Journal Papers (Selected)

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  1. Yunfei Zheng, Badong Chen*, Shiyuan Wang, Weiqun Wang, Wei Qin, Mixture Correntropy Based Kernel Extreme Learning Machines. To appear in IEEE Trans. Neural Networks and Learning Systems.

  2. Mingming Bai, Yulong Huang, Badong Chen, Liu Yang, Yonggang Zhang, A Novel Mixture Distributions Based Robust Kalman Filter for Cooperative Localization. To appear in IEEE Sensors Journal.

  3. Long Shi, Haiquan Zhao, Yuriy Zakharov, Badong Chen, Yaoru Yang, Variable Step-Size Widely Linear Complex Valued Affine Projection Algorithm and Performance Analysis. To appear in IEEE Trans. on Signal Processing

  4. Siyuan Peng, Wee Ser, Badong Chen, Zhiping Lin, Robust Semi-Supervised Nonnegative Matrix Factorization for Image Clustering. To appear in Pattern Recognition.

  5. Yunfei Zheng, Badong Chen*, Shiyuan Wang, Weiqun Wang, Broad Learning System Based on Maximum Correntropy Criterion. To appear in IEEE Trans. Neural Networks and Learning Systems.

  6. Lujuan Dang, Badong Chen*, Shiyuan Wang, Wentao Ma, Pengju Ren, Robust Power System State Estimation with Minimum Error Entropy Unscented Kalman Filter. To appear in IEEE Trans. on Instrumentation & Measurement.

  7. Yuqing Xie, Yingsong Li, Yuantao Gu, Jiuwen Cao, Badong Chen*, Fixed-Point Minimum Error Entropy with Fiducial Points. To appear in IEEE Trans. on Signal Processing

  8. Yicong He, Fei Wang, Shiyuan Wang, Badong ChenDiffusion Adaptation Framework for Compressive Sensing Reconstruction. To appear in Signal Processing.

  9. Siyuan Peng, Wee Ser, Badong Chen, Zhiping Lin, Robust Orthogonal Nonnegative Matrix Tri-Factorization for Data Representation. To appear in Knowledge-Based Systems.

  10. Lei Xing, Badong Chen*, Jianji Wang, Shaoyi Du, Jiuwen Cao, Robust High-Order Manifold Constrained Low Rank Representation for Subspace Clustering. To appear in IEEE Transactions on Circuits and Systems for Video Technology.

  11. Chengzhu Yang, Yuantao Gu, Badong Chen, Hongbing Ma, H. C. So, Two-Dimensional Learned Proximal Gradient Algorithm for Fast Sparse Matrix Recovery. To appear in  IEEE Transactions on Circuits and Systems II: Express Briefs.

  12. Weiqun Wang, Weiguo Shi, Zengguang Hou, Badong Chen, Xu Liang, Shixin Ren, Jiaxing Wang, Liang Peng, Prediction of Human Voluntary Torques Based on Collaborative Neuromusculoskeletal Modeling and Adaptive Learning. To appear in IEEE Transactions on Industrial Electronics.

  13. Hao Wu, Ziyu Zhu, Jiayi Wang, Nanning Zheng, Badong Chen*, An encoding framework with brain inner state for natural image identification. To appear in IEEE Transactions on Cognitive and Developmental Systems

  14. Zhengda Qin, Badong Chen*, Nanning Zheng, Jose C. Principe, Augmented Space Linear Models. IEEE Transactions on Signal Processing, 68, 2724-2738, 2020. 

  15. Yulong Huang, Guangle Jia, Badong Chen, Yonggang Zhang, A New Robust Kalman Filter with Adaptive Estimate of Time-Varing Measurement Bias. To appear in IEEE Signal Processing Letters.

  16. Wanlu Shi, Yingsong Li, Badong Chen, A Separable Maximum Correntropy Adaptive Algorithm. To appear in  IEEE Transactions on Circuits and Systems II: Express Briefs.

  17. Yingying Zhu, Haiquan Zhao, Xiangping Zeng, Badong Chen, Robust Generalized Maximum Correntropy Criterion Algorithms for Active Noise Control. To appear in IEEE/ACM Transactions on Audio, Speech and Language Processing. 

  18. Chengzhu Yang, Yuantao Gu, Badong Chen, Hongbing Ma, H. C. So, Learning Proximal Operator Methods for Nonconvex Sparse Recovery with Theoretical Guarantee. To appear in IEEE Transactions on Signal Processing.

  19. Zhuang Li, Lei Xing, Badong Chen*, Adaptive Filtering with Quantized Minimum Error Entropy Criterion, Signal Processing, 172 (2020), 107534.

  20. Badong Chen, Lujuan Dang, Yuantao Gu, Nanning Zheng, Jose C. Principe, Minimum Error Entropy Kalman Filter. To appear in IEEE Transactions on Systems, Man and Cybernetics: Systems.

  21. Siyuan Peng, Wee Ser, Badong Chen, Lei Sun, Zhiping Lin, Robust Nonnegative Matrix Factorization with Local Coordinate Constraint for Image Clustering. Engineering Applications of Artificial Intelligence. 88, 103354, 2020.

  22. Lei Xing, Badong Chen*, Shaoyi Du, Yuantao Gu, Nanning Zheng, Correntropy Based Multi-view Subspace Clustering. To appear in IEEE Transactions on Cybernetics.

  23. Yi Yu, Hongsen He, Badong Chen, Jianghui Li, Youwen Zhang, Lu Lu, M-estimate Based Normalized Subband Adaptive Filter Algorithm: Performance Analysis and Improvements. IEEE/ACM Transactions on Audio, Speech and Language Processing. 28, pp. 225-239, 2019.

  24. Jie Yang, Jiuwen Cao, Tianlei Wang, Anke Xue, Badong Chen, Regularized correntropy criterion based semi-supervised ELM. Neural Networks, 122, 117-129, 2020.

  25. Yicong He, Fei Wang, Yingsong Li, Jing Qin, Badong Chen, Robust Matrix Completion via Maximum Correntropy Criterion and Half Quadratic Optimization. IEEE Transactions on Signal Processing, 68, pp. 181-195, 2019.

  26. Yun Zhao, Zejian Yuan, Badong ChenAccurate Pedestrian Detection by Human Pose Regression. IEEE Transactions on Image Processing, 29, pp.1591-1605, 2019.

  27. Nan Zhou, Badong Chen, Yuanhua Du, Tao Jiang, Jun Liu, Yangyang Xu, Maximum Correntropy Criterion based Robust Semi-supervised Concept Factorization for Image Representation. To appear in IEEE Transactions on Neural Networks and Learning Systems.

  28. Yang Yang, Dandan Fan, Shaoyi Du, Muyi Wang, Badong Chen, Yue Gao, Point Set Registration with Similarity and Affine Transformations Based on Bidirectional KMPE Loss. To appear in IEEE Transactions on Cybernetics.

  29. Zhengda Qin, Badong Chen*, Yuantao Gu, Nanning Zheng, Jose C. Principe, Probability Density Rank Based Quantization for Convex Universal Learning Machines. To appear in  IEEE Transactions on Neural Networks and Learning Systems.

  30. Chengzhu Yang, Xinyue Shen, Hongbing Ma, Badong Chen, Yuantao Gu, H. C. So, Weakly Convex Regularized Robust Sparse Recovery Methods with Theoretical Guarantees. IEEE Transactions on Signal Processing, 67(19), pp. 5046-5061, 2019.

  31. Yun Zhao, Zejian Yuan, Badong ChenTraining Cascade Compact CNN with Region-IoU for Accurate Pedestrian Detection. To appear in  IEEE Transactions on Intelligent Transportation Systems.

  32. Badong Chen, Lei Xing, Haiquan Zhao, Shaoyi Du, Jose C. Principe, Effects of Outliers on the Maximum Correntropy Estimation: A Robustness Analysis. To appear in  IEEE Transactions on Systems, Man and Cybernetics: Systems.

  33. Badong Chen, Xin Wang, Yingsong Li, Jose C. Principe, Maximum Correntropy Criterion with Variable Center. IEEE Signal Processing Letters, 26 (8), 1212-1216, 2019. (See also https://arxiv.org/abs/1904.06501)

  34. Lujuan Dang, Badong Chen*, Shiyuan Wang, Yuantao Gu, Jose C.Principe,  Kernel Kalman Filtering with Conditional Embedding and Maximum Correntropy Criterion. IEEE Transactions on Circuits and Systems I: Regular Papers, 66(11), 4265-4277, 2019.

  35. Wentao Ma, Jinzhe Qiu, Xinghua Liu, Gaoxi Xiao, Jiandong Duan, Badong Chen, Unscented Kalman Filter with Generalized Correntropy Loss for Robust Power System Forecasting-Aided State Estimation. IEEE Transactions on Industrial Informatics, 15(11), 6091-6100, 2019.

  36. Xi Liu, Zhigang Ren, Hongqiang Lyu, Zhihong Jiang, Pengju Ren, Badong Chen. Linear and Nonlinear Regression Based Maximum Correntropy Extended Kalman Filtering. To appear in IEEE Transactions on Systems, Man and Cybernetics: Systems.

  37. Hong Ji, Badong Chen*, Nathan M. Petro, Zejian Yuan, Nanning Zheng and Andreas Keil, Functional source separation for EEG-fMRI fusion: application to steady-state visual evoked potentials. Frontiers in Neurorobotics,13:24, 2019.

  38. Rongjing Bao, Haijun Rong, Zhixin Yang, Badong Chen, A Novel Prognostic Approach for RUL Estimation with Evolving Joint Prediction of Continuous and Discrete States. IEEE Transactions on Industrial Informatics,15(9), 5089-5098, 2019.

  39. Yingsong Li, Zhengxiong Jiang, Wanlu Shi, Xiao Han, Badong Chen, Blocked Maximum Correntropy Criterion Algorithm for Cluster-Sparse System Identification. IEEE Transactions on Circuits and Systems II: Express Briefs,66(11), pp. 1915-1919, 2019.

  40. Badong Chen, Rongjin Ma, Siyu Yu, Shaoyi Du, Jing Qin, Granger Causality Analysis Based on Quantized Minimum Error Entropy Criterion. IEEE Signal Processing Letters, vol. 26, no. 2, pp. 347-351, 2019.

  41. Yicong He, Fei Wang, Shiyuan Wang, Jiuwen Cao, Badong Chen, Maximum Correntropy Adaptation Approach for Robust Compressive Sensing Reconstruction. Information Sciences, vol. 480, pp. 381-402, 2019.

  42. Wentao Ma, Jinzhe Qiu, Junli Liang, Badong ChenLinear Kalman Filtering Algorithm with Noisy Control Input Variable. To appear in IEEE Transactions on Circuits and Systems II: Express Briefs.

  43. Jiuwen Cao, Kai Zhang, Hongwei Yong, Xiaoping Lai, Badong Chen, Zhiping Lin, Extreme Learning Machine with Affine Transformation Inputs in Activation Function.  To appear in  IEEE Trans. on Neural Networks and Learning Systems.

  44. Tianlei Wang, Jiuwen Cao, Xiaoping Lai, Badong Chen, Deep Weighted Extreme Learning Machine, Cognitive Computation, 10(6): 890-907, 2018.

  45. Xi Liu, Badong Chen*, Shiyuan Wang, Shaoyi Du, Correntropy Based Divided Difference Filtering for the Positioning of Ships. Sensors, vol. 18, no. 11, 2018.

  46. Badong Chen, Lei Xing, Nanning Zheng, Jose C. Principe, Quantized Minimum Error Entropy Criterion. IEEE Trans. on Neural Networks and Learning Systems, 30(5),1370-1380, 2019. (See also https://arxiv.org/abs/1710.04089)

  47. Siyu Yu, Nanning Zheng, Yongqiang Ma, Hao Wu, Badong ChenA Novel Brain Decoding Method: a Correlation Network Framework for Revealing Brain Connections. To appear in IEEE Transactions on Cognitive and Developmental Systems.

  48. Badong Chen, Yuanhao Li, Jiyao Dong, Na Lu, Jing Qin, Common Spatial Patterns Based on the Quantized Minimum Error Entropy Criterion. To appear in IEEE Transactions on Systems, Man and Cybernetics: Systems.

  49. Shaoyi Du, Guanglin Xu, Sirui Zhang, Xuetao Zhang, Yue Gao, Badong ChenRobust Rigid Registration Algorithm Based on Pointwise Correspondence and Correntropy. Pattern Recognition Letters, 132 (2020), 91-98.

  50. Nan Zhou, Hong Cheng, Jing Qin, Yuanhua Du,  Badong ChenRobust High-Order Manifold Constraint Sparse Principal Component Analysis for Image Representation. To appear in IEEE Transactions on Circuits and Systems for Video Technology.

  51. Yicong He, Fei Wang, Shiyuan Wang, Pengju Ren, Badong ChenMaximum Total Correntropy Diffusion Adaptation over Networks with Noisy Links. IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 66, no. 2, pp. 307-311, 2019.

  52. Shiyuan Wang, Lujuan Dang,  Badong Chen, Shukai Duan, Lidan Wang, Chi K. Tse, Random Fourier Filters under Maximum Correntropy Criterion. IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 65, no. 10, pp. 3390-3403, 2018

  53. Hong Ji, Nathan Petro, Badong Chen*, Zejian Yuan, Jianji Wang, Nanning Zheng, Andreas Keil, Cross Multivariate correlation coefficients as screening tool for analysis of concurrent EEG-fMRI recordings. Journal of Neuroscience Research, vol. 96, no. 7, pp. 1159-1175, 2018. 

  54. Siyuan Peng, Wee Ser, Badong Chen*, Lei Sun, Zhiping Lin, Robust constrained adaptive filtering under minimum error entropy criterion. IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 65, no. 8, pp. 1119-1123, 2018.

  55. Badong Chen, Xin Wang, Na Lu, Shiyuan Wang, Jiuwen Cao, Jing Qin, Mixture correntropy for robust learning. Pattern Recognition, vol. 79, pp. 318-327, 2018. 

  56. Wentao Ma, Dongqiao Zheng, Zhiyu Zhang, Badong Chen, Proportionate NLMS with unbiasedness criterion for sparse system identification in the presence of input and output noises. IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 65, no. 11, pp. 1808-1812, 2018.

  57. Nan Zhou, Yangyang Xu, Hong Cheng, Zejian Yuan, Badong Chen, Maximum correntropy criterion based sparse subspace learning for unsupervised feature selection. IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 2, pp. 404-417, 2018. 

  58. Lei Sun, Zuren Feng, Badong Chen, Na Lu, A contralateral channel guided model for EEG based motor imagery classification. Biomedical Signal Processing and Control, vol. 41, pp. 1-9, 2018.

  59. Lu Lu, Haiquan Zhao, Badong Chen, Robust adaptive algorithm for smart antenna system with α-stable noise. IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 65, no. 11, pp. 1783-1787, 2018. 

  60. Yongqiang Ma, Hao Wu, Mengjiao Zhu, Pengju Ren, Nanning Zheng, Badong Chen*, Reconstruction of visual image from functional magnetic resonance imaging using spiking neuron model. IEEE Transactions on Cognitive and Developmental Systems, vol. 10, no. 3, pp. 624-636, 2018. 

  61. Qingqing Zheng, Fengyuan Zhu, Jing Qin, Badong Chen, Pheng-Ann Heng, Sparse support matrix machine. Pattern Recognition, vol. 76, pp. 715-726, 2018. 

  62. Shiyuan Wang, Lujuan Dang, Badong Chen, Chengxiu Ling, Lidan Wang, Shukai Duan, Kernel online learning algorithm with scale adaptation. IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 65, no. 11, pp. 1788-1792, 2018.

  63. Jianji Wang, Nanning Zheng, Feiyue Wang, Badong Chen, Pei Chen, Bao Xi, Shitao Chen, Ziyi Liu, Multivariate correlation entropy and law discovery in large data sets. IEEE Intelligent Systems, vol 33, no. 5, pp. 47-54, 2018.

  64. Lu Lu, Haiquan Zhao, Badong Chen, Time series prediction using kernel adaptive filter with least mean absolute third loss function. Nonlinear Dynamics, vol. 90, no. 2, pp. 999-1013, 2017.

  65. Bin Xu, Daipeng Yang, Zhongke Shi, Yongping Pan, Badong Chen, Fuchun Sun, Online recorded data based composite neural control of strict-feedback systems with application to hypersonic flight dynamics. IEEE Trans. on Neural Networks and Learning Systems, vol.29, no. 8, pp. 3839-3849, 2018.

  66. Badong Chen, Lei Xing, Xin Wang, Jing Qin, Nanning Zheng, Robust learning with kernel mean p-power error loss. IEEE Transactions on Cybernetics. vol. 48, no. 7, pp. 2101-2113, 2017. (See also https://arxiv.org/abs/1612.07019)

  67. Rongjing Bao, Haijun Rong, Plamen Angelov, Badong Chen, Pak-kin Wong, Correntropy-based evolving fuzzy neural system. IEEE Transactions on Fuzzy Systems, vol. 26, no. 3, pp. 1324-1338, 2017. 

  68. Wentao Ma, Jiandong Duan, Haiquan Zhao, Badong Chen*, Chebyshev functional link artificial neural network based on correntropy induced metric. Neural Processing Letters, vol. 47, no. 1, pp. 233-252, 2018

  69. Fei Wang, Yicong He, Shiyuan Wang, Badong Chen, Maximum total correntropy adaptive filtering against heavy-tailed noises, Signal Processing, vol.141, pp. 84-95, 2017.  

  70. Weihua Wang, Jihong Zhao, Hua Qu, Badong Chen*, A correntropy inspired variable step-size sign algorithm against impulsive noises, Signal Processing, vol.141, pp.168-175, 2017. 

  71. Shitao Chen, Songyi Zhang, Jinghao Shang, Badong Chen, Nanning Zheng, Brain inspired cognitive model with attention for self-driving cars, To appear in IEEE Transactions on Cognitive and Developmental Systems. (See also arXiv:1702.05596)

  72. Siyuan Peng, Badong Chen*,  Lei Sun, Wee Ser, Zhiping Lin, constrained maximum correntropy adaptive filtering, Signal Processing, vol. 140, pp. 116-126, 2017. (See also arXiv:1610.01766)

  73. Jing Yang, Feng Ye, Hai-Jun Rong, Badong Chen, Recursive least mean p-power extreme learning machine, Neural Networks, vol. 91, pp. 22-33, 2017. 

  74. Fei Zhu, Abderrahim Halimi, Paul Honeine, Badong Chen, Nanning Zheng, Correntropy maximization via ADMM-application to robust hyperspectral unmixing, IEEE Trans. on Geoscience and Remote Sensing, vol. 55, no. 9, pp. 4944-4955, 2017. (See also arXiv:1602.01729)

  75. Wentao Ma, Xinyu Qiu, Jiandong Duan, Yingsong Li, Badong Chen*,  Kernel Recursive Generalized Mixed Norm Algorithm, Journal of the Franklin Institute, vol. 355, no. 4, pp.1596-1613, 2018.

  76. Dapeng Chen, Zejian Yuan, Jingdong Wang, Badong Chen, Gang Hua, Nanning Zheng, Exemplar-Guided Similarity Learning on Polynomial Kernel Feature Map for Person Re-identification, International Journal of Computer Vision (IJCV), vol.123, no. 3, pp. 392-414, 2017. 

  77. Nanning Zheng, Ziyi Liu, Pengju Ren, Yongqiang Ma, Siyu Yu, Jianru Xue, Badong Chen, Feiyue Wang, Hybrid-augmented intelligence: collaboration and cognition, Frontiers of Information Technology & Electronic Engineering, vol. 18, no. 2, pp. 153-179, 2017. 

  78. Badong Chen, Lei Xing, Bin Xu, Haiquan Zhao, Nanning Zheng, Jose Principe, Kernel Risk-Sensitive Loss: Definition, Properties and Application to Robust Adaptive Filtering. IEEE Trans. on Signal Processing, vol. 65, no.11, pp. 2888-2901, 2017. (See also arXiv:1608.00441

  79. Xi Liu, Badong Chen*Bin Xu, Zongze Wu, Paul Honeine, Maximum Correntropy Unscented Filter, International Journal of Systems Science, vol. 48, no. 8, pp. 1607-1615, 2017. 

  80. Badong Chen, Lei Xing, Bin Xu, Haiquan Zhao, Jose C. Principe, Insights into the Robustness of Minimum Error Entropy Estimation. IEEE Trans. on Neural Networks and Learning Systems, vol. 29, no. 3, pp. 731-737, 2018

  81. Xi Liu, Badong Chen*,  Jiuwen Cao, Bin Xu, Haiquan Zhao, State space least p-power filter. Digital Signal Processing vol.63, pp.1-9, 2017. 

  82. Songlin Zhao, Badong Chen*, Zheng Cao, Pingping Zhu, Jose C. Principe, Self-Organizing Kernel Adaptive Filtering. EURASIP Journal on Advances in Signal Processing, 2016: 106,DOI: 10.1186/s13634-016-0406-3. 

  83. Yi Yu, Haiquan Zhao, Badong Chen, Sparse normalized subband adaptive filter algorithm with l0-norm constraint. Journal of the Franklin Institute, vol. 353, no. 18, pp. 5121-5136, 2016. 

  84. Lu Lu, Haiquan Zhao, Badong ChenCollaborative adaptive Volterra filters for nonlinear system identification in α-stable noise environments. Journal of the Franklin Institute,vol. 353, no.14, pp. 4500-4525, 2016. 

  85. Badong Chen, Xi Liu, Haiquan Zhao, Jose C. Principe, Maximum Correntropy Kalman Filter. Automatica, vol. 76, pp.70-77, 2017. (See also arXiv:1509.04580

  86. Wentao Ma, Badong Chen*Jiandong Duan, Haiquan Zhao, Diffusion maximum correntropy criterion algorithms for robust distributed  estimation. Digital Signal Processing, vol. 58, pp. 10-19, 2016. (See also  arXiv:1508.01903v2)

  87. Zhirong Luan, Hua Qu, Jihong Zhao, Badong Chen, Jose C. Principe, Correntropy Induced Joint Power and Admission Control Algorithm for Dense Small Cell Network. IET Communications, vol. 10, no. 16, pp. 2154-2161, 2016

  88. Xi Liu, Hua Qu, Jihong Zhao, Badong Chen*, State Space Maximum Correntropy Filter. Signal Processing, vol. 130, pp. 152-158, 2017. 

  89. Badong Chen, Jianji Wang, Haiquan Zhao, Jose C. Principe, Insights into Entropy as a Measure of Multivariate Variability, Entropy, vol. 18, no. 5, p.196, 2016. 

  90. Bin Xu, Fuchun Sun, Yongping Pan,  Badong ChenDisturbance Observer Based Composite Learning Fuzzy Control of Nonlinear Systems with Unknown Dead Zone. IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 47, no. 8, pp.1854-1862, 2017. 

  91. Badong Chen, Lei Xing, Haiquan Zhao, Nanning Zheng, Jose C. Principe, Generalized correntropy for robust adaptive filtering. IEEE Trans. on Signal Processing, vol. 64, no. 13, pp. 3376-3387, 2016.  

  92.  Haiquan Zhao, Xiangping Zeng, Zhengyou He, Zheng Cao, Shujian Yu, Badong Chen, Improved functional link artificial neural network via convex combination for nonlinear active noise control. Applied Soft Computing, vol. 42, pp. 351-359, 2016. 

  93. Junli Liang, Dong Wang, Li Su, Badong Chen, Hongyang Chen, H. C. So, Robust MIMO Radar Target Localization via Nonconvex Optimization. Signal Processing, vol. 122, pp. 33-38, 2016 

  94.  Lu Lu, Haiquan Zhao, Badong Chen, Improved Variable Forgetting Factor Recursive Algorithm based on the Logarithmic Cost for Volterra System Identification. IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 63, no. 6, pp. 588-592, 2016

  95. Badong Chen, Junli Liang, Nanning Zheng, Jose C. Principe, Kernel Least Mean Square with Adaptive Kernel Size. Neurocomputing vol. 191, pp. 95-106, 2016. (See also http://arxiv.org/abs/1401.5899)

  96. Shengyu Nan, Lei Sun, Badong Chen*, Zhiping Lin, Kar-Ann Toh, Density-dependent quantized least squares support vector machine for large data sets. IEEE Trans. on Neural Networks and Learning Systems, vol. 28, no. 1, pp. 94-106, 2017. 

  97. Junli Liang, Guoyang Yu,  Badong Chen Minghua Zhao,  Decentralized Dimensionality Reduction for Distributed  Tensor  Data across Sensor Networks.  IEEE Trans. on Neural Networks and Learning Systems, vol.27, no.11, pp. 2174-2186, 2016. 

  98. Zhirong Luan, Hua Qu, Jihong Zhao, Badong Chen*, Low Complexity Distributed Max-Throughput Algorithm for User Association in Heterogeneous Network. Wireless Personal Communicationsvol. 87 no. 4, pp. 1147-1156, 2016. 

  99.  Badong Chen, Jianji Wang, Haiquan Zhao, Nanning Zheng, Jose C. Principe, Convergence of a Fixed-Point Algorithm under Maximum Correntropy Criterion.IEEE Signal Processing Letters, vol. 22, no. 10, pp. 1723-1727, 2015. 

  100.  Zongze Wu, Jiahao Shi, Xie Zhang, Wentao Ma, Badong Chen*, Kernel Recursive Maximum Correntropy. Signal Processing, vol. 117, pp.11-26, 2015.   

  101. Liangjun Chen, Hua Qu, Jihong Zhao, Badong Chen*, Jose C. Principe, Efficient and Robust Deep Learning with Correntropy Induced Loss Function. Neural Computing and Applicationsvol. 27, no. 4, pp. 1019-1031, 2016. 

  102.  Wentao Ma, Hua Qu, Guan Gui, Li Xu, Jihong Zhao, Badong Chen*,  Maximum correntropy criterion based sparse adaptive filtering algorithms for robust channel estimation under non-Gaussian environments. Journal of the Franklin Institutevol. 352, pp. 2708-2727, 2015.  

  103. Badong Chen, Lei Xing, Zongze Wu, Junli Liang, Jose C. Principe, Nanning Zheng, Smoothed Least Mean  p-Power Error Criterion for Adaptive Filtering.Digital Signal Processing, vol. 40, pp. 154-163, 2015.  

  104.  Jose C. Principe, Badong Chen, Universal Approximation with Convex Optimization: Gimmick or Reality? IEEE Computational Intelligence Magazine. vol. 10, no. 2, pp. 68-77, 2015

  105. Badong Chen, Lei Xing, Junli Liang, Nanning Zheng, Jose C. Principe, Steady-state Mean-square Error Analysis for Adaptive Filtering under the Maximum Correntropy Criterion. IEEE Signal Processing Letters,  vol. 21, no. 7, pp. 880-884, 2014. 

  106.  Pingping Zhu, Badong Chen, Jose C. Principe, Learning Nonlinear Generative Models of Time Series with a Kalman Filter in RKHS. IEEE Trans. on Signal Processing,  vol. 62, no. 1, pp. 141-155, 2014. 

  107. Badong Chen, Zejian Yuan, Nanning Zheng, Jose C. Principe, Kernel minimum error entropy algorithm. Neurocomputing, vol. 121, pp. 160-169, 2013. 

  108. Songlin Zhao, Badong Chen, Jose. C. Principe, Fixed budget quantized kernel least mean square algorithm, Signal Processing, vol. 93, pp. 2759-2770, 2013

  109.  Badong Chen, Songlin Zhao, Pingping Zhu, Jose C. Principe, Quantized kernel recursive least squares algorithm, IEEE Trans. on Neural Networks and Learning Systems,  vol. 24, no. 9, pp. 1484-1491, 2013. 

  110. Bilal Fadlallah, Badong Chen, Andreas Keil, Jose C. Principe, Weighted permutation entropy: a complexity measure for time series incorporating amplitude information, Physical Review E, vol. 87, no. 2, p. 022911, 2013. 

  111. Lin Li, Park Il Memming, Brockmeier Austin, Badong Chen, Sohan Seth, Francis Joseph, Sanchez Justin, Jose. C. Principe, Adaptive inverse control of neural spatiotemporal spike patterns with a reproducing kernel Hilbert space (RKHS) framework, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol 21, no. 4, pp. 532-543, 2013. 

  112. Badong Chen, Jose. C. Principe, Maximum correntropy estimation is a smoothed MAP estimation, IEEE Signal Processing Letters, vol. 19, no. 8, pp. 491-494, 2012. 

  113. Badong Chen, Jose. C. Principe, Some further results on the minimum error entropy estimation, Entropy, vol. 14, no. 5, pp. 966-977, 2012. 

  114. Badong Chen, Songlin Zhao, Pingping Zhu, Jose. C. Principe, Mean square convergence analysis of the kernel least mean square algorithm, Signal Processing,vol. 92, pp. 2624-2632, 2012. 

  115. Pingping Zhu, Badong Chen, Jose. C. Principe, A novel extended kernel recursive least squares algorithm, Neural Networks, vol. 32, pp. 349-357, 2012. 

  116.  Badong Chen, Pingping Zhu, Jose. C. Principe,Survival information potential: a new criterion for adaptive system training. IEEE Trans. on Signal Processing, vol. 60, no. 3, pp. 1184- 1194, 2012. 

  117.  Badong Chen, Songlin Zhao, Pingping Zhu, Jose. C. Principe, Quantized kernel least mean square algorithm. IEEE Trans. on Neural Networks and Learning Systems, vol. 23, no. 1, pp. 22-32, 2012. 

  118. Badong Chen, Yu Zhu, Jinchun Hu, Jose. C. Principe,Stochastic gradient identification of Wiener system with maximum mutual information criterion, IET Signal Processing,  vol. 5, no. 6, pp. 589-597, 2011

  119. Yu Liu, Ming Zhang, Yu Zhu, Jin Yang, Badong Chen, Optimization of voice coil motor to enhance dynamic response based on an improved magnetic equivalent circuit model, IEEE Transactions on Magnetics,vol. 47, no. 9, pp. 2247-2251, 2011. 

  120. Badong Chen, Yu Zhu, Jinchun Hu, Jose. C. Principe,Delta-entropy: Definition, properties and applications in system identification with quantized data,Information Sciences, vol. 181, no. 7, pp. 1384-1402, 2011. 

  121. Badong Chen, Yu Zhu, Jinchun Hu, Mean-Square Convergence Analysis of ADALINE Training with Minimum Error Entropy Criterion, IEEE Transactions on Neural Networks,  vol. 21, no.1, pp. 1168-1179, 2010. 

  122. Badong Chen, Yu Zhu,  Jinchun Hu, Ming Zhang, A New Interpretation on the MMSE as a Robust MEE Criterion, Signal Processing, vol.90, no.12, pp.3313-3316, 2010. 

  123. Badong Chen, Yu Zhu, Jinchun Hu, Ming Zhang, On optimal estimations with minimum error entropy criterion, Journal of the Franklin Institute, vol.347, no.2, pp. 545-558, 2010. 

  124. Wei Min, Ming Zhang, Yu Zhu, Badong Chen, Guanghong Duan, Jinchun Hu, and Wensheng Yin, Analysis and Optimization of a New 2-D Magnet Array for Planar Motor. IEEE Transactions on Magnetics, vol. 46, no. 5, pp. 1167-1171, 2010. 

  125. Badong Chen, Jinchun Hu, Yu Zhu, Zengqi Sun, Parameter identifiability with Kullback- Leibler information divergence criterion.  International Journal of Adaptive Control and Signal Processing,  vol. 23, no. 10, pp. 940-960, 2009. 

  126. Badong Chen, Jinchun Hu, Yu Zhu, Zengqi Sun, Information theoretic interpretation of error criteria. Acta Automatica Sinica, vol. 35, no.10, pp. 1302-1309, 2009. 

  127. Badong Chen, Jinchun Hu, Hongbo Li, and Zengqi Sun, Adaptive filter under the maximum mutual information criterion.   Neurocomputing, vol. 71, pp. 3680-3684, 2008. 

  128. Badong Chen, Jinchun Hu, Li Pu, and Zengqi Sun, Stochastic gradient algorithm under (h, phi)-entropy criterion. Circuits, Systems and Signal Processing, vol. 26, no. 6, pp. 941-960, 2007. 

Conference Papers

  1. Shengqi Wang, Badong Chen, Split-Stack 2D-CNN for Hand Gestures Recognition Based on Surface EMG Decoding, 2020 Chinese Automation Congress (CAC2020), Nov.6-8, 2020, Shanghai, China.

  2. Xuemei Qin, Shengqi Wang, Kezhen Zhang, Badong Chen, Robust Fisher Linear Discriminant Analysis with Generalized Correntropic Loss Function, 2020 Chinese Automation Congress (CAC2020), Nov. 6-8, Shanghai, China.

  3. Qihang Yang, Xuan Zhang, Badong ChenMI3DNet: A Compact CNN for Motor Imagery EEG Classification with Visualizable Dense Layer Parameters, 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2020), Montreal Canada, Jul 20-24, 2020.

  4. Mingfei Lu, Lei Xing, Nanning Zheng, Badong ChenRobust Sparse Channel Estimation Based on Maximum Mixture Correntropy  Criterion. The 2020 International Joint Conference on Neural Networks (IJCNN 2020), Glasgow, Scotland, UK, Jul 19-24, 2020.

  5. Yongqiang Ma,  Elisa Donati, Badong Chen, Pengju Ren, Nanning Zheng, Giacomo Indiveri, Neuromorphic Implementation of a Recurrent Neural Network for EMG Classification, 2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 31 Aug.-2. Sept., 2020, Genova, Italy.

  6. Xuemei Qin, Yunfei Zheng, Badong ChenExtract EEG Features by Combining Power Spectral Density and Correntropy Spectral Density, 2019 Chinese Automation Congress (CAC2019), Nov.22-24, 2019, Hangzhou, Zhejiang, China.

  7. Dawei Huang, Badong Chen, Surface EMG Decoding for Hand Gestures Based on Spectrogram and CNN-LSTM, the 2nd China Symposium on Cognitive Computing and Hybrid Intelligence (CCHI 2019), Sep. 21-22, 2019, Xi'an, China.

  8. Yunfei Zheng, Xuemei Qin, Zhengkai Xi, Badong ChenMixed-Norm Based Broad Learning System for EEG Classification, 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2019), Berlin Germany 23-27 July 2019.

  9. Siyu Yu, Nanning Zheng, Hao Wu, Ming Du, Badong ChenExploring Brain Effective Connectivity in Visual Perception Using a Hierarchical Correlation, 15th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2019), Crete, Greece, May 24-26, 2019. (Best Paper Award)

  10. Hao Wu, Badong Chen, Zhentao Zuo, Tiangang Zhou, Yan Zhuo, Yihong Gong, Zejian Yuan, Nanning Zheng, Representation of Perceptual Organization in Early Visual Cortex, OHBM Annual Meeting (OHBM 2019), Rome, Italy, June 9-13, 2019.

  11. Tianlei Wang, Xiaoping Lai, Jiuwen Cao,Chi-Man Vong, Badong ChenAn enhanced hierarchical extreme learning machine with random sparse matrix based autoencoder. The 44th International Conference on Acoustics, Speech, and Signal Processing, 2019 (ICASSP 2019), Brighton, UK, May 12-17, 2019.

  12. Siyuan Peng, Wee Ser, Zhiping Lin, Badong ChenDual Graph Regularized Sparse Nonnegative Matrix Factorization for Data Representation. 2019 IEEE International Symposium on Circuits and Systems (ISCAS2019), May 26-29, 2019, Sapporo, Japan.

  13. Yiting Xu, Shaoyi Du, Teng Wan, Yang Yang, Badong Chen, Yue Gao, Building Correspondence Based on Matching Triangles for Partial Registration, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2018), Miyazaki, Japan, October 7-10, 2018.

  14. Teng Wan, Shaoyi Du, Yiting Xu, Guanglin Xu, Yang Yang, Yue Gao, Badong Chen, Precise Point Set Registration with Color Assisted and Correntropy for 3D Reconstruction, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2018), Miyazaki, Japan, October 7-10, 2018.

  15. Rongjin Ma, Badong Chen, Jianfeng Xiao, Jingli Shao, Causality analysis based on Matrix Transfer Entropy. 2018 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2018), Sept. 17-20, 2018, Aalborg, Denmark. 

  16. Yunfei Zheng, Jiyao Dong, Wentao Ma, Badong ChenKernel Adaptive Hammerstein Filter. The 26th European Signal Processing Conference (EUSIPCO 2018), Rome, Italy, September 3-7, 2018.

  17. Guanglin Xu, Shaoyi Du, Dixiao Cui, Sirui Zhang, Xuetao Zhang, Badong Chen, Jianru Xue, Yue Gao, Precise Point Set Registration Using Point-to-Plane Distance and Correntropy for Lidar Based Localization. The 2018 IEEE Intelligent Vehicles Symposium (IV'18), Changshu, Suzhou, China, June 26-30, 2018.

  18. Jiyao Dong, Yunfei Zheng and Badong Chen, A Unified Framework of Random Feature KLMS Algorithms and Convergence Analysis. The 2018 International Joint Conference on Neural Networks (IJCNN 2018), Rio, Brazil, Jul 8-13, 2018.  

  19. Hai-Jun Rong, Changjun Li, Rong-Jing Bao and Badong Chen, Incremental Adaptive EEG Classification of Motor Imagery-based BCI. The 2018 International Joint Conference on Neural Networks (IJCNN 2018), Rio, Brazil, Jul 8-13, 2018.

  20. Lei Xing, Yunqi Mi, Yuanhao Li, Badong Chen, Robust Locality Preserving Projection Based on Kernel Risk-Sensitive Loss. The 2018 International Joint Conference on Neural Networks (IJCNN 2018), Rio, Brazil, Jul 8-13, 2018.

  21. Siyuan Peng,Wee Ser, Zhiping Lin, Badong Chen, Robust sparse nonnegative matrix factorization based on maximum correntropy criterion. The 2018 IEEE International Symposium on Circuits and Systems (ISCAS 2018), Florence, Italy, May 27-30, 2018. 

  22. Kun Qin, Lei Sun, Shengmin Zhou, Badong Chen, Beom-Seok Oh, Zhiping Lin, A Normalized Mutual Information Estimator Compensating Variance Fluctuations for Motion Detection.The 8th International Conference on Extreme Learning Machines (ELM2017),Yantai, China, October 4-7, 2017. (Best Paper Award)  

  23. Jiyao Dong, Badong Chen, Na Lu, Haixian Wang, Nanning Zheng, Correntropy Induced Metric Based Common Spatial Patterns. 2017 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2017), Sept. 25-28, 2017,Roppongi, Tokyo, Japan. 

  24. Yang Yang, Weile Chen, Badong Chen, Shaoyi Du, Lei Xiong, Robust 2D Point Set Matching with Kernel Mean p-Power Error Loss. 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2017), Banff, Canada, October 5-8, 2017. 

  25. Wentao Ma,Dongqiao Zheng, Zhiyu Zhang, Badong Chen, Bias-Compensated Normalized Least Mean Absolute Deviation Algorithm with Noisy Input. The 20th International Conference on Information Fusion (FUSION 2017), Xi'an China,July 10–13, 2017. 

  26. Tao Chen, Badong Chen, Wentao Ma, Lei Sun, Quaternion Least Mean Kurtosis Algorithm for Adaptive Filtering of 3D and 4D Signal Processes. The 20th International Conference on Information Fusion (FUSION 2017), Xi'an China,July 10–13, 2017. 

  27. Jingjie Li, Hao Wu, Badong Chen. Visual working memory affects the perception of ambiguous SFM (structure-from-motion) by enhance internally directed attention, Poster presented at the 17th Annual Meeting of the Vision Sciences Society. Naples, Florida, 2017. (Poster)

  28. Zhengda Qin, Badong Chen, Nanning Zheng, Random Fourier Feature Kernel Recursive Least Squares. The 2017 International Joint Conference on Neural Networks (IJCNN 2017), Anchorage, Alaska, USA, May 14-19, 2017. 

  29. Badong Chen, Zhengda Qin, Lei Sun, Steady-state mean square performance of a sparsified kernel least mean square algorithm. The 42th International Conference on Acoustics, Speech, and Signal Processing, 2017 (ICASSP 2017), New Orleans, USA, March 5-9, 2017.

  30. Siyuan Peng, Zongze Wu, Wentao Ma, Badong Chen, Kernel least mean square based on conjugate gradient. The 42th International Conference on Acoustics, Speech, and Signal Processing, 2017 (ICASSP 2017), New Orleans, USA, March 5-9, 2017. 

  31. Yaohui Han, Badong Chen, Xuetao Zhang, Sex Difference of Saccade Patterns in Emotional Facial Expression Recognition. Third International Conference on Cognitive Systems and Information Processing (ICCSIP 2016), Beijing, China, November 19-23, 2016. 

  32. Siyuan Peng, Zongze Wu, Yajing Zhou, Badong Chen, Adaptive Convex Combination Filter under Minimum Error Entropy Criterion, IEEE DSP 2016, Beijing, China, October 16-18, 2016. 

  33. Badong Chen, Zhengda Qin, Nanning Zheng, Jose C. Principe, Kernel adaptive filtering subject to equality function constraints, EUSIPCO 2016, Budapest, Hungary,  August 29- September 02, 2016. 

  34. Dapeng Chen, Zejian Yuan, Badong Chen, Nanning Zheng, Similarity Learning with Spatial Constraints for Person Re-identification, CVPR 2016, Las Vegas, Nevada, USA, June 26 - July 1, 2016.

  35. Siyuan Peng, Zongze Wu, Badong Chen, Constrained least mean p-power error algorithm. The 35th Chinese Control Conference (CCC2016), Chengdu, China, July 27-29, 2016. 

  36. Xi Liu, Hua Qu, Jihong Zhao,  Badong Chen, Extended Kalman Filter under Maximum Correntropy Criterion. The International Joint Conference on Neural Networks, 2016 (IJCNN 2016), Vancouver, Canada, July 25-29, 2016. 

  37. Bao Xi, Lei Sun, Badong Chen, Jianji Wang, Nanning Zheng, Jose C. Principe, Density-dependent Quantized Kernel Least Mean Square. The International Joint Conference on Neural Networks, 2016 (IJCNN 2016), Vancouver, Canada, July 25-29, 2016. 

  38. Lei Sun, Badong Chen, Jie Yang, Ronghua Zhou, Qing Nie and Aihua Wang, A Dictionary Based Survival Error Compensation for Robust Adaptive Filtering.The International Joint Conference on Neural Networks, 2016 (IJCNN 2016), Vancouver, Canada, July 25-29, 2016. 

  39. Yicong He, Fei Wang, Jing Yang, Haijun Rong, Badong Chen, Kernel Adaptive Filtering under Generalized Maximum Correntropy Criterion.The International Joint Conference on Neural Networks, 2016 (IJCNN 2016), Vancouver, Canada, July 25-29, 2016. 

  40. Fei Zhu, Abderrahim Halimi, Paul Honeine, Badong Chen, Nanning Zheng, ADMM for Maximum Correntropy Criterion. The International Joint Conference on Neural Networks, 2016 (IJCNN 2016), Vancouver, Canada, July 25-29, 2016. 

  41. Zheng Cao, Shujian Yu, Jose C. Principe, Guibiao Xu, Badong Chen, Multiple Adaptive Kernel Size KLMS for Beijing PM2.5 Prediction.The International Joint Conference on Neural Networks, 2016 (IJCNN 2016), Vancouver, Canada, July 25-29, 2016. 

  42. Qihang Yu, Yongqiang Ma, Badong Chen, Jose Principe, Nanning Zheng and Pengju Ren, A Reconfigurable Parallel FPGA Accelerator for the Adapt-Then-Combine Diffusion LMS Algorithm. 2016 IEEE Int'l Symposium on Circuits & Systems (ISCAS 2016), Montreal, Canada, May 22-26, 2016. 

  43. Lei Sun, Badong Chen,  Kar-Ann Toh, Zhiping Lin,  A Parameter-free Cauchy-Schwartz Information Measure for Independent Component Analysis. The 41th International Conference on Acoustics, Speech, and Signal Processing, 2016 (ICASSP 2016), Shanghai, China, March 20-25, 2016. 

  44. Yuanliu Liu, Zejian Yuan, Badong Chen, Jianru Xue, Nanning Zheng, Illumination Robust Color Naming via Label Propagation. Proc. ICCV 2015, Santiago, Chile. 

  45. Siyuan Peng, Zongze Wu, Xie Zhang, Badong Chen, Nonlinear Spline Adaptive Filtering under Maximum Correntropy Criterion. IEEE TENCON 2015,  Macau, China, Nov. 1-4, 2015. 

  46. Hong Ji, Mehrnaz Khodam Hazrati, Badong Chen, Yonghong Liu, Andreas Keil, Jose Principe, Long-term Scalp Epileptic EEG Quantification with GMA Dynamics. The 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'15), Milano, Italy, August 25-29, 2015. 

  47. Ren Wang, Xuelu Chen, Tong Jian, Badong Chen, Robust adaptive inverse control based on maximum correntropy criterion. The 17th IFAC Symposium on System Identification (SYSID 2015), Beijing, China, Oct. 19-21, 2015. 

  48. Weihua Wang, Jihong Zhao, Hua Qu, Badong Chen,  Jose C. Principe, An Adaptive Kernel Width Update Method of Correntropy for Channel Estimation. 2015 IEEE International Conference on Digital Signal Processing (DSP 2015) , Singapore, July 21-24, 2015. 

  49. Xiaowei Ren, Qihang Yu, Badong Chen, Nanning Zheng, Pengju Ren, A Reconfigurable Parallel FPGA Accelerator for the Kernel Affine Projection Algorithm. 2015 IEEE International Conference on Digital Signal Processing (DSP 2015) , Singapore, July 21-24, 2015. 

  50. Hong Ji, Xiaohan Yang, Badong Chen, Trimmed Diffusion Least Mean Squares for Distributed Estimation.  2015 IEEE International Conference on Digital Signal Processing (DSP 2015) , Singapore, July 21-24, 2015. 

  51. Xiguang Xu, Hua Qu, Jihong Zhao, Badong Chen,Cooperative Spectrum Sensing in Cognitive Radio Networks with Kernel Least Mean Square. The 5th International Conference on Information Science and Technology (ICIST 2015), Changsha, Hunan, China, April 24–26, 2015. 

  52. Ren wang, Badong Chen, Nanning Zheng, Jose C. Principe, A Variable Step-Size Adaptive Algorithm under Maximum Correntropy Criterion. The International Joint Conference on Neural Networks, 2015 (IJCNN 2015), Killarney, Ireland, July 12-17, 2015. (Best Poster Paper, Honorable Mention, PDF)

  53.  Badong Chen,  Ren wang, Nanning Zheng, Jose C. Principe, On Initial Convergence Behavior of the Kernel Least Mean Square Algorithm. The International Joint Conference on Neural Networks, 2015 (IJCNN 2015), Killarney, Ireland, July 12-17, 2015. 

  54. Weihua Wang, Jihong Zhao, Hua Qu, Badong Chen,  Jose C. Principe, A Switch Kernel Width Method of Correntropy for Channel Estimation.  The International Joint Conference on Neural Networks, 2015 (IJCNN 2015), Killarney, Ireland, July 12-17, 2015. 

  55. Wentao Ma, Hua Qu, Jihong Zhao, Badong Chen,  Jose C. Principe, Sparsity Aware Minimum Error Entropy Algorithms. The 40th International Conference on Acoustics, Speech, and Signal Processing, 2015 (ICASSP 2015), Brisbane, Australia, April 19-24, 2015. 

  56. Lei Sun, Kar-Ann Toh, Zhiping Lin, Badong Chen, Empirical Survival Error Potential Weighted Least Squares for Binary Pattern Classification. The 13th International Conference on Control, Automation, Robotics and Vision (ICARCV 2014), December 10-12, 2014, Marina Bay Sands, Singapore. 

  57. Xiaohan Yang, Hua Qu, Jihong Zhao, Badong Chen, Hybrid Affine Projection Algorithm. The 13th International Conference on Control, Automation, Robotics and Vision (ICARCV 2014), December 10-12, 2014, Marina Bay Sands, Singapore. 

  58.  Hong Ji, Badong Chen, Zejian Yuan, Nanning Zheng, Andreas Keil, Jose C. Principe, Online nonlinear Granger causality detection by quantized kernel least mean square. The 21st International Conference on Neural Information Processing (ICONIP2014), Kuching, Sarawak, Malaysia, 03-06 November 2014. 

  59. Lei Guo, Hua Qu, Jihong Zhao, Badong Chen, Vector Quantization Using Survival Cauchy-Schwartz Divergence. 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2014), Sept. 21-24, 2014, Reims, France. 

  60.  Xiaowei Ren, Pengju Ren, Badong Chen,  Jose. C. Principe, Nanning Zheng,  A Reconfigurable Parallel Acceleration Platform for Evaluation of Permutation Entropy. The 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'14), Chicago, Illinois, USA, August 26-30, 2014.

  61.  Badong Chen, Xiaohan Yang, Hong Ji, Hua Qu, Nanning Zheng, Jose. C. Principe, Trimmed Affine Projection Algorithms. The International Joint Conference on Neural Networks, 2014 (IJCNN 2014), Beijing, China, July 6-11, 2014. 

  62. Xiaowei Ren, Pengju Ren, Badong Chen, Tai Min and Nanning Zheng, Hardware Implementation of KLMS Algorithm using FPGA. The International Joint Conference on Neural Networks, 2014 (IJCNN 2014), Beijing, China, July 6-11, 2014. 

  63. Jin Liu, Hua Qu , Badong Chen, Wentao Ma, Kernel Robust Mixed-Norm Adaptive Filtering. The International Joint Conference on Neural Networks, 2014 (IJCNN 2014), Beijing, China, July 6-11, 2014. 

  64. Badong Chen, Xiaohan Yang, Hua Qu, Jihong Zhao, Nanning Zheng, Jose. C. Principe, Feature selection based on survival Cauchy-Schwartz mutual information. The 39th International Conference on Acoustics, Speech, and Signal Processing, 2014 (ICASSP 2014), Florence, Italy, May 4-9, 2014. 

  65. Badong Chen, Nanning Zheng, Jose. C. Principe,Sparse kernel recursive least squares using L1 regularization and a fixed-point sub-iteration.  The 39th International Conference on Acoustics, Speech, and Signal Processing, 2014 (ICASSP 2014)), Florence, Italy, May 4-9, 2014.  

  66. Kan Li, Badong Chen, Jose. C. Principe, Kernel adaptive filtering with confidence intervals.  The International Joint Conference on Neural Networks, 2013 (IJCNN 2013), Dallas, Texas, USA, Augest 4-9, 2013.  

  67.  Badong Chen, Nanning Zheng, Jose. C. Principe, Survival kernel with application to kernel adaptive filtering.  The International Joint Conference on Neural Networks, 2013 (IJCNN 2013), Dallas, Texas, USA, Augest 4-9, 2013.  

  68.  Badong Chen, Songlin Zhao, Sohan Seth, Jose. C. Principe,Online efficient learning with quantized KLMS and L1 regularization.  The International Joint Conference on Neural Networks, 2012 (IJCNN 2012),Brisbane, Australia, June 10-15, 2012. 

  69.  Songlin Zhao, Badong Chen, Jose. C. Principe, An adaptive kernel width update for correntropy.  The International Joint Conference on Neural Networks, 2012 (IJCNN 2012), Brisbane, Australia, June 10-15, 2012. 

  70. Songlin Zhao, Badong Chen, Jose. C. Principe, A fixed-budget quantized kernel least mean square algorithm. The 37th International Conference on Acoustics, Speech, and Signal Processing, 2012, pp. 2181-2184 (ICASSP 2012), Brisbane, Australia, June 10-15, 2012. 

  71.  Songlin Zhao, Badong Chen, Jose. C. Principe, Kernel adaptive filtering with maximum correntropy criterion. Proceedings of the International Joint Conference on Neural Networks, 2011, 2012-2017 (IJCNN11), San Jose, California, USA, July 31-August 5, 2011. 

  72.  Pingping Zhu, Badong Chen, Jose. C. Principe, Extended Kalman filter using a kernel recursive least squares observer. Proceedings of the International Joint Conference on Neural Networks, 2011, 1402-1408 (IJCNN11), San Jose, California, USA, July 31-August 5, 2011. 

  73.  Badong Chen, Jinchun Hu, Hongbo Li, and Zengqi Sun, Adaptive FIR filtering under minimum error/input information criterion. The 17th IFAC Word Conference, Seoul Korea, 2008, pp. 3539-3543. 

  74. Hongbo Li, Zengqi Sun, Mo-Yuen Chow, Badong Chen, State feedback controller design of networked control systems with time delay and packet dropout. The 17th IFAC Word Conference, Seoul Korea, 2008. 

  75. Tongyuan Huang, Badong Chen, Information evolutions in the linear stochastic control systems. Proceedings of the 7th world congress on intelligent control and automation (WCICA08), 3384-3387, June 25-27, 2008, Chongqing, China. 

  76.  Li Pu, Jinchun Hu, Badong Chen, Information theoretical approach to identification of hybrid systems. Proceedings of the 11th International Conference on Hybrid Systems: Computation and Control, 2008, pp. 650-653. 

  77. Badong Chen, Jinchun Hu, Hongbo Li, and Zengqi Sun, Measure observability by the generalized informational correlation, The 46th IEEE Conference on Decision and Control Proceedings (CDC07), 5570-5574, December 12-14, 2007. New Orleans, LA, USA. 

  78.  Badong Chen, Jinchun Hu, Hongbo Li, and Zengqi Sun, A joint stochastic gradient algorithm and its application to system identification with RBF networks, Proceedings of the 6th world congress on intelligent control and automation (WCICA06), 1754-1758, June 21-23, 2006, Dalian, China. 

  79. Badong Chen, Jinchun Hu, Hongbo Li, and Zengqi Sun, Measuring the couplings of MIMO dynamic systems: an information-theoretic approach, Proceedings of the 6th world congress on intelligent control and automation (WCICA06), 662-666, June 21-23, 2006, Dalian, China. 

  80. Badong Chen, Jinchun Hu, Hongbo Li, and Zengqi Sun, Adaptive inverse control under (h, phi)- entropy criterion, Proceedings of the 2nd IEEE international conference on cybernetics & intelligent systems (CIS06), 257-261, June 7-9, 2006, Bangkok, Thailand. 

Other Papers (arXiv or Papers in Chinese)

  1. Jihua Zhu, Jie Hu, Zhongyu Li, Badong Chen, Robust Motion Averaging under Maximum Correntropy Criterion, 2020, https://arxiv.org/abs/2004.09829.

  2. Yunfei Zheng, Badong Chen, Shiyuan Wang, Weiqun Wang, Broad Learning System Based on Maximum Correntropy Criterion, 2019, https://arxiv.org/abs/1912.11368.

  3. Badong ChenZhuang Li, Yingsong Li, Pengju Ren, Asymmetric Correntropy for Robust Adaptive Filtering, 2019, https://arxiv.org/abs/1911.11855.

  4. Yuanhao Li, Badong Chen, Natsue Yoshimura, Yasuharu Koike, Robust logistic regression against attribute and label outliers via information theoretic learning, 2019, https://arxiv.org/abs/1909.02707.

  5. 任士鑫,王卫群,侯增广,陈霸东,石伟国,王佳星,梁旭,基于改进共空间模式与视觉反馈的闭环脑机接口,机械工程学报,55(11), 28-35, 2019.

  6. Hao Wu, Ziyu Zhu, Jiayi Wang, Nanning Zheng, Badong Chen, An Encoding Framework with Brain Inner State for Natural Image Identification, 2019, https://arxiv.org/abs/1908.08807.

  7. Badong chen, Xin Wang, Zejian Yuan, Pengju Ren, Jing Qin, Multi-Kernel Correntropy for Robust Learning, 2019, https://arxiv.org/abs/1905.10115

  8. Badong Chen, Xin Wang, Yingsong Li, Jose C. Principe, Maximum Correntropy Criterion with Variable Center, 2019, https://arxiv.org/abs/1904.06501.

  9. Badong Chen, Lujuan Dang,  Yuantao Gu, Nanning Zheng, Jose C. Principe, Minimum Error Entropy Kalman Filter, 2019, https://arxiv.org/abs/1904.06617.

  10. Yicong He, Fei Wang, Yingsong Li, Jing Qin, Badong Chen, Robust Matrix Completion via Maximum Correntropy Criterion and Half Quadratic Optimization, 2019, https://arxiv.org/abs/1903.06055.

  11. 郑云飞, 陈霸东, 基于最小p-范数的宽度学习系统,模式识别与人工智能,32 (1), 51-57, 2019.

  12. Yuanliu Liu, Ang Li, Zejian Yuan, Badong Chen, Nanning Zheng, Consistency-aware Shading Orders Selective Fusion for Intrinsic Image Decomposition, 2018, https://arxiv.org/abs/1810.09706.

  13. Badong Chen, Rongjin Ma, Siyu Yu, Shaoyi Du, Jing Qin, Granger Causality Analysis Based on Quantized Minimum Error Entropy Criterion, 2018,http://arxiv.org/abs/1808.02430 

  14. Rongjing Bao, Haijun Rong, Zhixin Yang, Badong ChenRemaining Useful Life Estimation of Aero-Engines with Self-Joint Prediction of Continuous and Discrete States, 2018,https://arxiv.org/abs/1807.06093 

  15. Yicong He, Fei Wang, Shiyuan Wang, Pengju Ren, Badong Chen, Maximum Total Correntropy Diffusion Adaptation over Networks with Noisy Links, 2018, https://arxiv.org/abs/1802.05144 

  16. Yicong He, Fei Wang, Shiyuan Wang, Badong Chen, Diffusion Adaptation Framework for Compressive Sensing Reconstruction, 2017, https://arxiv.org/abs/1712.00703 

  17. Wentao Ma, Dongqiao Zheng, Yuanhao Li, Zhiyu Zhang,  Badong Chen, Bias-Compensated Normalized Maximum Correntropy Criterion Algorithm for System Identification with Noisy Input, 2017, https://arxiv.org/abs/1711.08677 

  18. Badong Chen, Lei Xing, Nanning Zheng, Jose Principe, Quantized Minimum Error Entropy Criterion, 2017, https://arxiv.org/abs/1710.04089 

  19. Yicong He, Fei Wang, Shiyuan Wang, Jiuwen Cao, Badong Chen, Maximum Correntropy Adaptive Filtering Approach for Robust Compressive Sensing Reconstruction, 2017, https://arxiv.org/abs/1706.03226 

  20. Badong Chen, Lei Xing, Haiquan Zhao, Bin Xu, Jose Principe, Robustness of Maximum Correntropy Estimation Against Large Outliers, 2017, https://arxiv.org/abs/1703.08065 

  21. Shitao Chen, Songyi Zhang, Jinghao Shang, Badong Chen, Nanning Zheng, Brain Inspired Cognitive Model with Attention for Self-Driving Cars, 2017, https://arxiv.org/abs/1702.05596 

  22. Badong Chen, Lei Xing, Xin Wang, Jing Qin, Nanning Zheng, Robust learning with kernel mean p-power error loss, 2016, http://arxiv.org/abs/1612.07019 

  23. Pengju Ren, Badong Chen, Zejian Yuan, Nanning Zheng, Toward robust visual cognition through brain inspired computing,In “Brain-Inspired Intelligent Robotics: The Intersection of Robotics and Neuroscience”, A Sponsored Supplement to Science, 2016.

  24. 陈霸东,基于fMRI的视觉认知编解码研究,中国自动化学会通讯,2016. 

  25. Siyuan Peng, Badong Chen*, Lei Sun, Zhiping Lin, Wee Ser, Constrained Maximum Correntropy Adaptive Filtering, 2016, http://arxiv.org/abs/1610.01766 

  26. 陈霸东,吴昊,郑南宁,视觉认知编解码:读脑术不再触不可及,科技纵览(IEEE SPECTRUM),2016. 

  27. Badong Chen, Lei Xing, Bin Xu, Haiquan Zhao, Nanning Zheng, Jose Principe, Kernel Risk-Sensitive Loss: Definition, Properties and Application to Robust Adaptive Filtering, 2016, http://arxiv.org/abs/1608.00441 

  28. 郑南宁,任鹏举,陈霸东,吴昊,类脑(受脑启发的)计算的问题与视觉认知,中国自动化学会通讯,2016. (PDF)

  29. Fei Zhu, Abderrahim Halimi, Paul Honeine, Badong Chen, Nanning Zheng, Correntropy Maximization via ADMM-Application to Robust Hyperspectral Unmixing, 2016, arXiv:1602.01729 

  30. Badong Chen, Xi Liu, Haiquan Zhao, Jose C. Principe, Maximum Correntropy Kalman Filter, 2015, arXiv:1509.04580 

  31. Wentao Ma, Badong Chen*Jiandong Duan, Haiquan Zhao, Diffusion maximum correntropy criterion algorithms for robust distributed  estimation, 2015,  arXiv:1508.01903v2 

  32. Badong Chen, Lei Xing, Haiquan Zhao, Nanning Zheng, Jose C. Principe, Generalized Correntropy for Robust Adaptive Filtering, 2015,  arXiv:1504.02931v1 

  33. Badong Chen, Guangmin Wang, Nanning Zheng, Jose C. Principe, An extended result on the optimal estimation under minimum error entropy criterion, 2014,  arXiv:1401.6294 (See also Entropy, 16 (4): 2223-2233, 2014) 

  34.  Badong Chen, Junli Liang, Nanning Zheng, Jose C. Principe. Kernel Least Mean Square with Adaptive Kernel Size, 2014, arXiv:1401.5899v3 
Chapters & Books

  1. Badong Chen, Xin Wang, Jose, C. Principe, "Maximum Correntropy Criterion Based Kernel Adaptive Filters" In "Adaptive Learning Methods for Nonlinear System Modeling", Elsevier, 2018.

  2. Badong Chen, Weifeng Liu, Jose, C. Principe, “Theoretical Methods in Machine Learning” In “Springer Handbook on Neural Networks”. 2014.

  3. Jose C. Principe, Badong Chen, and Luis G. Sanchez Giraldo. Academic Press Library in Signal Processing: Volume 1- Signal Processing Theory and Machine Learning, Chapter 24: Information Based Learning, pages 1379–1414. Elsevier, 2014.

  4. Badong Chen, Lin Li, Weifeng Liu, Jose, C. Principe, “Nonlinear Adaptive Filtering in Kernel Spaces.” In “Springer Handbook of Bio- and Neuroinformatics” (pp. 715-734), Springer Berlin Heidelberg, 2014. (Contents of This Book)

  5. Badong Chen, Yu Zhu, Jinchun Hu, Jose C. Principe, System Parameter Identification: Information Criteria and Algorithms, Elsevier, 2013.   (http://www.sciencedirect.com/science/book/9780124045743) (Selected as a notable book in Computing Reviews' Best of 2013. Feel free to check out the complete list)

  6.  陈霸东, 朱煜,胡金春,系统参数辨识的信息准则及算法,清华大学出版社,2011.   
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