• Hong Kong University of Science and Technology (HKUST), Hong Kong, Sep. 2020 - Aug. 2024
  Ph.D. in the Department of Electronic and Computer Engineering, supervised by Prof. Ling Shi (IEEE Fellow).
• KTH Royal Institute of Technology, Stockholm, Sweden, Aug. 2023 - Dec. 2023
  Visiting student in the School of Electrical Engineering and Computer Science, hosted by Prof. Karl Henrik Johansson (IEEE Fellow).
• Huazhong University of Science and Technology (HUST), Wuhan, Hubei, China, Sep. 2016 - Jul. 2020
  Bachelor in Electronic and Information Engineering.

Working Experience

• Huawei, Shanghai, China, Dec. 2024 - present
  Engineer, Wireless Technology Lab, 2012.
• Southern University of Science and Technology, Shenzhen, China, Nov. 2024
  Visiting Scholar, School of System Design and Intelligent Manufacturing.
• Hong Kong University of Science and Technology, Hong Kong, Sep. 2024 - Nov. 2024
  Postdoctoral Researcher, Department of Electronic and Computer Engineering.

Research Interests

• Multi-agent system
• Distributed optimization
• Communication Efficiency
• Adaptive control
• Privacy protection

I keep open-minded to new problem domains and look forward to academic collaboration. Email me if you’d like to discuss. Email: eehwei@ust.hk

Industrial Projects

Ultra-Reliable and Low Latency Communications in 5G Networks (Jan. 2023 – present)

Learning for Improving Primal Heuristics of Mixed Integer Programming Problems (Jan. 2021 – Dec. 2021)

• Propose a Bi-layer Prediction-based Reduction Branch (BP-RB) framework to speed up the process of finding a high-quality feasible solution for large-scale combinatorial optimization problems.
• Propose a graph convolutional network (GCN)-based problem reduction method that removes unnecessary variables and constraints to significantly reduce the required memory and time.
• Evaluate the BP-RB on representative NP-hard problems.
• Applications: Resource allocation in wireless communication networks