Books
1. Badong Chen, Lei Xing, Nanning Zheng, Jose C. Principe, Learning From Data with the Maximum Correntropy Criterion, Cambridge University Press, 2025.
2. Shuangming Yang, Badong Chen, Neuromorphic Intelligence: Learning, Architectures and Large-scale Systems, Springer, 2024.
3. Wentao Ma, Badong Chen, Adaptive Filtering Under Minimum Mean p-Power Error Criterion, Chapman and Hall/CRC, 2024.
4. Badong Chen, Lujuan Dang, Nanning Zheng, Jose C. Principe, Kalman Filtering Under Information Theoretic Criteria, Springer, 2023.
5. Haiquan Zhao, Badong Chen, Efficient Nonlinear Adaptive Filters: Design, Analysis and Applications, Springer, 2023.
6. Xinhua Liu, Rui Jiang, Badong Chen, Shuzhi Sam Ge, Multimodal Perception and Secure State Estimation for Robotic Mobility Platforms, Wiley, 2022.
7. Badong Chen, Yu Zhu, Jinchun Hu, Jose C. Principe, System Parameter Identification: Information Criteria and Algorithms, Elsevier, 2013. (Selected as a notable book in Computing Reviews' Best of 2013. Feel free to check out the complete list)
Chapters
-
Siyuan Peng, Lujuan Dang, Badong Chen, Jose, C. Principe, "Robust Filtering under Minimum Error Entropy Criterion" In "Information-Theoretic Radar Signal Processing", Wiley, 2024.
-
Badong Chen, Xin Wang, Jose, C. Principe, "Maximum Correntropy Criterion Based Kernel Adaptive Filters" In "Adaptive Learning Methods for Nonlinear System Modeling", Elsevier, 2018.
-
Badong Chen, Weifeng Liu, Jose, C. Principe, “Theoretical Methods in Machine Learning” In “Springer Handbook on Neural Networks”. 2014.
-
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.
-
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)