Sheng Li's Homepage
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). 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 ...
Sheng Li
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.
Current PhD Students - Sheng Li
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.
Publications - Sheng Li
Books. Sheng Li, Zhixuan Chu: Machine Learning for Causal Inference. Springer , 2023. Sheng Li, Yun Fu: Robust Representations for Data Analytics. Springer , 2017. Book Chapters. Kang Li, Sheng Li, and Yun Fu, Time Series Modeling for Activity Prediction, Human Activity Recognition and Prediction, Springer, 2016.
Conference Tutorials - sheng-li.org
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.
Courses at UVA - Sheng Li
Spring 2022, CSCI 3360: Data Science I; STAT/CSCI 4990: Data Science Capstone Course
AiTEM - sheng-li.org
Revolutionizing the Test Development Process with Generative AI. AiTEM: A Generative AI Platform for Rapid, Cost-Effective, and High-Quality Test Development. Learn More.
News - sheng-li.org
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. (Acceptance Rate: 20.8%)