Li zhunan

Assistant Engineer  

Email:lizhunan@gdiist.cn

 

Personal Profile:

Graduated with a Bachelor of Engineering degree from Chongqing University of Posts and Telecommunications in 2017. Obtained a Master of Engineering degree from the Institute of Automation, Chinese Academy of Sciences (School of Artificial Intelligence, University of Chinese Academy of Sciences) in 2020.


Research direction:

Currently focusing on research in transfer learning, reinforcement learning, and the application of reinforcement learning to large language models. Research findings have been published in journals and international conferences such as JBHI, IJCNN, and EMBC."


Selected Publications

1. Li Z, Zhu E, Jin M, et al. Dynamic domain adaptation for class-aware cross-subject and cross-session EEG emotion recognition[J]. IEEE Journal of Biomedical and Health Informatics, 2022, 26(12): 5964-5973.

2. Li Z, Chen H, Jin M, et al. Reducing the calibration effort of EEG emotion recognition using domain adaptation with soft labels[C]//2021 43rd Annual international conference of the IEEE engineering in medicine & biology society (EMBC). IEEE, 2021: 5962-5965.

3. Li Z, Hou X. Mixing update q-value for deep reinforcement learning[C]//2019 international joint conference on neural networks (IJCNN). IEEE, 2019: 1-6.


QIAN Cheng’s Research Group