| GMC: Graph-based multi-view clustering H Wang, Y Yang, B Liu IEEE Transactions on Knowledge and Data Engineering 32 (6), 1116-1129, 2020 | 618 | 2020 |
| Multi-view clustering: A survey Y Yang, H Wang Big Data Mining and Analytics 1 (2), 83-107, 2018 | 423 | 2018 |
| A study of graph-based system for multi-view clustering H Wang, Y Yang, B Liu, H Fujita Knowledge-Based Systems 163, 1009-1019, 2019 | 303 | 2019 |
| Spectral Perturbation Meets Incomplete Multi-view Data H Wang, L Zong, B Liu, Y Yang, W Zhou Proceedings of the 28th International Joint Conference on Artificial …, 2019 | 122 | 2019 |
| Multi-view clustering via concept factorization with local manifold regularization H Wang, Y Yang, T Li 2016 IEEE 16th International Conference on Data Mining (ICDM), 1245-1250, 2016 | 118 | 2016 |
| CMC: a consensus multi-view clustering model for predicting Alzheimer’s disease progression X Zhang, Y Yang, T Li, Y Zhang, H Wang, H Fujita Computer Methods and Programs in Biomedicine 199, 105895, 2021 | 83 | 2021 |
| Multi-view clustering via deep concept factorization S Chang, J Hu, T Li, H Wang, B Peng Knowledge-Based Systems 217, 106807, 2021 | 55 | 2021 |
| Consensus Graph Learning for Incomplete Multi-view Clustering W Zhou, H Wang, Y Yang Pacific-Asia Conference on Knowledge Discovery and Data Mining, 529-540, 2019 | 48 | 2019 |
| Entity-aware dependency-based deep graph attention network for comparative preference classification N Ma, S Mazumder, H Wang, B Liu Proceedings of the 58th annual meeting of the association for computational …, 2020 | 43 | 2020 |
| Learning with Noisy Labels for Sentence-level Sentiment Classification H Wang, B Liu, C Li, Y Yang, T Li Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 43 | 2019 |
| Partially shared adversarial learning for semi-supervised multi-platform user identity linkage C Li, S Wang, H Wang, Y Liang, PS Yu, Z Li, W Wang Proceedings of the 28th ACM international conference on information and …, 2019 | 38 | 2019 |
| Multi-city traffic flow forecasting via multi-task learning Y Zhang, Y Yang, W Zhou, H Wang, X Ouyang Applied Intelligence 51 (10), 6895-6913, 2021 | 35 | 2021 |
| Continual learning with knowledge transfer for sentiment classification Z Ke, B Liu, H Wang, L Shu Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021 | 31 | 2021 |
| Forward and Backward Knowledge Transfer for Sentiment Classification H Wang, B Liu, S Wang, N Ma, Y Yang Proceedings of the 11th Asian Conference on Machine Learning (ACML) 101, 457-472, 2019 | 25 | 2019 |
| Deep neural networks with broad views for Parkinson's disease screening X Zhang, Y Yang, H Wang, S Ning, H Wang 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 22 | 2019 |
| Parallel semi-supervised multi-ant colonies clustering ensemble based on MapReduce methodology Y Yang, F Teng, T Li, H Wang, H Wang, Q Zhang IEEE Transactions on Cloud Computing 6 (3), 857 - 867, 2015 | 21 | 2015 |
| Local2Global: Unsupervised multi-view deep graph representation learning with Nearest Neighbor Constraint X Zhang, Y Yang, D Zhai, T Li, J Chu, H Wang Knowledge-Based Systems 231, 107439, 2021 | 14 | 2021 |
| Feature Selection with Local Density-Based Fuzzy Rough Set Model for Noisy Data X Yang, H Chen, H Wang, T Li, Z Yu, Z Wang, C Luo IEEE Transactions on Fuzzy Systems, 2022 | 10 | 2022 |
| Deep matrix factorization with knowledge transfer for lifelong clustering and semi-supervised clustering Y Zhang, H Wang, Y Yang, W Zhou, T Li, X Ouyang, H Chen Information Sciences 570, 795-814, 2021 | 10 | 2021 |
| Urban region representation learning with openstreetmap building footprints Y Li, W Huang, G Cong, H Wang, Z Wang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 9 | 2023 |
Tianrui LiSchool of Computing and Artificial Intelligence, Southwest Jiaotong University在 swjtu.edu.cn 的电子邮件经过验证
