| Urban big data fusion based on deep learning: An overview J Liu, T Li, P Xie, S Du, F Teng, X Yang Information Fusion 53, 123-133, 2020 | 117 | 2020 |
| A unified model of sequential three-way decisions and multilevel incremental processing X Yang, T Li, H Fujita, D Liu, Y Yao Knowledge-Based Systems 134, 172-188, 2017 | 103 | 2017 |
| Urban flow prediction from spatiotemporal data using machine learning: A survey P Xie, T Li, J Liu, S Du, X Yang, J Zhang Information Fusion 59, 1-12, 2020 | 97 | 2020 |
| An efficient selector for multi-granularity attribute reduction K Liu, X Yang, H Fujita, D Liu, X Yang, Y Qian Information Sciences 505, 457-472, 2019 | 80 | 2019 |
| A unified framework of dynamic three-way probabilistic rough sets X Yang, T Li, D Liu, H Chen, C Luo Information Sciences 420, 126-147, 2017 | 75 | 2017 |
| A sequential three-way approach to multi-class decision X Yang, T Li, H Fujita, D Liu International Journal of Approximate Reasoning 104, 108-125, 2019 | 70 | 2019 |
| A temporal-spatial composite sequential approach of three-way granular computing X Yang, T Li, D Liu, H Fujita Information sciences 486, 171-189, 2019 | 60 | 2019 |
| Three-way decisions: beyond rough sets and granular computing D Liu, X Yang, T Li International Journal of Machine Learning and Cybernetics 11 (5), 989-1002, 2020 | 39 | 2020 |
| Dynamic dominance rough set approach for processing composite ordered data Q Huang, T Li, Y Huang, X Yang, H Fujita Knowledge-Based Systems 187, 104829, 2020 | 33 | 2020 |
| A multilevel neighborhood sequential decision approach of three-way granular computing X Yang, T Li, D Liu, H Fujita Information Sciences 538, 119-141, 2020 | 27 | 2020 |
| Incremental fuzzy probability decision-theoretic approaches to dynamic three-way approximations X Yang, D Liu, X Yang, K Liu, T Li Information Sciences 550, 71-90, 2021 | 19 | 2021 |
| Quickly calculating reduct: An attribute relationship based approach X Rao, X Yang, X Yang, X Chen, D Liu, Y Qian Knowledge-Based Systems 200, 106014, 2020 | 18 | 2020 |
| Dynamic composite decision-theoretic rough set under the change of attributes L Wang, X Yang, Y Chen, L Liu, S An, P Zhuo International Journal of Computational Intelligence Systems 11 (1), 355-370, 2018 | 17 | 2018 |
| Incremental three-way neighborhood approach for dynamic incomplete hybrid data Q Huang, T Li, Y Huang, X Yang Information Sciences 541, 98-122, 2020 | 16 | 2020 |
| Local temporal-spatial multi-granularity learning for sequential three-way granular computing X Yang, Y Zhang, H Fujita, D Liu, T Li Information Sciences 541, 75-97, 2020 | 14 | 2020 |
| Granular cabin: An efficient solution to neighborhood learning in big data K Liu, T Li, X Yang, X Yang, D Liu, P Zhang, J Wang Information Sciences 583, 189-201, 2022 | 7 | 2022 |
| Hierarchical fuzzy rough approximations with three-way multi-granularity learning X Yang, Y Li, D Liu, T Li IEEE Transactions on Fuzzy Systems, 2021 | 5 | 2021 |
| Pseudolabel decision-theoretic rough set X Wang, W Zhang, D Liu, H Yu, X Yang, X Yang Mathematical Problems in Engineering 2019, 2019 | 3 | 2019 |
| Three-way decisions: the perspective of rough sets and granular computing D Liu, TR Li, X Yang, DC Liang CAAI Trans Intell Syst 14, 1111-1120, 2019 | 3 | 2019 |
| Temporal-spatial three-way granular computing for dynamic text sentiment classification X Yang, Y Li, Q Li, D Liu, T Li Information Sciences 596, 551-566, 2022 | 2 | 2022 |
Tianrui Li (李天瑞)Professor of School of Information Science and Technology, Southwest Jiaotong universityVerified email at swjtu.edu.cn
