| GBNRS: A novel rough set algorithm for fast adaptive attribute reduction in classification S Xia, H Zhang, W Li, G Wang, E Giem, Z Chen IEEE Transactions on Knowledge and Data Engineering 34 (3), 1231-1242, 2020 | 171 | 2020 |
| Granular ball computing classifiers for efficient, scalable and robust learning S Xia, Y Liu, X Ding, G Wang, H Yu, Y Luo Information Sciences 483, 136-152, 2019 | 167 | 2019 |
| RSMOTE: A self-adaptive robust SMOTE for imbalanced problems with label noise B Chen, S Xia, Z Chen, B Wang, G Wang Information Sciences 553, 397-428, 2021 | 147 | 2021 |
| A fast adaptive k-means with no bounds S Xia, D Peng, D Meng, C Zhang, G Wang, E Giem, W Wei, Z Chen IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 127 | 2020 |
| Granular ball sampling for noisy label classification or imbalanced classification S Xia, S Zheng, G Wang, X Gao, B Wang IEEE Transactions on Neural Networks and Learning Systems 34 (4), 2144-2155, 2021 | 96 | 2021 |
| Ball -Means: Fast Adaptive Clustering With No Bounds S Xia, D Peng, D Meng, C Zhang, G Wang, E Giem, W Wei, Z Chen IEEE transactions on pattern analysis and machine intelligence 44 (1), 87-99, 2020 | 91 | 2020 |
| Complete random forest based class noise filtering learning for improving the generalizability of classifiers S Xia, G Wang, Z Chen, Y Duan IEEE Transactions on Knowledge and Data Engineering 31 (11), 2063-2078, 2018 | 83 | 2018 |
| Deep-LIFT: Deep label-specific feature learning for image annotation J Li, C Zhang, JT Zhou, H Fu, S Xia, Q Hu IEEE transactions on Cybernetics 52 (8), 7732-7741, 2021 | 65 | 2021 |
| Effectiveness of the Euclidean distance in high dimensional spaces S Xia, Z Xiong, Y Luo, G Zhang Optik 126 (24), 5614-5619, 2015 | 57 | 2015 |
| An efficient and adaptive granular-ball generation method in classification problem S Xia, X Dai, G Wang, X Gao, E Giem IEEE Transactions on Neural Networks and Learning Systems 35 (4), 5319-5331, 2022 | 56 | 2022 |
| Optimal scale combination selection integrating three-way decision with Hasse diagram Q Zhang, Y Cheng, F Zhao, G Wang, S Xia IEEE Transactions on Neural Networks and Learning Systems 33 (8), 3675-3689, 2021 | 54 | 2021 |
| mCRF and mRD: Two classification methods based on a novel multiclass label noise filtering learning framework S Xia, B Chen, G Wang, Y Zheng, X Gao, E Giem, Z Chen IEEE Transactions on Neural Networks and Learning Systems 33 (7), 2916-2930, 2021 | 46 | 2021 |
| Deep multi-granularity graph embedding for user identity linkage across social networks S Fu, G Wang, S Xia, L Liu Knowledge-Based Systems 193, 105301, 2020 | 46 | 2020 |
| Location difference of multiple distances based k-nearest neighbors algorithm S Xia, Z Xiong, Y Luo, L Dong, G Zhang Knowledge-Based Systems 90, 99-110, 2015 | 43 | 2015 |
| Relative density based support vector machine S Xia, Z Xiong, Y Luo, L Dong, C Xing Neurocomputing 149, 1424-1432, 2015 | 40 | 2015 |
| An efficient spectral clustering algorithm based on granular-ball J Xie, W Kong, S Xia, G Wang, X Gao IEEE Transactions on Knowledge and Data Engineering 35 (9), 9743-9753, 2023 | 37 | 2023 |
| Random space division sampling for label-noisy classification or imbalanced classification S Xia, Y Zheng, G Wang, P He, H Li, Z Chen IEEE Transactions on Cybernetics 52 (10), 10444-10457, 2021 | 35 | 2021 |
| A fast granular-ball-based density peaks clustering algorithm for large-scale data D Cheng, Y Li, S Xia, G Wang, J Huang, S Zhang IEEE Transactions on Neural Networks and Learning Systems, 2023 | 33 | 2023 |
| K-means clustering with natural density peaks for discovering arbitrary-shaped clusters D Cheng, J Huang, S Zhang, S Xia, G Wang, J Xie IEEE Transactions on Neural Networks and Learning Systems, 2023 | 32 | 2023 |
| An efficient and accurate rough set for feature selection, classification, and knowledge representation S Xia, X Bai, G Wang, Y Cheng, D Meng, X Gao, Y Zhai, E Giem IEEE Transactions on Knowledge and Data Engineering 35 (8), 7724-7735, 2022 | 28 | 2022 |
