2022-Current Ph.D. Candidate, Tsinghua University
2022 Master of Engineering, Lanzhou University
2019 Bachelor of Engineering, Zhengzhou University
Research on potential depression risk early warning theory and biosensing key technology based on biological and psychological multimodal information.
Development of a comprehensive intelligent experimental system for the research of "neural mechanism-brain-like computing model".
Detection and prediction of epileptic seizures based on EEG signals.
Lei, C., Zheng, S., Zhang, X., Wang, D., Wu, H., Peng, H., & Hu, B. (2021). Epileptic seizure detection in EEG signals using discriminative Stein kernel-based sparse representation. IEEE Transactions on Instrumentation and Measurement, 71, 1-15.
Peng, H.#, Lei, C.#, Zheng, S., Zhao, C., Wu, C., Sun, J., & Hu, B. (2021). Automatic epileptic seizure detection via Stein kernel-based sparse representation. Computers in Biology and Medicine, 132, 104338.
Lei, C., Wang, D., Chao, J., Zhang, X., Zheng, S., Wu, H., & Peng, H. (2021, December). Seizure onset detection using common spatial pattern and discriminative log-Euclidean kernel-based Gaussian process. In 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 2259-2265). IEEE.
Wang, D., Lei, C., Zhang, X., Wu, H., Zheng, S., Chao, J., & Peng, H. (2021, December). Identification of depression with a semi-supervised GCN based on EEG data. In 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 2338-2345). IEEE.
Zheng, S., Lei, C., Wang, T., Wu, C., Sun, J., & Peng, H. (2020, December). Feature-level fusion for depression recognition based on fNIRS data. In 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 2906-2913). IEEE.
Xu, J., Zhang, Y., Lei, C., Sun, P., Chen, R., & Yuan, T. (2023). Using machine learning to identify factors related to nitrous oxide (laughing gas) relapse among adolescents. General Psychiatry, 36(2).
Chao, J., Zheng, S., Lei, C., Peng, H., & Hu, B. (2022). Exploratory cross-frequency coupling and scaling analysis of neuronal oscillations stimulated by emotional images: An evidence from EEG. IEEE Transactions on Cognitive and Developmental Systems.