Biography
Zheng Lin will join the Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, as a Postdoctoral Researcher in August 2026, working with Prof. Symeon Chatzinotas. He received his Ph.D. degree from The University of Hong Kong in 2026, supervised by Prof. Xianhao Chen and co-supervised by Prof. Kaibin Huang. Before that, he received the M.E. degree from Fudan University in 2023, supervised by Prof. Yue Gao and co-supervised by Prof. Zhe Chen, and B.E. degree from Fuzhou University in 2020. Furthermore, he works closely with Prof. Wei Ni and Prof. Jun Luo.
I am always open to exploring new ideas and actively welcome academic collaborations. Beyond research, I genuinely enjoy connecting with fellow scholars and making new friends. Please feel free to reach out to me via email: zhenglin@ieee.org. Thank you very much!
Research Interests
Wireless Networking, Edge Intelligence, Distributed Edge Learning.
Selected Publications (Citations: 3400+) (J=Journal, C=Conference, S=In Submission)
( † denotes co-first author, * denotes corresponding author)
Journal Papers:
- [S-1.8 Arxiv] Z. Lin, O. Aouedi, Z. Fang, W. Ni, S. Chatzinotas, and X. Chen, “GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems,” IEEE Transactions on Mobile Computing (TMC), Under Review.
- [S-1.7 Arxiv] Z. Lin, X. Hu, Y. Zhang, Z. Chen, Z. Fang, X. Chen, A. Li, P. Vepakomma, and Y. Gao, “SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models,” IEEE Transactions on Computers (TC), Under Review.
- [S-1.6 Arxiv] Z. Guo, L. Zeng, X. Du, Z. Cai, Z. Lin*, W. Ni, J. Luo, and S. Chatzinotas, “AUDIT: Utility-Aware Dynamic Truth Inference for Pattern Recognition with Noisy Human Annotations,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Under Review.
- [S-1.5 Arxiv] X. Du, Z. Bao, Z. Lin*, J. Zhou, J. Lian, J. Luo, W. Ni, and S. Chatzinotas, “TIGA: Trajectory-Injected Generative Attack against Black-box AIGC Detectors,” IEEE Transactions on Dependable and Secure Computing (TDSC), Under Review.
- [S-1.4 Arxiv] X. Guan, Z. Zhang, Z. Lin*, Z. Sun, T. Duan, Z. Fang, R. Wang, H. Cui, W. Ni, J. Luo, and Y. Liu, “FluxShard: Motion-Aware Feature Cache Reuse for Collaborative Video Analytics in Mobile Edge Computing,” IEEE Transactions on Mobile Computing (TMC), Under Review.
- [S-1.3 Arxiv] W. Zhuang, W. Xie, Q. Zhang, X. Du, Z. Lin*, J. Zhou, Z. Fang, C. Pun, W. Ni, and J. Luo, “Physically-Induced Atmospheric Adversarial Perturbations: Enhancing Transferability and Robustness in Remote Sensing Image Classification,” IEEE Transactions on Geoscience and Remote Sensing (TGRS), Major Revision.
- [S-1.2 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 (TSC), Major Revision.
- [S-1.1 Arxiv] Z. Bao, X. Du, Z. Lin*, J. Zhou, Z. Fang, Y. Zhang, Z. Chen, C. Pun, W. Ni, and J. Luo, “SIDeR: Semantic Identity Decoupling for Unrestricted Face Privacy,” IEEE Transactions on Dependable and Secure Computing (TDSC), Under Review.
- [S-1.16 TMC'26] 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 (TMC), 2026.
- [S-1.15 TMC'26] 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 (TMC), 2026.
- [S-1.14 TCE'26] X. Yang, S. Prajapat, and Z. Lin*, “Threat Aware Task Offloading and Caching for Secure UAV Assisted Vehicular Consumer Electronics,” IEEE Transactions on Consumer Electronics (TCE), 2026.
- [S-1.13 TMC'26] Z. Sun, X. Guan, Z. Lin*, Y. Qing, H. Song, Z. Fang, Z. Chen, F. Liu, H. Cui, W. Ni, and J. Luo, “RRTO: A High-Performance Transparent Offloading System for Model Inference in Mobile Edge Computing,” IEEE Transactions on Mobile Computing (TMC), 2026.
- [S-1.12 TMC'26] T. Duan, Z. Zhang, Z. Lin*, S. Guo, X. Guan, G. Wu, Z. Fang, H. Meng, X. Du, J. Zhou, H. Cui, J. Luo, and Y. Gao, “LLM-Driven Stationarity-Aware Expert Demonstrations for Multi-Agent Reinforcement Learning in Mobile Systems,” IEEE Transactions on Mobile Computing (TMC), 2026.
- [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 (CM), 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 (TON), 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 (TMC), 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 (TMC), 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 (TMC), 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 (TMC), 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 (TMC), 2024.
- [J-1.4 WCM'24] Z. Lin, G. Qu, X. Chen, and K. Huang, “Split Learning in 6G Edge Networks,” IEEE Wireless Communications (WC), 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 (TWC), 2023.
- [J-1.2 TWC'22] Z. Lin, L. Wang, B. Tan, and X. Li, “Spatial-spectral Terahertz Networks,” IEEE Transactions on Wireless Communications (TWC), 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 (CL), 2022.
Conference Papers:
- [C-1.5 MM'26] H. Li, Z. Lin†, M. Yang, Z. Lin, J. Yang, Z. Fang, Q. Zhang, Z. Kang, J. Li, L. Li, M. Hong, and S. Zhu, “PSL-RGHA: Parallel Split Learning with Reference Gradient Half-Space Alignment for Mitigating Gradient Divergence,” ACM International Conference on Multimedia (ACM MM), 2026.
- [C-1.4 EMNLP'26] H. Zhang, X. Mao, G. Dong, Z. Li, X. Su, K. Chen, J. Yang, and Z. Lin*, “MEMMARK: State-Evolution Attribution Watermarking for Agent Long-Term Memory Systems,” Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026.
- [C-1.3 CCSB'26] Y. Lu, Z. Fang, P. Qiao, Z. Lin*, J. Yang, Y. Zhang, P. L. Yee, Z. Chen, J. Luo, “Conflict-Aware Federated Fine-Tuning of Large Language Models with Mixture-of-Experts,” International Conference on Computer Science and Blockchain (CCSB), 2026. [Best Paper Award]
- [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,” International Conference on Wireless Artificial Intelligent Computing Systems and Applications (WASA), 2025. [Best Paper Award]
- [C-1.1 ICC'23] Z. Lin, L. Wang, J. Ding, Y. Xu, and B. Tan, “V2I-aided Tracking Design,” IEEE International Conference on Communications (ICC), 2023.
Awards and Honors
- CCSB 2026 Best Paper Award (Corresponding author), 2026
- Huawei Top Minds Program, 2026.
- Huawei Chaspark Academic Hotspot (Featured Research), 2026
- China Hi-Tech Fair Outstanding Science and Technology Innovation Award, 2025
- China Institute of Communications Smart Tower Outstanding Innovation Practice, 2025
- 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
- Publicity Chair in IEEE International Conference on Cloud and Big Data Computing (CBDCom), 2026
- Technical Program Committee Chair in International Conference on Imaging Processing for Medical-Oriented Recognition (IPOR), 2026
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
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