| Broad learning system based on maximum correntropy criterion Y Zheng, B Chen, S Wang, W Wang IEEE Transactions on Neural Networks and Learning Systems 32 (7), 3083-3097, 2020 | 56 | 2020 |
| 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 |
| A modified quantized kernel least mean square algorithm for prediction of chaotic time series Y Zheng, S Wang, J Feng, KT Chi Digital Signal Processing 48, 130-136, 2016 | 44 | 2016 |
| 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 | 32 | 2020 |
| A class of improved least sum of exponentials algorithms S Wang, Y Zheng, S Duan, L Wang, KT Chi Signal Processing 128, 340-349, 2016 | 32 | 2016 |
| Regularized kernel least mean square algorithm with multiple-delay feedback S Wang, Y Zheng, C Ling IEEE Signal Processing Letters 23 (1), 98-101, 2015 | 31 | 2015 |
| Extract EEG features by combining power spectral density and correntropy spectral density X Qin, Y Zheng, B Chen 2019 Chinese Automation Congress (CAC), 2455-2459, 2019 | 12 | 2019 |
| Least p-norm based broad learning system Y Zheng, B Chen Pattern Recognit. Artif. Intell. 32 (1), 1-6, 2019 | 9 | 2019 |
| A unified framework of random feature KLMS algorithms and convergence analysis J Dong, Y Zheng, B Chen 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 5 | 2018 |
| Mixed-norm based broad learning system for EEG classification Y Zheng, X Qin, Z Xi, B Chen 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 4 | 2019 |
| Kernel adaptive Hammerstein filter Y Zheng, J Dong, W Ma, B Chen 2018 26th European Signal Processing Conference (EUSIPCO), 504-508, 2018 | 4 | 2018 |
| Random Fourier features based extended kernel recursive least squares with application to fMRI decoding Z Xi, J Yang, Y Zheng, H Wu, B Chen 2018 Chinese Automation Congress (CAC), 1390-1395, 2018 | 3 | 2018 |
| Simplified quantised kernel least mean square algorithm with fixed budget S Wang, Y Zheng, S Duan, L Wang Electronics Letters 52 (17), 1453-1455, 2016 | 3 | 2016 |
| Convex combination of quantized kernel least mean square algorithm Y Zheng, S Wang, Y Feng, W Zhang, Q Yang 2015 Sixth International Conference on Intelligent Control and Information …, 2015 | 3 | 2015 |
| Novel cubature Kalman filters based on mixed degrees Y Feng, Q Yang, S Wang, W Zhang, Y Zheng 2015 Sixth International Conference on Intelligent Control and Information …, 2015 | 3 | 2015 |
| Error Reused Filtered-X Least Mean Square Algorithm for Active Noise Control Q Zhang, D Lin, Y Xiao, Y Zheng, S Wang IEEE/ACM Transactions on Audio, Speech, and Language Processing 32, 397 - 412, 2023 | 2 | 2023 |
| Quantized minimum error entropy with fiducial points for robust regression Y Zheng, S Wang, B Chen Neural Networks 168, 405-418, 2023 | 2 | 2023 |
| Error loss networks B Chen, Y Zheng, P Ren IEEE Transactions on Neural Networks and Learning Systems, 2022 | 2 | 2022 |
| A novel least Cauchy error algorithm and its kernel extension L Dang, Y Zheng, S Wang, W Wang, Q Sun 2016 9th International Congress on Image and Signal Processing, BioMedical …, 2016 | 2 | 2016 |
| Multikernel correntropy based robust least squares one-class support vector machine Y Zheng, S Wang, B Chen Neurocomputing 545, 126324, 2023 | 1 | 2023 |
Shiyuan WangProfessor, College of Electronic and Information Engineering, Southwest UniversityVerified email at swu.edu.cn
