Hengtong Zhang

  Ph.D. Candidate

  Department of Computer Science and Engineering

  State University of New York at Buffalo

  Address: 301C Davis Hall, Buffalo, New York 14260

  Email: hengtong AT buffalo DOT edu


Biography

I am currently a Ph.D. candidate in the Department of Computer Science and Engineering, State University of New York at Buffalo, supervised by Prof. Jing Gao. Before joining State University of New York at Buffalo, I received B.E. Beijing University of Posts and Telecommunications.

Research Interests

My research interests lie in the areas of Data Mining and Machine Learning, with a current focus on the security aspects of data mining and machine learning models.

Teaching & Professional Experiences

  • Research Intern @ Damo Academy, Alibaba U.S. Inc.      May 2019 - Aug. 2019
    Conduct research on analyzing the vulnerbility of the recommendation methods.
  • Research Intern @ Nec Labs America.      May 2016 - Aug. 2016
    Conduct research on discovering the APTs from enterprise system logs.
  • Teaching Assistant @ SUNY at Buffalo.      2016 - 2019
    Teaching assistant of Computer Networks and Machine Learning.

Selected Publications

  • [WWW'20] Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao, "Practical Data Poisoning Attack against Next Item Recommendation", Proceedings of the WebConference, WWW 2020, Taipei, Taiwan, April 20-24, 2020.
  • [IJCAI'19] Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, and Kui Ren, "Data Poisoning Attack against Knowledge Graph Embedding", Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019.
  • [KBS] Chen Ye, Hongzhi Wang, Tingting Ma, Jing Gao, Hengtong Zhang, and Jianzhong Li, "PatternFinder: Pattern discovery for truth discovery", Knowledge based System, vol. 176, page 97-109, 2019.
  • [KAIS] Chen Ye, Qi Li, Hengtong Zhang, Hongzhi Wang, Jing Gao, and Jianzhong Li "AutoRepair: an automatic repairing approach over multi-source data", Knowledge and Information System, vol. 61, page 227-257, 2019.
  • [ASONAM'18] Hengtong Zhang, Fenglong Ma, Yaliang Li, Chao Zhang, Tianqi Wang, Yaqing Wang, Jing Gao, and Lu Su, "Leveraging the Power of Informative Users for Local Event Detection", IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018, Barcelona, Spain, August 28-31, 2018.
  • [KDD'18] Hengtong Zhang, Yaliang Li, Fenglong Ma, Jing Gao, and Lu Su, "TextTruth: An Unsupervised Approach to Discover Trustworthy Information from Multi-Sourced Text Data", Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2018, London, UK, August 19-23, 2018.
  • [CIKM'16] Hengtong Zhang, Qi Li, Fenglong Ma, Houping Xiao, Yaliang Li, Jing Gao, and Lu Su, "Influence-Aware Truth Discovery", Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016
Last updated: March 2020. Copyright (c) 2020 Hengtong Zhang. All rights reserved.