一、基本信息
职称：副研究员
最高学位：博士
主要研究方向：边缘计算、计算机网络（尤其是空天地一体化网络）、人工智能
导师类别（专硕、学硕、博导）：专硕、学硕
邮箱：shenzs@whut.edu.cn
二、教育及工作经历
2005.09-2009.06 武汉理工大学，电子信息工程，学士；
2010.04-2012.03 日本名古屋大学，电子信息工程，硕士,导师：Ken-ichi Sato (IEEE Life Fellow) ；
2012.04-2015.03 日本名古屋大学，电子信息工程，博士；导师：Ken-ichi Sato (IEEE Life Fellow) ；
2015.04-2016.03 日本KDDI株式会社，Global Network Operation Center，Engineer；
2016.04-2021.12 日本KDDI Research, Inc., Research Engineer；
2022.04-至今 武汉理工大学人工智能学院，副研究员。
三、近期主持的科研项目
主持省部级人才项目1项，并参与国家自然科学基金面上项目等。
四、近期代表性学术成果
在包括国际学术期刊ACM Computing Surveys、IEEE TMC、IEEE TPDS、IEEE TNSE、IEEE IEM、IEEE TAI、IEEE IoT-J、IEEE IoT-M、Elsevier Computer Networks、Elsevier FGCS、Elsevier JNCA等发表论文，同时担任IEEE JSAC、IEEE TMC、IEEE TII、IEEE TITS、ACM TIST、IEEE TNSE、IEEE IoT-J、Elsevier FGCS (申请人获得该期刊2023年度杰出审稿人奖)、Elsevier JNCA、IEEE GLOBECOM、IEEE ICC等十余种期刊及会议的长期审稿人。第80届日本电子情报通信学会学术奖励奖(2018)、ECOC2013- Best Student Paper Prize (Shortlist)、ACP2011-Best Student Paper Award（Runner-up）等。
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Zhishu Shen
Associate Professor
School of Computer Science and Artificial Intelligence
Wuhan University of Technology
Email: z_shen@ieee.org
Fields of Interest
Edge computing, computer networks (satellite-air-ground integrated networks), Internet of Things, Artificial Intelligence
Education
2005-2009, B.E., School of Electronic Engineering and Information Science, Wuhan University of Technology.
2010-2012, M.E., School of Electrical Engineering and Computer Science, Nagoya University. Supervisor: Ken-ich Sato (IEEE Life Fellow)
2012-2015, PhD, School of Electrical Engineering and Computer Science, Nagoya University. Supervisor: Ken-ich Sato (IEEE Life Fellow)
Research and Work Experience
2015-2016, Engineer, Global Network Operation Center, KDDI Cooperation
2016-2021, Research Engineer, KDDI Research, Inc.
2022-Now, Associate Professor, Wuhan University of Technology
Publications
Full List can be found at
https://scholar.google.com/citations?user=T9wXe5AAAAAJ
https://orcid.org/0000-0002-3123-4390
1. K. Wang, Z. Shen, Z. Lei, X.Liu and T.Zhang. “Towards Multi-agent Reinforcement Learning based Traffic Signal Control through Spatio-temporal Hypergraphs,” IEEE Transactions on Mobile Computing, 24 (9): 8258-8271, 2025.
2. Z. Liu, Z. Shen, P. Zhou, Q. Zheng, and J. Jin. “FedHC: A Hierarchical Clustered Federated Learning Framework for Satellite Networks,” To be appeared in IEEE Global Communications Conference (GLOBECOM), 2025.
3. A.C.P.K. Siriwardhana, J. Yuan, Z.Shen, “Optimizing handover mechanism in vehicular networks using deep learning and optimization techniques”, Computer Networks: 270 (111488), 2025.
4. Z.Lei,Z. Shen, K. Wang, Z. Wang, and T. Zhang. “DHLight: Multi- agent Policy-based Directed Hypergraph Learning for Traffic Signal Control,” in Proceedings of the European Conference on Artificial Intelligence (ECAI), 2025.
5. S. Peng, Z. Shen, Q. Zheng, X. Hou, D. Jiang, J. Yuan, and J. Jin. “APT-SAT: An Adaptive DNN Partitioning and Task Offloading Framework within Collaborative Satellite Computing Environments,” IEEE Transactions on Network Science and Engineering, Early Access, 2025.
6. D. Jiang, Z. Shen, Q. Zheng, T. Zhang, W. Xiang, and J. Jin. “Farm-LightSeek: An Edge-centric Multimodal Agricultural IoT Data Analytics Framework with Lightweight LLMs,” IEEE Internet of Things Magazine, Early Access, 2025.
7. S. Hussein, J. Yuan, Z. Shen, and M. Eldow. “FedFlex: Privacy-aware Homomorphic Encryption Federated Learning Incorporating Dual-Factor Thompson Sampling,” IEEE Internet of Things Journal. 12 (15): 30098-30112, 2025.
8. Y. Zhang, Z. Shen, D. Jiang, X. Liu, T. Zhang, Q. Zheng, and J. Jin. “CCRSat: A Collaborative Computation Reuse Framework for Satellite Edge Computing Networks,” in Proceedings of the International Conference on Computer Communications and Networks (ICCCN), 2025.
9. T. Zhang, Y. Liu,Z. Shen, X. Ma, X. Chen, X. Huang, J. Yin, and J. Jin. “Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs”. IEEE Transactions on Artificial Intelligence, 6 (6): 1513-1528, 2025.
10. Y. Liu, T. Liu, T. Zhang, Y. Xia, J. Wang, Z. Shen, J. Jin, Z. Ding and F. R. Yu. “GRL-Prompt: Towards Prompts Optimization via Graph- empowered Reinforcement Learning using LLMs’Feedback,” Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD): 426-438, 2025.
11. Q. Zheng, J. Jin, Z. Shen, L. Wu, I. Ahmad, and Y. Xiang, “Distributed Task Processing Platform for IoT Networks in Infrastructure-less Environments,” IEEE Transactions on Parallel and Distributed Systems, 35(12): 2392-2404, 2024.
12. Q. Zheng, Z. Shen, J. Jin, Z. Lei, T. Cheung and W. Xiang. “UAV- assisted Intelligent IoT Service Provisioning in Infrastructure-less Environments,” IEEE Annual Congress on Artificial Intelligence of Things (AIoT): 176-181, 2024.
13. Z. Shen，J. Jin，A. Tagami，S. Wang，Q. Li，Q. Zheng, and J. Yuan. “A Survey of Next-Generation Computing Technologies in Space-Air-Ground Integrated Networks”, 56(1): 1-40, ACM Computing Surveys, 2024.
14. S. Peng, X. Hou, Z. Shen, Q. Zheng, J. Jin, A. Tagami, and J. Yuan. “Collaborative Satellite Computing through Adaptive DNN Task Splitting and Offloading,” in Proceedings of the IEEE Symposium on Computers and Communications (ISCC), 2024.
15. Y. Liu, Z. Zhao, T. Zhang, K. Wang, X. Chen, X. Huang, J. Yin, and Z. Shen. “Exploiting Spatial-temporal Data for Sleep Stage Classification via Hy- pergraph Learning,” in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024.
16. T. Zhang, Y. Liu, Z. Shen, R. Xu, X. Chen, X. Huang, and X. Zheng. “An adaptive federated relevance framework for spatial temporal graph learning,” IEEE Transactions on Artificial Intelligence, 5(5): 2227-2240, 2024.
17. Z. Yi, Z. Zhao, Z. Shen, and T. Zhang. “Multimodal Fusion via Hypergraph Autoencoder and Contrastive Learning for Emotion Recognition in Conversation,” ACM International Conference on Multimedia (MM). pages 4341–4348, 2024.
Honors & Awards
1. Outstanding Reviewer for Future Generations Computer Systems Journal，2023.
2. Young Researcher's Award, The Institute of Electronics, Information and Communication Engineers (IEICE), 2019.
3. Young Researcher's Award in Research of Photonics Networks, Technical Committee on Photonic Network, The Institute of Electronics, Information and Communication Engineers (IEICE), 2014.
4. Best Student Paper Prize Shortlist, IEEE European Conference and Exhibition on Optical Communication (ECOC), 2013.
5. Japanese Government Scholarship, Ministry of Education, Culture, Sports, Science and Technology Japan, 2012-2015
6. Best Student Paper Award Runner up, SPIE OSA IEEE Asia Communications and Photonics Conference (ACP), 2011.
7. Nitori Scholarship, Nitori International Scholarship Foundation, 2011-2012.
8. Honor s Scholarship, Ministry of Education, Culture, Sports, Science and Technology Japan, 2010-2011.
Professional Services
[Membership] IEEE, CCF
[Journal/Conference Reviewer] IEEE Commun. Mag, IEEE Wirel. Commun, IEEE JSAC, IEEE TMC, IEEE TII, IEEE TITS, ACM TIST, IEEE TNSE, IEEE IoT-J, Elsevier FGCS, Elsevier JNCA, IEEE GLOBECOM、IEEE ICC, etc.