Chao, Wei-Lun


Wei-Lun (Harry) Chao is a Distinguished Assistant Professor of Engineering Inclusive Excellence in the Department of Computer Science and Engineering at the Ohio State University. His research interests are machine learning and computer vision and their applications in visual recognition, autonomous driving, healthcare, and biology, seeking to establish fundamental understandings and develop robust and widely applicable algorithms to resolve real-world challenges. His recent research focuses on machine learning with imperfect data (including limited, noisy, inaccessible, and distribution-shifting data), interpretable and personalized machine learning, robust perception for autonomous driving, and visual recognition in the wild. He is a member of two NSF-funded interdisciplinary institutes, ICICLE and Imageomics, and an advisor of the OSU Buckeye AutoDrive Team and advisor of the OSU AI Club. He was awarded the OSU Lumley Research Award in 2023. His research is supported by NSF, NIH, ONR, Cisco, AWS, and Google. He regularly serves as an area chair for the International Conference on Machine Learning (ICML) and the Conference on Neural Information Processing Systems (NeurIPS).

Before joining OSU, he was a Postdoctoral Associate at Cornell University, working with Kilian Weinberger and Mark Campbell. He received his Ph.D. in Computer Science from the University of Southern California under the supervision of Fei Sha. Before that, he received his M.S. degree from National Taiwan University and his B.S. degree from National Chiao Tung University, both in Communication Engineering.


Machine Learning

Computer Vision