フォロー
Wenxuan Tu
Wenxuan Tu
確認したメール アドレス: nudt.edu.cn
タイトル
引用先
引用先
Scalable multi-view subspace clustering with unified anchors
M Sun, P Zhang, S Wang, S Zhou, W Tu, X Liu, E Zhu, C Wang
Proceedings of the 29th ACM international conference on multimedia, 3528-3536, 2021
2172021
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
2082022
Deep fusion clustering network
W Tu, S Zhou, X Liu, X Guo, Z Cai, E Zhu, J Cheng
Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9978-9987, 2021
1892021
Simple contrastive graph clustering
Y Liu, X Yang, S Zhou, X Liu, S Wang, K Liang, W Tu, L Li
IEEE Transactions on Neural Networks and Learning Systems, 2023
1342023
Highly-efficient incomplete large-scale multi-view clustering with consensus bipartite graph
S Wang, X Liu, L Liu, W Tu, X Zhu, J Liu, S Zhou, E Zhu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
1312022
One pass late fusion multi-view clustering
X Liu, L Liu, Q Liao, S Wang, Y Zhang, W Tu, C Tang, J Liu, E Zhu
International conference on machine learning, 6850-6859, 2021
1172021
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, ...
Proceedings of the AAAI conference on artificial intelligence 37 (7), 8914-8922, 2023
1162023
Survey on graph convolutional neural network
J LIU, W TU, E ZHU
Computer engineering & science 45 (08), 1472, 2023
1132023
A survey of knowledge graph reasoning on graph types: Static, dynamic, and multi-modal
K Liang, L Meng, M Liu, Y Liu, W Tu, S Wang, S Zhou, X Liu, F Sun, K He
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
1042024
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 AAAI conference on artificial intelligence 37 (9), 10834 …, 2023
1002023
Reasoning over different types of knowledge graphs: Static, temporal and multi-modal
K Liang, L Meng, M Liu, Y Liu, W Tu, S Wang, S Zhou, X Liu, F Sun
arXiv preprint arXiv:2212.05767 3, 2022
882022
Knowledge graph contrastive learning based on relation-symmetrical structure
K Liang, Y Liu, S Zhou, W Tu, Y Wen, X Yang, X Dong, X Liu
IEEE Transactions on Knowledge and Data Engineering 36 (1), 226-238, 2023
852023
Self-representation subspace clustering for incomplete multi-view data
J Liu, X Liu, Y Zhang, P Zhang, W Tu, S Wang, S Zhou, W Liang, S Wang, ...
Proceedings of the 29th ACM international conference on multimedia, 2726-2734, 2021
852021
Learn from relational correlations and periodic events for temporal knowledge graph reasoning
K Liang, L Meng, M Liu, Y Liu, W Tu, S Wang, S Zhou, X Liu
Proceedings of the 46th international ACM SIGIR conference on research and …, 2023
782023
Align then fusion: Generalized large-scale multi-view clustering with anchor matching correspondences
S Wang, X Liu, S Liu, J Jin, W Tu, X Zhu, E Zhu
Advances in Neural Information Processing Systems 35, 5882-5895, 2022
662022
Deep temporal graph clustering
M Liu, Y Liu, K Liang, W Tu, S Wang, S Zhou, X Liu
arXiv preprint arXiv:2305.10738, 2023
622023
Contrastive multi-view subspace clustering of hyperspectral images based on graph convolutional networks
R Guan, Z Li, W Tu, J Wang, Y Liu, X Li, C Tang, R Feng
IEEE Transactions on Geoscience and Remote Sensing, 2024
572024
Attributed Graph Clustering with Dual Redundancy Reduction.
L Gong, S Zhou, W Tu, X Liu
IJCAI, 3015-3021, 2022
572022
Self-supervised temporal graph learning with temporal and structural intensity alignment
M Liu, K Liang, Y Zhao, W Tu, S Zhou, X Gan, X Liu, K He
IEEE Transactions on Neural Networks and Learning Systems, 2024
552024
DFFNet: An IoT-perceptive dual feature fusion network for general real-time semantic segmentation
X Tang, W Tu, K Li, J Cheng
Information Sciences 565, 326-343, 2021
492021
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