Dr. Yuan currently serves as an Assistant Professor at Department of Biostatistics at City Univeristy of Hong Kong. He obtained his Ph.D. from Columbia Univeristy, under the supervision of Prof. Samory Kpotufe and Prof. Tian Zheng. He obtained his B.Sc. and M.Phil. from the Chinese University of Hong Kong, under the supervision of Prof. Chun Yip Yau. His research interest lies broadly in the intersection of statistics and theoretical machine learning, including active learning, representation learning, time series analysis, dimension reduction etc.
Journal
- Yuan, Gan. , Xu, Mingyue. , Kpotufe, Samory. K. & Hsu, Daniel. J. (2024). Efficient Estimation of the Central Mean Subspace via Smoothed Gradient Outer Products. SIAM Journal on Mathematics of Data Science. (Under Review).
- Yuan, Gan. , Zhao, Yunfan. & Kpotufe, Samory. (2024). Regimes of No Gain in Multi-class Active Learning. Journal of Machine Learning Research. 25(129). 1 - 31.
- Tang, Chengliang. , Yuan, Gan. & Zheng, Tian. (2022). Weakly supervised learning creates a fusion of modeling cultures. Observational Studies. 7(1). 203 - 211.
Conference Paper
- Kpotufe, Samory. , Yuan, Gan. & Zhao, Yunfan. (2022). Nuances in Margin Conditions Determine Gains in Active Learning. The 25th International Conference on Artificial Intelligence and Statistics, PMLR. 151. (pp. 8112 - 8126).
Last update date :
07 Aug 2024
