Zhaoxian Wu

Zhaoxian Wu Ph.D. Student Department of Electrical and Computer Engineering Cornell University E-mail: zw868 [@] cornell [.] edu Google Scholar Github Linkedin

About me

I am now pursuing my Ph.D. degree at Cornell Tech and Cornell University, fortunate to be advised by Prof. Tianyi Chen.

Prior to joining RPI and Cornell, I received the bachelor's and master's degree from Sun Yat-sen University under the supervision of Prof. Qing Ling.

Education

• Cornell Tech and Cornell University, New York, New York, USA: Ph.D. student, Electrical Engineering, 2025 - Present

• Rensselaer Polytechnic Institute, Troy, New York, USA: Ph.D. student, Electrical Engineering, 2023 - 2025

• Sun Yat-sen University , Guangzhou, Guangdong, China: M.E., Computer Science, 2020 - 2023

• Sun Yat-sen University , Guangzhou, Guangdong, China: B.E., Software Engineering, 2016 - 2020

Recent News

• May 2025: Our paper was accepted in the IEEE Transactions on Signal Processing (TSP):

  Single-Timescale Multi-Sequence Stochastic Approximation Without Fixed Point Smoothness: Theories and Applications.

• Dec 2024: Our early work back to 2020 on Byzantine-resilient federated learning has been honored with the IEEE Signal Processing Society Young Author Best Paper Award (info) (more info):

  Federated Variance-Reduced Stochastic Gradient Descent With Robustness to Byzantine Attacks.

• Sep 2024: Our paper was accepted in the Conference on Neural Information Processing Systems (NeurIPS 2024):

  Towards Exact Gradient-based Training on Analog In-memory Computing.

• Dec 2023: Our paper was accepted in the IEEE Transactions on Signal Processing (TSP):

  Byzantine-Robust Distributed Online Learning: Taming Adversarial Participants in An Adversarial Environment.

• Aug 2023: Our paper was accepted in the IEEE Transactions on Signal Processing (TSP):

  Byzantine-Resilient Decentralized Stochastic Optimization with Robust Aggregation Rules.