MACHINE LEARNING GROUP

RPTU KAISERSLAUTERN-LANDAU

Puyu Wang

Alexander-von-Humboldt Research Fellow

Bio

Since Feb 2025, Puyu Wang has been an Alexander-von-Humboldt Research Fellow at RPTU Kaiserslautern-Landau, working with Marius Kloft. Previously, she was a postdoctoral fellow at Hong Kong Baptist University (07/2023-02/2025) and the City University of Hong Kong (07/2021-07/2023), supervised by Ding-Xuan Zhou and Jun Fan. From 2017-2021, she was a PhD student in Statistics at Northwest University, China, headed by Hai Zhang. She was co-advised by Yiming Ying, whose machine learning group at SUNY Albany she visited from 11/2019 to 11/2020.

Research interests

Puyu Wang's research interests lie in the areas of statistical learning theory and machine learning, with emphasis on the following topics: deep learning theory, optimization and differential privacy.

Appointments and scientific matters
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Office
RPTU, Building 36, Room 335 - 67663 Kaiserslautern

Curriculum Vitae

Education

2021
Doctoral Degree in Statistics, Northwest University, China
2017
Master in Statistics, Northwest University, China
2014
Bachelor in Financial Mathematics and Statistics, Northwest University, China

Professional Experience

Since Feb 2025
Alexander von Humboldt Research Fellow, RPTU Kaiserslautern-Landau
2023-2025
Postdoctoral Researcher, Department of Mathematics, Hong Kong Baptist University
2021-2023
Postdoctoral Researcher, Liu Bie Ju Centre for Mathematical Sciences, City University of Hong Kong
2019-2020
Visiting student, State University of New York at Albany

Honors

2024
Humboldt Research Fellowship for Postdocs, Alexander von Humboldt Foundation
2020
National Scholarship for PhD student, Ministry of Education of P.R. China

Activities

1. Conference Reviewer for AISTATS (2023-2025), ICLR (2024-2025), ICML (2022-2025), IJCAI (2021-2023), NeurIPS (2022-2024), ECMLPKDD (2023), ECAI(2025)
2. Journal Reviewer for TPAMI, TNNLS, TMLR, Neurocomputing, TCS, MFC
3. Session Chair for International Conference on Econometrics and Statistics 2024

Key publications

1. Puyu Wang, Yunwen Lei, Yiming Ying and Hai Zhang. Differentially Private SGD with Non-smooth Losses. Applied and Computational Harmonic Analysis, 56:306-336, 2022.
2. Puyu Wang, Yunwen Lei, Yiming Ying and Ding-Xuan Zhou. Stability and Generalization for Markov Chain Stochastic Gradient Methods. Advances in Neural Information Processing Systems (NeurIPS), 2022.
3. Puyu Wang, Yunwen Lei, Di Wang, Yiming Ying and Ding-Xuan Zhou. Generalization Guarantees of Gradient Descent for Shallow Neural Networks. Neural Computation, 37(2):344-402, 2025.