Liangyu Zhang

Publisher:严继臧Release time:2024-09-12Viewer:5534

Name: Zhang Liangyu

Title: Assistant Professor

Research direction: Reinforcement Learning Theory, Distributionally Robust Optimization

Courses Taught: "Statistics", "Empirical Processes"

E - mail:zhangliangyu@sufe.edu.cn

Phone:

Research Project

Serial Number

Project Name

Project Number

Project Source

Start and End Time

Project Funding

1

Statistical   Theory and Inference Methods for Online Value Distribution Strategy   Evaluation

12501707

National   Natural Science Foundation Youth Project (Category C)



2026-2029 Years

300,000 yuan








Education Background

2015-2019 Bachelor in Statistics, School of Mathematical Sciences, Peking University

2019-2024 Peking University Institute for Interdisciplinary Research Data Science PhD

Work Experience

2024 to present Shanghai University of Finance and Economics School of Statistics and Management Assistant Professor

Research Achievements

Estimation and Inference in Distributional Reinforcement Learning Liangyu Zhang, Yang Peng, Jiadong Liang, Wenhao Yang, and Zhihua Zhang The Annals of Statistics, 2025+.

Statistical Efficiency of Distributional Temporal Difference Learning Yang Peng, Liangyu Zhang, and Zhihua Zhang Conference on Neural Information Processing Systems (NeurIPS), 2024.

Semi-Infinitely Constrained Markov Decision Processes and Provably Efficient Reinforcement Learning Liangyu Zhang, Yang Peng, Wenhao Yang, and Zhihua Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.

Semi-Infinitely Constrained Markov Decision Processes Liangyu Zhang, Yang Peng, Wenhao Yang, and Zhihua Zhang

Conference on Neural Information Processing Systems (NeurIPS), 2022.

Toward Theoretical Understandings of Robust Markov Decision Processes: Sample Complexity and Asymptotics

Wenhao Yang, Liangyu Zhang, and Zhihua Zhang The Annals of Statistics, 2022.


Rewards, Honors

Peking University PhD Student President Scholarship 2024


Social Work

Formerly served as a reviewer for ICML, NeurIPS, ICLR, SIAM Journal on Optimization, and Journal of Machine Learning Research.








Contact Us
Operator:+86 21 65901099 , 021-65901079
Address:No.777 Guoding Road, Yangpu District, Shanghai, P.R.China 200433
版权所有©上海财经大学统计与数据科学学院
Scan the qrcode