Jingwen Zhang
Ph.D. Student, Information Systems
Foster School of Business, University of Washington
Hi, I am currently a fourth-year Ph.D. student in Information Systems at Michael G. Foster School of Business, University of Washington. My research interests lie at the intersection of economics, econometrics, and machine learning. I am fortunate to be advised by Prof. Yong Tan.
I received my bachelor's degree in finance at Zhejiang University, China. Before joining UW, I worked in Research Institute for Interdisciplinary Sciences at SHUFE, where I was fortunate to be advised by Prof. Dongdong Ge and Prof. Simai He.
Email: jingwenz@uw.edu
Research
(* stands for equal contribution and authors are listed alphabetically)
Causal Bandits: Online Decision-Making in Endogenous Settings
Jingwen Zhang, Yifang Chen, and Amandeep Singh
Major Revision at Marketing Science
Accepted to the NeurIPS 2022 Workshop: Causal ML for Impact
Accepted to the NeurIPS 2022 Workshop: Causality-dynamical systems
Best Paper Award Candidates, CSWIM 2023
Presented at AIMLBA 2022 (Harvard), AIM 2023 (USC), CIST 2023
Jingwen Zhang, Stephanie Lee, and Yong Tan
Major Revision at Information Systems Research
Media coverage: FTCWatch
Presented at CIST 2022
Debiasing Machine-Learning- or AI-Generated Regressors in Partial Linear Models
(Earlier title: Correcting Machine Learning Generated Variable Bias in Regression Models)
Jingwen Zhang, Wendao Xue, Yifan Yu, and Yong Tan
Under Review at Operations Research
Popular Vote Poster Award, California Econometrics Conference 2023
Presented at CIST 2023, INFORMS Workshop on Data Science 2023, CODE@MIT 2023, AIMLBA 2023 (Temple)
Measuring the Impact of Unobserved Social Networks on Group Buying Decisions with Privacy Concerns
Jin Liu*, Jingwen Zhang*, Yongjun Li, and Yong Tan
In preparation for submission
Online Decision-Making in Livestream Sales
Jingwen Zhang, Shaohui Wu, and Yong Tan
Timing the Provision of Product Information in Reward-Based Crowdfunding
Yinbo Feng, Jingwen Zhang