CINXE.COM

<!doctype html> <html lang="en-US"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1"> <link rel="profile" href="https://gmpg.org/xfn/11"> <meta name='robots' content='index, follow, max-image-preview:large, max-snippet:-1, max-video-preview:-1' /> <style>img:is([sizes="auto" i], [sizes^="auto," i]) { contain-intrinsic-size: 3000px 1500px }</style>  <title>Applied Data Science Track Papers - ACM KDD 2024</title> <link rel="canonical" href="https://kdd2024.kdd.org/applied-data-science-track-papers/" /> <meta property="og:locale" content="en_US" /> <meta property="og:type" content="article" /> <meta property="og:title" content="Applied Data Science Track Papers - ACM KDD 2024" /> <meta property="og:description" content="Applied Data Science Track Papers Schedule Tuesday, August 27 11:00-13:00, Room 119Theme: Industrial / Manufacturing ApplicationsSession Chair: TBD Personalized Product Assortment with Real-time 3D Perception and Bayesian Payoff Estimation Porter Jenkins (Brigham Young University); Michael Selander (Delicious AI); J. Stockton Jenkins (Delicious AI); Andrew Merrill (Delicious AI); Kyle Armstrong (Delicious AI) Pre-trained KPI Anomaly Detection […]" /> <meta property="og:url" content="https://kdd2024.kdd.org/applied-data-science-track-papers/" /> <meta property="og:site_name" content="ACM KDD 2024" /> <meta property="article:modified_time" content="2024-08-14T15:05:37+00:00" /> <meta name="twitter:card" content="summary_large_image" /> <meta name="twitter:label1" content="Est. reading time" /> <meta name="twitter:data1" content="36 minutes" /> <script type="application/ld+json" class="yoast-schema-graph">{"@context":"https://schema.org","@graph":[{"@type":"WebPage","@id":"https://kdd2024.kdd.org/applied-data-science-track-papers/","url":"https://kdd2024.kdd.org/applied-data-science-track-papers/","name":"Applied Data Science Track Papers - ACM KDD 2024","isPartOf":{"@id":"https://kdd2024.kdd.org/#website"},"datePublished":"2024-08-02T17:24:38+00:00","dateModified":"2024-08-14T15:05:37+00:00","breadcrumb":{"@id":"https://kdd2024.kdd.org/applied-data-science-track-papers/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https://kdd2024.kdd.org/applied-data-science-track-papers/"]}]},{"@type":"BreadcrumbList","@id":"https://kdd2024.kdd.org/applied-data-science-track-papers/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://kdd2024.kdd.org/"},{"@type":"ListItem","position":2,"name":"Applied Data Science Track Papers"}]},{"@type":"WebSite","@id":"https://kdd2024.kdd.org/#website","url":"https://kdd2024.kdd.org/","name":"ACM KDD 2024","description":"KDD 2024 | Barcelona, Spain","publisher":{"@id":"https://kdd2024.kdd.org/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://kdd2024.kdd.org/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https://kdd2024.kdd.org/#organization","name":"ACM KDD 2024","url":"https://kdd2024.kdd.org/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https://kdd2024.kdd.org/#/schema/logo/image/","url":"https://kdd2024.kdd.org/wp-content/uploads/2024/01/kdd24-logo-small.jpeg","contentUrl":"https://kdd2024.kdd.org/wp-content/uploads/2024/01/kdd24-logo-small.jpeg","width":640,"height":144,"caption":"ACM KDD 2024"},"image":{"@id":"https://kdd2024.kdd.org/#/schema/logo/image/"}}]}</script>  <link rel='dns-prefetch' href='//use.typekit.net' /> <link rel='dns-prefetch' href='//use.fontawesome.com' /> <link rel="alternate" type="application/rss+xml" title="ACM KDD 2024 » Feed" href="https://kdd2024.kdd.org/feed/" /> <link rel="alternate" type="application/rss+xml" title="ACM KDD 2024 » Comments Feed" href="https://kdd2024.kdd.org/comments/feed/" /> <script> window._wpemojiSettings = {"baseUrl":"https:\/\/s.w.org\/images\/core\/emoji\/15.0.3\/72x72\/","ext":".png","svgUrl":"https:\/\/s.w.org\/images\/core\/emoji\/15.0.3\/svg\/","svgExt":".svg","source":{"concatemoji":"https:\/\/kdd2024.kdd.org\/wp-includes\/js\/wp-emoji-release.min.js?ver=6.7.1"}}; /*! This file is auto-generated */ !function(i,n){var o,s,e;function c(e){try{var t={supportTests:e,timestamp:(new Date).valueOf()};sessionStorage.setItem(o,JSON.stringify(t))}catch(e){}}function p(e,t,n){e.clearRect(0,0,e.canvas.width,e.canvas.height),e.fillText(t,0,0);var t=new Uint32Array(e.getImageData(0,0,e.canvas.width,e.canvas.height).data),r=(e.clearRect(0,0,e.canvas.width,e.canvas.height),e.fillText(n,0,0),new Uint32Array(e.getImageData(0,0,e.canvas.width,e.canvas.height).data));return t.every(function(e,t){return e===r[t]})}function u(e,t,n){switch(t){case"flag":return n(e,"\ud83c\udff3\ufe0f\u200d\u26a7\ufe0f","\ud83c\udff3\ufe0f\u200b\u26a7\ufe0f")?!1:!n(e,"\ud83c\uddfa\ud83c\uddf3","\ud83c\uddfa\u200b\ud83c\uddf3")&&!n(e,"\ud83c\udff4\udb40\udc67\udb40\udc62\udb40\udc65\udb40\udc6e\udb40\udc67\udb40\udc7f","\ud83c\udff4\u200b\udb40\udc67\u200b\udb40\udc62\u200b\udb40\udc65\u200b\udb40\udc6e\u200b\udb40\udc67\u200b\udb40\udc7f");case"emoji":return!n(e,"\ud83d\udc26\u200d\u2b1b","\ud83d\udc26\u200b\u2b1b")}return!1}function f(e,t,n){var r="undefined"!=typeof WorkerGlobalScope&&self instanceof WorkerGlobalScope?new OffscreenCanvas(300,150):i.createElement("canvas"),a=r.getContext("2d",{willReadFrequently:!0}),o=(a.textBaseline="top",a.font="600 32px Arial",{});return e.forEach(function(e){o[e]=t(a,e,n)}),o}function t(e){var t=i.createElement("script");t.src=e,t.defer=!0,i.head.appendChild(t)}"undefined"!=typeof Promise&&(o="wpEmojiSettingsSupports",s=["flag","emoji"],n.supports={everything:!0,everythingExceptFlag:!0},e=new Promise(function(e){i.addEventListener("DOMContentLoaded",e,{once:!0})}),new Promise(function(t){var n=function(){try{var e=JSON.parse(sessionStorage.getItem(o));if("object"==typeof e&&"number"==typeof e.timestamp&&(new Date).valueOf()<e.timestamp+604800&&"object"==typeof e.supportTests)return e.supportTests}catch(e){}return null}();if(!n){if("undefined"!=typeof Worker&&"undefined"!=typeof OffscreenCanvas&&"undefined"!=typeof URL&&URL.createObjectURL&&"undefined"!=typeof Blob)try{var e="postMessage("+f.toString()+"("+[JSON.stringify(s),u.toString(),p.toString()].join(",")+"));",r=new Blob([e],{type:"text/javascript"}),a=new Worker(URL.createObjectURL(r),{name:"wpTestEmojiSupports"});return void(a.onmessage=function(e){c(n=e.data),a.terminate(),t(n)})}catch(e){}c(n=f(s,u,p))}t(n)}).then(function(e){for(var t in e)n.supports[t]=e[t],n.supports.everything=n.supports.everything&&n.supports[t],"flag"!==t&&(n.supports.everythingExceptFlag=n.supports.everythingExceptFlag&&n.supports[t]);n.supports.everythingExceptFlag=n.supports.everythingExceptFlag&&!n.supports.flag,n.DOMReady=!1,n.readyCallback=function(){n.DOMReady=!0}}).then(function(){return e}).then(function(){var e;n.supports.everything||(n.readyCallback(),(e=n.source||{}).concatemoji?t(e.concatemoji):e.wpemoji&&e.twemoji&&(t(e.twemoji),t(e.wpemoji)))}))}((window,document),window._wpemojiSettings); </script> <style id='wp-emoji-styles-inline-css'> img.wp-smiley, img.emoji { display: inline !important; border: none !important; box-shadow: none !important; height: 1em !important; width: 1em !important; margin: 0 0.07em !important; vertical-align: -0.1em !important; background: none !important; padding: 0 !important; } </style> <link rel='stylesheet' id='wp-block-library-css' href='https://kdd2024.kdd.org/wp-includes/css/dist/block-library/style.min.css?ver=6.7.1' media='all' /> <style id='classic-theme-styles-inline-css'> /*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} </style> <style id='global-styles-inline-css'> :root{--wp--preset--aspect-ratio--square: 1;--wp--preset--aspect-ratio--4-3: 4/3;--wp--preset--aspect-ratio--3-4: 3/4;--wp--preset--aspect-ratio--3-2: 3/2;--wp--preset--aspect-ratio--2-3: 2/3;--wp--preset--aspect-ratio--16-9: 16/9;--wp--preset--aspect-ratio--9-16: 9/16;--wp--preset--color--black: #000000;--wp--preset--color--cyan-bluish-gray: #abb8c3;--wp--preset--color--white: #ffffff;--wp--preset--color--pale-pink: #f78da7;--wp--preset--color--vivid-red: #cf2e2e;--wp--preset--color--luminous-vivid-orange: #ff6900;--wp--preset--color--luminous-vivid-amber: #fcb900;--wp--preset--color--light-green-cyan: #7bdcb5;--wp--preset--color--vivid-green-cyan: #00d084;--wp--preset--color--pale-cyan-blue: #8ed1fc;--wp--preset--color--vivid-cyan-blue: #0693e3;--wp--preset--color--vivid-purple: #9b51e0;--wp--preset--gradient--vivid-cyan-blue-to-vivid-purple: linear-gradient(135deg,rgba(6,147,227,1) 0%,rgb(155,81,224) 100%);--wp--preset--gradient--light-green-cyan-to-vivid-green-cyan: linear-gradient(135deg,rgb(122,220,180) 0%,rgb(0,208,130) 100%);--wp--preset--gradient--luminous-vivid-amber-to-luminous-vivid-orange: linear-gradient(135deg,rgba(252,185,0,1) 0%,rgba(255,105,0,1) 100%);--wp--preset--gradient--luminous-vivid-orange-to-vivid-red: linear-gradient(135deg,rgba(255,105,0,1) 0%,rgb(207,46,46) 100%);--wp--preset--gradient--very-light-gray-to-cyan-bluish-gray: linear-gradient(135deg,rgb(238,238,238) 0%,rgb(169,184,195) 100%);--wp--preset--gradient--cool-to-warm-spectrum: linear-gradient(135deg,rgb(74,234,220) 0%,rgb(151,120,209) 20%,rgb(207,42,186) 40%,rgb(238,44,130) 60%,rgb(251,105,98) 80%,rgb(254,248,76) 100%);--wp--preset--gradient--blush-light-purple: linear-gradient(135deg,rgb(255,206,236) 0%,rgb(152,150,240) 100%);--wp--preset--gradient--blush-bordeaux: linear-gradient(135deg,rgb(254,205,165) 0%,rgb(254,45,45) 50%,rgb(107,0,62) 100%);--wp--preset--gradient--luminous-dusk: linear-gradient(135deg,rgb(255,203,112) 0%,rgb(199,81,192) 50%,rgb(65,88,208) 100%);--wp--preset--gradient--pale-ocean: linear-gradient(135deg,rgb(255,245,203) 0%,rgb(182,227,212) 50%,rgb(51,167,181) 100%);--wp--preset--gradient--electric-grass: linear-gradient(135deg,rgb(202,248,128) 0%,rgb(113,206,126) 100%);--wp--preset--gradient--midnight: linear-gradient(135deg,rgb(2,3,129) 0%,rgb(40,116,252) 100%);--wp--preset--font-size--small: 13px;--wp--preset--font-size--medium: 20px;--wp--preset--font-size--large: 36px;--wp--preset--font-size--x-large: 42px;--wp--preset--spacing--20: 0.44rem;--wp--preset--spacing--30: 0.67rem;--wp--preset--spacing--40: 1rem;--wp--preset--spacing--50: 1.5rem;--wp--preset--spacing--60: 2.25rem;--wp--preset--spacing--70: 3.38rem;--wp--preset--spacing--80: 5.06rem;--wp--preset--shadow--natural: 6px 6px 9px rgba(0, 0, 0, 0.2);--wp--preset--shadow--deep: 12px 12px 50px rgba(0, 0, 0, 0.4);--wp--preset--shadow--sharp: 6px 6px 0px rgba(0, 0, 0, 0.2);--wp--preset--shadow--outlined: 6px 6px 0px -3px rgba(255, 255, 255, 1), 6px 6px rgba(0, 0, 0, 1);--wp--preset--shadow--crisp: 6px 6px 0px rgba(0, 0, 0, 1);}:where(.is-layout-flex){gap: 0.5em;}:where(.is-layout-grid){gap: 0.5em;}body .is-layout-flex{display: flex;}.is-layout-flex{flex-wrap: wrap;align-items: center;}.is-layout-flex > :is(*, div){margin: 0;}body .is-layout-grid{display: grid;}.is-layout-grid > :is(*, div){margin: 0;}:where(.wp-block-columns.is-layout-flex){gap: 2em;}:where(.wp-block-columns.is-layout-grid){gap: 2em;}:where(.wp-block-post-template.is-layout-flex){gap: 1.25em;}:where(.wp-block-post-template.is-layout-grid){gap: 1.25em;}.has-black-color{color: var(--wp--preset--color--black) !important;}.has-cyan-bluish-gray-color{color: var(--wp--preset--color--cyan-bluish-gray) !important;}.has-white-color{color: var(--wp--preset--color--white) !important;}.has-pale-pink-color{color: var(--wp--preset--color--pale-pink) !important;}.has-vivid-red-color{color: var(--wp--preset--color--vivid-red) !important;}.has-luminous-vivid-orange-color{color: var(--wp--preset--color--luminous-vivid-orange) !important;}.has-luminous-vivid-amber-color{color: var(--wp--preset--color--luminous-vivid-amber) !important;}.has-light-green-cyan-color{color: var(--wp--preset--color--light-green-cyan) !important;}.has-vivid-green-cyan-color{color: var(--wp--preset--color--vivid-green-cyan) !important;}.has-pale-cyan-blue-color{color: var(--wp--preset--color--pale-cyan-blue) !important;}.has-vivid-cyan-blue-color{color: var(--wp--preset--color--vivid-cyan-blue) !important;}.has-vivid-purple-color{color: var(--wp--preset--color--vivid-purple) !important;}.has-black-background-color{background-color: var(--wp--preset--color--black) !important;}.has-cyan-bluish-gray-background-color{background-color: var(--wp--preset--color--cyan-bluish-gray) !important;}.has-white-background-color{background-color: var(--wp--preset--color--white) !important;}.has-pale-pink-background-color{background-color: var(--wp--preset--color--pale-pink) !important;}.has-vivid-red-background-color{background-color: var(--wp--preset--color--vivid-red) !important;}.has-luminous-vivid-orange-background-color{background-color: var(--wp--preset--color--luminous-vivid-orange) !important;}.has-luminous-vivid-amber-background-color{background-color: var(--wp--preset--color--luminous-vivid-amber) !important;}.has-light-green-cyan-background-color{background-color: var(--wp--preset--color--light-green-cyan) !important;}.has-vivid-green-cyan-background-color{background-color: var(--wp--preset--color--vivid-green-cyan) !important;}.has-pale-cyan-blue-background-color{background-color: var(--wp--preset--color--pale-cyan-blue) !important;}.has-vivid-cyan-blue-background-color{background-color: var(--wp--preset--color--vivid-cyan-blue) !important;}.has-vivid-purple-background-color{background-color: var(--wp--preset--color--vivid-purple) !important;}.has-black-border-color{border-color: var(--wp--preset--color--black) !important;}.has-cyan-bluish-gray-border-color{border-color: var(--wp--preset--color--cyan-bluish-gray) !important;}.has-white-border-color{border-color: var(--wp--preset--color--white) !important;}.has-pale-pink-border-color{border-color: var(--wp--preset--color--pale-pink) !important;}.has-vivid-red-border-color{border-color: var(--wp--preset--color--vivid-red) !important;}.has-luminous-vivid-orange-border-color{border-color: var(--wp--preset--color--luminous-vivid-orange) !important;}.has-luminous-vivid-amber-border-color{border-color: var(--wp--preset--color--luminous-vivid-amber) !important;}.has-light-green-cyan-border-color{border-color: var(--wp--preset--color--light-green-cyan) !important;}.has-vivid-green-cyan-border-color{border-color: var(--wp--preset--color--vivid-green-cyan) !important;}.has-pale-cyan-blue-border-color{border-color: var(--wp--preset--color--pale-cyan-blue) !important;}.has-vivid-cyan-blue-border-color{border-color: var(--wp--preset--color--vivid-cyan-blue) !important;}.has-vivid-purple-border-color{border-color: var(--wp--preset--color--vivid-purple) !important;}.has-vivid-cyan-blue-to-vivid-purple-gradient-background{background: var(--wp--preset--gradient--vivid-cyan-blue-to-vivid-purple) !important;}.has-light-green-cyan-to-vivid-green-cyan-gradient-background{background: var(--wp--preset--gradient--light-green-cyan-to-vivid-green-cyan) !important;}.has-luminous-vivid-amber-to-luminous-vivid-orange-gradient-background{background: var(--wp--preset--gradient--luminous-vivid-amber-to-luminous-vivid-orange) !important;}.has-luminous-vivid-orange-to-vivid-red-gradient-background{background: var(--wp--preset--gradient--luminous-vivid-orange-to-vivid-red) !important;}.has-very-light-gray-to-cyan-bluish-gray-gradient-background{background: var(--wp--preset--gradient--very-light-gray-to-cyan-bluish-gray) !important;}.has-cool-to-warm-spectrum-gradient-background{background: var(--wp--preset--gradient--cool-to-warm-spectrum) !important;}.has-blush-light-purple-gradient-background{background: var(--wp--preset--gradient--blush-light-purple) !important;}.has-blush-bordeaux-gradient-background{background: var(--wp--preset--gradient--blush-bordeaux) !important;}.has-luminous-dusk-gradient-background{background: var(--wp--preset--gradient--luminous-dusk) !important;}.has-pale-ocean-gradient-background{background: var(--wp--preset--gradient--pale-ocean) !important;}.has-electric-grass-gradient-background{background: var(--wp--preset--gradient--electric-grass) !important;}.has-midnight-gradient-background{background: var(--wp--preset--gradient--midnight) !important;}.has-small-font-size{font-size: var(--wp--preset--font-size--small) !important;}.has-medium-font-size{font-size: var(--wp--preset--font-size--medium) !important;}.has-large-font-size{font-size: var(--wp--preset--font-size--large) !important;}.has-x-large-font-size{font-size: var(--wp--preset--font-size--x-large) !important;} :where(.wp-block-post-template.is-layout-flex){gap: 1.25em;}:where(.wp-block-post-template.is-layout-grid){gap: 1.25em;} :where(.wp-block-columns.is-layout-flex){gap: 2em;}:where(.wp-block-columns.is-layout-grid){gap: 2em;} :root :where(.wp-block-pullquote){font-size: 1.5em;line-height: 1.6;} </style> <link rel='stylesheet' id='custom-typekit-css-css' href='https://use.typekit.net/cig0mor.css?ver=1.0.18' media='all' /> <link rel='stylesheet' id='ce_responsive-css' href='https://kdd2024.kdd.org/wp-content/plugins/simple-embed-code/css/video-container.min.css?ver=2.3.9' media='all' /> <link rel='stylesheet' id='hello-elementor-css' href='https://kdd2024.kdd.org/wp-content/themes/hello-elementor/style.min.css?ver=3.0.0' media='all' /> <link rel='stylesheet' id='hello-elementor-theme-style-css' href='https://kdd2024.kdd.org/wp-content/themes/hello-elementor/theme.min.css?ver=3.0.0' media='all' /> <link rel='stylesheet' id='hello-elementor-header-footer-css' href='https://kdd2024.kdd.org/wp-content/themes/hello-elementor/header-footer.min.css?ver=3.0.0' media='all' /> <link rel='stylesheet' id='elementor-frontend-css' href='https://kdd2024.kdd.org/wp-content/plugins/elementor/assets/css/frontend-lite.min.css?ver=3.18.3' media='all' /> <link rel='stylesheet' id='elementor-post-23-css' href='https://kdd2024.kdd.org/wp-content/uploads/elementor/css/post-23.css?ver=1716354392' media='all' /> <link rel='stylesheet' id='font-awesome-official-css' href='https://use.fontawesome.com/releases/v6.4.2/css/all.css' media='all' integrity="sha384-blOohCVdhjmtROpu8+CfTnUWham9nkX7P7OZQMst+RUnhtoY/9qemFAkIKOYxDI3" crossorigin="anonymous" /> <link rel='stylesheet' id='font-awesome-official-v4shim-css' href='https://use.fontawesome.com/releases/v6.4.2/css/v4-shims.css' media='all' integrity="sha384-IqMDcR2qh8kGcGdRrxwop5R2GiUY5h8aDR/LhYxPYiXh3sAAGGDkFvFqWgFvTsTd" crossorigin="anonymous" /> <link rel="https://api.w.org/" href="https://kdd2024.kdd.org/wp-json/" /><link rel="alternate" title="JSON" type="application/json" href="https://kdd2024.kdd.org/wp-json/wp/v2/pages/1002" /><link rel="EditURI" type="application/rsd+xml" title="RSD" href="https://kdd2024.kdd.org/xmlrpc.php?rsd" /> <meta name="generator" content="WordPress 6.7.1" /> <link rel='shortlink' href='https://kdd2024.kdd.org/?p=1002' /> <link rel="alternate" title="oEmbed (JSON)" type="application/json+oembed" href="https://kdd2024.kdd.org/wp-json/oembed/1.0/embed?url=https%3A%2F%2Fkdd2024.kdd.org%2Fapplied-data-science-track-papers%2F" /> <link rel="alternate" title="oEmbed (XML)" type="text/xml+oembed" href="https://kdd2024.kdd.org/wp-json/oembed/1.0/embed?url=https%3A%2F%2Fkdd2024.kdd.org%2Fapplied-data-science-track-papers%2F&format=xml" /> <meta name="generator" content="Site Kit by Google 1.122.0" /><meta name="generator" content="Elementor 3.18.3; features: e_dom_optimization, e_optimized_assets_loading, e_optimized_css_loading, e_font_icon_svg, additional_custom_breakpoints, block_editor_assets_optimize, e_image_loading_optimization; settings: css_print_method-external, google_font-enabled, font_display-swap"> </head> <body class="page-template-default page page-id-1002 wp-custom-logo elementor-default elementor-kit-23"> <a class="skip-link screen-reader-text" href="#content">Skip to content</a> <header id="site-header" class="site-header dynamic-header menu-dropdown-tablet"> <div class="header-inner"> <div class="site-branding show-logo"> <div class="site-logo show"> <a href="https://kdd2024.kdd.org/" class="custom-logo-link" rel="home"><img width="640" height="144" src="https://kdd2024.kdd.org/wp-content/uploads/2024/01/kdd24-logo-small.jpeg" class="custom-logo" alt="ACM KDD 2024" decoding="async" srcset="https://kdd2024.kdd.org/wp-content/uploads/2024/01/kdd24-logo-small.jpeg 640w, https://kdd2024.kdd.org/wp-content/uploads/2024/01/kdd24-logo-small-300x68.jpeg 300w" sizes="(max-width: 640px) 100vw, 640px" /></a> </div> </div> <nav class="site-navigation show"> <div class="menu-primary-menu-container"><ul id="menu-primary-menu" class="menu"><li id="menu-item-95" class="menu-item menu-item-type-custom menu-item-object-custom current-menu-ancestor current-menu-parent menu-item-has-children menu-item-95"><a href="#">Program</a> <ul class="sub-menu"> <li id="menu-item-1137" class="menu-item menu-item-type-custom menu-item-object-custom menu-item-1137"><a href="https://dl.acm.org/doi/proceedings/10.1145/3637528">KDD Proceedings</a></li> <li id="menu-item-877" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-877"><a href="https://kdd2024.kdd.org/agenda/">Agenda</a></li> <li id="menu-item-1138" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-1138"><a href="https://kdd2024.kdd.org/awards/">Awards</a></li> <li id="menu-item-1001" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-1001"><a href="https://kdd2024.kdd.org/research-track-papers/">Research Track Papers</a></li> <li id="menu-item-1035" class="menu-item menu-item-type-post_type menu-item-object-page current-menu-item page_item page-item-1002 current_page_item menu-item-1035"><a href="https://kdd2024.kdd.org/applied-data-science-track-papers/" aria-current="page">Applied Data Science Track Papers</a></li> <li id="menu-item-508" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-508"><a href="https://kdd2024.kdd.org/workshops/">Workshops</a></li> <li id="menu-item-573" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-573"><a href="https://kdd2024.kdd.org/tutorials/">Tutorials</a></li> <li id="menu-item-718" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-718"><a href="https://kdd2024.kdd.org/keynote-speakers/">Keynote Speakers</a></li> <li id="menu-item-942" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-942"><a href="https://kdd2024.kdd.org/applied-data-science-invited-speakers/">Applied Data Science Invited Speakers</a></li> <li id="menu-item-422" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-422"><a href="https://kdd2024.kdd.org/special-days/">Special Days</a></li> <li id="menu-item-860" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-860"><a href="https://kdd2024.kdd.org/ph-d-consortium/">Ph.D. Consortium</a></li> <li id="menu-item-888" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-888"><a href="https://kdd2024.kdd.org/undergraduate-consortium/">Undergraduate Consortium</a></li> <li id="menu-item-803" class="menu-item menu-item-type-custom menu-item-object-custom menu-item-has-children menu-item-803"><a href="#">Author Information</a> <ul class="sub-menu"> <li id="menu-item-802" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-802"><a href="https://kdd2024.kdd.org/presentation-instructions/">Presentation Instructions</a></li> <li id="menu-item-586" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-586"><a href="https://kdd2024.kdd.org/author-information/">Promotional Video</a></li> </ul> </li> <li id="menu-item-914" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-914"><a href="https://kdd2024.kdd.org/audience-appreciation-competition/">Audience Appreciation Competition</a></li> </ul> </li> <li id="menu-item-96" class="menu-item menu-item-type-custom menu-item-object-custom menu-item-has-children menu-item-96"><a href="#">Attending</a> <ul class="sub-menu"> <li id="menu-item-436" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-436"><a href="https://kdd2024.kdd.org/registration/">Registration</a></li> <li id="menu-item-612" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-612"><a href="https://kdd2024.kdd.org/hotel-information/">Hotel Information</a></li> <li id="menu-item-763" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-763"><a href="https://kdd2024.kdd.org/local-information/">Local Information</a></li> <li id="menu-item-696" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-696"><a href="https://kdd2024.kdd.org/food-at-the-conference/">Food at the Conference</a></li> <li id="menu-item-341" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-341"><a href="https://kdd2024.kdd.org/visa-support-letters/">Visa Support Letters</a></li> <li id="menu-item-588" class="menu-item menu-item-type-custom menu-item-object-custom menu-item-588"><a href="https://web.cvent.com/event/24801cf3-7e06-43cf-9171-a0489b29025a/websitePage:ac9c4458-0b3d-4cbb-b65c-b69a5fca2721">Frequently Asked Questions</a></li> </ul> </li> <li id="menu-item-487" class="menu-item menu-item-type-custom menu-item-object-custom menu-item-has-children menu-item-487"><a href="#">KDD Cup</a> <ul class="sub-menu"> <li id="menu-item-486" class="menu-item menu-item-type-custom menu-item-object-custom menu-item-486"><a href="https://www.aicrowd.com/challenges/amazon-kdd-cup-2024-multi-task-online-shopping-challenge-for-llms">Amazon LLM Multi-Task Shopping</a></li> <li id="menu-item-491" class="menu-item menu-item-type-custom menu-item-object-custom menu-item-491"><a href="https://www.aicrowd.com/challenges/meta-comprehensive-rag-benchmark-kdd-cup-2024">Meta Comprehensive RAG</a></li> <li id="menu-item-488" class="menu-item menu-item-type-custom menu-item-object-custom menu-item-488"><a href="https://www.biendata.xyz/kdd2024/">OAG Academic Graph Mining</a></li> </ul> </li> <li id="menu-item-66" class="menu-item menu-item-type-custom menu-item-object-custom menu-item-has-children menu-item-66"><a href="#">Calls</a> <ul class="sub-menu"> <li id="menu-item-67" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-67"><a href="https://kdd2024.kdd.org/research-track-call-for-papers/">Research Track: Call for Papers</a></li> <li id="menu-item-68" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-68"><a href="https://kdd2024.kdd.org/applied-data-science-ads-track-call-for-papers/">Applied Data Science (ADS) Track: Call for Papers</a></li> <li id="menu-item-179" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-179"><a href="https://kdd2024.kdd.org/call-for-lecture-style-tutorials/">Call for Lecture-Style Tutorials</a></li> <li id="menu-item-181" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-181"><a href="https://kdd2024.kdd.org/call-for-hands-on-tutorials/">Call for Hands-On Tutorials</a></li> <li id="menu-item-303" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-303"><a href="https://kdd2024.kdd.org/call-for-workshop-proposals/">Call for Workshop Proposals</a></li> <li id="menu-item-180" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-180"><a href="https://kdd2024.kdd.org/call-for-kdd-cup-proposals/">Call for KDD Cup Proposals</a></li> <li id="menu-item-392" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-392"><a href="https://kdd2024.kdd.org/call-for-undergraduate-consortium/">Call for Undergraduate Consortium</a></li> <li id="menu-item-410" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-410"><a href="https://kdd2024.kdd.org/call-for-phd-consortium/">Call for PhD Consortium</a></li> <li id="menu-item-515" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-515"><a href="https://kdd2024.kdd.org/call-for-award-nominations/">Call for Award Nominations</a></li> <li id="menu-item-566" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-566"><a href="https://kdd2024.kdd.org/call-for-student-travel-award-applications/">Call for Student Travel Award Applications</a></li> </ul> </li> <li id="menu-item-454" class="menu-item menu-item-type-custom menu-item-object-custom menu-item-has-children menu-item-454"><a href="#">Sponsors</a> <ul class="sub-menu"> <li id="menu-item-102" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-102"><a href="https://kdd2024.kdd.org/sponsorship-opportunities/">Sponsorship Opportunities</a></li> <li id="menu-item-453" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-453"><a href="https://kdd2024.kdd.org/sponsors-and-partners/">Sponsors and Partners</a></li> </ul> </li> <li id="menu-item-123" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-123"><a href="https://kdd2024.kdd.org/organizing-committee/">Organizers</a></li> </ul></div> </nav> <div class="site-navigation-toggle-holder show"> <div class="site-navigation-toggle" role="button" tabindex="0"> <i class="eicon-menu-bar" aria-hidden="true"></i> <span class="screen-reader-text">Menu</span> </div> </div> <nav class="site-navigation-dropdown show"> <div class="menu-primary-menu-container"><ul id="menu-primary-menu" class="menu"><li id="menu-item-95" class="menu-item menu-item-type-custom menu-item-object-custom current-menu-ancestor current-menu-parent menu-item-has-children menu-item-95"><a href="#">Program</a> <ul class="sub-menu"> <li id="menu-item-1137" class="menu-item menu-item-type-custom menu-item-object-custom menu-item-1137"><a href="https://dl.acm.org/doi/proceedings/10.1145/3637528">KDD Proceedings</a></li> <li id="menu-item-877" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-877"><a href="https://kdd2024.kdd.org/agenda/">Agenda</a></li> <li id="menu-item-1138" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-1138"><a href="https://kdd2024.kdd.org/awards/">Awards</a></li> <li id="menu-item-1001" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-1001"><a href="https://kdd2024.kdd.org/research-track-papers/">Research Track Papers</a></li> <li id="menu-item-1035" class="menu-item menu-item-type-post_type menu-item-object-page current-menu-item page_item page-item-1002 current_page_item menu-item-1035"><a href="https://kdd2024.kdd.org/applied-data-science-track-papers/" aria-current="page">Applied Data Science Track Papers</a></li> <li id="menu-item-508" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-508"><a href="https://kdd2024.kdd.org/workshops/">Workshops</a></li> <li id="menu-item-573" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-573"><a href="https://kdd2024.kdd.org/tutorials/">Tutorials</a></li> <li id="menu-item-718" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-718"><a href="https://kdd2024.kdd.org/keynote-speakers/">Keynote Speakers</a></li> <li id="menu-item-942" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-942"><a href="https://kdd2024.kdd.org/applied-data-science-invited-speakers/">Applied Data Science Invited Speakers</a></li> <li id="menu-item-422" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-422"><a href="https://kdd2024.kdd.org/special-days/">Special Days</a></li> <li id="menu-item-860" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-860"><a href="https://kdd2024.kdd.org/ph-d-consortium/">Ph.D. Consortium</a></li> <li id="menu-item-888" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-888"><a href="https://kdd2024.kdd.org/undergraduate-consortium/">Undergraduate Consortium</a></li> <li id="menu-item-803" class="menu-item menu-item-type-custom menu-item-object-custom menu-item-has-children menu-item-803"><a href="#">Author Information</a> <ul class="sub-menu"> <li id="menu-item-802" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-802"><a href="https://kdd2024.kdd.org/presentation-instructions/">Presentation Instructions</a></li> <li id="menu-item-586" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-586"><a href="https://kdd2024.kdd.org/author-information/">Promotional Video</a></li> </ul> </li> <li id="menu-item-914" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-914"><a href="https://kdd2024.kdd.org/audience-appreciation-competition/">Audience Appreciation Competition</a></li> </ul> </li> <li id="menu-item-96" class="menu-item menu-item-type-custom menu-item-object-custom menu-item-has-children menu-item-96"><a href="#">Attending</a> <ul class="sub-menu"> <li id="menu-item-436" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-436"><a href="https://kdd2024.kdd.org/registration/">Registration</a></li> <li id="menu-item-612" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-612"><a href="https://kdd2024.kdd.org/hotel-information/">Hotel Information</a></li> <li id="menu-item-763" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-763"><a href="https://kdd2024.kdd.org/local-information/">Local Information</a></li> <li id="menu-item-696" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-696"><a href="https://kdd2024.kdd.org/food-at-the-conference/">Food at the Conference</a></li> <li id="menu-item-341" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-341"><a href="https://kdd2024.kdd.org/visa-support-letters/">Visa Support Letters</a></li> <li id="menu-item-588" class="menu-item menu-item-type-custom menu-item-object-custom menu-item-588"><a href="https://web.cvent.com/event/24801cf3-7e06-43cf-9171-a0489b29025a/websitePage:ac9c4458-0b3d-4cbb-b65c-b69a5fca2721">Frequently Asked Questions</a></li> </ul> </li> <li id="menu-item-487" class="menu-item menu-item-type-custom menu-item-object-custom menu-item-has-children menu-item-487"><a href="#">KDD Cup</a> <ul class="sub-menu"> <li id="menu-item-486" class="menu-item menu-item-type-custom menu-item-object-custom menu-item-486"><a href="https://www.aicrowd.com/challenges/amazon-kdd-cup-2024-multi-task-online-shopping-challenge-for-llms">Amazon LLM Multi-Task Shopping</a></li> <li id="menu-item-491" class="menu-item menu-item-type-custom menu-item-object-custom menu-item-491"><a href="https://www.aicrowd.com/challenges/meta-comprehensive-rag-benchmark-kdd-cup-2024">Meta Comprehensive RAG</a></li> <li id="menu-item-488" class="menu-item menu-item-type-custom menu-item-object-custom menu-item-488"><a href="https://www.biendata.xyz/kdd2024/">OAG Academic Graph Mining</a></li> </ul> </li> <li id="menu-item-66" class="menu-item menu-item-type-custom menu-item-object-custom menu-item-has-children menu-item-66"><a href="#">Calls</a> <ul class="sub-menu"> <li id="menu-item-67" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-67"><a href="https://kdd2024.kdd.org/research-track-call-for-papers/">Research Track: Call for Papers</a></li> <li id="menu-item-68" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-68"><a href="https://kdd2024.kdd.org/applied-data-science-ads-track-call-for-papers/">Applied Data Science (ADS) Track: Call for Papers</a></li> <li id="menu-item-179" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-179"><a href="https://kdd2024.kdd.org/call-for-lecture-style-tutorials/">Call for Lecture-Style Tutorials</a></li> <li id="menu-item-181" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-181"><a href="https://kdd2024.kdd.org/call-for-hands-on-tutorials/">Call for Hands-On Tutorials</a></li> <li id="menu-item-303" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-303"><a href="https://kdd2024.kdd.org/call-for-workshop-proposals/">Call for Workshop Proposals</a></li> <li id="menu-item-180" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-180"><a href="https://kdd2024.kdd.org/call-for-kdd-cup-proposals/">Call for KDD Cup Proposals</a></li> <li id="menu-item-392" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-392"><a href="https://kdd2024.kdd.org/call-for-undergraduate-consortium/">Call for Undergraduate Consortium</a></li> <li id="menu-item-410" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-410"><a href="https://kdd2024.kdd.org/call-for-phd-consortium/">Call for PhD Consortium</a></li> <li id="menu-item-515" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-515"><a href="https://kdd2024.kdd.org/call-for-award-nominations/">Call for Award Nominations</a></li> <li id="menu-item-566" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-566"><a href="https://kdd2024.kdd.org/call-for-student-travel-award-applications/">Call for Student Travel Award Applications</a></li> </ul> </li> <li id="menu-item-454" class="menu-item menu-item-type-custom menu-item-object-custom menu-item-has-children menu-item-454"><a href="#">Sponsors</a> <ul class="sub-menu"> <li id="menu-item-102" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-102"><a href="https://kdd2024.kdd.org/sponsorship-opportunities/">Sponsorship Opportunities</a></li> <li id="menu-item-453" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-453"><a href="https://kdd2024.kdd.org/sponsors-and-partners/">Sponsors and Partners</a></li> </ul> </li> <li id="menu-item-123" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-123"><a href="https://kdd2024.kdd.org/organizing-committee/">Organizers</a></li> </ul></div> </nav> </div> </header> <main id="content" class="site-main post-1002 page type-page status-publish hentry"> <div class="page-content"> <h2 class="wp-block-heading has-text-align-center">Applied Data Science Track Papers Schedule</h2> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained"> <p class="has-text-align-center"><strong>Tuesday, August 27 11:00-13:00, Room 119<br>Theme: Industrial / Manufacturing Applications<br>Session Chair: TBD</strong></p> <figure class="wp-block-table is-style-stripes"><table class="has-fixed-layout"><tbody><tr><td><strong>Personalized Product Assortment with Real-time 3D Perception and Bayesian Payoff Estimation<strong></strong></strong></td></tr><tr><td>Porter Jenkins (Brigham Young University); Michael Selander (Delicious AI); J. Stockton Jenkins (Delicious AI); Andrew Merrill (Delicious AI); Kyle Armstrong (Delicious AI)</td></tr><tr><td><strong>Pre-trained KPI Anomaly Detection Model Based on Disentangled Transformer<strong></strong></strong></td></tr><tr><td>Zhaoyang Yu (Tsinghua University, BNRist); Changhua Pei (Computer Network Information Center, Chinese Academy of Sciences); Xin Wang (Stony Brook University); Minghua Ma (Microsoft); Chetan Bansal (Microsoft); Saravan Rajmohan (Microsoft); Qingwei Lin (Microsoft); Dongmei Zhang (Microsoft); Xidao Wen (BizSeer Technology); Jianhui Li (Computer Network Information Center, Chinese Academy of Sciences); Gaogang Xie (Computer Network Information Center, Chinese Academy of Sciences); Dan Pei (Tsinghua University, BNRist)</td></tr><tr><td><strong>Hierarchical Knowledge Guided Fault Intensity Diagnosis of Complex Industrial Systems<strong></strong></strong></td></tr><tr><td>Yu Sha (Xidian University, FIAS and XF-IJRC); Shuiping Gou (Xidian University); Bo Liu (Xidian University); Johannes Faber (FIAS); Ningtao Liu (Xidian University); Stefan Schramm (FIAS); Horst Stoecker (FIAS, Goethe Universit盲t and GSI); Thomas Steckenreiter (SAMSON AG); Domagoj Vnucec (SAMSON AG); Nadine Wetzstein (SAMSON AG); Andreas Widl (SAMSON AG); Kai Zhou (CUHK-SZ and FIAS)</td></tr><tr><td><strong>PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization<strong></strong></strong></td></tr><tr><td>Yuyang Ye (Department of Management Science and Information Systems, Rutgers Business School, Rutgers University); Lu-An Tang (Department of Data Science and System Security, NEC Laboratories); Haoyu Wang (Department of Data Science and System Security, NEC Laboratories); Runlong Yu (Department of Computer Science, University of Pittsburgh); Wenchao Yu (Department of Data Science and System Security, NEC Laboratories); Erhu He (Department of Data Science and System Security, NEC Laboratories); Haifeng Chen (Department of Data Science and System Security, NEC Laboratories); Hui Xiong (Thrust of Artificial Intelligence, Hong Kong University of Science and Technology (Guangzhou), Department of Computer Science and Engineering, The Hong Kong University of Science and Technology)</td></tr><tr><td><strong>Detecting Abnormal Operations in Concentrated Solar Power Plants from Irregular Sequences of Thermal Images<strong></strong></strong></td></tr><tr><td>Sukanya Patra (University of Mons); Nicolas Sournac (University of Mons); Souhaib Ben Taieb (University of Mons)</td></tr><tr><td><strong>GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection<strong></strong></strong></td></tr><tr><td>Zhanguang Zhang (Huawei Noah’s Ark Lab); Didier Ch茅telat (Huawei Noah’s Ark Lab); Joseph Cotnareanu (McGill University); Amur Ghose (Huawei Noah’s Ark Lab); Wenyi Xiao (Huawei Noah’s Ark Lab); Hui-Ling Zhen (Huawei Noah’s Ark Lab); Yingxue Zhang (Huawei Noah’s Ark Lab); Jianye Hao (Huawei Noah’s Ark Lab); Mark Coates (McGill University); Mingxuan Yuan (Huawei Noah’s Ark Lab)</td></tr><tr><td><strong>Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating Sparsity<strong></strong></strong></td></tr><tr><td>Harshavardhan Kamarthi (Georgia Institute of Technology); Aditya Sasanur (Georgia Institute of Technology); Xinjie Tong (Dow, Inc.); Xingyu Zhou (Dow, Inc.); James Peters (Northwestern University); Joseph Czyzyk (Dow, Inc.); B. Aditya Prakash (Georgia Institute of Technology)</td></tr></tbody></table></figure> </div></div> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained"> <p class="has-text-align-center"><strong>Tuesday, August 27 11:00-13:00, Room 124-125<br>Theme: LLM Benchmarking and Evaluation<br>Session Chair: TBD</strong></p> <figure class="wp-block-table is-style-stripes"><table class="has-fixed-layout"><tbody><tr><td><strong>EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis<strong></strong></strong></td></tr><tr><td>Zhiwei Liu (The University of Manchester); Kailai Yang (The University of Manchester); Qianqian Xie (The University of Manchester); Tianlin Zhang (The University of Manchester); Sophia Ananiadou (The University of Manchester, Artificial Intelligence Research Center)</td></tr><tr><td><strong>R-Eval: A Unified Toolkit for Evaluating Domain Knowledge of Retrieval Augmented Large Language Models<strong></strong></strong></td></tr><tr><td>Shangqing Tu (DCST, Tsinghua University); Yuanchun Wang (SoI, Renmin University of China); Jifan Yu (DCST, Tsinghua University); Yuyang Xie (DCST, Tsinghua University); Yaran Shi (SIOE, Beihang University); Xiaozhi Wang (DCST, Tsinghua University); Jing Zhang (SoI, Renmin University of China); Lei Hou (BNRist, DCST, Tsinghua University); Juanzi Li (BNRist, DCST, Tsinghua University)</td></tr><tr><td><strong>FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning<strong></strong></strong></td></tr><tr><td>Weirui Kuang (Alibaba Group); Bingchen Qian (Alibaba Group); Zitao Li (Alibaba Group); Daoyuan Chen (Alibaba Group); Dawei Gao (Alibaba Group); Xuchen Pan (Alibaba Group); Yuexiang Xie (Alibaba Group); Yaliang Li (Alibaba Group); Bolin Ding (Alibaba Group); Jingren Zhou (Alibaba Group)</td></tr><tr><td><strong>Measuring an LLM’s Proficiency at using APIs : A Query Generation Strategy<strong></strong></strong></td></tr><tr><td>Ying Sheng (Google Research); Sudeep Gandhe (Google Research); Bhargav Kanagal (Google Research); Nick Edmonds (Google Research); Zachary Fisher (Google Research); Sandeep Tata (Google Research); Aarush Selvan (Google)</td></tr><tr><td><strong>RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoning<strong></strong></strong></td></tr><tr><td>Congyun Jin (Ant Group); Ming Zhang (Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital); Xiaowei Ma (Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital); Li Yujiao (Ant Group); Yingbo Wang (Ant Group); Jia Yabo (Ant Group); Yuliang Du (Ant Group); Tao Sun (Ant Group); Haowen Wang (Ant Group); Cong Fan (Ant Group); Jinjie Gu (Ant Group); Chenfei Chi (Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital); Xiangguo Lv (Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital); Fangzhou Li (Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital); Wei Xue (Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital); Yiran Huang (Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital)</td></tr><tr><td><strong>Understanding the Weakness of Large Language Model Agents within a Complex Android Environment<strong></strong></strong></td></tr><tr><td>Mingzhe Xing (Peking University); Rongkai Zhang (Peking University); Hui Xue (Microsoft Research); Qi Chen (Microsoft Research); Fan Yang (Microsoft Research); Zhen Xiao (Peking University)</td></tr><tr><td><strong>Face4Rag: Factual Consistency Evaluation for Retrieval Augmented Generation in Chinese<strong></strong></strong></td></tr><tr><td>Yunqi Xu (Ant Group); Tianchi Cai (Ant Group); Jiyan Jiang (Tsinghua University); Xierui Song (Ant Group)</td></tr></tbody></table></figure> </div></div> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained"> <p class="has-text-align-center"><strong>Tuesday, August 27 11:00-13:00, Room 127-128<br>Theme: Recommendations for Advertising<br>Session Chair: TBD</strong></p> <figure class="wp-block-table is-style-stripes"><table class="has-fixed-layout"><tbody><tr><td><strong>Unified Low-rank Compression Framework for Click-through Rate Prediction<strong></strong></strong></td></tr><tr><td>Hao Yu (Nanjing University); Minghao Fu (Nanjing University); Jiandong Ding (Researcher); Yusheng Zhou (Researcher); Jianxin Wu (Nanjing University)</td></tr><tr><td><strong>Beyond Binary Preference: Leveraging Bayesian Approaches for Joint Optimization of Ranking and Calibration<strong></strong></strong></td></tr><tr><td>Chang Liu (Shanghai Jiaotong University); Qiwei Wang (Tencent); Wenqing Lin (Tencent); Yue Ding (Shanghai Jiao Tong University); Hongtao Lu (Shanghai Jiao Tong University)</td></tr><tr><td><strong>Enhancing Pre-Ranking Performance: Tackling Intermediary Challenges in Multi-Stage Cascading Recommendation Systems<strong></strong></strong></td></tr><tr><td>Jianping Wei (Ant Group); Yujie Zhou (Ant Group); Zhengwei Wu (Ant Group); Ziqi Liu (Ant Group)</td></tr><tr><td><strong>Unsupervised Ranking Ensemble Model for Recommendation<strong></strong></strong></td></tr><tr><td>Wenhui Yu (Kuaishou Technology); Bingqi Liu (Kuaishou Technology); Bin Xia (Kuaishou Technology); Xiaoxiao Xu (Kuaishou Technology); Ying Chen (Kuaishou Technology); Yongchang Li (Kuaishou Technology); Lantao Hu (Kuaishou Technology)</td></tr><tr><td><strong>Cross-Domain LifeLong Sequential Modeling for Online Click-Through Rate Prediction<strong></strong></strong></td></tr><tr><td>Ruijie Hou (Wechat, Tencent); Zhaoyang Yang (Wechat, Tencent); Yu Ming (Wechat, Tencent); Hongyu Lu (Wechat, Tencent); Zhuobin Zheng (Wechat, Tencent); Yu Chen (Wechat, Tencent); Qinsong Zeng (Wechat, Tencent); Ming Chen (Wechat, Tencent)</td></tr><tr><td><strong>Ads Recommendation in a Collapsed and Entangled World<strong></strong></strong></td></tr><tr><td>Junwei Pan (Tencent); Wei Xue (Tencent); Ximei Wang (Tencent); Haibin Yu (Tencent); Xun Liu (Tencent); Shijie Quan (Tencent); Xueming Qiu (Tencent); Dapeng Liu (Tencent); Lei Xiao (Tencent); Jie Jiang (Tencent)</td></tr><tr><td><strong>Optimizing Novelty of Top-k Recommendations using Large Language Models and Reinforcement Learning<strong></strong></strong></td></tr><tr><td>Amit Sharma (Microsoft Research); Hua Li (Microsoft Bing Ads); Xue Li (Microsoft Bing Ads); Jian Jiao (Microsoft Bing Ads)</td></tr></tbody></table></figure> </div></div> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained"> <p class="has-text-align-center"><strong>Tuesday, August 27 14:00-16:00, Room 119<br>Theme: Spatiotemporal Applications<br>Session Chair: TBD</strong></p> <figure class="wp-block-table is-style-stripes"><table class="has-fixed-layout"><tbody><tr><td><strong>Transportation Marketplace Rate Forecast Using Signature Transform<strong></strong></strong></td></tr><tr><td>Haotian Gu (University of California, Berkeley); Xin Guo (Worldwide Operations Research Science, Amazon.com Inc., University of California, Berkeley); Timothy L. Jacobs (Worldwide Operations Research Science, Amazon.com Inc.); Philip Kaminsky (Worldwide Operations Research Science, Amazon.com Inc., University of California, Berkeley); Xinyu Li (University of California, Berkeley)</td></tr><tr><td><strong>MARLP: Time-series Forecasting Control for Agricultural Managed Aquifer Recharge<strong></strong></strong></td></tr><tr><td>Yuning Chen (University of California, Merced); Kang Yang (University of California, Merced); Zhiyu An (University of California, Merced); Brady Holder (University of California, Agriculture and Natural Resources); Luke Paloutzian (University of California, Agriculture and Natural Resources); Khaled M. Bali (University of California, Agriculture and Natural Resources); Wan Du (University of California, Merced)</td></tr><tr><td><strong>Diffusion Model-based Mobile Traffic Generation with Open Data for Network Planning and Optimization<strong></strong></strong></td></tr><tr><td>Haoye Chai (Department of Electronic Engineering, BNRist, Tsinghua University); Tao Jiang (Research Center of 6G Mobile Communications, School of Cyber Science and Engineering, Huazhong University of Science and Technology); Li Yu (Chinamobile Research Institute)</td></tr><tr><td><strong>LaDe: The First Comprehensive Last-mile Express Dataset from Industry<strong></strong></strong></td></tr><tr><td>Lixia Wu (Cainiao Network); Haomin Wen (School of Computer and Information Technology, Beijing Jiaotong University, Cainiao Network); Haoyuan Hu (Cainiao Network); Xiaowei Mao (School of Computer and Information Technology, Beijing Jiaotong University, Cainiao Network); Yutong Xia (National University of Singapore); Ergang Shan (Cainiao Network); Jianbin Zheng (Artificial Intelligence Department, Cainiao Network); Junhong Lou (Cainiao Network); Yuxuan Liang (Hong Kong University of Science and Technology (Guangzhou)); Liuqing Yang (Hong Kong University of Science and Technology (Guangzhou)); Roger Zimmermann (National University of Singapore); Youfang Lin (School of Computer and Information Technology, Beijing Jiaotong Univercity); Huaiyu Wan (School of Computer and Information Technology, Beijing Jiaotong University)</td></tr><tr><td><strong>UrbanGPT: Spatio-Temporal Large Language Models<strong></strong></strong></td></tr><tr><td>Zhonghang Li (South China University of Technology, The University of Hong Kong); Lianghao Xia (The University of Hong Kong); Jiabin Tang (The University of Hong Kong); Yong Xu (South China University of Technology); Lei Shi (Baidu Inc.); Long Xia (Baidu Inc.); Dawei Yin (Baidu Inc.); Chao Huang (The University of Hong Kong)</td></tr><tr><td><strong>Spatio-Temporal Consistency Enhanced Differential Network for Interpretable Indoor Temperature Prediction<strong></strong></strong></td></tr><tr><td>Dekang Qi (Southwest Jiaotong University, JD iCity, JD Technology); Xiuwen Yi (JD iCity, JD Technology, JD Intelligent Cities Research); Chengjie Guo (Xidian University); Yanyong Huang (Southwestern University of Finance and Economics); Junbo Zhang (JD iCity, JD Technology, JD Intelligent Cities Research); Tianrui Li (Southwest Jiaotong University); Yu Zheng (JD iCity, JD Technology, JD Intelligent Cities Research)</td></tr><tr><td><strong>Weather Knows What Will Occur: Urban Public Nuisance Events Prediction and Control with Meteorological Assistance<strong></strong></strong></td></tr><tr><td>Yi Xie (Fudan University); Tianyu Qiu (Fudan University); Yun Xiong (Fudan University); Xiuqi Huang (Shanghai Jiaotong University); Xiaofeng Gao (Shanghai Jiao Tong University); Chao Chen (Sorbonne Universit茅 – Facult茅 des Sciences (Paris VI)); Qiang Wang (Shanghai Center for Meteorological Disaster Prevention Technology); Haihong Li (Shanghai Center for Meteorological Disaster Prevention Technology)</td></tr></tbody></table></figure> </div></div> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained"> <p class="has-text-align-center"><strong>Tuesday, August 27 14:00-16:00, Room 124-125<br>Theme: Benchmarking<br>Session Chair: TBD</strong></p> <figure class="wp-block-table is-style-stripes"><table class="has-fixed-layout"><tbody><tr><td><strong>OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining<strong></strong></strong></td></tr><tr><td>Fanjin Zhang (Tsinghua University); Shijie Shi (Zhipu AI); Yifan Zhu (Beijing University of Posts and Telecommunications); Bo Chen (Tsinghua University); Yukuo Cen (Zhipu AI); Jifan Yu (Tsinghua University); Yelin Chen (Zhipu AI); Lulu Wang (Zhipu AI); Qingfei Zhao (Zhipu AI); Yuqing Cheng (Zhipu AI); Tianyi Han (Zhipu AI); Yuwei An (Tsinghua University); Dan Zhang (Tsinghua University); Weng Lam Tam (Zhipu AI); Kun Cao (Zhipu AI); Yunhe Pang (Zhipu AI); Xinyu Guan (Biendata); Huihui Yuan (Zhipu AI); Jian Song (Zhipu AI); Xiaoyan Li (Zhipu AI); Yuxiao Dong (Tsinghua University); Jie Tang (Tsinghua University)</td></tr><tr><td><strong>FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs<strong></strong></strong></td></tr><tr><td>Shanshan Han (University of California, Irvine); Baturalp Buyukates (University of Southern California); Zijian Hu (TensorOpera Inc.); Han Jin (University of Southern California); Weizhao Jin (University of Southern California); Lichao Sun (Lehigh University); Xiaoyang Wang (UIUC); Wenxuan Wu (Texas A&M University); Chulin Xie (UIUC); Yuhang Yao (Carnegie Mellon University); Kai Zhang (Lehigh University); Qifan Zhang (University of California, Irvine); Yuhui Zhang (Zhejiang University); Carlee Joe-Wong (Carnegie Mellon University); Salman Avestimehr (USC, TensorOpera Inc); Chaoyang He (TensorOpera Inc.)</td></tr><tr><td><strong>ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems<strong></strong></strong></td></tr><tr><td>Pengyue Jia (City University of Hong Kong); Yejing Wang (City University of Hong Kong); Zhaocheng Du (Huawei Noah’s Ark Lab); Xiangyu Zhao (City University of Hong Kong); Yichao Wang (Huawei Noah’s Ark Lab); Bo Chen (Huawei Noah’s Ark Lab); Wanyu Wang (City University of Hong Kong); Huifeng Guo (Huawei Noah’s Ark Lab); Ruiming Tang (Huawei Noah’s Ark Lab)</td></tr><tr><td><strong>Class-incremental Learning for Time Series: Benchmark and Evaluation<strong></strong></strong></td></tr><tr><td>Zhongzheng Qiao (IGP-ERI@N, NTU, I2R, A*STAR); Quang Pham (I2R, A*STAR); Zhen Cao (I2R, A*STAR); Hoang H. Le (Ho Chi Minh University of Science, Vietnam National University); P. N. Suganthan (Qatar University); Xudong Jiang (School of Electrical and Electronic Engineering, NTU); Savitha Ramasamy (I2R, A*STAR, CNRS@CREATE)</td></tr><tr><td><strong>XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning Techniques<strong></strong></strong></td></tr><tr><td>Yu Xiong (Fuxi AI Lab, NetEase Inc.); Zhipeng Hu (Fuxi AI Lab, NetEase Inc.); Ye Huang (Fuxi AI Lab, NetEase Inc.); Runze Wu (Fuxi AI Lab, NetEase Inc.); Kai Guan (Fuxi AI Lab, NetEase Inc.); XingChen Fang (Fuxi AI Lab, NetEase Inc.); Ji Jiang (Fuxi AI Lab, NetEase Inc.); Tianze Zhou (Fuxi AI Lab, NetEase Inc.); YuJing Hu (Fuxi AI Lab, NetEase Inc.); Haoyu Liu (Fuxi AI Lab, NetEase Inc.); Tangjie Lyu (Fuxi AI Lab, NetEase Inc.); Changjie Fan (Fuxi AI Lab, NetEase Inc.)</td></tr><tr><td><strong>Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark<strong></strong></strong></td></tr><tr><td>Xiaowei Qian (Rensselaer Polytechnic Institute); Zhimeng Guo (Pennsylvania State University); Jialiang Li (New Jersey Institute of Technology); Haitao Mao (Michigan State University); Bingheng Li (University of Electronic Science and Technology of China); Suhang Wang (Pennsylvania State University); Yao Ma (Rensselaer Polytechnic Institute)</td></tr><tr><td><strong>From Variability to Stability: Advancing RecSys Benchmarking Practices<strong></strong></strong></td></tr><tr><td>Valeriy Shevchenko (Skoltech); Nikita Belousov (Skoltech); Alexey Vasilev (Sber AI Lab); Vladimir Zholobov (Skoltech, MIPT); Artyom Sosedka (Sber AI Lab); Natalia Semenova (AIRI, Sber AI Lab); Anna Volodkevich (Sber AI Lab); Andrey Savchenko (Sber AI Lab); Alexey Zaytsev (Skoltech, BIMSA)</td></tr></tbody></table></figure> </div></div> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained"> <p class="has-text-align-center"><strong>Tuesday, August 27 14:00-16:00, Room 127-128<br>Theme: Computational Advertising<br>Session Chair: TBD</strong></p> <figure class="wp-block-table is-style-stripes"><table class="has-fixed-layout"><tbody><tr><td><strong>Generative Auto-bidding via Conditional Diffusion Modeling<strong></strong></strong></td></tr><tr><td>Jiayan Guo (Peking University, Alibaba Group); Yusen Huo (Alibaba Group); Zhilin Zhang (Alibaba Group); Tianyu Wang (Alibaba Group); Chuan Yu (Alibaba Group); Jian Xu (Alibaba Group); Bo Zheng (Alibaba Group); Yan Zhang (Peking University)</td></tr><tr><td><strong>Know in $AdVance:$ Linear-Complexity Forecasting of Ad Campaign Performance with Evolving User Interest<strong></strong></strong></td></tr><tr><td>Xiaoyu Wang (University of Science and Technology of China, National Institute of Informatics); Yonghui Guo (Tencent Advertising); Hui Sheng (Tencent Advertising); Peili Lv (Tencent Advertising); Chi Zhou (Tencent Advertising); Wei Huang (Tencent Advertising); Shiqin Ta (Tencent Advertising); Dongbo Huang (Tencent Advertising); Xiujin Yang (Tencent Advertising); Lan Xu (Tencent Advertising); Hao Zhou (LINKE Lab, School of Computer Science and Technology, University of Science and Technology of China, CAS Key Laboratory of Wireless-Optical Communications, University of Science and Technology of China); Yusheng Ji (Information Systems Architecture Science Research Division, National Institute of Informatics)</td></tr><tr><td><strong>Deep Ensemble Shape Calibration: Multi-Field Post-hoc Calibration in Online Advertising<strong></strong></strong></td></tr><tr><td>Shuai Yang (Shopee Discovery Ads); Hao Yang (Shopee Discovery Ads); Zhuang Zou (Shopee Discovery Ads); Linhe Xu (Shopee Discovery Ads); Shuo Yuan (Shopee Discovery Ads); Yifan Zeng (Shopee Discovery Ads)</td></tr><tr><td><strong>Spending Programmed Bidding: Privacy-friendly Bid Optimization with ROI Constraint in Online Advertising<strong></strong></strong></td></tr><tr><td>Yumin Su (ByteDance Inc.); Min Xiang (ByteDance Inc.); Yifei Chen (ByteDance Inc.); Yanbiao Li (ByteDance Inc.); Tian Qin (ByteDance Inc.); Hongyi Zhang (ByteDance Inc.); Yasong Li (ByteDance Inc.); Xiaobing Liu (ByteDance Inc.)</td></tr><tr><td><strong>Offline Reinforcement Learning for Optimizing Production Bidding Policies<strong></strong></strong></td></tr><tr><td>Dmytro Korenkevych (AI at Meta); Frank Cheng (AI at Meta); Artsiom Balakir (AI at Meta); Alex Nikulkov (AI at Meta); Lingnan Gao (Meta Platform Inc.); Zhihao Cen (AI at Meta); Zuobing Xu (Meta Platform Inc.); Zheqing Zhu (AI at Meta)</td></tr><tr><td><strong>Understanding the Ranking Loss for Recommendation with Sparse User Feedback<strong></strong></strong></td></tr><tr><td>Zhutian Lin (Shenzhen International Graduate School, Tsinghua University); Junwei Pan (Tencent Inc.); Shangyu Zhang (Tencent Inc.); Ximei Wang (Tencent Inc.); Xi Xiao (Shenzhen International Graduate School, Tsinghua University); Huang Shudong (Tencent Inc.); Lei Xiao (Tencent Inc.); Jie Jiang (Tencent Inc.)</td></tr><tr><td><strong>ADSNet: Cross-Domain LTV Prediction with an Adaptive Siamese Network in Advertising<strong></strong></strong></td></tr><tr><td>Ruize Wang (Tencent Inc.); Hui Xu (Tencent Inc.); Ying Cheng (School of Computer Science, Fudan University); Qi He (Tencent Inc.); Xing Zhou (Tencent Inc.); Rui Feng (School of Computer Science, Fudan University); Wei Xu (Tencent Inc.); Lei Huang (Tencent Inc.); Jie Jiang (Tencent Inc.)</td></tr></tbody></table></figure> </div></div> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained"> <p class="has-text-align-center"><strong>Tuesday, August 27 16:30-18:30, Room 119<br>Theme: Live-streaming, Gaming, and Music<br>Session Chair: TBD</strong></p> <figure class="wp-block-table is-style-stripes"><table class="has-fixed-layout"><tbody><tr><td><strong>MMBee: Live Streaming Gift-Sending Recommendations via Multi-Modal Fusion and Behaviour Expansion<strong></strong></strong></td></tr><tr><td>Jiaxin Deng (Institute of Automation, School of Artificial Intelligence, University of Chinese Academy of Sciences); Shiyao Wang (KuaiShou Inc.); Yuchen Wang (KuaiShou Inc.); Jiansong Qi (KuaiShou Inc.); Liqin Zhao (KuaiShou Inc.); Guorui Zhou (KuaiShou Inc.); Gaofeng Meng (Institute of Automation)</td></tr><tr><td><strong>MGMatch: Fast Matchmaking with Nonlinear Objective and Constraints via Multimodal Deep Graph Learning<strong></strong></strong></td></tr><tr><td>Yu Sun (Shandong University); Kai Wang (Fuxi AI Lab, NetEase Inc); Zhipeng Hu (Fuxi AI Lab, NetEase Inc); Runze Wu (Fuxi AI Lab, NetEase Inc); Yaoxin Wu (Eindhoven University of Technology); Wen Song (Shandong University); Xudong Shen (Fuxi AI Lab, NetEase Inc); Tangjie Lv (Fuxi AI Lab, NetEase Inc); Changjie Fan (Fuxi AI Lab, NetEase Inc)</td></tr><tr><td><strong>Controllable Multi-Behavior Recommendation for In-Game Skins with Large Sequential Model<strong></strong></strong></td></tr><tr><td>Yanjie Gou (Common Data Platform, Tencent); Yuanzhou Yao (Institute of Computing Technology, Chinese Academy of Sciences, University of Chinese Academy of Sciences); Zhao Zhang (Institute of Computing Technology, Chinese Academy of Sciences); Yiqing Wu (Institute of Computing Technology, Chinese Academy of Sciences); Yi Hu (Common Data Platform, Tencent); Fuzhen Zhuang (Institute of Artificial Intelligence, Beihang University, Zhongguancun Laboratory); Jiangming Liu (School of Information Science and Engineering, Yunnan University); Yongjun Xu (Institute of Computing Technology, Chinese Academy of Sciences)</td></tr><tr><td><strong>SentHYMNent: An Interpretable and Sentiment-Driven Model for Algorithmic Melody Harmonization<strong></strong></strong></td></tr><tr><td>Stephen Hahn (Duke University); Jerry Yin (Duke University); Rico Zhu (Duke University); Weihan Xu (Duke University); Yue Jiang (Duke University); Simon Mak (Duke University); Cynthia Rudin (Duke University)</td></tr><tr><td><strong>Explainable and Interpretable Forecasts on Non-Smooth Multivariate Time Series for Responsible Gameplay<strong></strong></strong></td></tr><tr><td>Hussain Jagirdar (Games24x7); Rukma Talwadker (Games24x7); Aditya Pareek (Games24x7); Pulkit Agrawal (Games24x7); Tridib Mukherjee (Games24x7)</td></tr></tbody></table></figure> </div></div> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained"> <p class="has-text-align-center"><strong>Tuesday, August 27 16:30-18:30, Room 124-125<br>Theme: Deep Learning / Graph Learning for E-Commerce<br>Session Chair: TBD</strong></p> <figure class="wp-block-table is-style-stripes"><table class="has-fixed-layout"><tbody><tr><td><strong>Deep Bag-of-Words Model: An Efficient and Interpretable Relevance Architecture for Chinese E-Commerce<strong></strong></strong></td></tr><tr><td>Zhe Lin (Alibaba Group); Jiwei Tan (Alibaba Group); Ou Dan (Alibaba Group); Chen Xi (Alibaba Group); Shaowei Yao (Alibaba Group); Bo Zheng (Alibaba Group)</td></tr><tr><td><strong>Paths2Pair: Meta-path Based Link Prediction in Billion-Scale Commercial Heterogeneous Graphs<strong></strong></strong></td></tr><tr><td>Jinquan Hang (JD Logistics, Rutgers University, New Brunswick); Zhiqing Hong (Rutgers University, New Brunswick); Xinyue Feng (Rutgers University, New Brunswick); Guang Wang (Florida State University); Guang Yang (Rutgers University, New Brunswick); Feng Li (JD Logistics); Xining Song (JD Logistics); Desheng Zhang (Rutgers University, New Brunswick)</td></tr><tr><td><strong>GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications<strong></strong></strong></td></tr><tr><td>Da Zheng (Amazon AWS AI); Xiang Song (Amazon AWS AI); Qi Zhu (Amazon AWS AI); Jian Zhang (Amazon AWS AI); Theodore Vasiloudis (Amazon AWS AI); Runjie Ma (Amazon AWS AI); Houyu Zhang (Amazon Search AI); Zichen Wang (Amazon AWS AI); Soji Adeshina (Amazon AWS AI); Israt Nisa (Amazon AWS AI); Alejandro Mottini (Amazon Search AI); Qingjun Cui (Amazon Search AI); Huzefa Rangwala (Amazon AWS AI); Belinda Zeng (Amazon SP); Christos Faloutsos (Amazon AWS AI); George Karypis (Amazon AWS AI)</td></tr><tr><td><strong>Dynamic Pricing for Multi-Retailer Delivery Platforms with Additive Deep Learning and Evolutionary Optimization<strong></strong></strong></td></tr><tr><td>Ahmed Abdulaal (Walmart Global Tech); Ali Polat (Shipt); Hari Narayan (Shipt); Wenrong Zeng (Shipt); Yimin Yi (Shipt)</td></tr><tr><td><strong>Chaining Text-to-Image and Large Language Model: A Novel Approach for Generating Personalized e-commerce Banners<strong></strong></strong></td></tr><tr><td>Shanu Vashishtha (Walmart Global Tech); Abhinav Prakash (Walmart Global Tech); Lalitesh Morishetti (Walmart Global Tech); Kaushiki Nag (Walmart Global Tech); Yokila Arora (Walmart Global Tech); Sushant Kumar (Walmart Global Tech); Kannan Achan (Walmart Global Tech)</td></tr><tr><td><strong>Bringing Multimodality to Amazon Visual Search System<strong></strong></strong></td></tr><tr><td>Xinliang Zhu (Amazon); Sheng-Wei Huang (Amazon); Han Ding (Amazon); Jinyu Yang (Amazon); Kelvin Chen (Amazon); Tao Zhou (Amazon); Tal Neiman (Amazon); Ouye Xie (Amazon); Son Tran (Amazon); Benjamin Yao (Amazon); Douglas Gray (Amazon); Anuj Bindal (Amazon); Arnab Dhua (Amazon)</td></tr></tbody></table></figure> </div></div> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained"> <p class="has-text-align-center"><strong>Tuesday, August 27 16:30-18:30, Room 127-128<br>Theme: Recommendations for Social Networks<br>Session Chair: TBD</strong></p> <figure class="wp-block-table is-style-stripes"><table class="has-fixed-layout"><tbody><tr><td><strong>Future Impact Decomposition in Request-level Recommendations<strong></strong></strong></td></tr><tr><td>Xiaobei Wang (Peking University); Shuchang Liu (Kuaishou Technology); Xueliang Wang (Kuaishou Technology); Qingpeng Cai (Kuaishou Technology); Lantao Hu (Kuaishou Technology); Han Li (Kuaishou Technology); Peng Jiang (Kuaishou Technology); Kun Gai (Unaffiliated); Guangming Xie (Peking University)</td></tr><tr><td><strong>LiGNN: Graph Neural Networks at LinkedIn<strong></strong></strong></td></tr><tr><td>Fedor Borisyuk (LinkedIn); Shihai He (LinkedIn); Yunbo Ouyang (LinkedIn); Morteza Ramezani (LinkedIn); Peng Du (LinkedIn); Xiaochen Hou (LinkedIn); Chengming Jiang (LinkedIn); Nitin Pasumarthy (LinkedIn); Priya Bannur (LinkedIn); Birjodh Tiwana (LinkedIn); Ping Liu (LinkedIn); Siddharth Dangi (LinkedIn); Daqi Sun (LinkedIn); Zhoutao Pei (LinkedIn); Xiao Shi (LinkedIn); Sirou Zhu (LinkedIn); Qianqi Shen (LinkedIn); Kuang-Hsuan Lee (LinkedIn); David Stein (LinkedIn); Baolei Li (LinkedIn); Haichao Wei (LinkedIn); Amol Ghoting (LinkedIn); Souvik Ghosh (LinkedIn)</td></tr><tr><td><strong>GradCraft: Elevating Multi-task Recommendations through Holistic Gradient Crafting<strong></strong></strong></td></tr><tr><td>Yimeng Bai (University of Science and Technology of China); Yang Zhang (University of Science and Technology of China); Fuli Feng (University of Science and Technology of China, USTC Beijing Research Institute); Jing Lu (Kuaishou Technology); Xiaoxue Zang (Kuaishou Technology); Chenyi Lei (Kuaishou Technology); Yang Song (Kuaishou Technology)</td></tr><tr><td><strong>Achieving a Better Tradeoff in Multi-stage Recommender Systems through Personalization<strong></strong></strong></td></tr><tr><td>Ariel Evnine (Meta); Stratis Ioannidis (Northeastern University); Dimitris Kalimeris (Meta); Shankar Kalyanaraman (Meta); Weiwei Li (Meta); Israel Nir (Meta); Wei Sun (Meta); Udi Weinsberg (Meta)</td></tr><tr><td><strong>LiMAML: Personalization of Deep Recommender Models via Meta Learning<strong></strong></strong></td></tr><tr><td>Ruofan Wang (LinkedIn Corporation); Prakruthi Prabhakar (LinkedIn Corporation); Gaurav Srivastava (LinkedIn Corporation); Tianqi Wang (LinkedIn Corporation); Zeinab S. Jalali (LinkedIn Corporation); Varun Bharill (LinkedIn Corporation); Yunbo Ouyang (LinkedIn Corporation); Aastha Nigam (LinkedIn Corporation); Divya Venugopalan (LinkedIn Corporation); Aman Gupta (LinkedIn Corporation); Fedor Borisyuk (LinkedIn Corporation); Sathiya Keerthi (LinkedIn Corporation); Ajith Muralidharan (Aliveo AI Corp)</td></tr><tr><td><strong>Trinity: Syncretizing Multi-/Long-Tail/Long-Term Interests All in One<strong></strong></strong></td></tr><tr><td>Jing Yan (ByteDance Inc.); Liu Jiang (ByteDance Inc.); Jianfei Cui (ByteDance Inc.); Zhichen Zhao (ByteDance Inc.); Xingyan Bin (ByteDance Inc.); Feng Zhang (ByteDance Inc.); Zuotao Liu (ByteDance Inc.)</td></tr></tbody></table></figure> </div></div> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained"> <p class="has-text-align-center"><strong>Wednesday, August 28 11:00-13:00, Room 119<br>Theme: Marketing Applications<br>Session Chair: TBD</strong></p> <figure class="wp-block-table is-style-stripes"><table class="has-fixed-layout"><tbody><tr><td><strong>Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing<strong></strong></strong></td></tr><tr><td>Bowei He (City University of Hong Kong); Yunpeng Weng (FiT, Tencent); Xing Tang (FiT, Tencent); Ziqiang Cui (City University of Hong Kong); Zexu Sun (Renmin University of China); Liang Chen (FiT, Tencent); Xiuqiang He (FiT, Tencent); Chen Ma (City University of Hong Kong)</td></tr><tr><td><strong>SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning<strong></strong></strong></td></tr><tr><td>Kaidi Li (Huawei Inc); Tianmeng Yang (Peking University); Min Zhou (Huawei Inc); Jiahao Meng (Peking University); Shendi Wang (Huawei Inc); Yihui Wu (Huawei Inc); Boshuai Tan (ICBC Limited); Hu Song (ICBC Limited); Lujia Pan (Huawei Inc); Fan Yu (Huawei Inc); Zhenli Sheng (Huawei Inc); Yunhai Tong (Peking University)</td></tr><tr><td><strong>LASCA: A Large-Scale Stable Customer Segmentation Approach to Credit Risk Assessment<strong></strong></strong></td></tr><tr><td>Yongfeng Gu (Ant Group); Yupeng Wu (School of Computer Science and Technology, East China Normal University); Huakang Lu (School of Computer Science and Technology, East China Normal University); Xingyu Lu (Ant Group); Hong Qian (School of Computer Science and Technology, East China Normal University); Jun Zhou (Ant Group); Aimin Zhou (School of Computer Science and Technology, East China Normal University)</td></tr><tr><td><strong>Temporal Uplift Modeling for Online Marketing<strong></strong></strong></td></tr><tr><td>Xin Zhang (Wuhan University); Kai Wang (NetEase Fuxi AI Lab); Zengmao Wang (Wuhan University); Bo Du (Wuhan University); Shiwei Zhao (NetEase Fuxi AI Lab); Runze Wu (NetEase Fuxi AI Lab); Xudong Shen (NetEase Fuxi AI Lab); Tangjie Lv (NetEase Fuxi AI Lab); Changjie Fan (Netease Fuxi AI Lab)</td></tr><tr><td><strong>Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs<strong></strong></strong></td></tr><tr><td>Junjie Wang (Zhejiang University, Ant Group); Dan Yang (Ant Group); Binbin Hu (Ant Group); Yue Shen (Ant Group); Wen Zhang (Zhejiang University); Jinjie Gu (Ant Group)</td></tr><tr><td><strong>Neural Optimization with Adaptive Heuristics for Intelligent Marketing System<strong></strong></strong></td></tr><tr><td>Changshuai Wei (LinkedIn Corporation); Benjamin Zelditch (LinkedIn Corporation); Joyce Chen (LinkedIn Corporation); Andre Assuncao Silva T Ribeiro (LinkedIn Corporation); Jingyi Kenneth Tay (LinkedIn Corporation); Borja Ocejo Elizondo (LinkedIn Corporation); Sathiya Keerthi Selvaraj (LinkedIn Corporation); Aman Gupta (LinkedIn Corporation); Licurgo Benemann De Almeida (LinkedIn Corporation)</td></tr><tr><td><strong>Enhancing Personalized Headline Generation via Offline Goal-conditioned Reinforcement Learning with Large Language Models<strong></strong></strong></td></tr><tr><td>Xiaoyu Tan (INF Technology (Shanghai) Co., Ltd.); Leijun Cheng (School of Electronic and Electrical Engineering, Shanghai University of Engineering Science); Xihe Qiu (School of Electronic and Electrical Engineering, Shanghai University of Engineering Science); Shaojie Shi (School of Electronic and Electrical Engineering, Shanghai University of Engineering Science); Yuan Cheng (AI3 Institute, Fudan University); Wei Chu (INF Technology (Shanghai) Co., Ltd.); Yinghui Xu (AI3 Institute, Fudan University); Yuan Qi (AI3 Institute, Fudan University)</td></tr></tbody></table></figure> </div></div> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained"> <p class="has-text-align-center"><strong>Wednesday, August 28 11:00-13:00, Room 124-125<br>Theme: LLM Applications<br>Session Chair: TBD</strong></p> <figure class="wp-block-table is-style-stripes"><table class="has-fixed-layout"><tbody><tr><td><strong>OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning<strong></strong></strong></td></tr><tr><td>Rui Ye (Shanghai Jiao Tong University); Wenhao Wang (Zhejiang University); Jingyi Chai (Shanghai Jiao Tong University); Dihan Li (University of Southern California); Zexi Li (Zhejiang University); Yinda Xu (Shanghai Jiao Tong University); Yaxin Du (Shanghai Jiao Tong University); Yanfeng Wang (Shanghai Jiao Tong University, Shanghai AI Laboratory); Siheng Chen (Shanghai Jiao Tong University, Shanghai AI Laboratory)</td></tr><tr><td><strong>Lookahead: An Inference Acceleration Framework for Large Language Model with Lossless Generation Accuracy<strong></strong></strong></td></tr><tr><td>Yao Zhao (Ant Group); Zhitian Xie (Alibaba Group); Chen Liang (Hong Kong University of Science and Technology); Chenyi Zhuang (Ant Group); Jinjie Gu (Nanjing University)</td></tr><tr><td><strong>AutoWebGLM: A Large Language Model-based Web Navigating Agent<strong></strong></strong></td></tr><tr><td>Hanyu Lai (Tsinghua University); Xiao Liu (Tsinghua University, Zhipu AI); Iat Long Iong (Tsinghua University); Shuntian Yao (Beijing University of Posts and Telecommunications); Yuxuan Chen (Tsinghua University); Pengbo Shen (University of Chinese Academy of Sciences); Hao Yu (Tsinghua University); Hanchen Zhang (Tsinghua University); Xiaohan Zhang (Zhipu AI); Yuxiao Dong (Tsinghua University); Jie Tang (Tsinghua University)</td></tr><tr><td><strong>Enhancing E-commerce Spelling Correction with Fine-Tuned Transformer Models<strong></strong></strong></td></tr><tr><td>Arnab Dutta (eBay GmbH); Gleb Polushin (eBay GmbH); Xiaoshuang Zhang (eBay Inc.); Daniel Stein (eBay GmbH)</td></tr><tr><td><strong>Lumos: Empowering Multimodal LLMs with Scene Text Recognition<strong></strong></strong></td></tr><tr><td>Ashish Shenoy (Reality Labs, Meta); Yichao Lu (Reality Labs, Meta); Srihari Jayakumar (Reality Labs, Meta); Debojeet Chatterjee (Reality Labs, Meta); Mohsen Moslehpour (Reality Labs, Meta); Pierce Chuang (Reality Labs, Meta); Abhay Harpale (Reality Labs, Meta); Vikas Bhardwaj (Reality Labs, Meta); Di Xu (Reality Labs, Meta); Shicong Zhao (Reality Labs, Meta); Longfang Zhao (Reality Labs, Meta); Ankit Ramchandani (Generative AI, Meta); Xin Dong (Reality Labs, Meta); Anuj Kumar (Reality Labs, Meta)</td></tr><tr><td><strong>Intelligent Agents with LLM-based Process Automation<strong></strong></strong></td></tr><tr><td>Yanchu Guan (Ant Group); Dong Wang (Ant Group); Zhixuan Chu (Zhejiang University); Shiyu Wang (Ant Group); Feiyue Ni (Renmin University of China); Ruihua Song (Renmin University of China); Chenyi Zhuang (Ant Group)</td></tr><tr><td><strong>Large Language Model with Curriculum Reasoning for Visual Concept Recognition<strong></strong></strong></td></tr><tr><td>Yipeng Zhang (DCST, Tsinghua University); Xin Wang (DCST, BNRist, Tsinghua University); Hong Chen (DCST, Tsinghua University); Jiapei Fan (Alibaba Group); Weigao Wen (Alibaba Group); Hui Xue (Alibaba Group); Hong Mei (MoE Lab, Peking University); Wenwu Zhu (DCST, BNRist, Tsinghua University)</td></tr></tbody></table></figure> </div></div> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained"> <p class="has-text-align-center"><strong>Wednesday, August 28 11:00-13:00, Room 127-128<br>Theme: E-Commerce Applications<br>Session Chair: TBD</strong></p> <figure class="wp-block-table is-style-stripes"><table class="has-fixed-layout"><tbody><tr><td><strong>Residual Multi-Task Learner for Applied Ranking<strong></strong></strong></td></tr><tr><td>Cong Fu (Shopee Pte. Ltd.); Kun Wang (Shopee Pte. Ltd.); Jiahua Wu (Shopee Pte. Ltd.); Yizhou Chen (Shopee Pte. Ltd.); Guangda Huzhang (Shopee Pte. Ltd.); Yabo Ni (Nanyang Technological University); Anxiang Zeng (SCSE, National Technological University); Zhiming Zhou (ECONCS, Shanghai University of Finance and Economics)</td></tr><tr><td><strong>VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection<strong></strong></strong></td></tr><tr><td>Fei Xiao (National University of Singapore, Shopee Singapore); Shaofeng Cai (National University of Singapore); Gang Chen (Zhejiang University); H. V. Jagadish (University of Michigan); Beng Chin Ooi (National University of Singapore); Meihui Zhang (Beijing Institute of Technology)</td></tr><tr><td><strong>Tackling Concept Shift in Text Classification using Entailment-style Modeling<strong></strong></strong></td></tr><tr><td>Sumegh Roychowdhury (Amazon); Karan Gupta (Amazon); Siva Rajesh Kasa (Amazon); Prasanna Srinivasa Murthy (Amazon)</td></tr><tr><td><strong>Multi-task Conditional Attention Network for Conversion Prediction in Logistics Advertising<strong></strong></strong></td></tr><tr><td>Baoshen Guo (Southeast University, JD Logistics); Xining Song (JD Logistics); Shuai Wang (Southeast University); Wei Gong (University of Science and Technology of China); Tian He (JD Logistics); Xue Liu (McGill University)</td></tr><tr><td><strong>Multi-objective Learning to Rank by Model Distillation<strong></strong></strong></td></tr><tr><td>Jie Tang (Airbnb); Huiji Gao (Airbnb); Liwei He (Airbnb); Sanjeev Katariya (Airbnb)</td></tr><tr><td><strong>Harvesting Efficient On-Demand Order Pooling from Skilled Couriers: Enhancing Graph Representation Learning for Refining Real-time Many-to-One Assignments<strong></strong></strong></td></tr><tr><td>Yile Liang (Meituan); Jiuxia Zhao (Meituan); Donghui Li (Meituan); Jie Feng (Tsinghua University); Chen Zhang (Tsinghua University); Xuetao Ding (Meituan); Jinghua Hao (Meituan); Renqing He (Meituan)</td></tr></tbody></table></figure> </div></div> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained"> <p class="has-text-align-center"><strong>Wednesday, August 28 14:00-16:00, Room 119<br>Theme: Scientific Applications<br>Session Chair: TBD</strong></p> <figure class="wp-block-table is-style-stripes"><table class="has-fixed-layout"><tbody><tr><td><strong>FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecasting<strong></strong></strong></td></tr><tr><td>Ziqing Ma (DAMO Academy, Alibaba Group); Wenwei Wang (DAMO Academy, Alibaba Group); Tian Zhou (DAMO Academy, Alibaba Group); Chao Chen (DAMO Academy, Central South University); Bingqing Peng (DAMO Academy, Alibaba Group); Liang Sun (DAMO Academy, Alibaba Group); Rong Jin (DAMO Academy, Alibaba Group)</td></tr><tr><td><strong>An Open and Large-Scale Dataset for Multi-Modal Climate Change-aware Crop Yield Predictions<strong></strong></strong></td></tr><tr><td>Fudong Lin (University of Delaware); Kaleb Guillot (University of Louisiana at Lafeyette); Summer Crawford (University of Louisiana at Lafeyette); Yihe Zhang (University of Louisiana at Lafeyette); Xu Yuan (University of Delaware); Nian-Feng Tzeng (University of Louisiana at Lafeyette)</td></tr><tr><td><strong>CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning<strong></strong></strong></td></tr><tr><td>Ulrik Friis-Jensen (Department of Chemistry, University of Copenhagen, Department of Computer Science, University of Copenhagen); Frederik L. Johansen (Department of Computer Science, University of Copenhagen, Department of Chemistry, University of Copenhagen); Andy S. Anker (Dept. of Energy Conversion & Storage, Technical University of Denmark, Department of Chemistry, University of Oxford); Erik B. Dam (Department of Computer Science, University of Copenhagen); Kirsten M. 脴. Jensen (Department of Chemistry, University of Copenhagen); Raghavendra Selvan (Department of Computer Science, University of Copenhagen)</td></tr><tr><td><strong>Decomposed Attention Segment Recurrent Neural Network for Orbit Prediction<strong></strong></strong></td></tr><tr><td>SeungWon Jeong (Sejong University); Soyeon Woo (Sejong University); Daewon Chung (National Satellite Operation Center Korea Aerospace Research Institute); Simon S. Woo (Sungkyunkwan University); Youjin Shin (The Catholic University of Korea)</td></tr><tr><td><strong>Hyper-Local Deformable Transformers for Text Spotting on Historical Maps<strong></strong></strong></td></tr><tr><td>Yijun Lin (University of Minnesota, Twin Cities); Yao-Yi Chiang (University of Minnesota, Twin Cities)</td></tr><tr><td><strong>Nested Fusion: A Method for Learning High Resolution Latent Structure of Multi-Scale Measurement Data on Mars<strong></strong></strong></td></tr><tr><td>Austin P. Wright (Georgia Tech); Scott Davidoff (California Institute of Technology, Jet Propulsion Laboratory); Duen Horng Chau (Georgia Tech)</td></tr></tbody></table></figure> </div></div> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained"> <p class="has-text-align-center"><strong>Wednesday, August 28 14:00-16:00, Room 124-125<br>Theme: Deep Learning in Healthcare<br>Session Chair: TBD</strong></p> <figure class="wp-block-table is-style-stripes"><table class="has-fixed-layout"><tbody><tr><td><strong>NudgeRank: Digital Algorithmic Nudging for Personalized Health<strong></strong></strong></td></tr><tr><td>Jodi Chiam (CueZen, Inc.); Aloysius Lim (CueZen, Inc.); Ankur Teredesai (CueZen, Inc., University of Washington)</td></tr><tr><td><strong>Towards Automatic Evaluation for LLMs’ Clinical Capabilities: Metric, Data, and Algorithm<strong></strong></strong></td></tr><tr><td>Lei Liu (The Chinese University of Hong Kong, Shenzhen); Xiaoyan Yang (Ant Group); Fangzhou Li (Renji Hospital); Chenfei Chi (Renji Hospital); Yue Shen (Ant Group); Shiwei Lyu (Ant Group); Ming Zhang (Renji Hospital); Xiaowei Ma (Renji Hospital); Xiangguo Lv (Renji Hospital); Liya Ma (Renji Hospital); Zhiqiang Zhang (Ant Group); Wei Xue (Renji Hospital); Yiran Huang (Renji Hospital); Jinjie Gu (Ant Group)</td></tr><tr><td><strong>RareBench: Can LLMs Serve as Rare Diseases Specialists?<strong></strong></strong></td></tr><tr><td>Xuanzhong Chen (Department of Computer Science and Technology & Institute of Artificial Intelligence & BNRist, Tsinghua University); Xiaohao Mao (Department of Computer Science and Technology & Institute of Artificial Intelligence & BNRist, Tsinghua University); Qihan Guo (Department of Computer Science and Technology & Institute of Artificial Intelligence & BNRist, Tsinghua University); Lun Wang (Department of Internal Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College); Shuyang Zhang (Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College); Ting Chen (Department of Computer Science and Technology & Institute of Artificial Intelligence & BNRist, Tsinghua University)</td></tr><tr><td><strong>Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns<strong></strong></strong></td></tr><tr><td>Zheyuan Zhang (University of Notre Dame); Zehong Wang (University of Notre Dame); Shifu Hou (University of Notre Dame); Evan Hall (University of Notre Dame); Landon Bachman (University of Notre Dame); Jasmine White (Purdue University); Vincent Galassi (University of Notre Dame); Nitesh V Chawla (University of Notre Dame); Chuxu Zhang (Brandeis University); Yanfang Ye (University of Notre Dame)</td></tr><tr><td><strong>Chromosomal Structural Abnormality Diagnosis by Homologous Similarity<strong></strong></strong></td></tr><tr><td>Juren Li (Zhejiang University); Fanzhe Fu (Zhejiang University); Ran Wei (Hangzhou Diagens Biotechnology Co., Ltd.); Yifei Sun (Zhejiang University); Zeyu Lai (Zhejiang University); Ning Song (Hangzhou Diagens Biotechnology Co., Ltd.); Xin Chen (Zhejiang University); Yang Yang (Zhejiang University)</td></tr><tr><td><strong>Personalised Drug Identifier for Cancer Treatment with Transformers using Auxiliary Information<strong></strong></strong></td></tr><tr><td>Aishwarya Jayagopal (National University of Singapore); Hansheng Xue (National University of Singapore); Ziyang He (National University of Singapore); Robert J. Walsh (National University Cancer Institute); Krishna Kumar Hariprasannan (National University of Singapore); David Shao Peng Tan (Cancer Science Institute of Singapore); Tuan Zea Tan (Cancer Science Institute of Singapore); Jason J. Pitt (Cancer Science Institute of Singapore); Anand D. Jeyasekharan (Cancer Science Institute of Singapore); Vaibhav Rajan (National University of Singapore)</td></tr></tbody></table></figure> </div></div> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained"> <p class="has-text-align-center"><strong>Wednesday, August 28 14:00-16:00, Room 127-128<br>Theme: Controlled Experimentation<br>Session Chair: TBD</strong></p> <figure class="wp-block-table is-style-stripes"><table class="has-fixed-layout"><tbody><tr><td><strong>Learning Metrics that Maximise Power for Accelerated A/B-Tests<strong></strong></strong></td></tr><tr><td>Olivier Jeunen (ShareChat); Aleksei Ustimenko (ShareChat)</td></tr><tr><td><strong>STATE: A Robust ATE Estimator of Heavy-Tailed Metrics for Variance Reduction in Online Controlled Experiments<strong></strong></strong></td></tr><tr><td>Hao Zhou (State Key Laboratory for Novel Software Technology, Nanjing University, Meituan); Kun Sun (Meituan); Shaoming Li (Meituan); Yangfeng Fan (Meituan); Guibin Jiang (Meituan); Jiaqi Zheng (State Key Laboratory for Novel Software Technology, Nanjing University); Tao Li (Meituan)</td></tr><tr><td><strong>Choosing a Proxy Metric from Past Experiments<strong></strong></strong></td></tr><tr><td>Nilesh Tripuraneni (Google DeepMind); Lee Richardson (Google); Alexander D’Amour (Google DeepMind); Jacopo Soriano (Google); Steve Yadlowsky (Google DeepMind)</td></tr><tr><td><strong>Metric Decomposition in A/B Tests<strong></strong></strong></td></tr><tr><td>Alex Deng (Airbnb); Luke Hagar (University of Waterloo); Nathaniel T. Stevens (University of Waterloo); Tatiana Xifara (Airbnb); Amit Gandhi (University of Pennsylvania)</td></tr><tr><td><strong>Improving Ego-Cluster for Network Effect Measurement<strong></strong></strong></td></tr><tr><td>Wentao Su (LinkedIn Corporation); Weitao Duan (LinkedIn Corporation)</td></tr><tr><td><strong>Business Policy Experiments using Fractional Factorial Designs: Consumer Retention on DoorDash<strong></strong></strong></td></tr><tr><td>Yixin Tang (DoorDash, Inc.); Yicong Lin (DoorDash, Inc.); Navdeep S. Sahni (Stanford GSB)</td></tr><tr><td><strong>False Positives in A/B Tests<strong></strong></strong></td></tr><tr><td>Ron Kohavi (Kohavi); Nanyu Chen (Expedia Group)</td></tr></tbody></table></figure> </div></div> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained"> <p class="has-text-align-center"><strong>Wednesday, August 28 16:30-18:30, Room 119<br>Theme: Median and Social Networks<br>Session Chair: TBD</strong></p> <figure class="wp-block-table is-style-stripes"><table class="has-fixed-layout"><tbody><tr><td><strong>Television Discourse Decoded: Comprehensive Multimodal Analytics at Scale<strong></strong></strong></td></tr><tr><td>Anmol Agarwal (International Institute of Information Technology); Pratyush Priyadarshi (International Institute of Information Technology); Shiven Sinha (International Institute of Information Technology); Shrey Gupta (International Institute of Information Technology); Hitkul Jangra (Indraprastha Institute of Information Technology); Ponnurangam Kumaraguru (International Institute of Information Technology); Kiran Garimella (Rutgers University)</td></tr><tr><td><strong>Leveraging Exposure Networks for Detecting Fake News Sources<strong></strong></strong></td></tr><tr><td>Maor Reuben (Software and Information Systems Engineering, Ben-Gurion University of the Negev); Lisa Friedland (Independent researcher); Rami Puzis (Software and Information Systems Engineering, Ben-Gurion University of the Negev); Nir Grinberg (Software and Information Systems Engineering, Ben-Gurion University of the Negev)</td></tr><tr><td><strong>LiRank: Industrial Large Scale Ranking Models at LinkedIn<strong></strong></strong></td></tr><tr><td>Fedor Borisyuk (LinkedIn); Mingzhou Zhou (LinkedIn); Qingquan Song (LinkedIn); Siyu Zhu (LinkedIn); Birjodh Tiwana (LinkedIn); Ganesh Parameswaran (LinkedIn); Siddharth Dangi (LinkedIn); Lars Hertel (LinkedIn); Qiang Charles Xiao (LinkedIn); Xiaochen Hou (LinkedIn); Yunbo Ouyang (LinkedIn); Aman Gupta (LinkedIn); Sheallika Singh (LinkedIn); Dan Liu (LinkedIn); Hailing Cheng (LinkedIn); Lei Le (LinkedIn); Jonathan Hung (LinkedIn); Sathiya Keerthi (LinkedIn); Ruoyan Wang (LinkedIn); Fengyu Zhang (LinkedIn); Mohit Kothari (LinkedIn); Chen Zhu (LinkedIn); Daqi Sun (LinkedIn); Yun Dai (LinkedIn); Xun Luan (LinkedIn); Sirou Zhu (LinkedIn); Zhiwei Wang (LinkedIn); Neil Daftary (LinkedIn); Qianqi Shen (LinkedIn); Chengming Jiang (LinkedIn); Haichao Wei (LinkedIn); Maneesh Varshney (LinkedIn); Amol Ghoting (LinkedIn); Souvik Ghosh (LinkedIn)</td></tr><tr><td><strong>DAG: Deep Adaptive and Generative $K$-Free Community Detection on Attributed Graphs<strong></strong></strong></td></tr><tr><td>Chang Liu (Shanghai Jiaotong University); Yuwen Yang (Shanghai Jiao Tong University); Yue Ding (Shanghai Jiao Tong University); Hongtao Lu (Shanghai Jiao Tong University); Wenqing Lin (Tencent); Ziming Wu (Tencent); Wendong Bi (Tencent)</td></tr><tr><td><strong>Source Localization for Cross Network Information Diffusion<strong></strong></strong></td></tr><tr><td>Chen Ling (Emory University); Tanmoy Chowdhury (George Mason University); Jie Ji (Emory University); Sirui Li (Emory University); Andreas Z眉fle (Emory University); Liang Zhao (Emory University)</td></tr></tbody></table></figure> </div></div> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained"> <p class="has-text-align-center"><strong>Wednesday, August 28 16:30-18:30, Room 124-125<br>Theme: Healthcare Applications<br>Session Chair: TBD</strong></p> <figure class="wp-block-table is-style-stripes"><table class="has-fixed-layout"><tbody><tr><td><strong>SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing<strong></strong></strong></td></tr><tr><td>Changchang Yin (The Ohio State University);聽Pin-Yu Chen (IBM Research); Bingsheng Yao (Northeastern University); Dakuo Wang (Northeastern University); Jeffrey Caterino (The Ohio State University Wexner Medical Center);聽Ping Zhang (The Ohio State University)</td></tr><tr><td><strong>Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization<strong></strong></strong></td></tr><tr><td>Bao Hoang (Michigan State University); Yijiang Pang (Michigan State University); Siqi Liang (Michigan State University); Liang Zhan (University of Pittsburgh); Paul M. Thompson (University of Southern California); Jiayu Zhou (Michigan State University)</td></tr><tr><td><strong>TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data<strong></strong></strong></td></tr><tr><td>Ziyang Zhang (Emory University); Hejie Cui (Emory University); Ran Xu (Emory University); Yuzhang Xie (Emory University); Joyce C. Ho (Emory University); Carl Yang (Emory University)</td></tr><tr><td><strong>EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs<strong></strong></strong></td></tr><tr><td>Navid Mohammadi Foumani (Monash University); Geoffrey Mackellar (Macquarie University, Emotiv Research); Soheila Ghane (Emotiv Research); Saad Irtza (Emotiv Research); Nam Nguyen (Emotiv Research); Mahsa Salehi (Monash University)</td></tr><tr><td><strong>DUE: Dynamic Uncertainty-Aware Explanation Supervision via 3D Imputation<strong></strong></strong></td></tr><tr><td>Qilong Zhao (Emory University); Yifei Zhang (Emory University); Mengdan Zhu (Emory University); Siyi Gu (Stanford University); Yuyang Gao (The Home Depot); Xiaofeng Yang (Emory University); Liang Zhao (Emory University)</td></tr></tbody></table></figure> </div></div> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained"> <p class="has-text-align-center"><strong>Wednesday, August 28 16:30-18:30, Room 127-128<br>Theme: Causal Modeling<br>Session Chair: TBD</strong></p> <figure class="wp-block-table is-style-stripes"><table class="has-fixed-layout"><tbody><tr><td><strong>Decision Focused Causal Learning for Direct Counterfactual Marketing Optimization<strong></strong></strong></td></tr><tr><td>Hao Zhou (State Key Laboratory for Novel Software Technology, Nanjing University, Meituan); Rongxiao Huang (State Key Laboratory for Novel Software Technology, Nanjing University); Shaoming Li (Meituan); Guibin Jiang (Meituan); Jiaqi Zheng (State Key Laboratory for Novel Software Technology, Nanjing University); Bing Cheng (Meituan); Wei Lin (Meituan)</td></tr><tr><td><strong>Microservice Root Cause Analysis With Limited Observability Through Intervention Recognition in the Latent Space<strong></strong></strong></td></tr><tr><td>Zhe Xie (BNRist, Tsinghua University); Shenglin Zhang (Nankai University); Yitong Geng (eBay Inc.); Yao Zhang (eBay Inc.); Minghua Ma (Microsoft); Xiaohui Nie (Computer Network Information Center, Chinese Academy of Sciences); Zhenhe Yao (BNRist, Tsinghua University); Longlong Xu (BNRist, Tsinghua University); Yongqian Sun (BNRist, Nankai University); Wentao Li (eBay Inc.); Dan Pei (BNRist, Tsinghua University)</td></tr><tr><td><strong>Causal Machine Learning for Cost-Effective Allocation of Development Aid<strong></strong></strong></td></tr><tr><td>Milan Kuzmanovic (ETH Zurich); Dennis Frauen (Munich Center for Machine Learning & LMU Munich); Tobias Hatt (ETH Zurich); Stefan Feuerriegel (Munich Center for Machine Learning & LMU Munich)</td></tr><tr><td><strong>Valuing an Engagement Surface using a Large Scale Dynamic Causal Model<strong></strong></strong></td></tr><tr><td>Abhimanyu Mukerji (Amazon); Sushant More (Amazon); Ashwin Viswanathan Kannan (Amazon); Lakshmi Ravi (Amazon); Hua Chen (Amazon); Naman Kohli (Amazon); Chris Khawand (Amazon); Dinesh Mandalapu (Amazon)</td></tr></tbody></table></figure> </div></div> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained"> <p class="has-text-align-center"><strong>Thursday, August 29 11:00-13:00, Room 119<br>Theme: Urban Mobility<br>Session Chair: TBD</strong></p> <figure class="wp-block-table is-style-stripes"><table class="has-fixed-layout"><tbody><tr><td><strong>Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction<strong></strong></strong></td></tr><tr><td>Wenzhao Jiang (The Hong Kong University of Science and Technology (Guangzhou)); Jindong Han (The Hong Kong University of Science and Technology); Hao Liu (The Hong Kong University of Science and Technology (Guangzhou), The Hong Kong University of Science and Technology); Tao Tao (Didichuxing Co. Ltd); Naiqiang Tan (Didichuxing Co. Ltd); Hui Xiong (The Hong Kong University of Science and Technology (Guangzhou), The Hong Kong University of Science and Technology)</td></tr><tr><td><strong>TrajRecovery: An Efficient Vehicle Trajectory Recovery Framework based on Urban-Scale Traffic Camera Records<strong></strong></strong></td></tr><tr><td>Dongen Wu (Zhejiang University); Ziquan Fang (Zhejiang University); Qichen Sun (Zhejiang University); Lu Chen (Zhejiang University); Haiyang Hu (Zhejiang University); Fei Wang (Zhejiang University); Yunjun Gao (Zhejiang University)</td></tr><tr><td><strong>DuMapNet: An End-to-End Vectorization System for City-Scale Lane-Level Map Generation<strong></strong></strong></td></tr><tr><td>Deguo Xia (Tsinghua University, Baidu Inc.); Weiming Zhang (Baidu Inc.); Xiyan Liu (Baidu Inc.); Wei Zhang (Baidu Inc.); Chenting Gong (Baidu Inc.); Jizhou Huang (Baidu Inc.); Mengmeng Yang (Tsinghua University); Diange Yang (Tsinghua University)</td></tr><tr><td><strong>An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management Systems<strong></strong></strong></td></tr><tr><td>Taeyoung Yun (KAIST); Kanghoon Lee (KAIST); Sujin Yun (KAIST); Ilmyung Kim (Korea Telecom); Won-Woo Jung (Korea Telecom); Min-Cheol Kwon (Korea Telecom); Kyujin Choi (Korea Telecom); Yoohyeon Lee (Korea Telecom); Jinkyoo Park (KAIST)</td></tr><tr><td><strong>FedGTP: Exploiting Inter-Client Spatial Dependency in Federated Graph-based Traffic Prediction<strong></strong></strong></td></tr><tr><td>Linghua Yang (SKLCCSE Lab, Beihang University); Wantong Chen (SKLCCSE Lab, Beihang University); Xiaoxi He (Faculty of Science and Technology, University of Macau); Shuyue Wei (SKLCCSE Lab, Beihang University); Yi Xu (SKLCCSE Lab, Institute of Artificial Intelligence, Beihang University); Zimu Zhou (School of Data Science, City University of Hong Kong); Yongxin Tong (SKLCCSE Lab, Beihang University)</td></tr><tr><td><strong>PEMBOT: Pareto-Ensembled Multi-task Boosted Trees<strong></strong></strong></td></tr><tr><td>Gokul Swamy (International Machine Learning, Amazon); Anoop Saladi (International Machine Learning, Amazon); Arunita Das (International Machine Learning, Amazon); Shobhit Niranjan (International Machine Learning, Amazon)</td></tr></tbody></table></figure> </div></div> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained"> <p class="has-text-align-center"><strong>Thursday, August 29 11:00-13:00, Room 124-125<br>Theme: Fintech<br>Session Chair: TBD</strong></p> <figure class="wp-block-table is-style-stripes"><table class="has-fixed-layout"><tbody><tr><td><strong>CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification<strong></strong></strong></td></tr><tr><td>Lele Cao (Motherbrain, EQT Group); Vilhelm von Ehrenheim (Motherbrain, EQT Group, QA.tech); Mark Granroth-Wilding (Motherbrain, EQT Group, Silo AI); Richard Anselmo Stahl (Motherbrain, EQT Group); Andrew McCornack (Motherbrain, EQT Group); Armin Catovic (Motherbrain, EQT Group); Dhiana Deva Cavalcanti Rocha (Motherbrain, EQT Group)</td></tr><tr><td><strong>On Finding Bi-objective Pareto-optimal Fraud Prevention Rule Sets for Fintech Applications<strong></strong></strong></td></tr><tr><td>Chengyao Wen (Ant Group); Yin Lou (Ant Group)</td></tr><tr><td><strong>D贸lares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English<strong></strong></strong></td></tr><tr><td>Xiao Zhang (The Fin AI); Ruoyu Xiang (The Fin AI); Chenhan Yuan (The University of Manchester); Duanyu Feng (Sichuan University); Weiguang Han (Wuhan University); Alejandro Lopez-Lira (University of Florida); Xiao-Yang Liu (Columbia University); Meikang Qiu (Augusta University); Sophia Ananiadou (Department of Computer Science, The University of Manchester, Artificial Intelligence Research Centre); Min Peng (Wuhan University); Jimin Huang (The Fin AI); Qianqian Xie (The Fin AI)</td></tr><tr><td><strong>Learning to Bid the Interest Rate in Online Unsecured Personal Loans<strong></strong></strong></td></tr><tr><td>Dong Jun Jee (PFC Technologies); Seung Jung Jin (PFC Technologies); Ji Hoon Yoo (PFC Technologies); Byunggyu Ahn (PFC Technologies)</td></tr><tr><td><strong>COMET: NFT Price Prediction with Wallet Profiling<strong></strong></strong></td></tr><tr><td>Tianfu Wang (School of Computer Science and Technology, University of Science and Technology of China); Liwei Deng (Microsoft Inc.); Chao Wang (School of Artificial Intelligence and Data Science, University of Science and Technology of China); Jianxun Lian (Microsoft Research Asia); Yue Yan (Microsoft Inc.); Nicholas Jing Yuan (Microsoft Inc.); Qi Zhang (Microsoft Inc.); Hui Xiong (Thrust of Artificial Intelligence, The Hong Kong University of Science and Technology (Guangzhou), Department of Computer Science and Engineering, The Hong Kong University of Science and Technology)</td></tr><tr><td><strong>Know, Grow, Protect: Using ML for Asset Protection by preventing Overdraft Fees<strong></strong></strong></td></tr><tr><td>Avishek Kumar (Intuit CreditKarma); Tyson Silver (Lightcast)</td></tr><tr><td><strong>FNSPID: A Comprehensive Financial News Dataset in Time Series<strong></strong></strong></td></tr><tr><td>Zihan Dong (North Carolina State University); Xinyu Fan (SiChuan University); Zhiyuan Peng (North Carolina State University)</td></tr></tbody></table></figure> </div></div> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained"> <p class="has-text-align-center"><strong>Thursday, August 29 11:00-13:00, Room 127-128<br>Theme: Recommendations for E-Commerce<br>Session Chair: TBD</strong></p> <figure class="wp-block-table is-style-stripes"><table class="has-fixed-layout"><tbody><tr><td><strong>Contextual Distillation Model for Diversified Recommendation<strong></strong></strong></td></tr><tr><td>Fan Li (University of Science and Technology of China); Xu Si (Tsinghua University); Shisong Tang (Kuaishou Inc., Tsinghua University); Dingmin Wang (University of Oxford); Kunyan Han (Kuaishou Inc.); Bing Han (Kuaishou Inc.); Guorui Zhou (Kuaishou Inc.); Yang Song (Kuaishou Inc.); Hechang Chen (Jilin University)</td></tr><tr><td><strong>Modeling User Retention through Generative Flow Networks<strong></strong></strong></td></tr><tr><td>Ziru Liu (City University of Hong Kong); Shuchang Liu (Kuaishou Technology); Bin Yang (Kuaishou Technology); Zhenghai Xue (Nanyang Technological University); Qingpeng Cai (Kuaishou Technology); Xiangyu Zhao (City University of Hong Kong); Zijian Zhang (City University of Hong Kong); Lantao Hu (Kuaishou Technology); Han Li (Kuaishou Technology); Peng Jiang (Kuaishou Technology)</td></tr><tr><td><strong>Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks<strong></strong></strong></td></tr><tr><td>Yijie Zhang (Jinan University); Yuanchen Bei (Zhejiang University); Hao Chen (The Hong Kong Polytechnic University); Qijie Shen (Alibaba Group); Zheng Yuan (The Hong Kong Polytechnic University); Huan Gong (National University of Defense Technology); Senzhang Wang (Central South University); Feiran Huang (Jinan University); Xiao Huang (The Hong Kong Polytechnic University)</td></tr><tr><td><strong>DDCDR: A Disentangle-based Distillation Framework for Cross-Domain Recommendation<strong></strong></strong></td></tr><tr><td>Zhicheng An (Ant Group); Zhexu Gu (Ant Group); Li Yu (Ant Group); Ke Tu (Ant Group); Zhengwei Wu (Ant Group); Binbin Hu (Ant Group); Zhiqiang Zhang (Ant Group); Lihong Gu (Ant Group); Jinjie Gu (Ant Group)</td></tr><tr><td><strong>Non-autoregressive Generative Models for Reranking Recommendation<strong></strong></strong></td></tr><tr><td>Yuxin Ren (Kuaishou Technology); Qiya Yang (Peking University); Yichun Wu (Tsinghua University); Wei Xu (Kuaishou Technology); Yalong Wang (Kuaishou Technology); Zhiqiang Zhang (Kuaishou Technology)</td></tr><tr><td><strong>Multi-Task Neural Linear Bandit for Exploration in Recommender Systems<strong></strong></strong></td></tr><tr><td>Yi Su (Google Deepmind); Haokai Lu (Google Deepmind); Yuening Li (Google); Liang Liu (Google); Shuchao Bi (Google); Ed H. Chi (Google Deepmind); Minmin Chen (Google Deepmind)</td></tr><tr><td><strong>Mitigating Pooling Bias in E-commerce Search via False Negative Estimation<strong></strong></strong></td></tr><tr><td>Xiaochen Wang (Pennsylvania State University); Xiao Xiao (Instacart); Ruhan Zhang (Instacart); Xuan Zhang (Instacart); Taesik Na (Instacart); Tejaswi Tenneti (Instacart); Haixun Wang (Instacart); Fenglong Ma (Pennsylvania State University)</td></tr></tbody></table></figure> </div></div> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained"> <p class="has-text-align-center"><strong>Thursday, August 29 14:00-16:00, Room 119<br>Theme: Intelligent Resource Management<br>Session Chair: TBD</strong></p> <figure class="wp-block-table is-style-stripes"><table class="has-fixed-layout"><tbody><tr><td><strong>Integrating System State into Spatio Temporal Graph Neural Network for Microservice Workload Prediction<strong></strong></strong></td></tr><tr><td>Yang Luo (Shanghai Jiao Tong University); Mohan Gao (Shanghai Jiao Tong University); Zhemeng Yu (Shanghai Jiao Tong University); Haoyuan Ge (Ant Group); Xiaofeng Gao (Shanghai Jiao Tong University); Tengwei Cai (Ant Group); Guihai Chen (Shanghai Jiao Tong University)</td></tr><tr><td><strong>BacktrackSTL: Ultra-Fast Online Seasonal-Trend Decomposition with Backtrack Technique<strong></strong></strong></td></tr><tr><td>Haoyu Wang (Alibaba Group); Hongke Guo (Alibaba Group); Zhaoliang Zhu (Alibaba Group); You Zhang (Alibaba Group); Yu Zhou (Alibaba Group); Xudong Zheng (Alibaba Group)</td></tr><tr><td><strong>Enhancing Multi-field B2B Cloud Solution Matching via Contrastive Pre-training<strong></strong></strong></td></tr><tr><td>Haonan Chen (Renmin University of China); Zhicheng Dou (Renmin University of China); Xuetong Hao (Huawei Cloud Computing); Yunhao Tao (Renmin University of China); Shiren Song (Renmin University of China); Zhenli Sheng (Huawei Cloud Computing)</td></tr><tr><td><strong>Time-Aware Attention-Based Transformer (TAAT) for Cloud Computing System Failure Prediction<strong></strong></strong></td></tr><tr><td>Lingfei Deng (Alibaba Cloud, Alibaba Group); Yunong Wang (Alibaba Cloud, Alibaba Group); Haoran Wang (Huazhong University of Science and Technology); Xuhua Ma (Alibaba Cloud, Alibaba Group); Xiaoming Du (Alibaba Cloud, Alibaba Group); Xudong Zheng (Alibaba Cloud, Alibaba Group); Dongrui Wu (Huazhong University of Science and Technology)</td></tr><tr><td><strong>MISP: A Multimodal-based Intelligent Server Failure Prediction Model for Cloud Computing Systems<strong></strong></strong></td></tr><tr><td>Xianting Lu (Zhejiang University); Yunong Wang (Alibaba Cloud, Alibaba Group); Yu Fu (Lanzhou University, Zhejiang University); Qi Sun (Zhejiang University); Xuhua Ma (Alibaba Cloud, Alibaba Group); Xudong Zheng (Alibaba Cloud, Alibaba Group); Cheng Zhuo (Zhejiang University)</td></tr><tr><td><strong>Beimingwu: A Learnware Dock System<strong></strong></strong></td></tr><tr><td>Zhi-Hao Tan (National Key Laboratory for Novel Software Technology, Nanjing University, School of Artificial Intelligence, Nanjing University); Jian-Dong Liu (National Key Laboratory for Novel Software Technology, Nanjing University, School of Artificial Intelligence, Nanjing University); Xiao-Dong Bi (National Key Laboratory for Novel Software Technology, Nanjing University, School of Artificial Intelligence, Nanjing University); Peng Tan (National Key Laboratory for Novel Software Technology, Nanjing University, School of Artificial Intelligence, Nanjing University); Qin-Cheng Zheng (National Key Laboratory for Novel Software Technology, Nanjing University, School of Artificial Intelligence, Nanjing University); Hai-Tian Liu (National Key Laboratory for Novel Software Technology, Nanjing University, School of Artificial Intelligence, Nanjing University); Yi Xie (National Key Laboratory for Novel Software Technology, Nanjing University, School of Artificial Intelligence, Nanjing University); Xiao-Chuan Zou (National Key Laboratory for Novel Software Technology, Nanjing University, School of Artificial Intelligence, Nanjing University); Yang Yu (National Key Laboratory for Novel Software Technology, Nanjing University, School of Artificial Intelligence, Nanjing University); Zhi-Hua Zhou (National Key Laboratory for Novel Software Technology, Nanjing University, School of Artificial Intelligence, Nanjing University)</td></tr></tbody></table></figure> </div></div> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained"> <p class="has-text-align-center"><strong>Thursday, August 29 14:00-16:00, Room 124-125<br>Theme: Generative AI Applications<br>Session Chair: TBD</strong></p> <figure class="wp-block-table is-style-stripes"><table class="has-fixed-layout"><tbody><tr><td><strong>Xinyu: An Efficient LLM-based System for Commentary Generation<strong></strong></strong></td></tr><tr><td>Yiquan Wu (Zhejiang University); Bo Tang (Institute for Advanced Algorithms Research); Chenyang Xi (Institute for Advanced Algorithms Research); Yu Yu (Institute for Advanced Algorithms Research); Pengyu Wang (Northeastern University); Yifei Liu (Zhejiang University); Kun Kuang (Zhejiang University); Haiying Deng (State Key Laboratory of Media Convergence Production Technology and Systems); Zhiyu Li (Institute for Advanced Algorithms Research); Feiyu Xiong (Institute for Advanced Algorithms Research); Jie Hu (Research Institute of China Telecom); Peng Cheng (State Key Laboratory of Media Convergence Production Technology and Systems); Zhonghao Wang (State Key Laboratory of Media Convergence Production Technology and Systems); Yi Wang (State Key Laboratory of Media Convergence Production Technology and Systems); Yi Luo (State Key Laboratory of Media Convergence Production Technology and Systems); Mingchuan Yang (Research Institute of China Telecom)</td></tr><tr><td><strong>Large Scale Generative AI Text Applied to Sports and Music<strong></strong></strong></td></tr><tr><td>Aaron Baughman (IBM); Eduardo Morales (IBM); Rahul Agarwal (IBM); Gozde Akay (IBM); Rogerio Feris (IBM); Tony Johnson (IBM); Stephen Hammer (IBM); Leonid Karlinsky (IBM)</td></tr><tr><td><strong>GRAM: Generative Retrieval Augmented Matching of Data Schemas in the Context of Data Security<strong></strong></strong></td></tr><tr><td>Xuanqing Liu (Amazon Web Services); Runhui Wang (Amazon Web Services); Yang Song (Amazon Web Services); Luyang Kong (Amazon Web Services)</td></tr><tr><td><strong>MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning<strong></strong></strong></td></tr><tr><td>Bingchang Liu (Ant Group); Chaoyu Chen (Ant Group); Zi Gong (Ant Group); Cong Liao (Ant Group); Huan Wang (Ant Group); Zhichao Lei (Ant Group); Ming Liang (Ant Group); Dajun Chen (Ant Group); Min Shen (Ant Group); Hailian Zhou (Ant Group); Wei Jiang (Ant Group); Hang Yu (Ant Group); Jianguo Li (Ant Group)</td></tr><tr><td><strong>GRILLBot In Practice: Lessons and Tradeoffs Deploying Large Language Models for Adaptable Conversational Task Assistants<strong></strong></strong></td></tr><tr><td>Sophie Fischer (University of Edinburgh); Carlos Gemmell (University of Glasgow); Niklas Tecklenburg (University of Glasgow); Iain Mackie (University of Glasgow); Federico Rossetto (University of Glasgow); Jeffrey Dalton (University of Edinburgh)</td></tr><tr><td><strong>TnT-LLM: Text Mining at Scale with Large Language Models<strong></strong></strong></td></tr><tr><td>Mengting Wan (Microsoft Corporation); Tara Safavi (Microsoft Corporation); Sujay Kumar Jauhar (Microsoft Corporation); Yujin Kim (Microsoft Corporation); Scott Counts (Microsoft Corporation); Jennifer Neville (Microsoft Corporation); Siddharth Suri (Microsoft Corporation); Chirag Shah (University of Washington); Ryen W. White (Microsoft Corporation); Longqi Yang (Microsoft Corporation); Reid Andersen (Microsoft Corporation); Georg Buscher (Microsoft Corporation); Dhruv Joshi (Microsoft Corporation); Nagu Rangan (Microsoft Corporation)</td></tr></tbody></table></figure> </div></div> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained"> <p class="has-text-align-center"><strong>Thursday, August 29 14:00-16:00, Room 127-128<br>Theme: Search and Ranking<br>Session Chair: TBD</strong></p> <figure class="wp-block-table is-style-stripes"><table class="has-fixed-layout"><tbody><tr><td><strong>Enhancing Asymmetric Web Search through Question-Answer Generation and Ranking<strong></strong></strong></td></tr><tr><td>Dezhi Ye (Tencent PCG); Jie Liu (Tencent PCG); Jiabin Fan (Tencent PCG); Bowen Tian (Tencent PCG); Tianhua Zhou (Tencent PCG); Xiang Chen (Tencent PCG); Jin Ma (Tencent PCG)</td></tr><tr><td><strong>Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation<strong></strong></strong></td></tr><tr><td>Yuting Zhang (Institute of Computing Technology, Chinese Academy of Sciences, University of Chinese Academy of Sciences); Yiqing Wu (Institute of Computing Technology, Chinese Academy of Sciences, University of Chinese Academy of Sciences); Ruidong Han (Meituan); Ying Sun (Thrust of Artificial Intelligence, The Hong Kong University of Science and Technology (Guangzhou)); Yongchun Zhu (Institute of Computing Technology, Chinese Academy of Sciences); Xiang Li (Meituan); Wei Lin (Meituan); Fuzhen Zhuang (Institute of Artificial Intelligence, Beihang University, Zhongguancun Laboratory); Zhulin An (Institute of Computing Technology, Chinese Academy of Sciences); Yongjun Xu (Institute of Computing Technology, Chinese Academy of Sciences)</td></tr><tr><td><strong>Optimizing Smartphone App Usage Prediction: A Click-Through Rate Ranking Approach<strong></strong></strong></td></tr><tr><td>Yuqi Zhang (Harbin Institute of Technology); Meiying Kang (Soochow University); Xiucheng Li (Harbin Institute of Technology); Yu Qiu (Independent); Zhijun Li (Harbin Institute of Technology)</td></tr><tr><td><strong>A Self-boosted Framework for Calibrated Ranking<strong></strong></strong></td></tr><tr><td>Shunyu Zhang (Kuaishou Technology); Hu Liu (Kuaishou Technology); Wentian Bao (Columbia University); Yun Yu (Northeasten University); Yang Song (Kuaishou Technology)</td></tr><tr><td><strong>Inductive Modeling for Realtime Cold Start Recommendations<strong></strong></strong></td></tr><tr><td>Chandler Zuo (Meta); Jonathan Castaldo (Meta); Hanqing Zhu (Meta); Haoyu Zhang (Meta); Ji Liu (Meta); Yangpeng Ou (Meta); Xiao Kong (Meta)</td></tr><tr><td><strong>Learning to Rank for Maps at Airbnb<strong></strong></strong></td></tr><tr><td>Malay Haldar (Airbnb, Inc.); Hongwei Zhang (Airbnb, Inc.); Kedar Bellare (Airbnb, Inc.); Sherry Chen (Airbnb, Inc.); Soumyadip Banerjee (Airbnb, Inc.); Xiaotang Wang (Airbnb, Inc.); Mustafa Abdool (Airbnb, Inc.); Huiji Gao (Airbnb, Inc.); Pavan Tapadia (Airbnb, Inc.); Liwei He (Airbnb, Inc.); Sanjeev Katariya (Airbnb, Inc.)</td></tr><tr><td><strong>Text Matching Indexers in Taobao Search<strong></strong></strong></td></tr><tr><td>Sen Li (Alibaba Group); Fuyu Lv (Alibaba Group); Ruqing Zhang (CAS Key Lab of Network Data Science and Technology, ICT, CAS); Ou Dan (Alibaba Group); Zhixuan Zhang (Alibaba Group); Maarten Rijke (University of Amsterdam)</td></tr></tbody></table></figure> </div></div> <p></p> <div class="post-tags"> </div> </div> </main> <footer id="site-footer" class="site-footer dynamic-footer footer-has-copyright"> <div class="footer-inner"> <div class="site-branding show-logo"> <div class="site-logo hide"> <a href="https://kdd2024.kdd.org/" class="custom-logo-link" rel="home"><img fetchpriority="high" width="640" height="144" src="https://kdd2024.kdd.org/wp-content/uploads/2024/01/kdd24-logo-small.jpeg" class="custom-logo" alt="ACM KDD 2024" decoding="async" srcset="https://kdd2024.kdd.org/wp-content/uploads/2024/01/kdd24-logo-small.jpeg 640w, https://kdd2024.kdd.org/wp-content/uploads/2024/01/kdd24-logo-small-300x68.jpeg 300w" sizes="(max-width: 640px) 100vw, 640px" /></a> </div> <p class="site-description show"> KDD 2024 | Barcelona, Spain </p> </div> <div class="copyright show"> <p>All rights reserved</p> </div> </div> </footer> <script src="https://kdd2024.kdd.org/wp-content/themes/hello-elementor/assets/js/hello-frontend.min.js?ver=3.0.0" id="hello-theme-frontend-js"></script> </body> </html>