Jingcong Li
Orcid: 0000-0003-4931-3035Affiliations:
- South China Normal University, School of Artificial Intelligence, Guangzhou, China
- South China Normal University, School of Software, Guangzhou, China (PhD 2019)
According to our database1,
Jingcong Li authored at least 20 papers
between 2019 and 2026.
Collaborative distances:
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Bibliography
2026
SemSTNet: Medical EEG Semantic Metric Learning With Class Prototypes Generated by Pretrained Language Model.
IEEE Trans. Biomed. Eng., May, 2026
Multi-Scale Dynamic Temporal Network With Graph Matching Domain Adaptation for Cross-Subject EEG Emotion Recognition.
IEEE Trans. Affect. Comput., 2026
Subdomain Adaption Method for Cross-Domain Emotion Recognition and Clinical Consciousness Detection.
IEEE Internet Things J., 2026
2025
HARFormer: A Masked Self-Supervised Transformer-Based Model for Human Activity Recognition With Predicting Somatosensory Tokens.
IEEE Trans. Instrum. Meas., 2025
Pattern Recognit., 2025
A Novel Perspective on Leveraging Hubness in VAE for Eliminating Representative Shift Vectors in Few-Shot Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025
DARN: An Attention-Based Neural Network Using Residual Blocks for Sleep Micro-Events Detection.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
2024
ST-SCGNN: A Spatio-Temporal Self-Constructing Graph Neural Network for Cross-Subject EEG-Based Emotion Recognition and Consciousness Detection.
IEEE J. Biomed. Health Informatics, February, 2024
A Density-driven Iterative Prototype Optimization for Transductive Few-shot Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
An Investigation on EEG-based Prognosis Prediction of Patients with Disorders of Consciousness.
Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024
A Novel Self-Supervised Learning Method for Sleep Staging and its Pilot Study on Patients with Disorder of Consciousness.
Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024
2023
Frontiers Neuroinformatics, March, 2023
A novel semi-supervised meta learning method for subject-transfer brain-computer interface.
Neural Networks, 2023
Intell. Autom. Soft Comput., 2023
2021
Sensors, 2021
Remote. Sens., 2021
An optimized automatic prediction of stage and grade in bladder cancer based on U-ResNet.
J. Intell. Fuzzy Syst., 2021
2019
Dilated-Inception Net: Multi-Scale Feature Aggregation for Cardiac Right Ventricle Segmentation.
IEEE Trans. Biomed. Eng., 2019
A novel multi-step Q-learning method to improve data efficiency for deep reinforcement learning.
Knowl. Based Syst., 2019
Neurocomputing, 2019