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Chao Lan

Chao Lan

Chao Lan

Assistant Professor

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


Websitecs.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
  • 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.