CV

Education

• B.S. in Automation, Anhui University, 2013-2017
• M.S. in Control Science and Control Engeneering, Southeast University, 2017-2020
• Ph.D in Control Science and Control Engeneering, Zhejiang University, 2020-2024 (expected)

Exchange

• 2023.02 - 2023.08: Joint PhD student, ETH Zurich
  • ETH Zurich, Switzerland
  • Working on distributed adaptive minimax optimization in Optimization and Decision Intelligence (ODI) group
  • Supervisor: Niao He

Publications

Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes

R-FAST: Robust Fully-Asynchronous Stochastic Gradient Tracking over General Topology

PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds

Distributed Optimization with Personalization: A Flexible Algorithmic Framework

Asynchronous Byzantine-Robust Stochastic Aggregation with Variance Reduction for Distributed Learning

A Loopless Distributed Algorithm for Personalized Bilevel Optimization

On the Computation-Communication Trade-Off with A Flexible Gradient Tracking Approach

Stochastic Gradient Tracking Methods for Distributed Personalized Optimization over Networks

Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology

Delay Compensation-Based Time Synchronization Under Random Delays: Algorithm and Experiment

Detection Performance in m-ary Relay Trees with Link Failures and Unreliable Communications

Talks

Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD

July 17, 2022

Short oral at 2022 International Conference on Machine Learning (ICML), Baltimore, MD, USA

Distributed Stochastic Optimization: Heterogeneous Datasets and Model

December 02, 2022

Talk at 2022 Zhejiang University National Academic Forum for PhD Candidates, Hangzhou, China

Teaching

Principles of Automatic Control

Modern Control Theory

Distributed Control and Optimization