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Wave-driven Graph Neural Networks with Energy Dynamics for Over-smoothing Mitigation
P. Wu, H. Qi, S. Huang, D. An, J. Lian, and Q. Zhao*
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI-25), 2025 (共同一作,CCF-A类会议)
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Adaptive sampling-based heterogeneous graph enhancement
Q. Zhao, G. Yang, Y. Miao, J. Lian, H. Qi*, and Z. Kou
Computing and Informatics, vol. 44, no. 3, pp. 1–25, Jun. 2025
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Spatiotemporal pm2.5 forecasting via dynamic geographical graph neural network
Q. Zhao, J. Liu, X. Yang, H. Qi, and J. Lian
Environmental Modelling & Software, vol. 186, p. 106351, 2025
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Reinforcement learning-based secure training for adversarial defense in graph neural networks
D. An, Y. Yang, X. Gao, H. Qi, Y. Yang, X. Ye, M. Li, and Q. Zhao
Neurocomputing, vol. 630, p. 129704, 2025
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The probabilistic liveness decision method of unbounded petri nets based on machine learning
H. Qi, J. Wang, C. Yan, and C. Jiang
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)
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Probabilistic reachability prediction of unbounded petri nets: A machine learning method
H. Qi, M. Guang, J. Wang, C. Yan, and C. Jiang
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)
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Unifying homophily and heterophily for spectral graph neural networks via triple filter ensembles
R. Duan, M. Guang, J. Wang, C. Yan, H. Qi, W. Su, C. Tian, and H. Yang
Advances in Neural Information Processing Systems, vol. 37, 2024 (CCF A类会议)
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A secure gnn training framework for partially observable graph
D. An, Y. Yang, W. Liu, Q. Zhao, J. Liu, H. Qi, and J. Lian
Electronics, vol. 13, no. 14, p. 2721, 2024