Short Bio: Sheng Li is a Quantitative Foundation Associate Professor of Data Science and an Associate Professor of Computer Science (by courtesy) at the University of Virginia (UVA).

Holistic Orthogonal Analysis of Discriminant Transforms for Color Face Recognition. IEEE International Conference on Image Processing (ICIP): 3841-3844, 2010. Sheng Li, Yong-Fang Yao, Xiao-Yuan Jing, Heng Chang, Shi-Qiang Gao, David Zhang, Jing-Yu Yang: Face Recognition Based on Nonlinear DCT Discriminant Feature Extraction Using Improved ...

PhD Students Zhixuan Chu (Biostatistics, Co-advised with Dr. Stephen Rathbun), Spring 2019 - Spring 2021. Current Position: Associate Professor, Zhejiang University, China; First employment: Algorithm Expert at Ant Group. Seyedsaed Rezayidemne, Fall 2018 - Spring 2023. First employment: NLP Scientist at NBME. Yu Wang (Statistics, Co-advised with Dr. Pengsheng Ji), …

Sheng Li is an Associate Professor of Data Science at the University of Virginia (UVA). He was an Assistant Professor of Data Science at UVA from 2022 to 2023, an Assistant Professor of Computer Science at the University of Georgia from 2018 to 2022, and a Data Scientist at Adobe Research from 2017 to 2018.

Sheng Li, Liuyi Yao, Yaliang Li, Jing Gao and Aidong Zhang: " Representation Learning for Causal Inference ”, The AAAI Conference on Artificial Intelligence (AAAI), 2020. Sheng Li and Yun Fu: “ Low-Rank and Sparse Modeling for Data Analytics ”, International Joint Conference on Artificial Intelligence (IJCAI), 2016.

09/04/2018, One paper on deep representation learning and treatment effect estimation (with Liuyi Yao, Dr. Yaliang Li, Mengdi Huai, Prof. Jing Gao, Prof. Aidong Zhang) is accepted at NIPS 2018.

09/04/2018, One paper on deep representation learning and treatment effect estimation (with Liuyi Yao, Dr. Yaliang Li, Mengdi Huai, Prof. Jing Gao, Prof. Aidong Zhang) is accepted at NIPS 2018.

Spring 2022, CSCI 3360: Data Science I; STAT/CSCI 4990: Data Science Capstone Course