Chao Lan

Assistant Professor

Email: clan@ou.edu
Phone: (405) 325-5735
Office: Devon Energy Hall Rm. 341

Website: cs.ou.edu/~clan/

Education
Ph.D., Computer Science
University of Kansas
M.S., Computer Science
Nanjing University of Posts and Telecommunication, China
B.S., Computer Science
Nanjing University of Posts and Telecommunication, China

Research Focus

Machine Learning

Experience and Awards

Assistant Professor, University of Oklahoma
Area Chair: ICML'25, NeurIPS'24
Senior Program Committee: PAKDD'25
Associate Editor: ACM Transactions on Probabilistic Machine Learning, 2024-
Top Reviewer: UAI'23, AISTATS'23, NeurIPS'22, AAAI'21
Distinguished Paper Award, ACSAC, 2021
Assistant Professor, University of Wyoming
NSF CRII Award, 2019
UAI Scholarship, 2016
Data Science Summer Institute Scholarship, UIUC, 2012

Selected Publications

Jacob Sturges, Luyuan Yang, Shayan Shafaei and Chao Lan. Efficient Data-Dependent Random Projection for Least Square Regressions, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025.
Yiting Cao, Shayan Shafaei, Luyuan Yang and Chao Lan. Efficient Estimation of Kernel Matrix Spectral Norm based on Random Features, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025.
Yiting Cao and Chao Lan. A Model-Agnostic Randomized Learning Framework via Random Hypothesis Subspace Sampling, International Conference on Machine Learning (ICML), 2022.
Yiting Cao and Chao Lan. Active Approximately Metric-Fair Learning, Conference on Uncertainty in Artificial Intelligence (UAI), 2022.
-- Hui Hu, Zhen Wang and Chao Lan. A Distributed Fair Machine Learning Framework with Private Demographic Data Protection. International Conference on Data Mining (ICDM), 2019.
Zhen Wang and Chao Lan. Towards a Hierarchical Bayesian Model of Multi-View Anomaly Detection. International Joint Conference on Artificial Intelligence (IJCAI), 2020.
Chao Lan, Jianxin Wang and Jun Huan. Towards a Theoretical Understanding of Negative Transfer in Collective Matrix Factorization, Conference on Uncertainty in Artificial Intelligence (UAI), 2016.
Chao Lan and Jun Huan. Reducing the Unlabeled Sample Complexity of Semi-Supervised Multi-View Learning. SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2015.
Chao Lan, Xiaoyuan Jing, David Zhang, Shiqiang Gao and Jingyu Yang. Discriminant Subclass-Center Manifold Preserving Projection for Face Feature Extraction. International Conference on Image Processing (ICIP), 2011.