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 | 237 | 2020 |
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 | 235 | 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 | 131 | 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 | 115 | 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 | 99 | 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 | 88 | 2017 |
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 | 80 | 2021 |
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 | 75 | 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 | 62 | 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 | 54 | 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 | 54 | 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 | 38 | 2021 |
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 | 37 | 2022 |
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 | 37 | 2020 |
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 | 35 | 2022 |
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 | 35 | 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 | 34 | 2022 |
Incremental three-way neighborhood approach for dynamic incomplete hybrid data Q Huang, T Li, Y Huang, X Yang Information Sciences 541, 98-122, 2020 | 30 | 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 | 26 | 2020 |
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 | 21 | 2023 |