Sheng Li

Sheng Li is an artificial intelligence researcher and his long-term goal is to develop intelligent systems in open and dynamic environments. Li joined the University of Virginia School of Data Science in 2022. 

Prior to UVA, Li was an Assistant Professor of Computer Science at the University of Georgia from 2018 to 2022 and a Data Scientist in Adobe Research from 2017 to 2018. He directs the Reasoning and Knowledge Discovery (RISE) Laboratory. Li's research interests include trustworthy machine learning (e.g., robustness, fairness, causality, transferability), generative AI (e.g., large language models, diffusion models), computer vision, and causal inference. 

Li has extensive publications in major peer-reviewed journals and conferences. He has served as associate editor of six journals, including Transactions on Machine Learning Research, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Circuits and Systems for Video Technology, and IEEE Transactions on Cognitive and Developmental Systems, and also served as Area Chair for NeurIPS, ICLR, ICML, and IJCAI. 

Li holds a Ph.D. in Computer Engineering from Northeastern University, and an M.S. in Information Security and B.S. in Computer Science from Nanjing University of Posts and Telecommunications.