Houping Xiao

    Ph.D. Candidant
    Computer Science and Engineering
    The State University of New York at Buffalo
    Email: houpingx "@" buffalo "." edu"
    Address: 341 Davis Hall
    Buffalo, NY 14260

Short Biography: I am a final year Ph.D. Candidate under the supervision of Dr. Jing Gao in Department of Computer Science and Engineering, The State University of New York at Buffalo. Before joining UB in 2013, I got my Bachelor of Science degree in Statistics from Beijing Normal University in 2011; after graduation, I worked as a research assistant in City University of Hong Kong, supervised by Professor Ding-Xuan Zhou on learning theory.

My research interests broadly are data mining and machine learning, including truth discovery, multi-source information trustworthiness analysis, privacy-preserving data mining, and educational data mining.

RIght Now, I am on job market. For more information about my research, please check my Curriculum Vitae and Researcg Statement.

News

Conferences

  • Unsupervised Discovery of Drug Side-Effects From Heterogeneous Data Sources
    Fenglong Ma, Chuishi Meng, Houping Xiao, Qi Li, Jing Gao, Lu Su, Aidong Zhang
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2017 [Paper to appear]
  • Learning Temporal State of Diabetes Patients via Combining Behavioral and Demographic Data
    Houping Xiao, Jing Gao, Long Vu, Deepak S. Turaga
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2017 [Paper to appear]
  • Detecting Malicious Behavior in Computer Networks via Cost-Sensitive and Connectivity Constrained Classification
    Houping Xiao, Jing Gao, Long Vu, Deepak S. Turaga
    SIAM International Conference on Data Mining (SDM), 2017 [Paper to appear]
  • A Truth Discovery Approach with Theoretical Guarantee
    Houping Xiao, Jing Gao, Zhaoran Wang, Shiyu Wang, Lu Su, Han Liu
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2016 [Paper][Video]
  • Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach
    Houping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Yunlong Feng, Aidong Zhang
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2016 [Paper][Video]
  • Tackling the Redundancy and Sparsity in Crowd Sensing Applications
    Chuishi Meng, Houping Xiao, Lu Su, Yun Cheng
    ACM Conference on Embedded Networked Sensor Systems (SenSys), 2016 [Paper][Code]
  • Influence-Aware Truth Discovery
    Hengtong Zhang, Qi Li, Fenglong Ma, Houping Xiao, Yaliang Li, Jing Gao, Lu Su
    ACM International Conference on Information and Knowledge Management (CIKM), 2016 [Paper][Code]
  • INCEPTION: Incentivizing Privacy-Preserving Data Aggregation for Mobile Crowd Sensing Systems
    Haiming Jin, Lu Su, Houping Xiao, Klara Nahrstedt
    ACM Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 2016 [Paper]
  • DRN: Bringing Greedy Layer-wised Training into Time Dimension
    Xiaoyi Li, Xiaowei Jia, Hui Li, Houping Xiao, Jing Gao, Aidong Zhang
    IEEE International Conference on Data Mining (ICDM), 2015 [Paper]
  • Cloud-Enabled Privacy-Preserving Truth Discovery in Crowd Sensing Systems
    Chenglin Miao, Wenjun Jiang, Lu Su, Yaliang Li, Suxin Guo, Zhan Qin, Houping Xiao, Jing Gao, Kui Ren.
    ACM Conference on Embedded Networked Sensor Systems (SenSys), 2015 [Paper]
  • Temporal Multi-View Inconsistency Detection for Network Traffic Analysis
    Houping Xiao, Jing Gao, Deepak Turaga, Long Vu, Alain Biem
    International World Wide Web Conference (WWW), 2015 [Paper][Slides][Code]
  • Believe It Today or Tomorrow? Detecting Untrustworthy Information from Dynamic Multi-Source Data
    Houping Xiao, Yaliang Li, Jing Gao, Fei Wang, Liang Ge, Wei Fan, Long Vu Deepak Turaga
    SIAM International Conference on Data Mining (SDM), 2015 [Paper][Slides]
  • Workshops

  • Multi-Source Information Trustworthiness Analysis
    Houping Xiao, Jing Gao
    IEEE International Conference on Data Mining Workshop (ICDMW), 2015, [Paper]
  • Multi-Source Untrustworthy/Trustworthy Information Detection
    Houping Xiao, Jing Gao
    SIAM International Conference on Data Mining (SDM), Doctoral Student Forum, 2015 [Poster]

  • Towards Truth Discovery in Big Data
    School of Statistics, Beijing Normal University, November 3, 2016
  • IBM Thomas J. Watson Research Center
    Research Intern, Yorktown Heights, US, 2016.6-2016.8
  • IBM Thomas J. Watson Research Center
    Research Intern, Yorktown Heights, US, 2015.6-2015.8
  • IBM Thomas J. Watson Research Center
    Research Intern, Yorktown Heights, US, 2014.5-2014.8
  • Department of Mathematics, City University of Hong Kong
    Research Assistant, Mathematics, Hong Kong, 2011.9-2012.1
  • Learning Temporal States From Time-varying Data
    Jing Gao, Deepak S. Turaga, Long Vu, Houping Xiao, Filed by IBM
  • Label Inference Using Bipartite Graph Structure
    Jing Gao, Deepak S. Turaga, Long Vu, Houping Xiao, IBM Docket No. YOR820151563 US1, 2015, Under Review
  • Unsupervised Multi-Source Temporal Anomaly Detection
    Alain Biem, Jing Gao, Deepak S. Turaga, Long Vu, Houping Xiao, US Patent.
  • SDM Travel Award, Houston, Texas, USA, 2017
  • KDD Travel Award, San Francisco, CA, USA, 2016
  • ICDM Travel Award, Atlantic City, NJ, USA, 2015
  • SDM Travel Award, Vancouver, British Columbia, Canada, 2015
  • Postgraduate Studentship, City University of Hong Kong, 2012-2013
  • National Scholarship, Ministry of Education of China, 2010
  • Honor of Excellent Student, Beijing Normal University,2010
  • National Scholarship Endeavorers, Ministry of Education of China, 2009
  • Mathematics First Scholarship for Undergraduates, Beijing Normal University ,2009,2010