| Generalized correntropy for robust adaptive filtering B Chen, L Xing, H Zhao, N Zheng, JC Prı IEEE Transactions on Signal Processing 64 (13), 3376-3387, 2016 | 688 | 2016 |
| Steady-state mean-square error analysis for adaptive filtering under the maximum correntropy criterion B Chen, L Xing, J Liang, N Zheng, JC Principe IEEE signal processing letters 21 (7), 880-884, 2014 | 437 | 2014 |
| Kernel risk-sensitive loss: definition, properties and application to robust adaptive filtering B Chen, L Xing, B Xu, H Zhao, N Zheng, JC Principe IEEE Transactions on Signal Processing 65 (11), 2888-2901, 2017 | 170 | 2017 |
| Robust Learning With Kernel Mean -Power Error Loss B Chen, L Xing, X Wang, J Qin, N Zheng IEEE transactions on cybernetics 48 (7), 2101-2113, 2017 | 76 | 2017 |
| Insights into the robustness of minimum error entropy estimation B Chen, L Xing, B Xu, H Zhao, JC Principe IEEE transactions on neural networks and learning systems 29 (3), 731-737, 2016 | 74 | 2016 |
| Quantized minimum error entropy criterion B Chen, L Xing, N Zheng, JC Principe IEEE transactions on neural networks and learning systems 30 (5), 1370-1380, 2018 | 56 | 2018 |
| Building up a robust risk mathematical platform to predict colorectal cancer L Zhang, C Zheng, T Li, L Xing, H Zeng, T Li, H Yang, J Cao, B Chen, ... Complexity 2017 (1), 8917258, 2017 | 41 | 2017 |
| Smoothed least mean p-power error criterion for adaptive filtering B Chen, L Xing, Z Wu, J Liang, JC Príncipe, N Zheng Digital Signal Processing 40, 154-163, 2015 | 40 | 2015 |
| Effects of outliers on the maximum correntropy estimation: A robustness analysis B Chen, L Xing, H Zhao, S Du, JC Principe IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (6), 4007-4012, 2019 | 37* | 2019 |
| Correntropy-based multiview subspace clustering L Xing, B Chen, S Du, Y Gu, N Zheng IEEE Transactions on Cybernetics 51 (6), 3298-3311, 2019 | 35 | 2019 |
| Adaptive filtering with quantized minimum error entropy criterion Z Li, L Xing, B Chen Signal processing 172, 107534, 2020 | 32 | 2020 |
| Mixture correntropy based robust multi-view K-means clustering L Xing, H Zhao, Z Lin, B Chen Knowledge-Based Systems 262, 110231, 2023 | 21 | 2023 |
| Robust high-order manifold constrained low rank representation for subspace clustering L Xing, B Chen, J Wang, S Du, J Cao IEEE Transactions on Circuits and Systems for Video Technology 31 (2), 533-545, 2020 | 18 | 2020 |
| Robust sparse channel estimation based on maximum mixture correntropy criterion M Lu, L Xing, N Zheng, B Chen 2020 International Joint Conference on Neural Networks (IJCNN), 1-6, 2020 | 9 | 2020 |
| Incomplete multi-view clustering via correntropy and complement consensus learning L Xing, Y Song, B Chen, C Yu, J Qin IEEE Transactions on Multimedia, 2024 | 4 | 2024 |
| Robust locality preserving projection based on kernel risk-sensitive loss L Xing, Y Mi, Y Li, B Chen 2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018 | 4 | 2018 |
| Measuring generalized divergence for multiple distributions with application to deep clustering M Lu, L Xing, B Chen Pattern Recognition 157, 110864, 2025 | 3 | 2025 |
| Developing a robust colorectal cancer (CRC) risk predictive model with the big genetic and environment related CRC data C Zheng, L Xing, T Li, T Li, H Yang, J Cao, B Chen, Z Zhou, L Zhang 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016 | 3 | 2016 |
| Robust tensor ring-based graph completion for incomplete multi-view clustering L Xing, B Chen, C Yu, J Qin Information Fusion, 102501, 2024 | 2 | 2024 |
| Generalized Trusted Multi-view Classification Framework with Hierarchical Opinion Aggregation L Shi, C Tang, H Deng, C Xu, L Xing, B Chen arXiv preprint arXiv:2411.03713, 2024 | 1 | 2024 |
