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Zheng Lin (林政) PhD Candidate
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Biography
Zheng Lin is currently a third-year PhD student at the Department of Electrical and Electronic Engineering, The University of Hong Kong, advised by Prof. Xianhao Chen and Prof. Kaibin Huang. Before that, he received the M.E. degree from Fudan University in 2023, advised by Prof. Zhe Chen and Prof. Yue Gao, and B.E. degree from Fuzhou University in 2020.
[Collaboration] I enjoy making friends! If you are interested in fostering a friendship or collaborating with me, please feel free to reach out (wechat: lz891945739 or email: linzheng@eee.hku.hk / zhenglin0425a@163.com). I look forward to hearing from you!
Research Interests
Wireless Networking, Edge Intelligence, Distributed Edge Learning.
Selected Publications (Citations: 1700+) (J=Journal, C=Conference, S=In Submission)
(* denotes corresponding author, full publication list can be found in [Google Scholar])
Journal Papers:
- [S-1.3 Arxiv] Z. Lin, Z. Chen, X. Chen, W. Ni, and Y. Gao, “HASFL: A Heterogeneity-Adaptive Split Federated Learning over Edge Computing Systems,” IEEE Transactions on Mobile Computing, Under Review.
- [S-1.2 Arxiv] Z. Lin, Y. Zhang, Z. Chen, Z. Fang, X. Chen, P. Vepakomma, W. Ni, J. Luo, and Y. Gao, “HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models,” IEEE Transactions on Mobile Computing, Under Review.
- [S-1.1 Arxiv] Z. Sun, X. Guan, Z. Lin*, Z. Fang, X. Cai, Z. Chen, F. Liu, H. Cui, J. Xiong, W. Ni, and J. Luo, “LOPInfer: A High-Performance Local-Operator Parallel Inference System for Mobile Edge Computing Services,” IEEE Transactions on Services Computing, Under Review.
- [J-1.11 CM’25] Z. Lin, G. Qu, Q. Chen, X. Chen, Z. Chen, and K. Huang, “Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities,” IEEE Communications Magazine, 2025.
- [J-1.10 TON’25] Z. Lin, G. Qu, W. Wei, X. Chen, and K. K. Leung, “AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks,” IEEE/ACM Transactions on Networking, 2025.
- [J-1.9 TMC’25] Z. Zhang, T. Duan, Z. Lin*, D. Huang, Z. Fang, Z. Sun, L. Xiong, H. Liang, H. Cui, and Y. Cui, “State-Aware Perturbation Optimization for Robust Deep Reinforcement Learning,” IEEE Transactions on Mobile Computing, 2025.
- [J-1.8 TMC’25] Z. Lin, Y. Zhang, Z. Chen, C. Wu, Z. Fang, X. Chen, Y. Gao, and J. Luo, “LEO-Split: A Semi-Supervised Split Learning Framework over LEO Satellite Networks,” IEEE Transactions on Mobile Computing, 2025.
- [J-1.7 TMC’25] Z. Lin, W. Wei, Z. Chen, C. Lam, X. Chen, Y. Gao, and J. Luo, “Hierarchical Split Federated Learning: Convergence Analysis and System Optimization,” IEEE Transactions on Mobile Computing, 2025.
- [J-1.6 TMC’24] Z. Lin, Z. Chen, Z. Fang, X. Chen, X. Wang, and Y. Gao, “FedSN: A Federated Learning Framework over Heterogeneous LEO Satellite Networks,” IEEE Transactions on Mobile Computing, 2024.
- [J-1.5 TMC’24] Z. Lin, G. Zhu, Y. Deng, X. Chen, Y. Gao, K. Huang, and Y. Fang, “Efficient Parallel Split Learning over Resource-constrained Wireless Edge Networks,” IEEE Transactions on Mobile Computing, 2024.
- [J-1.4 WCM’24] Z. Lin, G. Qu, X. Chen, and K. Huang, “Split Learning in 6G Edge Networks,” IEEE Wireless Communications, 2024.
- [J-1.3 TWC’23] Z. Lin, L. Wang, J. Ding, Y. Xu, and B. Tan, “Tracking and Transmission Design in Terahertz V2I Networks,” IEEE Transactions on Wireless Communications, 2023.
- [J-1.2 TWC’22] Z. Lin, L. Wang, B. Tan, and X. Li, “Spatial-spectral Terahertz Networks,” IEEE Transactions on Wireless Communications, 2022.
- [J-1.1 CL’22] Z. Lin, L. Wang, J. Ding, B. Tan, and S. Jin, “Channel Power Gain Estimation for Terahertz Vehicle-to-Infrastructure Networks,” IEEE Communications Letters, 2022.
Conference Papers:
- [C-1.2 WASA’25] Z. Lin, Y. Zhang, Z. Chen, Z. Fang, Y. Yang, G. Zhang, H. Yang, C. Wu, X. Chen, and Y. Gao, “ESL-LEO: An Efficient Split Learning Framework over LEO Satellite Networks,” Proceedings of the International Conference on Wireless Artificial Intelligent Computing Systems and Applications, 2025. [Best Paper Award]
- [C-1.1 ICC’23] Z. Lin, L. Wang, J. Ding, Y. Xu, and B. Tan, “V2I-aided Tracking Design,” Proceedings of the IEEE International Conference on Communications, 2023.
Awards and Honors
- WASA 2025 Best Paper Award (First-author, 3/283), 2025
- HKU Teaching Assistant Award, 2025
- Research Postgraduate Scholarship, 2023–2026
- Certificate in Teaching and Learning Higher Education, 2023
- Shanghai Outstanding Graduate, 2023
- Fudan Outstanding Graduate, 2023
- Postgraduate National Scholarship (Ranking 1/165), 2022–2023
- Outstanding Postgraduate Scholarship, 2020–2021, 2021–2022
- Outstanding Undergraduate Scholarship, 2016–2017, 2017–2018, 2018–2019
Professional Services
Committee Member: Young Professional in IEEE Vehicular Technology Society (VTS) Ad Hoc Committee
Technical Program Committee Member:
- NeurIPS
- ICML
- ICLR
- AAAI
- ACM MM
- IEEE ICC
- IEEE GLOBECOM
- IEEE VTC
- IEEE WCNC
- IEEE ICCC
Journal Reviewer:
- IEEE Journal on Selected Areas in Communications
- IEEE/ACM Transactions on Networking
- IEEE Transactions on Mobile Computing
- IEEE Transactions on Wireless Communications
- IEEE Transactions on Neural Networks and Learning Systems
- IEEE Transactions on Cognitive Communications and Networking
- IEEE Transactions on Services Computing
- IEEE Transactions on Network Science and Engineering
- IEEE Transactions on Network and Service Management
- IEEE Transactions on Consumer Electronics
- IEEE Transactions on Sustainable Computing
- IEEE Transactions on Computational Social Systems
- IEEE Transactions on Vehicular Technology
- ACM Transactions on Intelligent Systems and Technology
- IEEE Internet of Things Journal
- ACM Computing Surveys
- IEEE Wireless Communications
- IEEE Communications Magazine
- IEEE Wireless Communications Letters
- IEEE Communications Letters
- IEEE Network