Hi there! I am pursuing the Ph.D. degree with the College of Control Science and Engineering, Zhejiang University, Hangzhou, China, supervised by Prof. Jinming Xu. Previously, I received the B.Eng. degree in automation from the China University of Petroleum (East China), Qingdao, China, in 2020. 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, large-scale optimization, security and privacy. After graduation this year, I will join Huawei as a researcher and work on large model training, with Distributed Parallel Computing Lab, Central Software Institute, 2012 Labs.

Education Background

• Sep. 2020 - present: Ph.D. Student

  NeSC Group, Zhejiang University. Advisor: Prof. Jinming Xu

• Jun. 2024 - Jan. 2025, Visiting Ph.D. Student

  A*STAR Centre for Frontier AI Research (CFAR), Singapore. Advisor: Prof. Joey Tianyi Zhou

• Sep. 2016 - Jun. 2020, B.S. Student

  China University of Petroleum (East China)

Recent News

• 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 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 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) ! (CCF-A, acceptance rate: 14%)
• Jul. 2023: Our paper, Robust Fully-Asynchronous Methods for Distributed Training over General Architecture, is online!
• Jul. 2023: Our paper, Asynchronous Byzantine-Robust Stochastic Aggregation with Variance Reduction for Distributed Learning, has been accepted by the 62nd IEEE Conference on Decision and Control (CDC) !
• May. 2022: Our paper, Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology, has been accepted by the 39th International Conference on Machine Learning (ICML 2022) ! (CCF-A, acceptance rate: 22%)

Awards

• Outstanding PhD Student, Zhejiang University, China, 2023
• Outstanding Graduate of Shandong Province, China, 2020
• National Scholarship for undergraduate student, China, 2019
• First Prize in the National Undergraduate Electronic Design Competition, China, 2019
• First Prize in the National Undergraduate Mathematics Competition, China, 2017

Scenery in Life

• ———- Jeju, South Korea ———-

• ———- Marina Bay Sands, Singapore ———-

• ———- Hangzhou, China ———-