Semi-Supervised Contrastive Learning for Generalizable Motor Imagery EEG Classification. - Jinpei Han; Xiao Gu 003; Benny Lo (BSN, 2021)

Generalizable Movement Intention Recognition with Multiple Heterogeneous EEG Datasets. - Xiao Gu 003; Jinpei Han; Guang-Zhong Yang; Benny Lo (ICRA, 2023)

EEG Decoding for Datasets with Heterogenous Electrode Configurations using Transfer Learning Graph Neural Networks. - Jinpei Han; Xiaoxi Wei; A. Aldo Faisal (CoRR, 2023)

Noise-Free Explanation for Driving Action Prediction. - Hongbo Zhu; Theodor Wulff; Rahul Singh Maharjan; Jinpei Han; Angelo Cangelosi (ECAI, 2024)

Graph Neural Networks Uncover Geometric Neural Representations in Reinforcement-Based Motor Learning. - Federico Nardi; Jinpei Han; Shlomi Haar; A. Aldo Faisal (CoRR, 2024)

Noise-Factorized Disentangled Representation Learning for Generalizable Motor Imagery EEG Classification. - Jinpei Han; Xiao Gu 003; Guang-Zhong Yang; Benny Lo (IEEE J. Biomed. Health Informatics, 2024)

Contrastive Representation Learning Helps Cross-institutional Knowledge Transfer: A Study in Pediatric Ventilation Management. - Yuxuan Liu; Jinpei Han; Padmanabhan Ramnarayan; A. Aldo Faisal (CoRR, 2025)

Sensing Cardiac Health Across Scenarios and Devices: A Multi-Modal Foundation Model Pretrained on Heterogeneous Data from 1.7 Million Individuals. - Xiao Gu 003; Wei Tang; Jinpei Han; Veer Sangha; Fenglin Liu; Shreyank N. Gowda; Antônio H. Ribeiro; Patrick Schwab; Kim Branson 001; Lei A. Clifton; Antonio Luiz P. Ribeiro; Zhangdaihong Liu; et al. (CoRR, 2025)