Yisen Wang is an assistant professor and Ph.D. supervisor at Peking University. His research focuses on machine learning theory and algorithms, with particular emphasis on self-supervised learning theory, trustworthy machine learning, and graph learning.
He has published over 50 top-tier academic papers in the field of artificial intelligence, including conferences such as ICML, NeurIPS, and ICLR. Several of his papers have been selected for oral presentations or spotlight sessions. He has received the Best Paper Award at ECML 2021 and the First Prize in the 22nd Peking University Teaching Contest for Young Teachers in the Science and Engineering category.
