| 2026 | AAAI | MindCross: Fast New Subject Adaptation with Limited Data for Cross-subject Video Reconstruction from Brain Signals. | Xuan-Hao Liu, Yan-Kai Liu, Tianyi Zhou, Bao-Liang Lu, Wei-Long Zheng |
| 2026 | AAAI | A Multimodal EEG-Eye Movement Model for Automatic Depression Detection. | Hao-Long Yin, Jian-Ming Zhang, Ren-Jie Dai, Wei-Long Zheng, Qinyu Lv, Zhenghui Yi, Bao-Liang Lu |
| 2025 | AAAI | Multi-to-Single: Reducing Multimodal Dependency in Emotion Recognition Through Contrastive Learning. | Yan-Kai Liu, Jinyu Cai, Bao-Liang Lu, Wei-Long Zheng |
| 2025 | CogSci | Self-supervised EEG Representation Learning based on Temporal Prediction and Spatial Reconstruction for Emotion Recognition. | Ren-Jie Dai, Keya Hu, Hao-Long Yin, Bao-Liang Lu, Wei-Long Zheng |
| 2025 | CogSci | mixEEG: Enhancing EEG Federated Learning for Cross-subject EEG Classification with Tailored mixup. | Xuan-Hao Liu, Bao-Liang Lu, Wei-Long Zheng |
| 2025 | ICASSP | Gram: A Large-Scale General EEG Model for Raw Data Classification and Restoration Tasks. | Ziyi Li, Wei-Long Zheng, Bao-Liang Lu |
| 2025 | ICASSP | Multi-Source Multi-Target Domain Similarity Network for Cross-Cultural EEG Emotion Recognition. | Haiqing Hu, Hanwen Shi, Bao-Liang Lu, Wei-Long Zheng |
| 2025 | ICASSP | Double Domain Converter Transformer For Improving EEG-Based Emotion Recognition from Video to Game Scenarios. | Jun-Yu Pan, Hao-Long Yin, Wei-Long Zheng |
| 2025 | ICASSP | STAR: A Spatial-Temporal Autoencoder for EEG Restoration in Emotion Recognition. | Hao-Long Yin, Wei-Long Zheng, Bao-Liang Lu |
| 2025 | ICASSP | 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 |
| 2025 | ICCV | EEGMirror: Leveraging EEG Data in the Wild Via Montage-Agnostic Self-Supervision for EEG to Video Decoding. | Xuan-Hao Liu, Bao-Liang Lu, Wei-Long Zheng |
| 2025 | ICLR | Combining Induction and Transduction for Abstract Reasoning. | Wen-Ding Li, Keya Hu, Carter Larsen, Yuqing Wu, Simon Alford, Caleb Woo, Spencer M. Dunn, Hao Tang, Wei-Long Zheng, Yewen Pu, Kevin Ellis |
| 2025 | ICONIP | Hierarchical Emotion Transformer for Multimodal Joint Emotion Category and Intensity Recognition. | Tian-Fang Ma, Wei-Bang Jiang, Wei-Long Zheng, Bao-Liang Lu |
| 2025 | ICONIP | Multi-session Meditative EEG Classification with Noise-Robust Self-supervision. | Zuxin Song, Fei Cheng, Mingyu Gou, Tianzhen Chen, Bao-Liang Lu, Jiang Du, Wei-Long Zheng |
| 2024 | ICASSP | Multimodal Multi-View Spectral-Spatial-Temporal Masked Autoencoder for Self-Supervised Emotion Recognition. | Pengxuan Gao, Tianyu Liu, Jia-Wen Liu, Bao-Liang Lu, Wei-Long Zheng |
| 2024 | ICASSP | Functional Emotion Transformer for EEG-Assisted Cross-Modal Emotion Recognition. | Wei-Bang Jiang, Ziyi Li, Wei-Long Zheng, Bao-Liang Lu |
| 2024 | ICASSP | 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 |
| 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 | 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 |
| 2023 | ICASSP | Elastic Graph Transformer Networks for EEG-Based Emotion Recognition. | Wei-Bang Jiang, Xu Yan, Wei-Long Zheng, Bao-Liang Lu |
| 2023 | ICONIP | DAformer: Transformer with Domain Adversarial Adaptation for EEG-Based Emotion Recognition with Live-Oil Paintings. | Zhong-Wei Jin, Jiawen Liu, Wei-Long Zheng, Bao-Liang Lu |
| 2023 | ICONIP | 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 |
| 2023 | ICONIP | Naturalistic Emotion Recognition Using EEG and Eye Movements. | Jian-Ming Zhang, Jiawen Liu, Ziyi Li, Tian-Fang Ma, Yiting Wang, Wei-Long Zheng, Bao-Liang Lu |
| 2023 | IJCNN | Cross-Subject Decision Confidence Estimation from EEG Signals Using Spectral-Spatial-Temporal Adaptive GCN with Domain Adaptation. | Rong-Fei Gu, Rui Li, Wei-Long Zheng, Bao-Liang Lu |
| 2022 | ICONIP | Few-Shot Class-Incremental Learning for EEG-Based Emotion Recognition. | Tian-Fang Ma, Wei-Long Zheng, Bao-Liang Lu |
| 2019 | ICONIP | Reducing the Subject Variability of EEG Signals with Adversarial Domain Generalization. | Bo-Qun Ma, He Li, Wei-Long Zheng, Bao-Liang Lu |
| 2018 | ICONIP | Cross-Subject Emotion Recognition Using Deep Adaptation Networks. | He Li, Yiming Jin, Wei-Long Zheng, Bao-Liang Lu |
| 2018 | ICONIP | WGAN Domain Adaptation for EEG-Based Emotion Recognition. | Yun Luo, Si-Yang Zhang, Wei-Long Zheng, 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 |
| 2018 | IJCNN | Multimodal Vigilance Estimation with Adversarial Domain Adaptation Networks. | He Li, Wei-Long Zheng, Bao-Liang Lu |
| 2018 | IJCNN | Sleep Quality Estimation with Adversarial Domain Adaptation: From Laboratory to Real Scenario. | Jia-Jun Tong, Yun Luo, Bo-Qun Ma, Wei-Long Zheng, Bao-Liang Lu, Xiao-Qi Song, Shi-Wei Ma |
| 2017 | ICONIP | Multimodal Emotion Recognition Using Deep Neural Networks. | Hao Tang, Wei Liu, Wei-Long Zheng, Bao-Liang Lu |
| 2017 | ICONIP | Identifying Gender Differences in Multimodal Emotion Recognition Using Bimodal Deep AutoEncoder. | Xue Yan, Wei-Long Zheng, Wei Liu, Bao-Liang Lu |
| 2017 | ICONIP | Investigating Gender Differences of Brain Areas in Emotion Recognition Using LSTM Neural Network. | Xue Yan, Wei-Long Zheng, Wei Liu, Bao-Liang Lu |
| 2017 | ICONIP | EEG-Based Sleep Quality Evaluation with Deep Transfer Learning. | Xing-Zan Zhang, Wei-Long Zheng, Bao-Liang Lu |
| 2017 | ICONIP | Emotion Annotation Using Hierarchical Aligned Cluster Analysis. | Wei-Ye Zhao, Sheng Fang, Ting Ji, Qian Ji, Wei-Long Zheng, Bao-Liang Lu |
| 2016 | ICONIP | Emotion Recognition Using Multimodal Deep Learning. | Wei Liu, Wei-Long Zheng, Bao-Liang Lu |
| 2016 | ICONIP | Continuous Vigilance Estimation Using LSTM Neural Networks. | Nan Zhang, Wei-Long Zheng, Wei Liu, Bao-Liang Lu |
| 2016 | IJCAI | Personalizing EEG-Based Affective Models with Transfer Learning. | Wei-Long Zheng, Bao-Liang Lu |
| 2016 | IJCNN | Driving fatigue detection with fusion of EEG and forehead EOG. | Xue-Qin Huo, Wei-Long Zheng, Bao-Liang Lu |
| 2016 | IJCNN | Measuring sleep quality from EEG with machine learning approaches. | Li-Li Wang, Wei-Long Zheng, Hai-Wei Ma, Bao-Liang Lu |
| 2015 | ACII | Transfer components between subjects for EEG-based emotion recognition. | Wei-Long Zheng, Yong-Qi Zhang, Jia-Yi Zhu, Bao-Liang Lu |
| 2015 | ICONIP | Transfer Components Between Subjects for EEG-based Driving Fatigue Detection. | Yong-Qi Zhang, Wei-Long Zheng, Bao-Liang Lu |
| 2015 | IJCAI | Combining Eye Movements and EEG to Enhance Emotion Recognition. | Yifei Lu, Wei-Long Zheng, Binbin Li, Bao-Liang Lu |
| 2014 | ICONIP | Online Object Tracking Based on Depth Image with Sparse Coding. | Shan-Chun Shen, Wei-Long Zheng, Bao-Liang Lu |
| 2014 | IJCNN | EOG-based drowsiness detection using convolutional neural networks. | Xuemin Zhu, Wei-Long Zheng, Bao-Liang Lu, Xiaoping Chen, Shanguang Chen, Chunhui Wang |
| 2014 | IJCNN | EEG-based emotion recognition using discriminative graph regularized extreme learning machine. | Jia-Yi Zhu, Wei-Long Zheng, Yong Peng, Ruo-Nan Duan, Bao-Liang Lu |