Zheng Yu

Researcher, Alibaba Group

Joined

March 2019

Names

Zheng Yu (Preferred)

Emails

****@princeton.edu (Confirmed)

****@alibaba-inc.com (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Homepage

DBLP

Career & Education History

Researcher

Alibaba Group (alibaba-inc.com)

2022 – Present

PhD student

Princeton University (princeton.edu)

2017 – 2022

Undergrad student

University of Science and Technology of China (ustc.edu.cn)

2013 – 2017

Advisors, Relations & Conflicts

PhD Advisor

Mengdi Wang

2017 – 2022

Expertise

No areas of expertise listed

Publications

Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources
Yikuan Li, Chengsheng Mao, Kaixuan Huang, Zheng Yu, Hanyin Wang, Mengdi Wang, Yuan Luo
- Submitted to ICLR 2024
- Readers: Everyone
Fast sketching of polynomial kernels of polynomial degree
Zhao Song, David Woodruff, Zheng Yu, Lichen Zhang
- 10 Apr 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability
Zhao Song, Yitan Wang, Zheng Yu, Lichen Zhang
- ICML 2023 Poster
- Readers: Everyone
Deep Reinforcement Learning for Cost-Effective Medical Diagnosis
Zheng Yu, Yikuan Li, Joseph Kim, Kaixuan Huang, Yuan Luo, Mengdi Wang
- 2023 (modified: 17 Apr 2023)
- CoRR 2023
- Readers: Everyone
Deep Reinforcement Learning for Cost-Effective Medical Diagnosis
Zheng Yu, Yikuan Li, Joseph Chahn Kim, Kaixuan Huang, Yuan Luo, Mengdi Wang
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- ICLR 2023 poster
- Readers: Everyone
Teamwork Reinforcement Learning with Concave Utilities
Zheng Yu, Junyu Zhang, Zheng Wen, Andrea Tacchetti, Mengdi Wang, Ian Gemp
- Published: 25 Apr 2022, Last Modified: 05 May 2023
- ICLR 2022 Workshop on Gamification and Multiagent Solutions
- Readers: Everyone
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability
Zhao Song, Yitan Wang, Zheng Yu, Lichen Zhang
- 2022 (modified: 15 Apr 2023)
- CoRR 2022
- Readers: Everyone
Fast Graph Neural Tangent Kernel via Kronecker Sketching
Shunhua Jiang, Yunze Man, Zhao Song, Zheng Yu, Danyang Zhuo
- 2022 (modified: 17 Apr 2023)
- AAAI 2022
- Readers: Everyone
Iterative Sketching and its Application to Federated Learning
Zhao Song, Zheng Yu, Lichen Zhang
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Submitted
- Readers: Everyone
On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method
Junyu Zhang, Chengzhuo Ni, Zheng Yu, Csaba Szepesvari, Mengdi Wang
- Published: 09 Nov 2021, Last Modified: 05 May 2023
- NeurIPS 2021 Spotlight
- Readers: Everyone

View all 25 publications

Co-Authors

View all 34 co-authors