BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis. - Pengshuai Zhang; Guangqi Wen; Peng Cao 001; Jinzhu Yang; Jinyu Zhang; Xizhe Zhang; Xinrong Zhu; Osmar R. Zaïane; Fei Wang 064 (MICCAI (8), 2023)

Attention guided learnable time-domain filterbanks for speech depression detection. - Wenju Yang; Jiankang Liu; Peng Cao 001; Rongxin Zhu; Yang Wang; Jian K. Liu; Fei Wang 064; Xizhe Zhang (Neural Networks, 2023)

Graph Self-Supervised Learning With Application to Brain Networks Analysis. - Guangqi Wen; Peng Cao 001; Lingwen Liu; Jinzhu Yang; Xizhe Zhang; Fei Wang 064; Osmar R. Zaïane (IEEE J. Biomed. Health Informatics, 2023)

Towards Disease-Aware Self-Supervised Dynamic Brain Network Learning For Mental Diagnosis. - Zhiyong Jin; Guangqi Wen; Peng Cao 001; Lingwen Liu; Jinzhu Yang; Xinrong Zhu; Osmar R. Zaïane; Fei Wang 064 (ICASSP, 2024)

Exploring Spatio-temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis. - Lanting Li; Liuzeng Zhang; Peng Cao 001; Jinzhu Yang; Fei Wang 064; Osmar R. Zaïane (MICCAI (2), 2024)

Attention-based acoustic feature fusion network for depression detection. - Xiao Xu; Yang Wang; Xinru Wei; Fei Wang 064; Xizhe Zhang (Neurocomputing, 2024)

Heterogeneous Graph Representation Learning Framework for Resting-State Functional Connectivity Analysis. - Guangqi Wen; Peng Cao 001; Lingwen Liu; Maochun Hao; Siyu Liu; Junjie Zheng; Jinzhu Yang; Osmar R. Zaïane; Fei Wang 064 (IEEE Trans. Medical Imaging, 2025)