MMDF-ESI: Multi-Modal Deep Fusion of EEG and MEG for Brain Source Imaging. - Meng Jiao; Shihao Yang 001; Boyu Wang 004; Xiaochen Xian; Yevgeniy R. Semenov; Guihong Wan; Feng Liu 011 (BI, 2023)

Prediction of Cannabis Addictive Patients with Graph Neural Networks. - Shulin Wen; Shihao Yang 001; Xinglong Ju; Ting Liao; Feng Liu 011 (BI, 2023)

Rejuvenating Classical Source Localization Methods with Spatial Graph Filters. - Shihao Yang 001; Meng Jiao; Jing Xiang; Daphne Kalkanis; Hai Sun; Feng Liu 011 (BI, 2023)

Detection of High-Frequency Oscillations from Intracranial EEG Data with Switching State Space Model. - Zeyu Gu; Shihao Yang 001; Zhongyuan Yu; Feng Liu 011 (EMBC, 2024)

Identification of Craving Maps among Marijuana Users via the Analysis of Functional Brain Networks with High-Order Attention Graph Neural Networks. - Jun-En Ding; Shihao Yang 001; Anna Zilverstand; Feng Liu 011 (CoRR, 2024)

XDL-ESI: Electrophysiological Sources Imaging via explainable deep learning framework with validation on simultaneous EEG and iEEG. - Meng Jiao; Xiaochen Xian; Boyu Wang 004; Yu Zhang 009; Shihao Yang 001; Spencer C. Chen; Hai Sun; Feng Liu 011 (NeuroImage, 2024)

Rejuvenating classical brain electrophysiology source localization methods with spatial graph Fourier filters for source extents estimation. - Shihao Yang 001; Meng Jiao; Jing Xiang; Neel Fotedar; Hai Sun; Feng Liu 011 (Brain Informatics, 2024)

Spatial Craving Patterns in Marijuana Users: Insights From fMRI Brain Connectivity Analysis With High-Order Graph Attention Neural Networks. - Jun-En Ding; Shihao Yang 001; Anna Zilverstand; Kaustubh R. Kulkarni; Xiaosi Gu; Feng Liu 011 (IEEE J. Biomed. Health Informatics, 2025)