Ph.D., MSc Member, IEEE (CIS and EMBS) and PREMIA Research Fellow School of Computer Science and Engineering Nanyang Technological University, Singapore Email: yi006@e.ntu.edu.sg [ResearchGate] [Google Scholar] [GitHub]

Biography

I get my Ph.D. from the School of Computer Science and Engineering (SCSE), Nanyang Technological University, Singapore, supervised by Prof Guan Cuntai. Before that, I received my MSc in the School of Electrical and Electronics Engineering (EEE), Nanyang Technological University, Singapore in 2018, supervised by Prof Chen Tupei. Previously, I received my B.Eng degree from School of Information Science and Technology, Donghua University, Shanghai, China in 2017.

My research interests include brain-computer interface, deep/machine learning, graph neural networks, affective computing, computational neuroscience, and their applications in neural signal decoding and mental disorder regulation. I recently work on discrete and continuous emotion recognition using EEG, visual, and audio signals.

News

[16-Apr-2024] MASA-TCN was accepted by IEEE Journal of Biomedical and Health Informatics (J-BHI) , thanks all co-authors [4-Jan-2024] One co-authored paper, FLEEG, was accepted by Neural Networks, thanks all co-authors [31-Aug-2023] LGGNet was honored with the PREMIA Best Student Paper Awards Honourable Mention 2023 [12-Apr-2023] Two papers were accepted by EMBC-2023 [11-Jan-2023] One paper was accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS) [25-Nov-2022] One PCT patent (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] One paper was accepted by IJCNN-22 [16-Apr-2022] One paper was accepted by IEEE Transactions on Affective Computing [15-Apr-2022] One paper 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

• 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, 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] [PDF][code]

• STECO: Self-supervised Temporal Correlation Learner for Emotion Recognition from EEG
  Ruyi An*, Yi Ding*, Ziyuan Zhao, Cuntai Guan
  Neural Networks, under review. [JCR Q1, IF=7.8] *: equal contribution

• 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), under review. [JCR Q1, IF=4.9]

• 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, under review. [JCR Q1, IF=7.8]

Conference Papers

• 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. [PDF] [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. [PDF]

• 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)

• Closed-loop Virtual Reality Exposure Therapy for Social Anxiety Disorder based on Arousal Detection from BCI. (Technology Disclosure)

• A Novel Music-based Emotion Profiling System. (Technology Disclosure)

• A Novel Cognitive Enhancement System. (Technology Disclosure)

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 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

• International Journal of Human-Computer Interaction, reviewer

• Cognitive Neurodynamics, reviewer

• Neural Processing Letters, reviewer

• Applied Artificial Intelligence, reviewer

• Brain Research Bulletin, reviewer

• Brain-X, Young editorial board

Teaching

• Mr. Ruyi An (NTU URECA 2021-2022)

• 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)