祁宏达
Hongda Qi

祁宏达，信息与机电工程学院讲师，硕士生导师，ACM/CCF/CAA/IEEE 会员，网络信息服务专业委员会秘书。主要研究方向是 Petri 网理论及应用、图神经网络、大语言模型和人工智能教育等。

2023 年毕业于同济大学嵌入式系统与服务计算教育部重点实验室，获工学博士学位，导师为中国工程院院士蒋昌俊教授。曾在 IEEE TSMC、IEEE TASE、IEEE TNNLS、IJCAI 等国际高水平学术期刊和会议上发表科研成果 20 余篇，其中中科院 Top 期刊 3 篇，CCF A 类会议 1 篇，CCF B 类期刊 1 篇。授权国家发明专利 2 项，参与国家重点研发专项 2 项，上海市高新技术领域项目 1 项，主持校级项目 2 项。

1. 参与国家重点研发专项2项
2. 参与上海市高新技术领域项目1项
3. 主持校级项目2项

代表性论文：

2026年：

1. T. Yue#, T. Xu, Y. Hao, G. Yang, H. Qi*, and Q. Zhao, "Dual-Channel Controllable Diffusion Network Based on Hybrid Representations," Mathematics, vol. 14, no. 7, 2026, Art. no. 1144 (SCI, JCR Q1)

2025年：

1. P. Wu, H. Qi, S. Huang, D. An, J. Lian, and Q. Zhao*, "Wave-driven Graph Neural Networks with Energy Dynamics for Over-smoothing Mitigation," Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI-25), 2025 (共同一作，CCF-A类会议)
2. Q. Zhao, G. Yang, Y. Miao, J. Lian, H. Qi*, and Z. Kou, "Adaptive sampling-based heterogeneous graph enhancement," Computing and Informatics, vol. 44, no. 3, pp. 1–25, Jun. 2025
3. Q. Zhao, J. Liu, X. Yang, H. Qi, and J. Lian, "Spatiotemporal pm2.5 forecasting via dynamic geographical graph neural network," Environmental Modelling & Software, vol. 186, p. 106351, 2025
4. D. An, Y. Yang, X. Gao, H. Qi, Y. Yang, X. Ye, M. Li, and Q. Zhao, "Reinforcement learning-based secure training for adversarial defense in graph neural networks," Neurocomputing, vol. 630, p. 129704, 2025

2024年：

1. H. Qi, J. Wang, C. Yan, and C. Jiang, "The probabilistic liveness decision method of unbounded petri nets based on machine learning," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 54, no. 2, pp. 1070–1081, 2024 (SCI, 中科院一区, TOP期刊, 影响因子8.7)
2. H. Qi, M. Guang, J. Wang, C. Yan, and C. Jiang, "Probabilistic reachability prediction of unbounded petri nets: A machine learning method," IEEE Transactions on Automation Science and Engineering, vol. 21, no. 3, pp. 3012–3024, 2024 (SCI，中科院二区, TOP期刊，影响因子5.9)
3. R. Duan, M. Guang, J. Wang, C. Yan, H. Qi, W. Su, C. Tian, and H. Yang, "Unifying homophily and heterophily for spectral graph neural networks via triple filter ensembles," Advances in Neural Information Processing Systems, vol. 37, 2024 (CCF A类会议)
4. D. An, Y. Yang, W. Liu, Q. Zhao, J. Liu, H. Qi, and J. Lian, "A secure gnn training framework for partially observable graph," Electronics, vol. 13, no. 14, p. 2721, 2024

2023年：

1. H. Qi and C. Jiang, "A perspective on petri net learning," Frontiers of Computer Science, vol. 17, no. 6, p. 106351, 2023 (CCF B类期刊, 影响因子4.2)

2022年：

1. J. Wang, H. Qi, M. Guang, C. Zhang, C. Yan, and C. Jiang, "Netlearning," IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 12, pp. 7380–7389, 2022 (SCI，中科院一区, TOP期刊，影响因子14.255)

1. 授权国家发明专利2项

• 2018年山东省优秀毕业生
• 第23期上海市属高校教师岗前培训教学技能大赛 三等奖
• 指导学生立项大学生创新创业项目校级2项

• 中国自动化学会网络计算专委会 委员/秘书处成员
• IJCAI 2025 Session Chair
• 期刊审稿专家：IEEE Transactions on Automation Science and Engineering，Internet of Things Journal，IJCAI, AAAI, Knowledge and Information Systems, Computing and Informatics等