Zehan Zhu’s Homepage
Hi there! I am a senior researcher at Central Software Institute, 2012 Labs, Huawei Technologies Co., Ltd., focusing on acceleration technologies for Large Language Models (LLMs) Inference. Prior to joining Huawei, I obtained my Ph.D. degree from Zhejiang University, supervised by Prof. Jinming Xu. Previously, I received my B.S. degree from China University of Petroleum (East China). I was a visiting Ph.D. student with the A*STAR Centre for Frontier AI Research (CFAR), Singapore, supervised by Prof. Joey Tianyi Zhou. My research interests include Distributed Machine Learning, LLMs Inference, Security and Privacy.
Education Background
2020.09—2025.09: Ph.D. Student
Zhejiang University
2024.06—2025.01: Visiting Ph.D. Student
A*STAR Centre for Frontier AI Research (CFAR), Singapore
2016.09—2020.06: B.S. Student
China University of Petroleum (East China)
Recent News
- Dec. 2025: Our paper, Bandwidth-Aware Network Topology Optimization for Decentralized Learning, is online !
- Oct. 2025: I have joined Huawei 2012 Labs as a researcher, working on acceleration technologies for Large Language Models (LLMs) Inference !
- Sep. 2025: I have successfully completed my Ph.D. defense and received my doctoral degree !
- Apr. 2025: Our paper, Dyn-D2P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee, has been accepted by the 34th International Joint Conference on Artificial Intelligence (IJCAI 2025) ! (CCF-A, acceptance rate: 19.3%)
- Jun. 2024: Our paper, R-FAST: Robust Fully-Asynchronous Stochastic Gradient Tracking over General Topology, has been accepted for publication in IEEE Transactions on Signal and Information Processing over Networks (IEEE TSIPN) as Regular Paper !
- May. 2024: Our paper, PerfTop: Towards Performance Prediction of Distributed Learning over General Topology, has been accepted for publication in Journal of Parallel and Distributed Computing (JPDC) as Regular Paper ! (CCF-B)
- Apr. 2024: Our paper, PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds, has been accepted by the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024) ! (CCF-A, acceptance rate: 14%)
Awards
- Outstanding PhD Student, Zhejiang University, China, 2023, 2024
- Outstanding Graduate of Shandong Province, China, 2020
- National Scholarship for undergraduate student, China, 2019
- First Prize in the National Undergraduate Mathematics Competition, China, 2017
