Yi Ding

According to our database, Yi Ding authored at least 28 papers between 2019 and 2025.

Collaborative distances:

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

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

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

Beyond Overfitting: Doubly Adaptive Dropout for Generalizable AU Detection.

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

CoRR, 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

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

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

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