MVS-GCN: A prior brain structure learning-guided multi-view graph convolution network for autism spectrum disorder diagnosis. - Guangqi Wen; Peng Cao 001; Huiwen Bao; Wenju Yang; Tong Zheng 006; Osmar Zaïane (Comput. Biol. Medicine, 2022)

Collaborative learning of graph generation, clustering and classification for brain networks diagnosis. - Wenju Yang; Guangqi Wen; Peng Cao 001; Jinzhu Yang; Osmar R. Zaïane (Comput. Methods Programs Biomed., 2022)

A sharpened reconfigurable CIC filter for multi-channel human-computer interaction data sampling. - Siwan Dong; Peng Wang 191; Sihao Ning; Wenju Yang (AIPR, 2023)

A unified framework of graph structure learning, graph generation and classification for brain network analysis. - Peng Cao 001; Guangqi Wen; Wenju Yang; Xiaoli Liu 001; Jinzhu Yang; Osmar R. Zaïane (Appl. Intell., 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)

Optimizing Learnable Frequency-Domain Filterbanks for Depression Detection via Speech Representation Disentanglement. - Wenju Yang; LeYang Li; Yong Hao; Peng Cao 001; Osmar R. Zaïane (ICONIP (9), 2024)

3D-SAutoMed: Automatic Segment Anything Model for 3D Medical Image Segmentation from Local-Global Perspective. - Junjie Liang; Peng Cao 001; Wenju Yang; Jinzhu Yang; Osmar R. Zaïane (MICCAI (9), 2024)

Leveraging Large Language Model for Heterogeneous Ad Hoc Teamwork Collaboration. - Xinzhu Liu; Peiyan Li; Wenju Yang; Di Guo; Huaping Liu 001 (Robotics: Science and Systems, 2024)