• What's New
  • 12/2021: serve as a reviewer for IEEE TNNLS and KAIS.
  • 12/2021: serve as a PC member for KDD'22.
  • 12/2021: accepted paper received the distinguished paper award at ACSAC'21.
  • 09/2021: serve as a PC member for SDM'22.
  • 08/2021: paper accepted to ACSAC'21.
  • 08/2021: teach Machine Learning and Data Structure in Fall 2021.

  • Introduction
  • I am an assistant professor in the School of Computer Science at the University of Oklahoma. I have broad research interests in machine learning and its applications in algorithmic ethics/security and anomaly detection. I received my PhD from the University of Kansas in 2017. Here is my CV.
  • To Prospective Student: I have one opening for a motivated student with solid math background and programming skills to work on novel machine learning algorithms and/or their applications in algorithmic ethics/security. If you are interested, please send me CV, transcript and personal statement.

  • Current People
  • Cao, Yiting (PhD Student)
  • Shafaei, Shayan (PhD Student)
  • Abdelnaby, Mohamed (BS Student)
  • Edgar, Matt (BS Student)
  • Mora, Natalia (BS Student)
  • Pierce, Jacob (BS Student)

  • Selected Paper
  • [UAI'16] Chao Lan, Jianxin Wang and Jun Huan. Towards a theorectical understanding of negative transfer in collective matrix factorization. Conference on Uncertainty in Artificial Intelligence, 2016.
  • Recent Service
  • PC: AAAI'22, IJCAI'22, KDD'22, SDM'22.
  • Reviewer: IEEE TNNLS, KAIS.
  • Reviewer: NSF'21-22.

  • Recent Teaching
  • Fall 2021. CS4033/5033: Machine Learning
  • Fall 2021. CS2413: Data Structure

  • Honors
  • Distinguished Paper Award, ACSAC, 2021.
  • Distinguished Lecture, NSF NRT Seminar, KU, 2021.
  • Top PC, AAAI, 2021.
  • NSF CRII Award, 2019.
  • UAI Conference Scholarship, 2016.
  • Data Science Summer Institute Scholarship, UIUC, 2012.

  • Contact
  • Office: DEH 341
  • Phone: (405) 325-5735
  • Mailing Address: 110 W. Boyd St., Devon Energy Hall, Rm. 150, Norman, OK 73019.