Mixture correntropy for robust learning B Chen, X Wang, N Lu, S Wang, J Cao, J Qin Pattern Recognition 79, 318-327, 2018 | 147 | 2018 |
Spherical Simplex-Radial Cubature Kalman Filter S Wang, J Feng, CK Tse Signal Processing Letters, IEEE 21 (1), 43-46, 2014 | 116 | 2014 |
Logarithmic Hyperbolic Cosine Adaptive Filter and Its Performance Analysis S Wang, W Wang, K Xiong, HHC Iu, KT Chi IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (4), 2512-2524, 2021 | 90 | 2021 |
Robust Power System State Estimation With Minimum Error Entropy Unscented Kalman Filter L Dang, B Chen, S Wang, W Ma, P Ren IEEE Transactions on Instrumentation and Measurement 69 (11), 8797-8808, 2020 | 85 | 2020 |
Maximum total correntropy adaptive filtering against heavy-tailed noises F Wang, Y He, S Wang, B Chen Signal Processing 141, 84-95, 2017 | 60 | 2017 |
Broad Learning System Based on Maximum Correntropy Criterion Y Zheng, B Chen, S Wang, W Wang IEEE Transactions on Neural Networks and Learning Systems, 2020 | 59 | 2020 |
Robust least mean logarithmic square adaptive filtering algorithms K Xiong, S Wang Journal of the Franklin Institute 356 (1), 654-674, 2019 | 55 | 2019 |
Random Fourier Filters Under Maximum Correntropy Criterion S Wang, L Dang, B Chen, S Duan, L Wang, KT Chi IEEE Transactions on Circuits and Systems I: Regular Papers 65 (10), 3390-3343, 2018 | 55 | 2018 |
Kernel Kalman Filtering With Conditional Embedding and Maximum Correntropy Criterion L Dang, B Chen, S Wang, Y Gu, JC Príncipe IEEE Transactions on Circuits and Systems I: Regular Papers 66 (11), 4265-4277, 2019 | 53 | 2019 |
A modified quantized kernel least mean square algorithm for prediction of chaotic time series Y Zheng, S Wang, J Feng, CK Tse Digital Signal Processing 48, 130-136, 2016 | 47 | 2016 |
Quantized kernel maximum correntropy and its mean square convergence analysis S Wang, Y Zheng, S Duan, L Wang, H Tan Digital Signal Processing 63, 164-176, 2017 | 44 | 2017 |
Kernel Least Mean Square with Single Feedback J Zhao, X Liao, S Wang, CK Tse Signal Processing Letters, IEEE 22 (7), 953-957, 2015 | 42 | 2015 |
Kernel Affine Projection Sign Algorithms for Combating Impulse Interference S Wang, J Feng, CK Tse IEEE Transactions on Circuits and Systems Part II 60 (11), 811-815, 2013 | 42 | 2013 |
Kernel Correntropy Conjugate Gradient Algorithms Based on Half-Quadratic Optimization K Xiong, HHC Iu, S Wang IEEE Transactions on Cybernetics 51 (11), 5497 - 5510, 2021 | 38 | 2021 |
Mixture correntropy-based kernel extreme learning machines Y Zheng, B Chen, S Wang, W Wang, W Qin IEEE Transactions on Neural Networks and Learning Systems 33 (2), 811-825, 2020 | 37 | 2020 |
Maximum total correntropy diffusion adaptation over networks with noisy links Y He, F Wang, S Wang, P Ren, B Chen IEEE Transactions on Circuits and Systems II: Express Briefs 66 (2), 307-311, 2018 | 37 | 2018 |
Generalized Complex Correntropy: Application to Adaptive Filtering of Complex Data G Qian, S Wang IEEE Access 6, 19113-19120, 2018 | 35 | 2018 |
A Class of Stable Square-Root Nonlinear Information Filters S Wang, J Feng, CK Tse IEEETransactions on Automatic Control 56 (7), 1893-1898, 2014 | 35 | 2014 |
Regularized Kernel Least Mean Square Algorithm with Multiple-delay Feedback S Wang, Y Zheng, C Ling Signal Processing Letters, IEEE 23 (1), 98 - 101, 2016 | 34 | 2016 |
A Modified Variational Bayesian Noise Adaptive Kalman Filter SY Wang, C Yin, SK Duan, LD Wang Circuits, Systems, and Signal Processing 36 (10), 4260–4277, 2017 | 32 | 2017 |