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.

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.

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge … Towards a theoretical understanding of negative transfer in collective matrix factorization.

Elaine Lan Chao (born March 26, 1953) is an American businesswoman and former government official who served as United States secretary of labor in the administration of George W. Bush from 2001 to 2009 and as United States secretary of transportation in the administration of Donald Trump from 2017 to 2021.

Chao Lan is a professor in the Computer Science department at University of Oklahoma - see what their students are saying about them or leave a rating yourself.

Chao Lan, Yujie Deng and Jun Huan, A disagreement-based active matrix completion approach with provable guarantee. International Joint Conference on Neural Networks (IJCNN), 2016.

Chao Lan. Assistant Professor. Contact: [email protected] (405) 325-5735 Devon Energy Hall 210-E. Research Focus: Machine learning; More about Chao Lan... Beiyu Lin. Assistant Professor. Contact: [email protected] Devon Energy Hall 235. Research Focus: Machine learning; Deep learning; Behavior modeling;

Chao Lan University of Oklahoma Verified email at ou.edu. Follow. Yiting Cao. University of Oklahoma. Verified email at ou.edu. Machine Learning. Articles Cited by Public access Co-authors. ... Y Cao, C Lan. International Conference on Machine Learning, 2597-2608, 2022. 2: 2022: Theory-Guided Algorithm Design for Scalable Machine Learning. Y Cao.

Chao Lan, Xiao-Yuan Jing, David Zhang, Shi-Qiang Gao, Jingyu Yang: Discriminant subclass-center manifold preserving projection for face feature extraction. ICIP 2011: 3013-3016