Zheng Lin (林政) Incoming Postdoctoral Researcher Interdisciplinary Centre for Security, Reliability and Trust (SnT) University of Luxembourg, Luxembourg Email: zhenglin@ieee.org [Google Scholar] [Biography] | [Research Interests] | [Selected Publications] | [Awards and Honors] [Professional Services]

Biography

Zheng Lin will join the Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, as a Postdoctoral Researcher in August 2026. 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 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: 3200+) (J=Journal, C=Conference, S=In Submission)

( ^† denotes co-first author, * denotes corresponding author)

Journal Papers:

• [S-1.8 Arxiv] Z. Lin, O. Aouedi, W. Ni, S. Chatzinotas, and X. Chen, “GAPSL: A Gradient-Aligned Parallel Split Learning on Heterogeneous Data,” IEEE Transactions on Parallel and Distributed Systems (TPDS), 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-1.15 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-1.14 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-1.13 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-1.3 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,” Proceedings of ACM International Conference on Multimedia (ACM MM), 2026.
• [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 (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,” Proceedings of the IEEE International Conference on Communications (ICC), 2023.

Awards and Honors

• 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 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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