| DenPEHC: Density peak based efficient hierarchical clustering J Xu, G Wang, W Deng Information Sciences 373, 200-218, 2016 | 139 | 2016 |
| Granular computing: from granularity optimization to multi-granularity joint problem solving G Wang, J Yang, J Xu Granular Computing 2 (3), 105-120, 2017 | 136 | 2017 |
| A survey of smart water quality monitoring system J Dong, G Wang, H Yan, J Xu, X Zhang Environmental Science and Pollution Research 22 (7), 4893-4906, 2015 | 134 | 2015 |
| Self-training semi-supervised classification based on density peaks of data D Wu, M Shang, X Luo, J Xu, H Yan, W Deng, G Wang Neurocomputing 275, 180-191, 2018 | 126 | 2018 |
| Review of big data processing based on granular computing J Xu, GY Wang, H Yu Chinese journal of computers 38 (8), 1497-1517, 2015 | 59 | 2015 |
| 基于粒计算的大数据处理 徐计， 王国胤， 于洪 计算机学报 38 (8), 1497-1517, 2015 | 51 | 2015 |
| Fat node leading tree for data stream clustering with density peaks J Xu, G Wang, T Li, W Deng, G Gou Knowledge-Based Systems 120, 99-117, 2017 | 43 | 2017 |
| Piecewise two-dimensional normal cloud representation for time-series data mining W Deng, G Wang, J Xu Information Sciences 374, 32-50, 2016 | 37 | 2016 |
| A multi-granularity combined prediction model based on fuzzy trend forecasting and particle swarm techniques W Deng, G Wang, X Zhang, J Xu, G Li Neurocomputing 173, 1671-1682, 2016 | 37 | 2016 |
| Local-Density-Based Optimal Granulation and Manifold Information Granule Description J Xu, G Wang, T Li, W Pedrycz IEEE transactions on cybernetics, 2017 | 27 | 2017 |
| Granular computing with multiple granular layers for brain big data processing G Wang, J Xu Brain informatics 1 (1-4), 1-10, 2014 | 24 | 2014 |
| hier2vec: interpretable multi-granular representation learning for hierarchy in social networks S Fu, G Wang, J Xu International Journal of Machine Learning and Cybernetics, 1-15, 2021 | 9 | 2021 |
| Multi-granularity intelligent information processing G Wang, J Xu, Q Zhang, Y Liu Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 36-48, 2015 | 8 | 2015 |
| IbLT: An effective granular computing framework for hierarchical community detection S Fu, G Wang, J Xu, S Xia Journal of Intelligent Information Systems 58 (1), 175-196, 2022 | 7 | 2022 |
| LaPOLeaF: Label Propagation in an Optimal Leading Forest J Xu, T Li, Y Wu, G Wang Information Sciences, 2021 | 7 | 2021 |
| Leading Tree in DPCLUS and Its Impact on Building Hierarchies J Xu, G Wang arXiv preprint arXiv:1506.03879, 2015 | 2 | 2015 |
| Long-Tailed Classification Based on Coarse-Grained Leading Forest and Multi-Center Loss GW Jinye Yang, Ji Xu , Di Wu , Jianhang Tang , Shaobo Li IEEE Transactions on Emerging Topics in Computational Intelligence, 1-15, 2024 | | 2024 |
| Faithful Density-Peaks Clustering via Matrix Computations on MPI Parallelization System Ji Xu, Tianlong Xiao, Jinye Yang, Panpan Zhu arXiv:2406.12297, 2024 | | 2024 |
| Hyp-DAN: Hyperbolic Distance-Aware Attention Networks F Xiang, J Tang, S Li, G Wang, J Xu International Joint Conference on Rough Sets, 314-328, 2024 | | 2024 |
| UAV-Assisted Digital Twin Synchronization With Tiny Machine Learning-Based Semantic Communications J Tang, J Nie, J Bai, J Xu, S Li, Y Zhang, Y Yuan IEEE Internet of Things Journal, 2024 | | 2024 |
Witold Pedrycz在 ualberta.ca 的电子邮件经过验证
