Chao Lan

Assistant Professor

Email: clan@ou.edu
Office: Devon Energy Hall Rm. 210-E

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
Statistical Learning Theory
Random Sketching
Trustworthy Learning

Experience and Awards

Assistant Professor, University of Oklahoma
Associate Editor: ACM Transactions on Probabilistic Machine Learning
Area Chairs: ICML'25-26, NeurIPS'24-26, PAKDD'25-26
Top Reviewers: UAI'23, AISTATS'23, NeurIPS'22, AAAI'21
Distinguished Paper Award, ACSAC, 2021
Distinguished Lecture, NSF NRT Seminar at University of Kansas, 2021
NSF CRII Award, 2019
Data Science Summer Institute Scholarship, UIUC, 2012

Selected Publications

C. Lan and L.Yang. Bidirectional random projections, in Statistics & Probability Letters, 2026.
J. Sturges, L. Yang, S. Shafaei and C. Lan. Efficient data-dependent random projection for least square regressions, in ICASSP 2025.
Y. Cao and C. Lan. A model-agnostic randomized learning framework via random hypothesis subspace sampling, in ICML 2022.
Y. Cao and C. Lan. Active approximately metric-fair learning, in UAI 2022.
H. Hu, Z. Wang and C. Lan. A distributed fair machine learning framework with private demographic data protection. in ICDM 2019.
C. Lan, J. Wang and J. Huan. Towards a theoretical understanding of negative transfer in collective matrix factorization, in UAI 2016.
C. Lan and J. Huan. Reducing the unlabeled sample complexity of semi-supervised multi-view learning. in KDD 2015.