Dr. Yi Ding

Dr. Yi Ding

Brain-aware AI for emotion, cognition, and health

Publications

For citation counts and the most up-to-date record, see my Google Scholar profile.

Journal Papers

  1. EmT: A Novel Transformer for Generalized Cross-subject EEG Emotion Recognition
    Yi Ding, Chengxuan Tong, Shuailei Zhang, Muyun Jiang, Yong Li, Kevin Lim Jun Liang, Cuntai Guan.
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2025. 馃弳 Highly Cited (WoS)
    Paper 路 PDF 路 Code

  2. EEG-Deformer: A Dense Convolutional Transformer for Brain-Computer Interfaces
    Yi Ding, Yong Li, Hao Sun, Rui Liu, Chengxuan Tong, Chenyu Liu, Xinliang Zhou, Cuntai Guan.
    IEEE Journal of Biomedical and Health Informatics (J-BHI), 2025. 馃弳 Highly Cited (WoS)
    Paper 路 PDF 路 Code

  3. MASA-TCN: Multi-anchor Space-aware Temporal Convolutional Neural Networks for Continuous and Discrete EEG Emotion Recognition
    Yi Ding, Su Zhang, Chuangao Tang, Cuntai Guan.
    IEEE Journal of Biomedical and Health Informatics (J-BHI), 2024.
    Paper 路 PDF 路 Code

  4. LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface
    Yi Ding, Neethu Robinson, Chengxuan Tong, Qiuhao Zeng, Cuntai Guan.
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023. 馃弳 Highly Cited (WoS)
    Paper 路 PDF 路 Code

  5. TSception: Capturing Temporal Dynamics and Spatial Asymmetry from EEG for Emotion Recognition
    Yi Ding, Neethu Robinson, Su Zhang, Qiuhao Zeng, Cuntai Guan.
    IEEE Transactions on Affective Computing (TAFFC), 2022. 馃弳 Highly Cited (WoS)
    Paper 路 PDF 路 Code

  6. Brain Foundation Models: A Survey on Advancements in Neural Signal Processing and Brain Discovery
    Xinliang Zhou, Chenyu Liu, Zhisheng Chen, Kun Wang, Yi Ding, Ziyu Jia, Qingsong Wen.
    IEEE Signal Processing Magazine, 2025. Corresponding Author
    Paper 路 PDF

  7. BiT-MamSleep: Bidirectional Temporal Mamba for EEG Sleep Staging
    Xinliang Zhou, Yuzhe Han, Zhisheng Chen, Chenyu Liu, Yi Ding, Ziyu Jia, Yang Liu
    IEEE Transactions on Emerging Topics in Computational Intelligence, 2026 DOI: 10.1109/TETCI.2026.3728064. Corresponding Author Paper 路 PDF

  8. Neuroscience-Inspired Hierarchical GNN for Grasping Attempt Classification
    Xiaohao Lin, Yucheng Wang, Yi Ding, Shuailei Zhang, Zhenghua Chen, Min Wu, Muyun Jiang, Kavitha Thomas, Neethu Robinson, Han Wei Ng, Nishka Khendry, Aung Aung Phyo Wai, Wenjin Xiao, Christopher Wee Keong Kuah, Seng Kwee Wee, Karen Sui Geok Chua, Cuntai Guan
    IEEE Journal of Biomedical and Health Informatics, 2026.
    Paper 路 PDF

  9. Decoupled Hierarchical Distillation for Multimodal Emotion Recognition
    Yong Li, Yuanzhi Wang, Yi Ding, Shiqing Zhang, Ke Lu, Cuntai Guan.
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026.
    Paper 路 PDF

  10. Decoding Covert Speech from EEG Using a Functional Areas Spatio-Temporal Transformer
    Muyun Jiang, Wei Zhang, Yi Ding, et al.
    IEEE Journal of Biomedical and Health Informatics (J-BHI), 2025.
    Paper 路 PDF路 Code

  11. Decoding Olfactory Response from Neurophysiological Signal with a Multi-modal Deep Learning Framework
    Chengxuan Tong, Yi Ding, Aung Aung Phyo Wai, Hui Xin Joanna Chua, Xiaorong Wu, Kevin JunLiang Lim, Cuntai Guan.
    Neural Networks, 2025.
    Paper路 PDF

  12. SRRNet: Unseen SSVEP Response Regression from Stimulus for Cross-Stimulus Transfer in SSVEP-BCIs
    Ximing Mai, Jianjun Meng, Yi Ding, Xiangyang Zhu, Cuntai Guan.
    IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), 2025.
    Paper 路 PDF 路 Code

  13. Decoupled Doubly Contrastive Learning for Cross Domain Facial Action Unit Detection
    Yong Li, Menglin Liu, Zhen Cui, Yi Ding, Yuan Zong, Wenming Zheng, Shiguang Shan, Cuntai Guan.
    IEEE Transactions on Image Processing (TIP), 2025.
    Paper 路 PDF

  14. Beyond Overfitting: Doubly Adaptive Dropout for Generalizable AU Detection
    Yong Li, Yi Ren, Xuesong Niu, Yi Ding, Xiu-Shen Wei, Cuntai Guan.
    IEEE Transactions on Affective Computing (TAFFC), 2025.
    Paper 路 PDF

  15. REI-Net: A Reference Electrode Standardization Interpolation Technique Based 3D CNN for Motor Imagery Classification
    Meiyan Xu, Jie Jiao, Duo Chen, Yi Ding, et al.
    IEEE Journal of Biomedical and Health Informatics (J-BHI), 2025.
    Paper

  16. Leveraging Temporal Dependency for Cross-subject MI BCIs by Contrastive Learning and Self-attention
    Hao Sun, Yi Ding, Jianzhu Bao, Chengxuan Tong, Jing Jin, Cuntai Guan.
    Neural Networks, 2024.
    Paper

  17. TASA: Temporal Attention with Spatial Autoencoder Network for Odor-induced Emotion Classification Using EEG
    Chengxuan Tong, Yi Ding, Kevin Lim Jun Liang, Zhuo Zhang, Haihong Zhang, Cuntai Guan.
    IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), 2024.
    Paper 路 PDF

  18. Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning
    Rui Liu, Yuanyuan Chen, Anran Li, Yi Ding, Han Yu, Cuntai Guan.
    Neural Networks, 2024.
    Paper 路 PDF 路 Code

Conference Papers

  1. Process-conditioned Pretraining with Topographic Spatial Retrieval for Large EEG Models
    Yi Ding, Muyun Jiang, Weibang Jiang, Shuailei Zhang, Xinliang Zhou, Chenyu Liu, Shanglin Li, Yong Li, Cuntai Guan.
    The Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS), 2026.
    Paper 路 PDF 路 Code

  2. LEAF: Language-EEG Aligned Foundation Model for Brain-Computer Interfaces
    Muyun Jiang, Shuailei Zhang, Zhenjie Yang, Wu Mengjin, Wei Zhang, Weibang Jiang, Chenyu Liu, Zhiwei Guo, Rui Liu, Shangen Zhang, Yong Li, Yi Ding, Cuntai Guan.
    The Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS), 2026. Corresponding Author
    Paper 路 PDF 路 Code

  3. EEG-Based Multimodal Learning via Hyperbolic Mixture-of-Curvature Experts
    Runhe Zhou, Shanglin Li, Guanxiang Huang, Xinliang Zhou, Qibin Zhao, Motoaki Kawanabe, Yi Ding, Cuntai Guan.
    International Conference on Machine Learning (ICML), 2026. Corresponding Author
    Paper 路 PDF 路 Code

  4. EmBrace: A Collective Knowledge Fusion Framework Toward Unified EEG Foundation Models
    Ziyu Jia, Junyi Lin, Pu Wang, Jinxin Pi, Jingying Ma, Xinliang Zhou, Peiliang Gong, Yi Ding, Chenyu Liu.
    International Conference on Machine Learning (ICML), 2026. Corresponding Author
    Paper 路 PDF 路 Code

  5. ECHO: Toward Contextual Seq2Seq Paradigms in Large EEG Models
    Chenyu Liu, Yuqiu Deng, Tianyu Liu, Jinan Zhou, Xinliang Zhou, Ziyu Jia, Yi Ding.
    International Conference on Learning Representations (ICLR), 2026. Corresponding Author
    Paper 路 PDF

  6. 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.
    AAAI Conference on Artificial Intelligence, 2026. Corresponding Author
    Paper 路 PDF 路 Code

  7. Sera: Separated Coarse-to-fine Representation Alignment for Cross-subject EEG-based Emotion Recognition
    Zhihao Jia, Meiyan Xu, Jingyuan Wang, Ziyu Jia, Yong Li, Xinliang Zhou, Chenyu Liu, Junfeng Yao, Yi Ding.
    ACM Multimedia, 2025. Corresponding Author
    Paper 路 PDF 路 Code

  8. Decoding Human Attentive States from Spatial-temporal EEG Patches Using Transformers
    Yi Ding, Joon Hei Lee, Shuailei Zhang, Tianze Luo, Cuntai Guan.
    IEEE EMBC, 2025. Oral
    Paper 路 PDF 路 Code

  9. SelectiveFinetuning: Enhancing Transfer Learning in Sleep Staging Through Selective Domain Alignment
    Siyuan Zhao, Chenyu Liu, Yi Ding, Xinliang Zhou.
    IEEE ICASSP, 2025. Corresponding Author
    Paper 路 PDF

  10. GIGN: Learning Graph-in-graph Representations of EEG Signals for Continuous Emotion Recognition
    Yi Ding, Cuntai Guan.
    IEEE EMBC, 2023. Oral
    Paper 路 PDF 路 Code

  11. Learning Generalized Representations of EEG between Multiple Cognitive Attention Tasks
    Yi Ding, Nigel Wei Jun Ang, Aung Aung Phyo Wai, Cuntai Guan.
    IEEE EMBC, 2021.
    Paper 路 PDF

  12. Continuous Emotion Recognition With Audio-Visual Leader-Follower Attentive Fusion
    Su Zhang, Yi Ding, Ziquan Wei, Cuntai Guan.
    IEEE/CVF ICCV Workshops, 2021. Equal Contribution
    Paper 路 PDF 路 Code

  13. TSception: A Deep Learning Framework for Emotion Detection Using EEG
    Yi Ding, Neethu Robinson, Qiuhao Zeng, Duo Chen, Aung Aung Phyo Wai, Tih-Shih Lee, Cuntai Guan.
    International Joint Conference on Neural Networks (IJCNN), 2020.
    Paper 路 PDF 路 Code

  14. DEFT: Disentanglement-Enhanced Fine-Tuning for EEG Foundation Models
    Yuqiu Deng, Muyun Jiang, Zongpeng Zhang, Mingqing Xiao, Yansen Wang, Peiliang Gong, Xinliang Zhou, Yi Ding, Ziyu Jia, Cuntai Guan, Chenyu Liu.
    The Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS), 2026. Poster
    Paper 路 PDF 路 Code

  15. REM-Flow: Robust and Extensible Multi-Center Sleep Staging via Generative Knowledge Replay
    Xiaojun Ning, Jing Wang, Chenzhang Li, Shaowen Wan, Ruiming Tian, Xiyuan Jin, Yi Ding, Ziyu Jia, Youfang Lin.
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2026.
    Paper 路Code

  16. Graph Neural Networks in EEG-based Emotion Recognition: A Survey
    Chenyu Liu, Xinliang Zhou, Yihao Wu, Ruizhi Yang, Zhongruo Wang, Yi Ding, Liming Zhai, Ziyu Jia, Yang Liu.
    PAKDD, 2026.
    Paper 路 PDF

  17. Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning
    Zhisheng Chen, Yingwei Zhang, Qizhen Lan, Tianyu Liu, Huacan Wang, Yi Ding, Ziyu Jia, Ronghao Chen, Kun Wang, Xinliang Zhou.
    International Conference on Learning Representations (ICLR), 2026.
    Paper 路 PDF

  18. HEEGNet: Hyperbolic Embeddings for EEG
    Shanglin Li, Shiwen Chu, Okan Ko莽, Yi Ding, Qibin Zhao, Motoaki Kawanabe, Ziheng Chen.
    International Conference on Learning Representations (ICLR), 2026.
    Paper 路 PDF路 Code

  19. REFED: A Subject Real-time Dynamic Labeled EEG-fNIRS Synchronized Recorded Emotion Dataset
    Xiaojun Ning, Jing Wang, Zhiyang Feng, Tianzuo Xin, Shuo Zhang, Shaoqi Zhang, Zheng Lian, Yi Ding, Youfang Lin, Ziyu Jia.
    NeurIPS, 2025.
    Paper 路 PDF

  20. CAT-Net: A Co-Adaptive Transfer Learning Network for BCI-Assisted Neurorehabilitation
    Shuailei Zhang, Yi Ding, Muyun Jiang, Ning Tang, Effie Chew, Kai Keng Ang, Cuntai Guan.
    IEEE ICASSP, 2025. Oral
    Paper 路 PDF

  21. MTDN: Learning Multiple Temporal Dynamics Representation for Emotional Valence Classification with EEG
    Chengxuan Tong, Yi Ding, Kevin Lim Jun Liang, Cuntai Guan.
    IEEE EMBC, 2023.
    Paper 路 PDF

  22. TESANet: Self-attention Network for Olfactory EEG Classification
    Chengxuan Tong, Yi Ding, Kevin Lim Jun Liang, Zhuo Zhang, Haihong Zhang, Cuntai Guan.
    International Joint Conference on Neural Networks (IJCNN), 2022.
    Paper 路 PDF

  23. Continuous Emotion Recognition Using Visual-Audio-Linguistic Information: A Technical Report for ABAW3
    Su Zhang, Ruyi An, Yi Ding, Cuntai Guan.
    IEEE/CVF CVPR Workshops, 2022. Runner-up, ABAW Valence-Arousal Challenge
    Paper 路 PDF 路 Code

  24. Motor-Controlled Spindle (MCS) Detection for Primate in BCI System
    Duo Chen, Rosa So, Yi Ding, Cuntai Guan.
    International IEEE/EMBS Conference on Neural Engineering (NER), 2019.
    Paper 路 PDF

  25. Intracortical Activity Decoding of Motor Imagery Based on Deep Convolutional Neural Network: A Pilot Study
    Duo Chen, Rosa So, Yi Ding, Cuntai Guan.
    Graz Brain-Computer Interface Conference (GBCIC), 2019.