• Welcome
  • I am an assistant professor of Computer Science at the University of Wyoming. Prior to this, I received my Ph.D. degree in Computer Science from the University of Kansas in 2017. Here is my CV.
  • My research lies in machine learning and its interactions with fairness, privacy and security. I direct a Machine Learning Group. Our current projects focus on socially-aware learning and anomaly detection. We are grateful to be partially funded by NSF.

  • Hiring!
  • Two funded research positions are available. Please contact me if you are interested.
  • (i) A fully-funded GRA position is available for a motivated PhD or MS student with solid mathematical and programming backgrounds and committment to high-quality research and publications to work on socially/security-aware machine learning projects.
  • (ii) An hourly-paid position is available for a committed UW student with good mathematical background and working knowledge on machine learning to participate in the research on security-aware learning. Prior considerations will be given to those who are underrepresented or experienced in programming.

  • What's New [Group News]
  • 01/2020: I'll be teaching Machine Learning in Spring 2020.
  • 01/2020: I'll serve as a reviewer for IEEE Transactions on Multimedia.
  • 01/2020: I'll serve as a PC member for KDD'20.
  • 09/2019: I receive the NSF CRII award.

  • Selected Publications
  • [ICDM'19] Hui Hu*, Yijun Liu*, Zhen Wang* and Chao Lan. A distributed fair machine learning framework with private demographic data protection. International Conference on Data Mining, 2019. (acceptance rate:18.5%=194/1046) [code] [data] (a security patch to this work is at our [PPAI'20])
  • [UAI'16] Chao Lan, Jianxin Wang and Jun Huan. Towards a theoretical understanding of negative transfer in collective matrix factorization. Conference on Uncertainty in Artificial Intelligence, 2016.
  • [KDD'15] Chao Lan and Jun Huan. Reducing the unlabeled sample complexity of semi-supervised multi-view learning. Conference on Knowledge Discovery and Data Mining, 2015.
  • [CIKM'14] Yuhao Yang, Chao Lan, Xiaoli Li, Bo Luo and Jun Huan. Automatic social circle detection using multi-view clustering. Conference on Information and Knowledge Management, 2014.
  • more...

  • Teaching
  • Spring 2020: Machine Learning
  • Fall 2019: Introduction to AI

  • Selected Services
  • Conference PC: KDD'20, AAAI'19-20, PAKDD'18-20, IEEE BigData'19, IJCAI'18.
  • Journal Reviewer: IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Cybernetics, IEEE Transactions on Multimedia, Pattern Recognition, Neurocomputing.

  • Selected Awards
  • - NSF CRII Award
  • - UAI Scholarship
  • - Data Science Summer Institute Scholarship, UIUC