Fei Wang

According to our database, Fei Wang authored at least 15 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Exploring Subnetwork Interactions in Heterogeneous Brain Network via Prior-Informed Graph Learning.

Siyu Liu, Guangqi Wen, Peng Cao, Jinzhu Yang, Xiaoli Liu, Fei Wang, Osmar R. Zaïane

CoRR, March, 2026

BrainSCL: Subtype-Guided Contrastive Learning for Brain Disorder Diagnosis.

Xiaolong Li, Guiliang Guo, Guangqi Wen, Peng Cao, Jinzhu Yang, Honglin Wu, Xiaoli Liu, Fei Wang, Osmar R. Zaïane

CoRR, March, 2026

BrainSTR: Spatio-Temporal Contrastive Learning for Interpretable Dynamic Brain Network Modeling.

Guiliang Guo, Guangqi Wen, Lingwen Liu, Ruoxian Song, Peng Cao, Jinzhu Yang, Fei Wang, Xiaoli Liu, Osmar R. Zaïane

CoRR, March, 2026

Mitigating Symptom Heterogeneity in Multimodal Depression Estimation via Level Separation and Deviation Regression.

Chengguang Liu, Shanmin Wang, Qingshan Liu, Yang Wang, Fei Wang

IEEE Trans. Affect. Comput., 2026

Modeling Multimodal Depression Diagnosis From the Perspective of Local Depressive Representation.

Junjie Liang, Peng Cao, Chongxiao Wang, Jinzhu Yang, Fei Wang, Osmar R. Zaïane

IEEE Trans. Affect. Comput., 2026

DisNet : Learning interpretable depression representations in speech.

Wenju Yang, Peng Cao, Yang Wang, Jie Yang, Fei Wang

Neural Networks, 2026

2025

Heterogeneous Graph Representation Learning Framework for Resting-State Functional Connectivity Analysis.

Guangqi Wen, Peng Cao, Lingwen Liu, Maochun Hao, Siyu Liu, Junjie Zheng, Jinzhu Yang, Osmar R. Zaïane, Fei Wang

IEEE Trans. Medical Imaging, March, 2025

Interpretable Modeling of Multi-scale Temporal Patterns in Depressive Speech.

Zhihao Wang, Wenju Yang, Peng Cao, Fei Wang, Osmar R. Zaïane

Proceedings of the Neural Information Processing - 32nd International Conference, 2025

2024

Attention-based acoustic feature fusion network for depression detection.

Xiao Xu, Yang Wang, Xinru Wei, Fei Wang, Xizhe Zhang

Neurocomputing, 2024

Cooperative Sentiment Agents for Multimodal Sentiment Analysis.

Shanmin Wang, Hui Shuai, Qingshan Liu, Fei Wang

CoRR, 2024

Exploring Spatio-temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis.

Lanting Li, Liuzeng Zhang, Peng Cao, Jinzhu Yang, Fei Wang, Osmar R. Zaïane

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Towards Disease-Aware Self-Supervised Dynamic Brain Network Learning For Mental Diagnosis.

Zhiyong Jin, Guangqi Wen, Peng Cao, Lingwen Liu, Jinzhu Yang, Xinrong Zhu, Osmar R. Zaïane, Fei Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Graph Self-Supervised Learning With Application to Brain Networks Analysis.

Guangqi Wen, Peng Cao, Lingwen Liu, Jinzhu Yang, Xizhe Zhang, Fei Wang, Osmar R. Zaïane

IEEE J. Biomed. Health Informatics, August, 2023

Attention guided learnable time-domain filterbanks for speech depression detection.

Wenju Yang, Jiankang Liu, Peng Cao, Rongxin Zhu, Yang Wang, Jian K. Liu, Fei Wang, Xizhe Zhang

Neural Networks, August, 2023

BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis.

Pengshuai Zhang, Guangqi Wen, Peng Cao, Jinzhu Yang, Jinyu Zhang, Xizhe Zhang, Xinrong Zhu, Osmar R. Zaïane, Fei Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023