| A comprehensive survey on multi-view clustering U Fang, M Li, J Li, L Gao, T Jia, Y Zhang IEEE Transactions on Knowledge and Data Engineering 35 (12), 12350-12368, 2023 | 153 | 2023 |
| Clustering-enhanced stock price prediction using deep learning M Li, Y Zhu, Y Shen, M Angelova World Wide Web 26 (1), 207-232, 2023 | 44 | 2023 |
| Meta-learning based spatial-temporal graph attention network for traffic signal control M Wang, L Wu, M Li, D Wu, X Shi, C Ma Knowledge-based systems 250, 109166, 2022 | 44 | 2022 |
| Gomic: Multi-view image clustering via self-supervised contrastive heterogeneous graph co-learning U Fang, J Li, N Akhtar, M Li, Y Jia World Wide Web 26 (4), 1667-1683, 2023 | 38 | 2023 |
| Course map learning with graph convolutional network based on AuCM J Xia, M Li, Y Tang, S Yang World Wide Web 26 (5), 3483-3502, 2023 | 16 | 2023 |
| Stock market analysis using social networks M Li, C Yang, J Zhang, D Puthal, Y Luo, J Li Proceedings of the Australasian computer science week multiconference, 1-10, 2018 | 16 | 2018 |
| Weighted dynamic time warping for traffic flow clustering M Li, Y Zhu, T Zhao, M Angelova Neurocomputing 472, 266-279, 2022 | 15 | 2022 |
| Distributed optimization of graph convolutional network using subgraph variance T Zhao, X Song, M Li, J Li, W Luo, I Razzak IEEE Transactions on Neural Networks and Learning Systems, 2023 | 10 | 2023 |
| Efficient strategy mining for football social network T Zhao, N Cui, Y Chen, M Li Complexity 2020 (1), 8823189, 2020 | 9 | 2020 |
