Yi Ding

Orcid: 0000-0003-2365-3568

Affiliations:
  • Nanyang Technological University, School of Computer Science and Engineering, Singapore (Ma 2018)


According to our database1, Yi Ding authored at least 15 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
TSception: Capturing Temporal Dynamics and Spatial Asymmetry From EEG for Emotion Recognition.
IEEE Trans. Affect. Comput., 2023

MASA-TCN: Multi-anchor Space-aware Temporal Convolutional Neural Networks for Continuous and Discrete EEG Emotion Recognition.
CoRR, 2023

Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning.
CoRR, 2023

MTDN: Learning Multiple Temporal Dynamics Representation for Emotional Valence Classification with EEG.
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.
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.
Proceedings of the International Joint Conference on Neural Networks, 2022

Continuous Emotion Recognition using Visual-audio-linguistic Information: A Technical Report for ABAW3.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Audio-visual Attentive Fusion for Continuous Emotion Recognition.
CoRR, 2021

LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface.
CoRR, 2021

TSception: Capturing Temporal Dynamics and Spatial Asymmetry from EEG for Emotion Recognition.
CoRR, 2021

Continuous Emotion Recognition with Audio-visual Leader-follower Attentive Fusion.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Learning Generalized Representations of EEG between Multiple Cognitive Attention Tasks.
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.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Motor-Controlled Spindle (MCS) Detection for Primate in BCI System.
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.
Proceedings of the 8th Graz Brain-Computer Interface Conference 2019, 2019


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