1. 国家自然科学基金委青年项目，2025，基金委，项目负责人

2. 上海市自然科学基金项目，2025，上海市科委，项目负责人

3. 计算机软件新技术国家重点实验室课题，2025，国重实验室，项目负责人

4. 智慧电网电力调控及大数据分析，2025，苏州可朗连科科技有限公司，项目负责人

5.  面向多智能体垂域模型的智慧高校公共服务管理，2025， 上海现代高校智慧后勤研究院，项目负责人

6. 大规模分布式微服务系统漏洞检测及运维管理，2024，蚂蚁集团，项目负责人

7. 智能目标定位及用例生成方法研究，2024，蚂蚁集团，项目负责人

近五年代表性成果（*代表通讯作者）

• 1. Y Liu, Y Wang, T Zhang*, Z Shen, C Peng, L Wu, F Xia, J Jin, "A Structure-Agnostic Co-Tuning Framework for LLMs and SLMs in Cloud-Edge Systems", TheWebConf (WWW), 2026, CCF-A
• 2. Y Liu, T Zhang*, Z Shen, L Wu, S Chen, J Jin, "Towards Heterogeneity-Aware and Energy Efficient Topology Optimization for Decentralized Federated Learning in Edge Environment", IEEE Transactions on Mobile Computing, 2025, Trans汇刊
• 3. J Wang, J Jin*, L Zhang, HN Dai, A Di-Pietro, T Zhang*, "Towards Spatial-temporal Meta-hypergraph Learning for Multimodal Few-shot Fault Diagnosis", Journal of Industrial Information Integration, 2025, 中科院一区
• 4. K Wang, Z Shen*, K Wang, Z Wang, T Zhang*, "DHLight: Multi-agent Policy-based Directed Hypergraph Learning for Traffic Signal Control", ECAI, 2025, CCF-B   
• 5. J Wang, J Jin, T Zhang*, BX Chai, A Di Pietro, D Georgakopoulos, "Leveraging Auxiliary Task Relevance for Enhanced Bearing Fault Diagnosis through Curriculum Meta-learning", IEEE Sensors Journal, 2025, 中科院二区
• 6. Y Liu, T Liu, T Zhang*, Y Xia, J Wang, Z Shen, J Jin, Z Ding, FR Yu, "GRL-Prompt: Towards Prompts Optimization via Graph-Empowered Reinforcement Learning Using LLMs' Feedback", PAKDD, 2025, CCF-C
• 7. J Wang, T Zhang*, L Zhang, Y Bai, X Lim, J Jin, "HyperMAN: Hypergraph-enhanced Meta-learning Adaptive Network for Next POI Recommendation", ICME, 2025, CCF-B
• 8. J Yu, Y Tu, Z Zhang, T Zhang*, C Xu, W Wu, HJ Kang, X Zheng*, "Grey-Box Fuzzing in Constrained Ultra Large Systems: Lessons for SE Community", FSE, 2025, CCF-A
• 9. T Zhang, Y Liu, Z Shen, X Ma, P Qi, Z Ding, J Jin, "Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs", IEEE Transactions on Artificial Intelligence, 2025, Trans汇刊
• 10. K Wang, Z Shen, Z Lei, T Zhang*,  "Towards multi-agent reinforcement learning based traffic signal control through spatio-temporal hypergraphs", IEEE Transactions on Mobile Computing, 2025, Trans汇刊
• 11. X Mei, X Yuan, J Jin, Y Song, L Zhang, F Zhou, X Chen, T Zhang, "ATGCN: An Adaptive Temporal Topological Graph Convolution Network with Nodal Attention for Robot Fault Diagnosis", IEEE/ASME Transactions on Mechatronics, 2025, Trans汇刊
• 12. S Ye, H Zhang, T Zhang, X Ma, Y Jiang, "UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation", NeurIPS, 2024, CCF-A
• 13. Y Xia, T Zhang*, J Jin, Y He, F Yu, "Towards Secure and Efficient Data Scheduling for Vehicular Social Networks", IEEE Transactions on Vehicular Technology, 2024, Trans汇刊
• 14. Z Yi, Z Zhao, Z Shen, T Zhang*, "Multimodal Fusion via Hypergraph Autoencoder and Contrastive Learning for Emotion Recognition in Conversation", ACM MM, 2024, CCF-A
• 15. T Zhang, R Xu, J Zhang, Y Liu, X Chen, J Yin, X Zheng, "DSHGT: Dual-Supervisors Heterogeneous Graph Transformer-A pioneer study of using heterogeneous graph learning for detecting software vulnerabilities", ACM Transactions on Software Engineering and Methodology, 2024, CCF-A
• 16. T Zhang, Y Liu, Z Shen, R Xu, X Chen, X Huang, X Zheng, "An Adaptive Federated Relevance Framework for Spatial Temporal Graph Learning", IEEE Transactions on Artificial Intelligence, 2023, Trans汇刊
• 17. Y Liu, Z Zhao, T Zhang*, K Wang, X Chen, X Huang, J Yin, Z Shen, "Exploiting Spatial-temporal Data for Sleep Stage Classification via Hypergraph Learning", ICASSP, 2023, CCF-B
• 18. F Zhu, M Zhong, X Yang, L Li, L Yu, T Zhang, J Zhou, C Chen, F Wu, G Liu, "DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation", ICDE, 2023, CCF-A
• 19. Y Xia, T Zhang*, L Wu, X Zheng, J Jin, "Privacy-Preserving Data Scheduling in Incentive-Driven Vehicular Network", IEEE Internet of Things Journal, 2023, 中科院一区
• 20. Z Shen, J Jin, T Zhang, A Tagami, T Higashino, Q Han, "Data-driven Edge Computing Fabric for Intelligent Building Energy Management Systems", IEEE Industrial Electronics Magazine, 2022.
• 21. Y Deng, T Zhang, G Lou, X Zheng, J Jin, Q Han, "Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses", IEEE Transactions on Industrial Informatics, 2022.
• 22. T Zhang, Z Shen, J Jin, X Zheng, A Tagami, X Cao, "Achieving Democracy in Edge Intelligence: A Fog-based Collaborative Learning Scheme", IEEE Internet of Things Journal, 2021, 中科院一区
• 23. Z Shen*, T Zhang*, A Tagami, J Jin, "When RSSI Encounters Deep Learning: An Area Localization Scheme for Pervasive Sensing Systems", Journal of Network and Computer Applications, 2021, 中科院二区
• 24. T Zhang, Z Shen, J Jin, A Tagami, X Zheng, Y Yang, "ESDA: An Energy-Saving Data Analytics Fog Service Platform", ICSOC, 2020, CCF-B
• 25. T Zhang, J Jin, X Zheng, Y Yang, "Rate-adaptive fog service platform for heterogeneous IoT applications", IEEE Internet of Things Journal, 2020, 中科院一区