Chengxuan Tong

According to our database, Chengxuan Tong authored at least 9 papers between 2022 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

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

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

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

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

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

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

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