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)

Emotion Recognition from Eye Movements Using Multi-way Autoregressive Model. - Tian-Fang Ma; Xuan-Hao Liu; Wei-Long Zheng; Bao-Liang Lu (BIBM, 2024)

EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals. - Xuan-Hao Liu; Yan-Kai Liu; Yansen Wang; Kan Ren; Hanwen Shi; Zilong Wang 006; Dongsheng Li 002; Bao-Liang Lu; Wei-Long Zheng (NeurIPS, 2024)

Professor X: Manipulating EEG BCI with Invisible and Robust Backdoor Attack. - Xuan-Hao Liu; Xinhao Song; Dexuan He; Bao-Liang Lu; Wei-Long Zheng (CoRR, 2024)

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)

mixEEG: Enhancing EEG Federated Learning for Cross-subject EEG Classification with Tailored mixup. - Xuan-Hao Liu; Bao-Liang Lu; Wei-Long Zheng (CoRR, 2025)