Wenbin Wang (王文彬)

prof_pic.jpg

SIST 1D-307

ShanghaiTech University

Shanghai, China

I am currently a second-year Master’s student in Computer Science and Technology at the School of Information Science and Technology at ShanghaiTech University, Shanghai, China. Since 2023, I have had the privilege of joining Data Science And Intelligence Lab (DSAIL), where I am supervised by Prof. Ziping Zhao, and Neuromorphic Sensing and Computing Lab, where I am supervised by Prof. Xavier Lagorce. Before this, I completed my Bachelor’s degree in Economics with a focus on Economic Statistics at the College of Economics and Management, Huazhong Agricultural University, Wuhan, China, in 2022. During my undergraduate studies, I was fortunate to work with Prof. Zeyu Zhang on macro-economics research.

My current research interests include optimization, statistics, and reinforcement learning, with a specific focus on the context of multi-agent systems where agents interact strategically.

[Highlight] I am actively seeking PhD opportunities starting in Fall 2026. Please feel free to reach out to me at - wangwb2023@shanghaitech.edu.cn if you would like to collaborate or discuss any of my work.

news

May 02, 2025 📣 High-Dimensional Tensor Regression With Oracle Properties has been accepted to ICML 2025! Thanks to my wonderful collaborators. See you around at Vancouver Convention Center this July!
Apr 12, 2025 📣 Achieving Oracle Rate for Large Covariance Matrix Estimation From Quadratic Measurements has been accepted to ISIT 2025! Thanks to my wonderful collaborators.
Jan 21, 2025 📣 Poisoning Attacks and Defenses to Federated Unlearning has been accepted to WWW 2025! Thanks to my wonderful collaborators.

selected publications

  1. ISIT
    Achieving Oracle Rate for Large Covariance Matrix Estimation From Quadratic Measurements
    Wenbin Wang, and Ziping Zhao
    In , 2025
  2. WWW
    Poisoning Attacks and Defenses to Federated Unlearning
    Wenbin Wang*, Qiwen Ma*, Zifan Zhang, Yuchen Liu, Zhuqing Liu, and Minghong Fang
    In , 2025
  3. ICML
    High-Dimensional Tensor Regression With Oracle Properties
    Wenbin Wang, Yu Shi, and Ziping Zhao
    In , 2025