PhD, Computer Science, University of Kansas
MS, Nanjing University of Posts and Telecommunication, China
BS, Nanjing University of Posts and Telecommunication, China
Assistant Professor, School of Computer Science
University of Oklahoma
Assistant Professor, Department of Computer Science
University of Wyoming
Machine learning, algorithmic fairness, data privacy, AI security, anomaly detection, recommender system.
AWARDS, HONORS & PROFESSIONAL ACTIVITIES
- NSF CRII Award 2019
- Robb Award, University of Kansas 2015, 2016
- Data Science Summer Institute Scholarship, UIUC 2012
- Chao Lan and Jun Huan. Reducing the unlabeled sample complexity of semi-supervised multi-view learning. Conference on Knowledge Discovery and Data Mining, 2015.
- Chao Lan, Jianxin Wang and Jun Huan. Towards a theoretical understanding of negative transfer in collective matrix factorization. Conference on Uncertainty in Artificial Intelligence, 2016.