| 2024 | ICASSP | Temporal-Spatial Prediction: Pre-Training on Diverse Datasets for EEG Classification. | Ziyi Li, Li-Ming Zhao, Wei-Long Zheng, Bao-Liang Lu |
| 2024 | ICLR | Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI. | Wei-Bang Jiang, Li-Ming Zhao, Bao-Liang Lu |
| 2024 | ICONIP | A Multi-task Emotion Recognition Model Based on Continuously Labeled EEG Signals. | Rong-Fei Gu, Yi-Dong Zhao, Li-Ming Zhao, Wei-Long Zheng, Bao-Liang Lu |
| 2024 | IJCNN | Detecting Major Depression Disorder with Multiview Eye Movement Features in a Novel Oil Painting Paradigm. | Tian-Fang Ma, Lu-Yu Liu, Li-Ming Zhao, Dan Peng, Yong Lu, Wei-Long Zheng, Bao-Liang Lu |
| 2021 | AAAI | Plug-and-Play Domain Adaptation for Cross-Subject EEG-based Emotion Recognition. | Li-Ming Zhao, Xu Yan, Bao-Liang Lu |
| 2021 | ICONIP | A Cross-subject and Cross-modal Model for Multimodal Emotion Recognition. | Jian-Ming Zhang, Xu Yan, Ziyi Li, Li-Ming Zhao, Yu-Zhong Liu, Hua-Liang Li, Bao-Liang Lu |
| 2018 | ICONIP | Active Feedback Framework with Scan-Path Clustering for Deep Affective Models. | Li-Ming Zhao, Xin-Wei Li, Wei-Long Zheng, Bao-Liang Lu |