Address
7-231, Lau Ming Wai Academic Building, City University of Hong Kong
Phone
+852 34428360
Fax
+852 34420189
Email
Personal Web
https://wenbojing1998.github.io/
Research Areas
Statistical Theory and Method
Machine Learning
Data-Driven Decision-Making
Qualifications
PhD - Statistics (Stern School of Business, New York University)
BS - Statistics (Peking University)
Biography
Wenbo Jing is an Assistant Professor in the Department of Decision Analytics and Operations at the College of Business, City University of Hong Kong. He received his Ph.D. in the Department of Technology, Operations, and Statistics at the Stern School of Business, New York University, and his B.S. from the School of Mathematical Sciences at Peking University. Wenbo's research interests include statistical methodology, machine learning, and data-driven decision-making, with a focus on multi-source learning, heterogeneous data analysis, reinforcement learning, and transfer learning.
Publications
Journal Publications and Reviews
Chen, Elynn; Chen, Xi; Jing, Wenbo / Data-Driven Knowledge Transfer in Batch Q* Learning. December 2025; In: Journal of the American Statistical Association.
Chen, Elynn; Chen, Xi; Jing, Wenbo; Zhang, Yichen / Distributed Tensor Principal Component Analysis with Data Heterogeneity. December 2025; In: Journal of the American Statistical Association. Vol. 120, No. 552, pp. 2619-2631
CHEN, Xi; JING, Wenbo; LIU, Weidong; ZHANG, Yichen / DISTRIBUTED ESTIMATION AND INFERENCE FOR SEMIPARAMETRIC BINARY RESPONSE MODELS. June 2024; In: The Annals of Statistics. Vol. 52, No. 3, pp. 922-947
Journal Article - Accepted
Jing, Wenbo; Simonoff, Jeffrey S. / A Regression Tree Method for Longitudinal and Clustered Data with Multivariate Responses. 2024; In: Journal of Statistical Computation and Simulation. Vol. 94, No. 4, pp. 820-844