Hi there! I am a researcher at Parallel Distributed Computing Laboratory, 2012 Labs, Huawei Technologies Co., Ltd., focusing on acceleration technologies for Large Language Models (LLMs) Inference and Reinforcement Learning with Human Feedback (RLHF) for LLMs. 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, 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, DP-CSGP: Differentially Private Stochastic Gradient Push with Compressed Communication, is online !
• 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) !
• 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 !
• 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) !

Reviewer

• IEEE Transactions on Signal and Information Processing over Networks
• IEEE Transactions on Cloud Computing

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