Yi Ding

According to our database, Yi Ding authored at least 43 papers between 2019 and 2026.

Collaborative distances:

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

2026

DLink: Distilling Layer-wise and Dominant Knowledge from EEG Foundation Models.

Jingyuan Wang, Meiyan Xu, Zhihao Jia, Chenyu Liu, Xinliang Zhou, Ziyu Jia, Yong Li, Fang Li, Junfeng Yao, Yi Ding

CoRR, April, 2026

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

CoRR, April, 2026

Decoupled Hierarchical Distillation for Multimodal Emotion Recognition.

Yong Li, Yuanzhi Wang, Yi Ding, Shiqing Zhang, Ke Lu, Cuntai Guan

CoRR, February, 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

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 Process. Mag., September, 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

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

CoRR, September, 2025

Introducing Multimodal Paradigm for Learning Sleep Staging PSG via General-Purpose Model.

Jianheng Zhou, Chenyu Liu, Jinan Zhou, Yi Ding, Yang Liu, Haoran Luo, Ziyu Jia, Xinliang Zhou

CoRR, September, 2025

ECHO: Toward Contextual Seq2Seq Paradigms in Large EEG Models.

Chenyu Liu, Yuqiu Deng, Tianyu Liu, Jinan Zhou, Xinliang Zhou, Ziyu Jia, Yi Ding

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

EmT: A Novel Transformer for Generalized Cross-Subject EEG Emotion Recognition.

Yi Ding, Chengxuan Tong, Shuailei Zhang, Muyun Jiang, Yong Li, Kevin Junliang Lim, Cuntai Guan

IEEE Trans. Neural Networks Learn. Syst., June, 2025

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

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

CoRR, April, 2025

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment.

Kun Wang, Guibin Zhang, Zhenhong Zhou, Jiahao Wu, Miao Yu, Shiqian Zhao, Chenlong Yin, Jinhu Fu, Yibo Yan, Hanjun Luo, Liang Lin, Zhihao Xu, Haolang Lu, Xinye Cao, Xinyun Zhou, Weifei Jin, Fanci Meng, Junyuan Mao, Hao Wu, Minghe Wang, Fan Zhang, Junfeng Fang, Chengwei Liu, Yifan Zhang, Qiankun Li, Chongye Guo, Yalan Qin, Yi Ding, Donghai Hong, Jiaming Ji, Xinfeng Li, Yifan Jiang, Dongxia Wang, Yihao Huang, Yufei Guo, Jen-tse Huang, Yanwei Yue, Wenke Huang, Guancheng Wan, Tianlin Li, Lei Bai, Jie Zhang, Qing Guo, Jingyi Wang, Tianlong Chen, Joey Tianyi Zhou, Xiaojun Jia, Weisong Sun, Cong Wu, Jing Chen, Xuming Hu, Yiming Li, Xiao Wang, Ningyu Zhang, Luu Anh Tuan, Guowen Xu, Tianwei Zhang, Xingjun Ma, Xiang Wang, Bo An, Jun Sun, Mohit Bansal, Shirui Pan, Yuval Elovici, Bhavya Kailkhura, Bo Li, Yaodong Yang, Hongwei Li, Wenyuan Xu, Yizhou Sun, Wei Wang, Qing Li, Ke Tang, Yu-Gang Jiang, Felix Juefei-Xu, Hui Xiong, Xiaofeng Wang, Shuicheng Yan, Dacheng Tao, Philip S. Yu, Qingsong Wen, Yang Liu

CoRR, April, 2025

Decoding Covert Speech from EEG Using a Functional Areas Spatio-Temporal Transformer.

Muyun Jiang, Yi Ding, Wei Zhang, Kok Ann Colin Teo, Laiguan Fong, Shuailei Zhang, Zhiwei Guo, Chenyu Liu, Raghavan Bhuvanakantham, Wei Khang Jeremy Sim, Chuan Huat Vince Foo, Rong Hui Jonathan Chua, Parasuraman Padmanabhan, Victoria Leong, Jia Lu, Balázs Gulyás, Cuntai Guan

CoRR, April, 2025

REI-Net: A Reference Electrode Standardization Interpolation Technique Based 3D CNN for Motor Imagery Classification.

Meiyan Xu, Jie Jiao, Duo Chen, Yi Ding, Qingqing Chen, Jipeng Wu, Peipei Gu, Yijie Pan, Xueping Peng, Naian Xiao, Bokai Yang, Qiyuan Li, Jiayang Guo

IEEE J. Biomed. Health Informatics, March, 2025

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 J. Biomed. Health Informatics, March, 2025

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 Trans. Image Process., 2025

Beyond Overfitting: Doubly Adaptive Dropout for Generalizable AU Detection.

Yong Li, Yi Ren, Xuesong Niu, Yi Ding, Xiu-Shen Wei, Cuntai Guan

IEEE Trans. Affect. Comput., 2025

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

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

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

SelectiveFinetuning: Enhancing Transfer Learning In Sleep Staging Through Selective Domain Alignment.

Siyuan Zhao, Chenyu Liu, Yi Ding, Xinliang Zhou

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

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

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

LGGNet: Learning From Local-Global-Graph Representations for Brain-Computer Interface.

Yi Ding, Neethu Robinson, Chengxuan Tong, Qiuhao Zeng, Cuntai Guan

IEEE Trans. Neural Networks Learn. Syst., July, 2024

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 J. Biomed. Health Informatics, July, 2024

Leveraging temporal dependency for cross-subject-MI BCIs by contrastive learning and self-attention.

Hao Sun, Yi Ding, Jianzhu Bao, Ke Qin, Chengxuan Tong, Jing Jin, Cuntai Guan

Neural Networks, 2024

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

BiT-MamSleep: Bidirectional Temporal Mamba for EEG Sleep Staging.

Xinliang Zhou, Yuzhe Han, Zhisheng Chen, Chenyu Liu, Yi Ding, Ziyu Jia, Yang Liu

CoRR, 2024

A Comprehensive Survey on EEG-Based Emotion Recognition: A Graph-Based Perspective.

Chenyu Liu, Xinliang Zhou, Yihao Wu, Yi Ding, Liming Zhai, Kun Wang, Ziyu Jia, Yang Liu

CoRR, 2024

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

CoRR, 2024

EEG-Deformer: A Dense Convolutional Transformer for Brain-computer Interfaces.

Yi Ding, Yong Li, Hao Sun, Rui Liu, Chengxuan Tong, Cuntai Guan

CoRR, 2024

2023

TSception: Capturing Temporal Dynamics and Spatial Asymmetry From EEG for Emotion Recognition.

Yi Ding, Neethu Robinson, Su Zhang, Qiuhao Zeng, Cuntai Guan

IEEE Trans. Affect. Comput., 2023

MTDN: Learning Multiple Temporal Dynamics Representation for Emotional Valence Classification with EEG.

Chengxuan Tong, Yi Ding, Kevin Junliang Lim, Cuntai Guan

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

GIGN: Learning Graph-in-graph Representations of EEG Signals for Continuous Emotion Recognition.

Yi Ding, Cuntai Guan

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

TESANet: Self-attention network for olfactory EEG classification.

Chengxuan Tong, Yi Ding, Kevin Junliang Lim, Zhuo Zhang, Haihong Zhang, Cuntai Guan

Proceedings of the International Joint Conference on Neural Networks, 2022

Continuous Emotion Recognition using Visual-audio-linguistic Information: A Technical Report for ABAW3.

Su Zhang, Ruyi An, Yi Ding, Cuntai Guan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Audio-visual Attentive Fusion for Continuous Emotion Recognition.

Su Zhang, Yi Ding, Ziquan Wei, Cuntai Guan

CoRR, 2021

LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface.

Yi Ding, Neethu Robinson, Qiuhao Zeng, Cuntai Guan

CoRR, 2021

TSception: Capturing Temporal Dynamics and Spatial Asymmetry from EEG for Emotion Recognition.

Yi Ding, Neethu Robinson, Qiuhao Zeng, Cuntai Guan

CoRR, 2021

Continuous Emotion Recognition with Audio-visual Leader-follower Attentive Fusion.

Su Zhang, Yi Ding, Ziquan Wei, Cuntai Guan

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Learning Generalized Representations of EEG between Multiple Cognitive Attention Tasks.

Yi Ding, Nigel Wei Jun Ang, Aung Aung Phyo Wai, Cuntai Guan

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

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

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Motor-Controlled Spindle (MCS) Detection for Primate in BCI System.

Duo Chen, Rosa Q. So, Yi Ding, Cuntai Guan

Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Intracortical Activity decoding of motor imagery based on Deep Convolutional Neural Network: a Pilot Study.

Duo Chen, Rosa Q. So, Yi Ding, Cuntai Guan

Proceedings of the 8th Graz Brain-Computer Interface Conference 2019, 2019