| A novel hybrid feature selection method considering feature interaction in neighborhood rough set J Wan, H Chen, Z Yuan, T Li, X Yang, BB Sang Knowledge-Based Systems 227, 107167, 2021 | 68 | 2021 |
| Neighborhood rough sets with distance metric learning for feature selection X Yang, H Chen, T Li, J Wan, B Sang Knowledge-Based Systems 224, 107076, 2021 | 52 | 2021 |
| A novel quantum grasshopper optimization algorithm for feature selection D Wang, H Chen, T Li, J Wan, Y Huang International Journal of Approximate Reasoning 127, 33-53, 2020 | 45 | 2020 |
| Interactive and complementary feature selection via fuzzy multigranularity uncertainty measures J Wan, H Chen, T Li, Z Yuan, J Liu, W Huang IEEE Transactions on Cybernetics 53 (2), 1208-1221, 2021 | 41 | 2021 |
| A novel unsupervised approach to heterogeneous feature selection based on fuzzy mutual information Z Yuan, H Chen, P Zhang, J Wan, T Li IEEE Transactions on fuzzy systems 30 (9), 3395-3409, 2021 | 35 | 2021 |
| Information propagation model based on hybrid social factors of opportunity, trust and motivation J Wan, X Chen, Y Du, M Jia Neurocomputing 333, 169-184, 2019 | 34 | 2019 |
| Dynamic interaction feature selection based on fuzzy rough set J Wan, H Chen, T Li, X Yang, B Sang Information Sciences 581, 891-911, 2021 | 33 | 2021 |
| Feature grouping and selection with graph theory in robust fuzzy rough approximation space J Wan, H Chen, T Li, B Sang, Z Yuan IEEE Transactions on Fuzzy Systems 31 (1), 213-225, 2022 | 30 | 2022 |
| Semi-supervised feature selection via adaptive structure learning and constrained graph learning J Lai, H Chen, W Li, T Li, J Wan Knowledge-Based Systems 251, 109243, 2022 | 27 | 2022 |
| R2CI: Information theoretic-guided feature selection with multiple correlations J Wan, H Chen, T Li, W Huang, M Li, C Luo Pattern Recognition 127, 108603, 2022 | 25 | 2022 |
| Unsupervised feature selection via self-paced learning and low-redundant regularization W Li, H Chen, T Li, J Wan, B Sang Knowledge-Based Systems 240, 108150, 2022 | 23 | 2022 |
| FedDSR: Daily schedule recommendation in a federated deep reinforcement learning framework W Huang, J Liu, T Li, T Huang, S Ji, J Wan IEEE Transactions on Knowledge and Data Engineering 35 (4), 3912-3924, 2021 | 22 | 2021 |
| Semi-supervised feature selection with minimal redundancy based on local adaptive X Wu, H Chen, T Li, J Wan Applied Intelligence 51, 8542-8563, 2021 | 17 | 2021 |
| Feature selection considering multiple correlations based on soft fuzzy dominance rough sets for monotonic classification B Sang, H Chen, L Yang, J Wan, T Li, W Xu IEEE Transactions on Fuzzy Systems 30 (12), 5181-5195, 2022 | 15 | 2022 |
| Exploiting feature multi-correlations for multilabel feature selection in robust multi-neighborhood fuzzy β covering space T Yin, H Chen, J Wan, P Zhang, SJ Horng, T Li Information Fusion 104, 102150, 2024 | 13 | 2024 |
| A robust multilabel feature selection approach based on graph structure considering fuzzy dependency and feature interaction T Yin, H Chen, Z Yuan, J Wan, K Liu, SJ Horng, T Li IEEE Transactions on Fuzzy Systems, 2023 | 12 | 2023 |
| Self-adaptive weighted interaction feature selection based on robust fuzzy dominance rough sets for monotonic classification B Sang, H Chen, J Wan, L Yang, T Li, W Xu, C Luo Knowledge-based Systems 253, 109523, 2022 | 10 | 2022 |
| Domain adversarial graph neural network with cross-city graph structure learning for traffic prediction X Ouyang, Y Yang, Y Zhang, W Zhou, J Wan, S Du Knowledge-Based Systems 278, 110885, 2023 | 9 | 2023 |
| Robust dual-graph regularized and minimum redundancy based on self-representation for semi-supervised feature selection H Chen, H Chen, W Li, T Li, C Luo, J Wan Neurocomputing 490, 104-123, 2022 | 6 | 2022 |
| Fuzzy rough dimensionality reduction: a feature set partition-based approach Z Wang, H Chen, X Yang, J Wan, T Li, C Luo Information Sciences 644, 119266, 2023 | 5 | 2023 |
Tianrui LiSchool of Computing and Artificial Intelligence, Southwest Jiaotong University在 swjtu.edu.cn 的电子邮件经过验证
