Fei Wang - RankMe

15 papers Misc 1Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BrainSCL: Subtype-Guided Contrastive Learning for Brain Disorder Diagnosis. CoRR Xiaolong Li, Guiliang Guo, Guangqi Wen, Peng Cao, Jinzhu Yang, Honglin Wu, Xiaoli Liu, Fei Wang, Osmar R. Zaïane
2026	J	`jnl`	BrainSTR: Spatio-Temporal Contrastive Learning for Interpretable Dynamic Brain Network Modeling. CoRR Guiliang Guo, Guangqi Wen, Lingwen Liu, Ruoxian Song, Peng Cao, Jinzhu Yang, Fei Wang, Xiaoli Liu, Osmar R. Zaïane
2026	J	`jnl`	DisNet : Learning interpretable depression representations in speech. Neural Networks Wenju Yang, Peng Cao, Yang Wang, Jie Yang, Fei Wang
2026	J	`jnl`	Exploring Subnetwork Interactions in Heterogeneous Brain Network via Prior-Informed Graph Learning. CoRR Siyu Liu, Guangqi Wen, Peng Cao, Jinzhu Yang, Xiaoli Liu, Fei Wang, Osmar R. Zaïane
2026	J	`jnl`	Mitigating Symptom Heterogeneity in Multimodal Depression Estimation via Level Separation and Deviation Regression. IEEE Trans. Affect. Comput. Chengguang Liu, Shanmin Wang, Qingshan Liu, Yang Wang, Fei Wang
2026	J	`jnl`	Modeling Multimodal Depression Diagnosis From the Perspective of Local Depressive Representation. IEEE Trans. Affect. Comput. Junjie Liang, Peng Cao, Chongxiao Wang, Jinzhu Yang, Fei Wang, Osmar R. Zaïane
2025	J	`jnl`	Heterogeneous Graph Representation Learning Framework for Resting-State Functional Connectivity Analysis. IEEE Trans. Medical Imaging Guangqi Wen, Peng Cao, Lingwen Liu, Maochun Hao, Siyu Liu, Junjie Zheng, Jinzhu Yang, Osmar R. Zaïane, Fei Wang
2025	—	`conf`	Interpretable Modeling of Multi-scale Temporal Patterns in Depressive Speech. ICONIP (3) Zhihao Wang, Wenju Yang, Peng Cao, Fei Wang, Osmar R. Zaïane
2024	J	`jnl`	Attention-based acoustic feature fusion network for depression detection. Neurocomputing Xiao Xu, Yang Wang, Xinru Wei, Fei Wang, Xizhe Zhang
2024	J	`jnl`	Cooperative Sentiment Agents for Multimodal Sentiment Analysis. CoRR Shanmin Wang, Hui Shuai, Qingshan Liu, Fei Wang
2024	—	`conf`	Exploring Spatio-temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis. MICCAI (2) Lanting Li, Liuzeng Zhang, Peng Cao, Jinzhu Yang, Fei Wang, Osmar R. Zaïane
2024	Misc	`conf`	Towards Disease-Aware Self-Supervised Dynamic Brain Network Learning For Mental Diagnosis. ICASSP Zhiyong Jin, Guangqi Wen, Peng Cao, Lingwen Liu, Jinzhu Yang, Xinrong Zhu, Osmar R. Zaïane, Fei Wang
2023	J	`jnl`	Attention guided learnable time-domain filterbanks for speech depression detection. Neural Networks Wenju Yang, Jiankang Liu, Peng Cao, Rongxin Zhu, Yang Wang, Jian K. Liu, Fei Wang, Xizhe Zhang
2023	—	`conf`	BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis. MICCAI (8) Pengshuai Zhang, Guangqi Wen, Peng Cao, Jinzhu Yang, Jinyu Zhang, Xizhe Zhang, Xinrong Zhu, Osmar R. Zaïane, Fei Wang
2023	J	`jnl`	Graph Self-Supervised Learning With Application to Brain Networks Analysis. IEEE J. Biomed. Health Informatics Guangqi Wen, Peng Cao, Lingwen Liu, Jinzhu Yang, Xizhe Zhang, Fei Wang, Osmar R. Zaïane