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Cong Xie

I'm a first year PhD student of Computer Science in University of Illinois at Urbana Champaign. I am co-advised by Prof. Indranil Gupta and Prof. Sanmi Koyejo, and work with Distributed Protocols Research Group (DPRG). My research is mainly about distributed machine learning.
Address Room #3111,
Thomas M. Siebel Center for Computer Science,
201 North Goodwin Avenue,
University of Illinois at Urbana Champaign,
Urbana,
IL 61801-2302, US
Email cx2@illinois.edu
Phone 2178196957 (US)


Research Interest

  • Large-scale Machine Learning
  • Graph Partitioning
  • Graph-structured Learning
  • Bayesian Methods

Publication

  • Cong Xie , Ling Yan, Xiao-Fan Niu, Wuxuan Jiang, Wu-Jun Li, and Zhihua Zhang. Distributed Power-Law Graph Computing: Theoretical and Empirical Analysis. ( Long Version, Code )


  • Cong Xie , Ling Yan, Wu-Jun Li, and Zhihua Zhang. Distributed Power-Law Graph Computing: Theoretical and Empirical Analysis. In Proceedings of Conference on Neural Information Processing Systems (NIPS) 2014. ( PDF, Code )


  • Shenjian Zhao, Cong Xie , and Zhihua Zhang. A Scalable and Extensible Framework for Superposition-Structured Models. The Thirtieth Conference on Artificial Intelligence (AAAI-16) 2015.


  • Wuxuan Jiang, Cong Xie , and Zhihua Zhang. Wishart Mechanism for Differentially Private Principle Components Analysis. The Thirtieth Conference on Artificial Intelligence (AAAI-16) 2015. ( http://arxiv.org/abs/1511.05680 )


  • Cong Xie , Wu-Jun Li, and Zhihua Zhang. S-PowerGraph: Streaming Graph Partitioning for Natural Graphs by Vertex-Cut. ( http://arxiv.org/abs/1511.02586 )


  • Cong Xie , Wu-Jun Li, and Zhihua Zhang. A New Relaxation Approach to Normalized Hypergraph Cut. ( http://arxiv.org/abs/1511.02595 )


  • Cong Xie , Donglin Yang, Yixiang Huang, and Donglai Sun. Feature Extraction and Ensemble Decision Tree Classifier in Plant Failure Detection. Annual Conference of the Prognostics and Health Management Society (IEEE PHM2015 Data Challenge Winner Paper) 2015. ( PDF, Code )



Academic Service

Journal Reviewer

  • Journal of Machine Learning Research

Honors & Awards

  • National Scholarship (Top 2%)
  • 3rd place in IEEE PHM 2015 Data Challenge (Leaderboard)
  • NIPS Travel Award
  • SJTU Academic Excellence Scholarship Class-B (Top 10%)
  • SJTU Academic Excellence Scholarship Class-C (2 Times, Top 20%)
  • 2nd provincial-level in China Undergraduate Mathematical Contest in Modeling

Lecture Notes