Wei-Bang Jiang

19 papers A* 4B 1Misc 4Journal 5Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
Hierarchical Emotion Transformer for Multimodal Joint Emotion Category and Intensity Recognition.
ICONIP (1)
Tian-Fang Ma, Wei-Bang Jiang, Wei-Long Zheng, Bao-Liang Lu
2025 Misc conf
Multi-Scale Attention-Based Dense Spatial-Temporal Model for Emotion Induction in Response to Olfactory Stimuli.
ICASSP
Jian-Ming Zhang, Wei-Bang Jiang, Wei-Long Zheng, Bao-Liang Lu
2025 J jnl
SEED-VII: A Multimodal Dataset of Six Basic Emotions With Continuous Labels for Emotion Recognition.
IEEE Trans. Affect. Comput.
Wei-Bang Jiang, Xuan-Hao Liu, Wei-Long Zheng, Bao-Liang Lu
2025 J jnl
Towards Robust Multimodal Physiological Foundation Models: Handling Arbitrary Missing Modalities.
CoRR
Xi Fu, Wei-Bang Jiang, Yi Ding, Cuntai Guan
2024 Misc conf
CEMOAE: A Dynamic Autoencoder with Masked Channel Modeling for Robust EEG-Based Emotion Recognition.
ICASSP
Yu-Ting Lan, Wei-Bang Jiang, Wei-Long Zheng, Bao-Liang Lu
2024 A* conf
Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals.
NeurIPS
Hui Zheng, Haiteng Wang, Wei-Bang Jiang, Zhongtao Chen, Li He, Pei-Yang Lin, Peng-Hu Wei, Guo-Guang Zhao, Yun-Zhe Liu
2024 J jnl
Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals.
CoRR
Hui Zheng, Haiteng Wang, Wei-Bang Jiang, Zhong-Tao Chen, Li He, Pei-Yang Lin, Peng-Hu Wei, Guo-Guang Zhao, Yun-Zhe Liu
2024 Misc conf
Functional Emotion Transformer for EEG-Assisted Cross-Modal Emotion Recognition.
ICASSP
Wei-Bang Jiang, Ziyi Li, Wei-Long Zheng, Bao-Liang Lu
2024 A* conf
Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI.
ICLR
Wei-Bang Jiang, Li-Ming Zhao, Bao-Liang Lu
2024 J jnl
Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI.
CoRR
Wei-Bang Jiang, Li-Ming Zhao, Bao-Liang Lu
2024 — conf
MoGE: Mixture of Graph Experts for Cross-subject Emotion Recognition via Decomposing EEG.
BIBM
Xuan-Hao Liu, Wei-Bang Jiang, Wei-Long Zheng, Bao-Liang Lu
2024 J jnl
NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals.
CoRR
Wei-Bang Jiang, Yansen Wang, Bao-Liang Lu, Dongsheng Li
2024 A* conf
REmoNet: Reducing Emotional Label Noise via Multi-regularized Self-supervision.
ACM Multimedia
Wei-Bang Jiang, Yu-Ting Lan, Bao-Liang Lu
2023 Misc conf
Elastic Graph Transformer Networks for EEG-Based Emotion Recognition.
ICASSP
Wei-Bang Jiang, Xu Yan, Wei-Long Zheng, Bao-Liang Lu
2023 A* conf
Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels.
ACM Multimedia
Wei-Bang Jiang, Xuan-Hao Liu, Wei-Long Zheng, Bao-Liang Lu
2023 — conf
Two-Stream Spectral-Temporal Denoising Network for End-to-End Robust EEG-Based Emotion Recognition.
ICONIP (3)
Xuan-Hao Liu, Wei-Bang Jiang, Wei-Long Zheng, Bao-Liang Lu
2022 B conf
Increasing the Stability of EEG-based Emotion Recognition with a Variant of Neural Processes.
IJCNN
Yan-Kai Liu, Wei-Bang Jiang, Bao-Liang Lu
2021 — conf
Discriminating Surprise and Anger from EEG and Eye Movements with a Graph Network.
BIBM
Wei-Bang Jiang, Li-Ming Zhao, Ping Guo, Bao-Liang Lu
2021 — conf
Emotion Transformer Fusion: Complementary Representation Properties of EEG and Eye Movements on Recognizing Anger and Surprise.
BIBM
Yiting Wang, Wei-Bang Jiang, Rui Li, Bao-Liang Lu