| 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 | 298 | 2020 |
| 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 | 285 | 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 | 141 | 2017 |
| 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 | 121 | 2019 |
| 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 | 100 | 2019 |
| A novel prediction model for the inbound passenger flow of urban rail transit X Yang, Q Xue, X Yang, H Yin, Y Qu, X Li, J Wu Information Sciences 566, 347-363, 2021 | 96 | 2021 |
| 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 | 88 | 2017 |
| 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 | 80 | 2019 |
| Three-way decisions: beyond rough sets and granular computing D Liu, X Yang, T Li International Journal of Machine Learning and Cybernetics 11, 989-1002, 2020 | 68 | 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 | 60 | 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 | 58 | 2020 |
| Three-way conflict analysis based on alliance and conflict functions J Luo, M Hu, G Lang, X Yang, K Qin Information Sciences 594, 322-359, 2022 | 47 | 2022 |
| 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 | 46 | 2022 |
| 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 | 43 | 2022 |
| 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 | 42 | 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 | 41 | 2020 |
| Federated continual learning via knowledge fusion: A survey X Yang, H Yu, X Gao, H Wang, J Zhang, T Li IEEE Transactions on Knowledge and Data Engineering 36 (8), 3832-3850, 2024 | 40 | 2024 |
| Mixed data-driven sequential three-way decision via subjective–objective dynamic fusion X Yang, Y Chen, H Fujita, D Liu, T Li Knowledge-Based Systems 237, 107728, 2022 | 40 | 2022 |
| A review of sequential three-way decision and multi-granularity learning X Yang, Y Li, T Li International Journal of Approximate Reasoning 152, 414-433, 2023 | 33 | 2023 |
| Self-supervised representation learning for trip recommendation Q Gao, W Wang, K Zhang, X Yang, C Miao, T Li Knowledge-Based Systems 247, 108791, 2022 | 31 | 2022 |
Tianrui LiSchool of Computing and Artificial Intelligence, Southwest Jiaotong UniversityEmail được xác minh tại swjtu.edu.cn