Qualifications

2008 Ph.D. in Computer Science and Technology, Tsinghua University, China

2003 M.S. in Control Theory and Engineering, Chongqing University, China

1997 B.S. in Automatic Control, Chongqing University, Chongqing, China

Publications (Selected)

1. Hua Qu, Wentao Ma, Jihong Zhao, Badong Chen, Kernel Least Mean Kurtosis Based Online Chaotic Time Series Prediction, CHIN. PHYS. LETT. Vol. 30, No. 11, 2013.
2. Badong Chen, Zejian Yuan, Nanning Zheng, Jose. C. Principe, Kernel minimum error entropy algorithm. Neurocomputing, vol. 121, 160-169, 2013.
3. Songlin Zhao, Badong Chen, Jose. C. Principe, Fixed budget quantized kernel least mean square algorithm, Signal Processing, vol. 93, 2759-2770, 2013.
4. 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, 1484-1491, 2013.
5. 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, 022911, 2013.
6. 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, 532-543, 2013.
7. Badong Chen, Jose. C. Principe, On the Smoothed Minimum Error Entropy Criterion, Entropy. 2012; 14(11):2311-2323.
8. Badong Chen, Jose. C. Principe, Maximum correntropy estimation is a smoothed MAP estimation, IEEE Signal Processing Letters., vol. 19, no. 8, 2012.
9. Badong Chen, Jose. C. Principe, Some further results on the minimum error entropy estimation, Entropy, 14, 966-977, 2012.
10. Badong Chen, Songlin Zhao, Pingping Zhu, Jose. C. Principe, Mean square convergence analysis of the kernel least mean square algorithm, Signal Processing, 92 (2012), 2624-2632.
11. Pingping Zhu, Badong Chen, Jose. C. Principe, A novel extended kernel recursive least squares algorithm, Neural Networks, vol. 32, 349-357, 2012.
12. 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.
13. 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.
14. Badong Chen, Jinchun Hu, Yu Zhu, Jose. C. Principe, Stochastic information gradient algorithm with generalized Gaussian distribution model, Journal of Circuits, Systems, and Computers, vol. 21, no. 1, DOI: 10.1142/S0218126612500065, 2012.
15. 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, 589-597, 2011.
16. Badong Chen, Yu Zhu, Jinchun Hu, Jose. C. Principe, A Variable Step-Size SIG Algorithm for Realizing the Optimal Adaptive FIR Filter, International Journal of Control, Automation and Systems, vol.9, no. 6, pp. 1049-1055, 2011.
17. 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, 2247-2251, 2011.
18. Badong Chen, Yu Zhu, Jinchun Hu, Jose. C. Principe, Delta-entropy: Definition, properties and applications in system identification with quantized data, Information Science, vol. 181, 1384-1402, 2011.
19. Yu Zhu, Badong Chen, Jinchun Hu, Adaptive Filtering with Adaptive p-Power Error Criterion, International Journal of Innovative Computing, Information and Control, vol. 7, 1725-1738, 2011.
20. Badong Chen, Yu Zhu, Jinchun Hu, Mean-Square Convergence Analysis of ADALINE Training with Minimum Error Entropy Criterion, IEEE Transactions on Neural Networks (TNN), vol.27, no.1, 1168-1179, 2010.
21. 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, 3313-3316, 2010.
22. Badong Chen, Jinchun Hu, Yu Zhu, Computing Maximum Entropy Densities: A Hybrid Approach, Signal Processing: An International Journal, vol.4, no.2, 114-122, 2010.
23. Badong Chen, Yu Zhu, Jinchun Hu, Ming Zhang, On optimum estimations with minimum error entropy criterion, Journal of the Franklin Institute, vol.347, no.2, 545-558, 2010.
24. Badong Chen, Yu Zhu, Jinchun Hu, Ming Zhang, Stochastic Information Gradient Algorithm Based on Maximum Entropy Density Estimation, ICIC Express Letters, vol. 4, no.3, 1141-1145, 2010.

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