代表性工作

[1] W. Tu, S. Zhou, X. Liu, Z. Cai, Y. Zhao, Y. Liu, and K. He. WAGE: Weight-Sharing Attribute-Missing Graph Autoencoder. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 47(7): 5760-5777, 2025. [CCF A]

[2] W. Tu, S. Zhou, X. Liu, X. Guo, Z. Cai, E. Zhu, and J. Cheng. Deep Fusion Clustering Network. Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021, pages: 9978-9987. [CCF A]

[3] W. Tu, R. Guan, S. Zhou, C. Ma, X. Peng, Z. Cai, Z. Liu, J. Cheng, and X. Liu. Attribute-Missing Graph Clustering Network. Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 2024, pages: 15392-15401. [CCF A]

[4] W. Tu, S. Zhou, X. Liu, Y. Liu, Z. Cai, E. Zhu, C. Zhang, and J. Cheng. Initializing Then Refining: A Simple Graph Attribute Imputation Network. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI), 2022, pages: 3494-3500. [CCF A]

[5] W. Tu, Q. Liao, S. Zhou, X. Peng, C. Ma, Z. Liu, X. Liu, Z. Cai, and K. He. RARE: Robust Masked Graph Autoencoder. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 36(10): 5340-5353, 2024. [CCF A]

[6] W. Tu, S. Zhou, X. Liu, C. Ge, Z. Cai, and Y. Liu. Hierarchically Contrastive Hard Sample Mining for Graph Self-Supervised Pretraining. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 35(11): 16748-16761, 2024. [中科院1区]

[7] W. Tu, B. Xiao, X. Liu, S. Zhou, Z. Cai, and J. Chen. Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 36(2): 3244-3257, 2025. [中科院1区]