Education

• Ph.D in Electrical and Electronic Engineering, The University of Hong Kong, 2024-Present
• M.E. in Computer Engineering, Sun Yat-sen University, 2021-2024
• B.E. in Communication Engineering, Sun Yat-sen University, 2017-2021

Skills and Interests

• Programming: Python, Matlab, LaTeX
• Languages: Mandarin(Native), Cantonese(Native), English (IELTS: 7.5)
• Research Interests:
  • Networked Machine Learning (Federated Learning, Distributed Machine Learning)
  • Deep Learning Theory
  • Edge Computing and LLM implementation

Selected Publications

TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction

Weijie Liu, Ziwei Zhan, Carlee Joe-Wong, Edith Ngai, Jingpu Duan, Deke Guo, Xu Chen, and Xiaoxi Zhang, IEEE ICDCS 2025

DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Datasets

Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou and Xu Chen, IEEE Transactions on Mobile Computing

AdaCoOpt: Leverage the interplay of batch size and aggregation frequency for federated learning

Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, and Xu Chen, IEEE IWQoS 2023 (Best Paper Candidate, top 7 in 264 submissions)

Academic Service

• Journal Reviewer: IEEE TMC, IEEE TSC, IEEE TNSE, IEEE Network Magazine
• Conference Reviewer: ACM KDD 2024

Award

• Best Student Paper Award in International Conference on Mobility, Sensing and Networking (MSN 2025)
• Best Paper Candidate in IEEE/ACM International Symposium on Quality of Service (IWQoS 2023)
• Excellent Postgraduate First Prize Scholarship in Sun-Yat-sen University (2021, 2022, 2023)