| Deep graph clustering via dual correlation reduction Y Liu, W Tu, S Zhou, X Liu, L Song, X Yang, E Zhu Proceedings of the AAAI conference on artificial intelligence 36 (7), 7603-7611, 2022 | 152 | 2022 |
| Simple contrastive graph clustering Y Liu, X Yang, S Zhou, X Liu IEEE Transactions on Neural Networks and Learning Systems, 2022 | 87 | 2022 |
| Hard Sample Aware Network for Contrastive Deep Graph Clustering Y Liu, X Yang, S Zhou, X Liu, Z Wang, K Liang, W Tu, L Li, J Duan, ... AAAI 2023, 2022 | 74 | 2022 |
| Knowledge Graph Contrastive Learning based on Relation-Symmetrical Structure K Liang, Y Liu, S Zhou, X Liu, W Tu, X Yang IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2022 | 67* | 2022 |
| Cluster-Guided Contrastive Graph Clustering Network X Yang, Y Liu, S Zhou, S Wang, W Tu, Q Zheng, X Liu, L Fang, E Zhu Proceedings of the 37th AAAI conference on artificial intelligence (AAAI-23), 2023 | 56 | 2023 |
| A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and Open Resource Y Liu, J Xia, S Zhou, X Yang, K Liang, C Fan, Y Zhuang, SZ Li, X Liu, K He arXiv preprint arXiv:2211.12875, 2022 | 44 | 2022 |
| Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning X Yang, X Hu, S Zhou, X Liu, E Zhu IEEE Transactions on Neural Networks and Learning Systems, 2022 | 41 | 2022 |
| Dink-Net: Neural Clustering on Large Graphs Y Liu, K Liang, J Xia, S Zhou, X Yang, X Liu, SZ Li Proceedings of the 40th International Conference on Machine Learning (ICML-23), 2023 | 31 | 2023 |
| Mixed Graph Contrastive Network for Semi-Supervised Node Classification X Yang, Y Liu, S Zhou, X Liu, E Zhu ACM Transactions on Knowledge Discovery from Data, 2022 | 25* | 2022 |
| Contrastive deep graph clustering with learnable augmentation X Yang, Y Liu, S Zhou, S Wang, X Liu, E Zhu arXiv preprint arXiv:2212.03559, 2022 | 21 | 2022 |
| DealMVC: Dual Contrastive Calibration for Multi-view Clustering X Yang, J Jin, S Wang, K Liang, Y Liu, Y Wen, S Liu, S Zhou, X Liu, E Zhu Proceedings of the 31th ACM International Conference on Multimedia (ACMMM-23), 2023 | 20 | 2023 |
| Improved dual correlation reduction network Y Liu, S Zhou, X Liu, W Tu, X Yang arXiv preprint arXiv:2202.12533, 2022 | 20 | 2022 |
| A Survey of Deep Graph Clustering: Taxonomy Y Liu, J Xia, S Zhou, S Wang, X Guo, X Yang, K Liang, W Tu, ZS Li, X Liu Challenge, and Application, 2022 | 18 | 2022 |
| CONVERT: Contrastive Graph Clustering with Reliable Augmentation X Yang, C Tan, Y Liu, K Liang, S Wang, S Zhou, J Xia, SZ Li, X Liu, E Zhu Proceedings of the 31th ACM International Conference on Multimedia (ACMMM-23), 2023 | 15 | 2023 |
| SARF: Aliasing Relation–Assisted Self-Supervised Learning for Few-Shot Relation Reasoning L Meng, K Liang, B Xiao, S Zhou, Y Liu, M Liu, X Yang, X Liu, J Li IEEE Transactions on Neural Networks and Learning Systems, 2024 | 9 | 2024 |
| Reinforcement Graph Clustering with Unknown Cluster Number Y Liu, K Liang, J Xia, X Yang, S Zhou, M Liu, X Liu, SZ Li Proceedings of the 31th ACM International Conference on Multimedia (ACMMM-23), 2023 | 9 | 2023 |
| Efficient Multi-View Graph Clustering with Local and Global Structure Preservation Y Wen, S Liu, X Wan, S Wang, K Liang, X Liu, X Yang, P Zhang Proceedings of the 31th ACM International Conference on Multimedia (ACMMM-23), 2023 | 6 | 2023 |
| Topological structure learning for weakly-supervised out-of-distribution detection R He, R Li, Z Han, X Yang, Y Yin Proceedings of the 31st ACM International Conference on Multimedia, 4858-4866, 2023 | 5 | 2023 |
| Cross-gate mlp with protein complex invariant embedding is a one-shot antibody designer C Tan, Z Gao, L Wu, J Xia, J Zheng, X Yang, Y Liu, B Hu, SZ Li Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 15222 …, 2024 | 4 | 2024 |
| Task-related saliency for few-shot image classification Z Zhou, L Luo, S Zhou, W Li, X Yang, X Liu, E Zhu IEEE Transactions on Neural Networks and Learning Systems, 2023 | 4 | 2023 |
Xinwang LiuSenior Member of IEEE and CCF, NUDT在 nudt.edu.cn 的电子邮件经过验证
