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<!DOCTYPE html> <html> <head> <meta http-equiv="content-type" content="text/html; charset=UTF-8"> <title>Homepage</title> <link type="text/css" rel="stylesheet" href="style_classic.css"> <body> <div id="main"> <div id="content" class="clearfix"> <div id="avatar"> <img src="images/user/avatar.png" alt="avatar" /> </div> <div id="namecard"> <div class="top"> <div id="home"> <h1><strong>Cong Xie</strong></h1> <div> I'm a 5th year PhD student of Computer Science in University of Illinois at Urbana Champaign. I am co-advised by Prof. <a href="http://indy.cs.illinois.edu">Indranil Gupta</a> and Prof. <a href="http://sanmi.cs.illinois.edu/">Sanmi Koyejo</a>, and work with Distributed Protocols Research Group (<a href="http://dprg.cs.uiuc.edu">DPRG</a>). My research is mainly about distributed machine learning. <table style="font-size:18px; line-height:20px;width: 560px;margin-top: 10px;"> <tr> <td valign="top" width="15%" style="font-weight: bold;">Address</td> <td> Room #3333, <br /> Thomas M. Siebel Center for Computer Science, <br /> 201 North Goodwin Avenue, <br /> University of Illinois at Urbana Champaign, <br /> Urbana, <br /> IL 61801-2302, US <br /> </td> </tr> <tr> <td style="font-weight: bold;">Email</td> <td>cx2@illinois.edu</td> </tr> <tr> <td style="font-weight: bold;">Phone</td> <td>2178196957 (US)</td> </tr> </table> <br /> </div> </div> </div> </div> <hr /> <div id="interest"> <h2>Research Interest</h2> <div> <ul> <li>Large-scale Machine Learning</li> <li>Distributed Systems</li> <li>Graph Partitioning</li> </ul> </div> </div> <hr /> <div id="publication"> <h2>Publication</h2> <ul> <li> <b>Cong Xie</b> , Shuai Zheng, Sanmi Koyejo, Indranil Gupta, Mu Li, Haibin Lin. CSER: Communication-efficient SGD with Error Reset. <i>Advances in Neural Information Processing Systems</i> (NeurIPS) 2020. <p> </p> <br/> </li> <li> <b>Cong Xie</b> , Sanmi Koyejo, Indranil Gupta. Asynchronous Federated Optimization. <i>NeurIPS workshop on Optimization for Machine Learning</i> (OPT) 2020. <p> </p> <br/> </li> <li> <b>Cong Xie</b> , Sanmi Koyejo, Indranil Gupta, Haibin Lin. Local AdaAlter: Communication-Efficient Stochastic Gradient Descent with Adaptive Learning Rates. <i>NeurIPS workshop on Optimization for Machine Learning</i> (OPT) 2020. <p> </p> <br/> </li> <li> <b>Cong Xie</b> , Sanmi Koyejo, Indranil Gupta. Zeno++: Robust Fully Asynchronous SGD. <i>International Conference on Machine Learning</i> (ICML) 2020. <p> </p> <br/> </li> <li> <b>Cong Xie</b> , Sanmi Koyejo, Indranil Gupta. SLSGD: Secure and Efficient Distributed On-device Machine Learning. <i>European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases</i> (ECML PKDD) 2019. <p> </p> <br/> </li> <li> <b>Cong Xie</b> , Sanmi Koyejo, Indranil Gupta. Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation. <i>Uncertainty in Artificial Intelligence</i> (UAI) 2019. <p> </p> <br/> </li> <li> <b>Cong Xie</b> , Sanmi Koyejo, Indranil Gupta. Zeno: Distributed Stochastic Gradient Descent with Suspicion-based Fault-tolerance. <i>International Conference on Machine Learning</i> (ICML) 2019. <p> </p> <br/> </li> <li> <b>Cong Xie</b> , Ling Yan, Wu-Jun Li, and Zhihua Zhang. Distributed Power-Law Graph Computing: Theoretical and Empirical Analysis. <i> In Proceedings of Conference on Neural Information Processing Systems</i> (NeurIPS) 2014. ( <a href="papers/nips2014.pdf">PDF</a>, <a href="https://github.com/xcgoner/powerlore">Code</a> ) <p> </p> <br/> </li> <li> Shenjian Zhao, <b>Cong Xie</b> , and Zhihua Zhang. A Scalable and Extensible Framework for Superposition-Structured Models. <i> The Thirtieth Conference on Artificial Intelligence</i> (AAAI-16) 2015. <p> </p> <br/> </li> <li> Wuxuan Jiang, <b>Cong Xie</b> , and Zhihua Zhang. Wishart Mechanism for Differentially Private Principle Components Analysis. <i> The Thirtieth Conference on Artificial Intelligence</i> (AAAI-16) 2015. ( <a href="http://arxiv.org/abs/1511.05680">http://arxiv.org/abs/1511.05680</a> ) <p> </p> <br/> </li> <li> <b>Cong Xie</b> , Donglin Yang, Yixiang Huang, and Donglai Sun. Feature Extraction and Ensemble Decision Tree Classifier in Plant Failure Detection. <i> Annual Conference of the Prognostics and Health Management Society</i> (IEEE PHM2015 Data Challenge Winner Paper) 2015. ( <a href="papers/PHM2015_Maxtropy.pdf">PDF</a>, <a href="code/phm15_code_pub.zip">Code</a> ) <p> </p> <br/> </li> </ul> </div> <hr /> <div id="preprints"> <h2>Preprints</h2> <ul> <li> <b>Cong Xie</b> , Shuai Zheng, Sanmi Koyejo, Indranil Gupta, Mu Li, and Haibin Lin. CSER: Communication-efficient SGD with Error Reset. ( <a href="https://arxiv.org/abs/2007.13221">https://arxiv.org/abs/2007.13221</a> ) <p> </p> <br/> </li> <li> <b>Cong Xie</b> , Sanmi Koyejo, Indranil Gupta, and Haibin Lin. Local AdaAlter: Communication-Efficient Stochastic Gradient Descent with Adaptive Learning Rates. ( <a href="https://arxiv.org/abs/1911.09030">https://arxiv.org/abs/1911.09030</a> ) <p> </p> <br/> </li> <li> <b>Cong Xie</b> , Sanmi Koyejo, and Indranil Gupta. Asynchronous Federated Optimization. ( <a href="https://arxiv.org/abs/1903.03934">https://arxiv.org/abs/1903.03934</a> ) <p> </p> <br/> </li> <li> <b>Cong Xie</b> , Sanmi Koyejo, and Indranil Gupta. Phocas: dimensional Byzantine-resilient stochastic gradient descent. ( <a href="https://arxiv.org/abs/1805.09682">https://arxiv.org/abs/1805.09682</a> ) <p> </p> <br/> </li> <li> <b>Cong Xie</b> , Ling Yan, Xiao-Fan Niu, Wuxuan Jiang, Wu-Jun Li, and Zhihua Zhang. Distributed Power-Law Graph Computing: Theoretical and Empirical Analysis. ( <a href="papers/powerlore.pdf">Long Version</a>, <a href="https://github.com/xcgoner/powerlore">Code</a> ) <p> </p> <br/> </li> <li> <b>Cong Xie</b> , Wu-Jun Li, and Zhihua Zhang. S-PowerGraph: Streaming Graph Partitioning for Natural Graphs by Vertex-Cut. ( <a href="http://arxiv.org/abs/1511.02586">http://arxiv.org/abs/1511.02586</a> ) <p> </p> <br/> </li> <li> <b>Cong Xie</b> , Wu-Jun Li, and Zhihua Zhang. A New Relaxation Approach to Normalized Hypergraph Cut. ( <a href="http://arxiv.org/abs/1511.02595">http://arxiv.org/abs/1511.02595</a> ) <p> </p> <br/> </li> </ul> </div> <hr /> <div id="service"> <h2>Academic Service</h2> <h3>Journal Reviewer</h3> <ul> <li> Journal of Machine Learning Research </li> <li> ACM Transactions on Autonomous and Adaptive Systems </li> <li> IEEE Transactions on Signal Processing </li> </ul> </div> <hr /> <div id="honor"> <h2>Honors & Awards</h2> <ul> <li> J.P. Morgan 2020 AI Research PhD Fellowship Awards </li> <li> National Scholarship (Top 2%) </li> <li> 3rd place in IEEE PHM 2015 Data Challenge (<a href="http://phmdatachallenge.freeforums.net/thread/22/final-scores-data-challenge-2015">Leaderboard</a>) </li> <li> NIPS Travel Award </li> <li> SJTU Academic Excellence Scholarship Class-B (Top 10%) </li> <li> SJTU Academic Excellence Scholarship Class-C (2 Times, Top 20%) </li> <li> 2nd provincial-level in China Undergraduate Mathematical Contest in Modeling </li> </ul> </div> <hr /> <div id="notes"> <h2>Lecture Notes</h2> <ul> <li> Foundations of Machine Learning: <a href="http://bcmi.sjtu.edu.cn/log/files/lecture_notes/ml_2014_spring_ieee/lecture1.pdf">Basic Theory</a> </li> <li> Foundations of Machine Learning: <a href="http://bcmi.sjtu.edu.cn/log/files/lecture_notes/ml_2014_spring_ieee/lecture2.pdf">The Multivariate Normal Distribution</a> </li> </ul> </div> </div> </div> </body> </html>