Wei-Bang Jiang

According to our database, Wei-Bang Jiang authored at least 24 papers between 2021 and 2026.

Collaborative distances:

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

2026

EEG-to-gait decoding via phase-aware representation learning.

Xi Fu, Weibang Jiang, Rui Liu, Gernot R. Müller-Putz, Cuntai Guan

Neural Networks, 2026

EEG-DLite: Dataset Distillation for Efficient Large EEG Model Training.

Yuting Tang, Weibang Jiang, Shanglin Li, Yong Li, Chenyu Liu, Xinliang Zhou, Yi Ding, Cuntai Guan

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

ELASTIQ: EEG-Language Alignment with Semantic Task Instruction and Querying.

Muyun Jiang, Shuailei Zhang, Zhenjie Yang, Mengjun Wu, Weibang Jiang, Zhiwei Guo, Wei Zhang, Rui Liu, Shangen Zhang, Yong Li, Yi Ding, Cuntai Guan

CoRR, September, 2025

BrainPro: Towards Large-scale Brain State-aware EEG Representation Learning.

Yi Ding, Muyun Jiang, Weibang Jiang, Shuailei Zhang, Xinliang Zhou, Chenyu Liu, Shanglin Li, Yong Li, Cuntai Guan

CoRR, September, 2025

Zero-Shot EEG-to-Gait Decoding via Phase-Aware Representation Learning.

Xi Fu, Weibang Jiang, Rui Liu, Gernot R. Müller-Putz, Cuntai Guan

CoRR, June, 2025

EgoBrain: Synergizing Minds and Eyes For Human Action Understanding.

Nie Lin, Yansen Wang, Dongqi Han, Weibang Jiang, Jingyuan Li, Ryosuke Furuta, Yoichi Sato, Dongsheng Li

CoRR, June, 2025

Towards Robust Multimodal Physiological Foundation Models: Handling Arbitrary Missing Modalities.

Xi Fu, Wei-Bang Jiang, Yi Ding, Cuntai Guan

CoRR, April, 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

Hierarchical Emotion Transformer for Multimodal Joint Emotion Category and Intensity Recognition.

Tian-Fang Ma, Wei-Bang Jiang, Wei-Long Zheng, Bao-Liang Lu

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

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

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

REmoNet: Reducing Emotional Label Noise via Multi-regularized Self-supervision.

Wei-Bang Jiang, Yu-Ting Lan, Bao-Liang Lu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI.

Wei-Bang Jiang, Li-Ming Zhao, Bao-Liang Lu

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the IEEE International Conference on Acoustics, 2024

Functional Emotion Transformer for EEG-Assisted Cross-Modal Emotion Recognition.

Wei-Bang Jiang, Ziyi Li, Wei-Long Zheng, Bao-Liang Lu

Proceedings of the IEEE International Conference on Acoustics, 2024

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

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

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

Proceedings of the 31st ACM International Conference on Multimedia, 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

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Elastic Graph Transformer Networks for EEG-Based Emotion Recognition.

Wei-Bang Jiang, Xu Yan, Wei-Long Zheng, Bao-Liang Lu

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Increasing the Stability of EEG-based Emotion Recognition with a Variant of Neural Processes.

Yan-Kai Liu, Wei-Bang Jiang, Bao-Liang Lu

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Emotion Transformer Fusion: Complementary Representation Properties of EEG and Eye Movements on Recognizing Anger and Surprise.

Yiting Wang, Wei-Bang Jiang, Rui Li, Bao-Liang Lu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Discriminating Surprise and Anger from EEG and Eye Movements with a Graph Network.

Wei-Bang Jiang, Li-Ming Zhao, Ping Guo, Bao-Liang Lu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021