論文

• Yuanhao Li, Badong Chen, Gang Wang, Natsue Yoshimura, Yasuharu Koike. Partial maximum correntropy regression for robust electrocorticography decoding, Frontiers in Neuroscience, Volume 17, June 2023.
• Yuxi Shi, Yuanhao Li, Yasuharu Koike. Sparse Logistic Regression-Based EEG Channel Optimization Algorithm for Improved Universality across Participants, Bioengineering, MDPI, May 2023.
• Zixuan Qin, Zixun He, Yuanhao Li, Supat Saetia, Yasuharu Koike. A CW-CNN regression model-based real-time system for virtual hand control, Frontiers in Neurorobotics, Vol. 16, Dec. 2022.  公式リンク  
  
• Yuanhao Li, Badong Chen, Natsue Yoshimura, Yasuharu Koike. Restricted Minimum Error Entropy Criterion for Robust Classification, IEEE Transactions on Neural Networks and Learning Systems, pp. 1-14, June 2021.

学位論文

• Improved Robustness for Brain Activity Decoding Based on Information Theoretic Learning,  Thesis,  Doctor (Academic),  Tokyo Institute of Technology,  2023/09/22,   
• Improved Robustness for Brain Activity Decoding Based on Information Theoretic Learning,  Summary,  Doctor (Academic),  Tokyo Institute of Technology,  2023/09/22,   
• Improved Robustness for Brain Activity Decoding Based on Information Theoretic Learning,  Exam Summary,  Doctor (Academic),  Tokyo Institute of Technology,  2023/09/22,   

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