| Fast parameter-free multi-view subspace clustering with consensus anchor guidance S Wang, X Liu, X Zhu, P Zhang, Y Zhang, F Gao, E Zhu IEEE Transactions on Image Processing 31, 556-568, 2021 | 300 | 2021 |
| Multi-view clustering via late fusion alignment maximization. S Wang, X Liu, E Zhu, C Tang, J Liu, J Hu, J Xia, J Yin IJCAI, 3778-3784, 2019 | 244 | 2019 |
| 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 | 220 | 2021 |
| Visdrone-det2018: The vision meets drone object detection in image challenge results P Zhu, L Wen, D Du, X Bian, H Ling, Q Hu, Q Nie, H Cheng, C Liu, X Liu, ... Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 171 | 2018 |
| Efficient one-pass multi-view subspace clustering with consensus anchors S Liu, S Wang, P Zhang, K Xu, X Liu, C Zhang, F Gao Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7576-7584, 2022 | 151 | 2022 |
| 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 | 136 | 2023 |
| 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 | 133 | 2022 |
| 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 | 118 | 2021 |
| 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 | 104 | 2024 |
| 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 | 100 | 2023 |
| Late fusion multiple kernel clustering with proxy graph refinement S Wang, X Liu, L Liu, S Zhou, E Zhu IEEE Transactions on Neural Networks and Learning Systems 34 (8), 4359-4370, 2021 | 95 | 2021 |
| Cancer-associated fibroblast-specific lncRNA LINC01614 enhances glutamine uptake in lung adenocarcinoma T Liu, C Han, P Fang, Z Ma, X Wang, H Chen, S Wang, F Meng, C Wang, ... Journal of Hematology & Oncology 15 (1), 141, 2022 | 93 | 2022 |
| K-means clustering with incomplete data S Wang, M Li, N Hu, E Zhu, J Hu, X Liu, J Yin IEEE Access 7, 69162-69171, 2019 | 91 | 2019 |
| Improved autoencoder for unsupervised anomaly detection Z Cheng, S Wang, P Zhang, S Wang, X Liu, E Zhu International Journal of Intelligent Systems 36 (12), 7103-7125, 2021 | 90 | 2021 |
| 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 | 88 | 2022 |
| 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 | 85 | 2021 |
| Graph anomaly detection via multi-scale contrastive learning networks with augmented view J Duan, S Wang, P Zhang, E Zhu, J Hu, H Jin, Y Liu, Z Dong Proceedings of the AAAI conference on artificial intelligence 37 (6), 7459-7467, 2023 | 83 | 2023 |
| Multi-view clustering via deep matrix factorization and partition alignment C Zhang, S Wang, J Liu, S Zhou, P Zhang, X Liu, E Zhu, C Zhang Proceedings of the 29th ACM international conference on multimedia, 4156-4164, 2021 | 80 | 2021 |
| Multi-view spectral clustering with high-order optimal neighborhood laplacian matrix W Liang, S Zhou, J Xiong, X Liu, S Wang, E Zhu, Z Cai, X Xu IEEE Transactions on Knowledge and Data Engineering 34 (7), 3418-3430, 2020 | 80 | 2020 |
| Optimal neighborhood multiple kernel clustering with adaptive local kernels J Liu, X Liu, J Xiong, Q Liao, S Zhou, S Wang, Y Yang IEEE Transactions on Knowledge and Data Engineering 34 (6), 2872-2885, 2020 | 80 | 2020 |
Xinwang LiuSenior Member of IEEE and CCF, NUDTE-mail megerősítve itt: nudt.edu.cn
