Discriminating Surprise and Anger from EEG and Eye Movements with a Graph Network. - Wei-Bang Jiang; Li-Ming Zhao; Ping Guo; Bao-Liang Lu (BIBM, 2021)

Emotion Transformer Fusion: Complementary Representation Properties of EEG and Eye Movements on Recognizing Anger and Surprise. - Yiting Wang; Wei-Bang Jiang; Rui Li 048; Bao-Liang Lu (BIBM, 2021)

Increasing the Stability of EEG-based Emotion Recognition with a Variant of Neural Processes. - Yan-Kai Liu; Wei-Bang Jiang; Bao-Liang Lu (IJCNN, 2022)

Elastic Graph Transformer Networks for EEG-Based Emotion Recognition. - Wei-Bang Jiang; Xu Yan 007; Wei-Long Zheng; Bao-Liang Lu (ICASSP, 2023)

Two-Stream Spectral-Temporal Denoising Network for End-to-End Robust EEG-Based Emotion Recognition. - Xuan-Hao Liu; Wei-Bang Jiang; Wei-Long Zheng; Bao-Liang Lu (ICONIP (3), 2023)

Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels. - Wei-Bang Jiang; Xuan-Hao Liu; Wei-Long Zheng; Bao-Liang Lu (ACM Multimedia, 2023)

MoGE: Mixture of Graph Experts for Cross-subject Emotion Recognition via Decomposing EEG. - Xuan-Hao Liu; Wei-Bang Jiang; Wei-Long Zheng; Bao-Liang Lu (BIBM, 2024)

Functional Emotion Transformer for EEG-Assisted Cross-Modal Emotion Recognition. - Wei-Bang Jiang; Ziyi Li 003; Wei-Long Zheng; Bao-Liang Lu (ICASSP, 2024)

CEMOAE: A Dynamic Autoencoder with Masked Channel Modeling for Robust EEG-Based Emotion Recognition. - Yu-Ting Lan; Wei-Bang Jiang; Wei-Long Zheng; Bao-Liang Lu (ICASSP, 2024)

Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI. - Wei-Bang Jiang; Li-Ming Zhao; Bao-Liang Lu (ICLR, 2024)

REmoNet: Reducing Emotional Label Noise via Multi-regularized Self-supervision. - Wei-Bang Jiang; Yu-Ting Lan; Bao-Liang Lu (ACM Multimedia, 2024)

Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals. - Hui Zheng; Haiteng Wang; Wei-Bang Jiang; Zhongtao Chen; Li He; Pei-Yang Lin; Peng-Hu Wei; Guo-Guang Zhao; Yun-Zhe Liu (NeurIPS, 2024)

Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals. - Hui Zheng; Haiteng Wang; Wei-Bang Jiang; Zhong-Tao Chen; Li He; Pei-Yang Lin; Peng-Hu Wei; Guo-Guang Zhao; Yun-Zhe Liu (CoRR, 2024)

Multi-Scale Attention-Based Dense Spatial-Temporal Model for Emotion Induction in Response to Olfactory Stimuli. - Jian-Ming Zhang; Wei-Bang Jiang; Wei-Long Zheng; Bao-Liang Lu (ICASSP, 2025)

NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals. - Weibang Jiang; Yansen Wang; Bao-Liang Lu; Dongsheng Li 002 (ICLR, 2025)

SEED-VII: A Multimodal Dataset of Six Basic Emotions With Continuous Labels for Emotion Recognition. - Wei-Bang Jiang; Xuan-Hao Liu; Wei-Long Zheng; Bao-Liang Lu (IEEE Trans. Affect. Comput., 2025)

Towards Robust Multimodal Physiological Foundation Models: Handling Arbitrary Missing Modalities. - Xi Fu; Wei-Bang Jiang; Yi Ding 012; Cuntai Guan (CoRR, 2025)

EgoBrain: Synergizing Minds and Eyes For Human Action Understanding. - Nie Lin; Yansen Wang; Dongqi Han; Weibang Jiang; Jingyuan Li; Ryosuke Furuta; Yoichi Sato 001; Dongsheng Li 002 (CoRR, 2025)

Zero-Shot EEG-to-Gait Decoding via Phase-Aware Representation Learning. - Xi Fu; Weibang Jiang; Rui Liu 034; Gernot R. Müller-Putz; Cuntai Guan (CoRR, 2025)