| Quantized kernel least mean square algorithm B Chen, S Zhao, P Zhu, JC Príncipe IEEE Transactions on Neural Networks and Learning Systems 23 (1), 22-32, 2012 | 372 | 2012 |
| Similarity learning with spatial constraints for person re-identification D Chen, Z Yuan, B Chen, N Zheng Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 360 | 2016 |
| 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 | 357 | 2016 |
| Maximum correntropy Kalman filter B Chen, X Liu, H Zhao, JC Príncipe Automatica 76, 70-77, 2017 | 336 | 2017 |
| 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 | 319 | 2014 |
| Weighted-permutation entropy: A complexity measure for time series incorporating amplitude information B Fadlallah, B Chen, A Keil, J Príncipe Physical Review E 87 (2), 022911, 2013 | 280 | 2013 |
| Convergence of a fixed-point algorithm under maximum correntropy criterion B Chen, J Wang, H Zhao, N Zheng, JC Príncipe IEEE Signal Processing Letters 22 (10), 1723-1727, 2015 | 210 | 2015 |
| Maximum correntropy estimation is a smoothed MAP estimation B Chen, JC Príncipe IEEE Signal Processing Letters 19 (8), 491-494, 2012 | 194 | 2012 |
| Quantized kernel recursive least squares algorithm B Chen, S Zhao, P Zhu, JC Principe IEEE transactions on neural networks and learning systems 24 (9), 1484-1491, 2013 | 165 | 2013 |
| Kernel adaptive filtering with maximum correntropy criterion S Zhao, B Chen, JC Principe Neural Networks (IJCNN), The 2011 International Joint Conference on, 2012-2017, 2011 | 159 | 2011 |
| Maximum correntropy criterion based sparse adaptive filtering algorithms for robust channel estimation under non-Gaussian environments W Ma, H Qu, G Gui, L Xu, J Zhao, B Chen Journal of the Franklin Institute 352 (7), 2708-2727, 2015 | 151 | 2015 |
| System parameter identification: information criteria and algorithms B Chen, Y Zhu, J Hu, JC Principe Newnes, 2013 | 146 | 2013 |
| Disturbance observer based composite learning fuzzy control of nonlinear systems with unknown dead zone B Xu, F Sun, Y Pan, B Chen IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2016 | 130 | 2016 |
| Hybrid-augmented intelligence: collaboration and cognition N Zheng, Z Liu, P Ren, Y Ma, S Chen, S Yu, J Xue, B Chen, F Wang Frontiers of Information Technology & Electronic Engineering 18 (2), 153-179, 2017 | 128 | 2017 |
| Kernel recursive maximum correntropy Z Wu, J Shi, X Zhang, W Ma, B Chen, I Senior Member Signal Processing 117, 11-16, 2015 | 113 | 2015 |
| 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 | 98 | 2017 |
| Kernel least mean square with adaptive kernel size B Chen, J Liang, N Zheng, JC Principe Neurocomputing 191, 95-106, 2016 | 83 | 2016 |
| Blocked Maximum Correntropy Criterion Algorithm for Cluster-Sparse System Identifications Y Li, Z Jiang, W Shi, X Han, B Chen IEEE Transactions on Circuits and Systems II: Express Briefs, 2019 | 81 | 2019 |
| Brain Inspired Cognitive Model with Attention for Self-Driving Cars S Chen, S Zhang, J Shang, B Chen, N Zheng arXiv preprint arXiv:1702.05596, 2017 | 81 | 2017 |
| Diffusion maximum correntropy criterion algorithms for robust distributed estimation W Ma, B Chen, J Duan, H Zhao Digital Signal Processing 58, 10-19, 2016 | 77 | 2016 |
jose principeprofessor of ECE, U. of Florida在 cnel.ufl.edu 的电子邮件经过验证
