| Discernibility matrix based incremental attribute reduction for dynamic data W Wei, X Wu, J Liang, J Cui, Y Sun Knowledge-based systems 140, 142-157, 2018 | 82 | 2018 |
| Semi-supervised learning with mixed-order graph convolutional networks J Wang, J Liang, J Cui, J Liang Information Sciences 573, 171-181, 2021 | 47 | 2021 |
| Fuzzy rough approximations for set-valued data W Wei, J Cui, J Liang, J Wang Information Sciences 360, 181-201, 2016 | 25 | 2016 |
| Graph-based semi-supervised learning via improving the quality of the graph dynamically J Liang, J Cui, J Wang, W Wei Machine Learning 110 (6), 1345-1388, 2021 | 19 | 2021 |
| Dual bidirectional graph convolutional networks for zero-shot node classification Q Yue, J Liang, J Cui, L Bai Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 12 | 2022 |
| Unsupervised dimensionality reduction based on fusing multiple clustering results W Wei, Q Yue, K Feng, J Cui, J Liang IEEE Transactions on Knowledge and Data Engineering, 2021 | 9 | 2021 |
| Fuzzy learning machine J Cui, J Liang Advances in Neural Information Processing Systems 35, 36693-36705, 2022 | 4 | 2022 |
| A zero-shot learning boosting framework via concept-constrained clustering Q Yue, J Cui, L Bai, J Liang, J Liang Pattern Recognition 145, 109937, 2024 | 3 | 2024 |
| A general representation learning framework with generalization performance guarantees J Cui, J Liang, Q Yue, J Liang International Conference on Machine Learning, 6522-6544, 2023 | | 2023 |
