Hi! This is Weijie, you can also call me Vinny. I am currently a first-year PhD student at The University of Hong Kong, under the supervision of Prof. Edith C.H. Ngai. I received the Bachelor and Master degree in Computer Technology in Sun Yat-sen University under the supervision of Prof. Xiaoxi Zhang, and Prof. Xu Chen. My research strives to shed light on the blackbox of deep learning with solid theoretical analysis and delicate algorithm design, addressing practical problems in deep learning and LLM implementations.

Research interests

• Networked machine learning (federated learning, distributed machine learning)
• Machine learning theory (model generalization analysis, convergence analysis, etc.)

Recently, I am also enthusiatic about the LLM implementation and applications. I am always open to discussion and collaboration, if you are interested in my research area and paper, you are very welcomed to drop me an email.

Recent News

• [May. 2025] One paper about accelerating gradient computation in personalized federated learning is accepted to Computer Network! Congrats Ziwei!

• [May. 2025] One paper about pipeline acceleration in vertical federated learning is accepted to IWQoS 2025! Congrats Tian!

• [Mar. 2025] Our work about investigating and tackling over-correction phenomenon in federated learning is accepted to ICDCS 2025! See you in Scotland! (Link)

• [Dec. 2024] One paper about fine-grained aggregation in Mixture-of-Expert has won the Best Student Paper Award in MSN 2024 (Link)! Congrats Ziwei!

• [Sep. 2024] Start my Ph.D. at The University of Hong Kong.