About me

Welcome! I am a Phd candidate in School of Data Science, the Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen).

Research Interest

  • Distributed optimization
  • Federated learning, machine learning

Recent News

  • Feb. 2024: Our paper, An Accelerated Distributed Stochastic Gradient Method with Momentum (with Shi Pu and Angelia Nedić), is online. In this paper, a simple modification of DSGT leads to vast improvement.
  • Dec. 2023: I won the Duan Yong Ping Meritorious Research Award and received the Guotai Junan Securities Scholarship at CUHK-shenzhen.
  • Aug. 2023: I gave a short talk about our recent results on distributed stochastic gradient methods at the mini symposium of ICIAM 2023.
  • Aug. 2023: I passed the thesis proposal and became a PhD candidate!