• I am an assistant professor in the School of Computer Science, Gallogly College of Engineering, at the University of Oklahoma (OU). I am also affiliated with the Data Science and Analytics Institute at OU.
  • I work on machine learning. My primary research interest is to explore (provable) probabilistic natures of a learning task and exploit them to better understand or improve task efficiency and trustworthiness. My current research focuses on designing, analyzing and applying randomized learning algorithms.
  • I received my Ph.D. degree from the University of Kansas. Here is my CV.
  • What's New
  • 02/2025: I'll serve as an Area Chair for NeurIPS'25.
  • 12/2024: Two papers accepted by ICASSP'25. Congrats to Yiting, Jacob, Shayan and Luyuan.
  • 12/2024: I'll serve as an Area Chair for ICML'25 and SPC for PAKDD'25.
  • 06/2024: Luyuan received the Gallogly College of Engineering Scholarship.
  • 03/2024: I'll serve as an Area Chair for NeurIPS'24.
  • Research Work on Randomized Learning
  • Efficient Data-Dependent Random Projection for Least Square Regressions
    Jacob Sturges, Luyuan Yang, Shayan Shafaei and Chao Lan
    International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
  • Efficient Estimation of Kernel Matrix Spectral Norm based on Random Features
    Yiting Cao, Shayan Shafaei, Luyuan Yang and Chao Lan
    International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
  • A Model-Agnostic Randomized Learning Framework via Random Hypothesis Subspace Sampling
    Yiting Cao and Chao Lan
    International Conference on Machine Learning (ICML), 2022
  • Other Selected Work
  • Active Approximately Metric-Fair Learning
    Yiting Cao and Chao Lan
    Conference on Uncertainty in Artificial Intelligence (UAI), 2022
  • Towards a Theorectical Understanding of Negative Transfer in Collective Matrix Factorization
    Chao Lan, Jianxin Wang and Jun Huan
    Conference on Uncertainty in Artificial Intelligence (UAI), 2016
  • Ph.D. Students
  • Shayan Shafaei, 2022-
  • Luyuan Yang, 2023-
  • * To OU students: if you are interested in doing research with me, please take 4033/5033 first.
  • Recent Teaching
  • Spring 2025. CS2813: Discrete Structures
  • Fall 2024. CS4033/5033: Machine Learning Fundamentals
  • Fall 2024. CS4013/5013: Artificial Intelligence
  • Recent Service
  • Area Chair: NeurIPS'24-25, ICML'25
  • Senior PC: PAKDD'25
  • Reviewer: ICML'24, UAI'24, NeurIPS'23, AISTATS'23.
  • Associate Editor: ACM Transactions on Probabilistic Machine Learning
  • Honors
  • Top Reviewer: UAI'23, AISTATS'23, NeurIPS'22, AAAI'21
  • Distinguished Lecture, NSF NRT@KU, 2021
  • Distinguished Paper Award, ACSAC, 2021
  • NSF CRII Award, 2019
  • UAI Scholarship, 2016
  • Data Science Summer Institute Scholarship, UIUC, 2012
  • Contact
  • Office: DEH 210
  • Phone: (405)325-5735