• I am an assistant professor of Computer Science and an affiliated faculty in the Data Science and Analytics Institute at OU. My research interest is in machine learning. I currently investigate randomized learning and algorithmic trustworthiness. I got my Ph.D. degree from the University of Kansas. [CV]
  • I have one research position opening. Click here for more information.

  • What's New
  • 05/2022: Paper accepted by UAI'22. Congratulations to Yiting.
  • 05/2022: Paper accepted by ICML'22. Congratulations to Yiting.
  • 05/2022: Mohamed received the inarguable Provost's Undergraduate Research and Creative Activity Fellowship at OU. Congratulations.
  • 05/2022: Proposal with Jiqun funded by the Data Institute for Societal Challenges at OU.
  • 04/2022: Paper accepted by IJCNN'22. Congratulations to Yiting.
  • 03/2022: Serve as a reviewer for NeurIPS'22.
  • 01/2022: Serve as a reviewer for ICML'22.
  • 01/2022: Paper accepted by Information Science.
  • 12/2021: Accepted paper received the distinguished paper award at ACSAC'21.
  • 08/2021: Paper accepted by ACSAC'21.

  • Selected Publications
  • [ICML'22] Yiting Cao and Chao Lan. A model-agnostic randomized learning framework based on random hypothesis subspace sampling. in Proc. of the 39th International Conference on Machine Learning (ICML), 2022.
  • [UAI'22] Yiting Cao and Chao Lan. Active approximately metric-fair learning. in Proc. of the 38th Conference on Uncertainty in Artificial Intelligence (UAI), 2022.
  • [UAI'16] Chao Lan, Jianxin Wang and Jun Huan. Towards a theorectical understanding of negative transfer in collective matrix factorization. in Proc. of the 32nd Conference on Uncertainty in Artificial Intelligence (UAI), 2016.
  • Reseach Assistants
  • Yiting Cao (Ph.D. Student)
  • Shayan Shafaei (Ph.D. Student)
  • Mohamed Abdelnaby (BS Student)

  • Teaching
  • Fall 2022. CS4033/5033: Machine Learning
  • Fall 2022. CS2413: Data Structure
  • Fall 2021. CS4033/5033: Machine Learning
  • Fall 2021. CS2413: Data Structure

  • Service
  • PC/Reviewer: NeurIPS'22, ICML'22, KDD'22, AAAI'22.

  • Honors
  • Distinguished Lecture, NSF NRT Seminar, KU, 2021
  • Distinguished Paper Award, ACSAC, 2021
  • Top PC, AAAI, 2021
  • NSF CRII Award, 2019
  • UAI Scholarship, UAI, 2016
  • Robb Award, University of Kansas (KU), 2014, 2015
  • Data Science Summer Institute Scholarship, UIUC, 2012

  • To Prospective Students
  • I currently have an RA position opening for a motivated and reliable Ph.D. student with decent math background (including degree in math) and sufficient programming skills to work on randomized machine learing projects -- see our ICML'22 paper as an example. If you are interested, please send me your CV, transcript(s), personal statement and three reference contacts or letters. If you are on OU campus, it is best to stop by my office to discuss details.