Ph.D., MSc, B.Eng Research Assistant Professor College of Computing & Data Science Nanyang Technological University, Singapore Member, IEEE (CIS and EMBS) and PREMIA Email: yi006@e.ntu.edu.sg/ding.yi@ntu.edu.sg [ResearchGate] [Google Scholar] [GitHub]

Biography

I am currently a Research Assitant Professor at College of Computing and Data Science, Nanyang Technological University (NTU), Singapore. I received my Ph.D. from the School of Computer Science and Engineering (SCSE) at Nanyang Technological University, Singapore in 2023, supervised by Prof Guan Cuntai. Before that, I received my MSc from the School of Electrical and Electronics Engineering (EEE) at Nanyang Technological University, Singapore in 2018, supervised by Prof Chen Tupei. Previously, I earned my B.Eng degree from the School of Information Science and Technology at Donghua University, Shanghai, China in 2017.

My research interests include brain-computer interface, deep/machine learning, graph neural networks, affective computing, computational neuroscience, foundation model, multimodal emotion recognition, and their applications in neural signal decoding and mental disorder regulation.

🤝 Students and scholars in related research fields are welcome to collaborate. Interested students who need remote research guidance can contact me 📧 . Please note that only shortlisted candidates will be replied.

News

[14-Mar-2025] 1 paper was accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS), thanks all co-authors [24-Dec-2024] I was awarded as a Research Assistant Professor in NTU, thanks to my supervisor Prof Guan [21-Dec-2024] 2 papers were accepted by ICASSP-25, thanks all co-authors [16-Dec-2024] 1 paper was accepted by IEEE Transactions on Image Processing (TIP), thanks all co-authors [16-Nov-2024] 2 papers were accepted by IEEE Journal of Biomedical and Health Informatics (J-BHI), thanks all co-authors [12-Nov-2024] 1 paper was accepted by IEEE Transactions on Affective Computing (TAFFC), thanks all co-authors [17-June-2024] 1 paper was accepted by Neural Networks (NN), thanks all co-authors [8-May-2024] 1 paper was accepted by IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), thanks all co-authors [16-Apr-2024] 1 paper was accepted by IEEE Journal of Biomedical and Health Informatics (J-BHI), thanks all co-authors [4-Jan-2024] 1 paper was accepted by Neural Networks (NN), thanks all co-authors [31-Aug-2023] LGGNet was honored with the PREMIA Best Student Paper Awards Honourable Mention 2023 [12-Apr-2023] 2 papers were accepted by EMBC-23 [11-Jan-2023] 1 paper was accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS) [25-Nov-2022] 1 PCT patent application (PCT/SG2022/050243), "Mental Arousal Level Regulation System and Method", was pubilished [19-Aug-2022] My Ph.D. Thesis, "Neurophysiology-Inspired Neural Networks for Affective Brain-Computer Interfaces", was submitted and endorsed by Prof Guan [26-Apr-2022] 1 was accepted by IJCNN-22 [16-Apr-2022] 1 was accepted by IEEE Transactions on Affective Computing (TAFFC) [15-Apr-2022] 1 was accepted by CVPRW-22 [15-Apr-2022] Our team achieved the runner-up in the Valence-arousal estimation challenge of ABAW Competition held in CVPR-22

Publications

Journal Papers

• 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. (Accepted) [JCR Q1, IF=10.4] [PDF][code]

• 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, and Cuntai Guan
  IEEE Transactions on Image Processing (TIP), 2025. [JCR Q1, IF=10.8]

• Beyond Overfitting: Doubly Adaptive Dropout for Generalizable AU Detection
  Yong Li, Yi Ren, Xuesong Niu, Yi Ding, Xiu-Shen Wei, and Cuntai Guan
  IEEE Transactions on Affective Computing (TAFFC), 2025 [JCR Q1, IF=9.6]

• EEG-Deformer: A Dense Convolutional Transformer for Brain-computer Interfaces
  Yi Ding, Yong Li, Hao Sun, Rui Liu, Chengxuan Tong, Chenyu Liu, Xinliang Zhou, and Cuntai Guan
  IEEE Journal of Biomedical and Health Informatics (J-BHI), 2024 [JCR Q1, IF=6.7][PDF][code]

• 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), 2024. [JCR Q1, IF=6.7]

• 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 (NN), 2024. [JCR Q1, IF=7.8]

• 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. [JCR Q1, IF=4.9]

• 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. [JCR Q1, IF=7.7] [PDF][code] *: equal contribution

• Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning
  Rui Liu, Yuanyuan Chen, Anran Li, Yi Ding , Han Yu, Cuntai Guan
  Neural Networks(NN), 2024. [JCR Q1, IF=7.8][PDF]

• 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. [JCR Q1, IF=10.4] [PDF][code]

• 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. [JCR Q1, IF=11.2, Highly cited (WoS-2024-May)] [PDF][code]

Conference Papers

• SelectiveFinetuning: Enhancing Transfer Learning In Sleep Staging Through Selective Domain Alignment
  Siyuan Zhao, Chenyu Liu, Yi Ding, and Xinliang Zhou
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025. [PDF]

• 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, and Cuntai Guan
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025. [PDF]

• GIGN: Learning Graph-in-graph Representations of EEG Signals for Continuous Emotion Recognition
  Yi Ding, and Cuntai Guan
  45rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2023. [code]

• MTDN: Learning Multiple Temporal Dynamics Representation for Emotional Valence Classification with EEG
  Chengxuan Tong, Yi Ding, Kevin Lim Jun Liang, and Cuntai Guan
  45rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2023.

• 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.

• 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 (CVPR) Workshops, 2022. [PDF][code]

• Learning Generalized Representations of EEG between Multiple Cognitive Attention Tasks
  Yi Ding*, Nigel Wei Jun Ang*, Aung Aung Phyo Wai, Cuntai Guan
  43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021. [PDF]*: equal contribution

• 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 (ICCV) Workshops, 2021. [PDF][code] *: equal contribution

• 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. [PDF][code]

• 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.

• Intracortical Activity decoding of motor imagery based on Deep Convolutional Neural Network: a Pilot Study.
  Duo Chen, Rosa So, Yi Ding, Cuntai Guan
  GBCIC, 2019.

Patents

• Mental Arousal Level Regulation System and Method (PCT/SG2022/050243 & 202280034110.2)

• Music-based Emotion Profiling System. (PCT/SG2023/050757)

• System and Method for Cognitive Enhancement Based on Electroencephalogram(EEG) Signals. (PCT/SG2023/050758)

Projects

• Study Mental State Detection from Brain-Computer Interface System with EEG

• Brain-Computer Interface-based Emotion Regulation for General Anxiety

• NOURISH: Next-Generation Brain-Computer-Brain Platform – A Holistic Solution for the Restoration & Enhancement of Brain Functions

• Attention-driven Car Racing Game with a Deep Learning Engine

Acadamic service

• IEEE Transactions on Neural Networks and Learning Systems, reviewer

• IEEE Internet of Things Journal, reviewer

• IEEE Journal of Biomedical and Health Informatics, reviewer

• IEEE Transactions on Signal Processing, reviewer

• IEEE Transactions on Neural Systems and Rehabilitation Engineering, reviewer

• IEEE Transactions on Cognitive and Developmental Systems, reviewer

• IEEE Transactions on Artificial Intelligence, reviewer

• IEEE Transactions on Human-Machine Systems, reviewer

• Pattern Recognition, reviewer

• Information Sciences, reviewer

• Applied Soft Computing, reviewer

• International Journal of Human-Computer Interaction, reviewer

• Neurocomputing, reviewer

• Cognitive Neurodynamics, reviewer

• Neural Processing Letters, reviewer

• Applied Artificial Intelligence, reviewer

• Brain Research Bulletin, reviewer

• ICASSP-25, IJCNN-25, EMBC-25, ACM MM-25,reviewer

• Brain-X, Young editorial board

Teaching

• Mr. Ruyi An (NTU URECA 2021-2023, and FYP 2023-2024)

• Mr. Lee Joonhei (NTU FYP 2023-2024)

• Mr. Jethro Phuah An Ping (NTU FYP 2022-2023)

• Mr. Kong Hou Jing (NTU FYP 2021-2022)

• Miss. Gan Kah Ee (NTU URECA 2020-2021)

• Miss. Yuhan Zhang (NTU URECA 2020-2021)

• Mr. Nigel Wei Jun Ang (NTU FYP 2020-2021)