MMAN: Multi-modality aggregation network for brain segmentation from MR images. - Jingcong Li 001; Zhu Liang Yu; Zhenghui Gu; Hui Liu; Yuanqing Li 001 (Neurocomputing, 2019)

A novel multi-step Q-learning method to improve data efficiency for deep reinforcement learning. - Yinlong Yuan; Zhu Liang Yu; Zhenghui Gu; Yao Yeboah; Wei Wu 022; Xiaoyan Deng; Jingcong Li 001; Yuanqing Li 001 (Knowl. Based Syst., 2019)

Dilated-Inception Net: Multi-Scale Feature Aggregation for Cardiac Right Ventricle Segmentation. - Jingcong Li 001; Zhu Liang Yu; Zhenghui Gu; Hui Liu; Yuanqing Li 001 (IEEE Trans. Biomed. Eng., 2019)

An optimized automatic prediction of stage and grade in bladder cancer based on U-ResNet. - Xin-Zi Cao; Shengzhou Luo; Jing-Cong Li 001; Jiahui Pan 003 (J. Intell. Fuzzy Syst., 2021)

License Plate Image Reconstruction Based on Generative Adversarial Networks. - Mianfen Lin; Liangxin Liu; Fei Wang 026; Jingcong Li 001; Jiahui Pan 003 (Remote. Sens., 2021)

The MindGomoku: An Online P300 BCI Game Based on Bayesian Deep Learning. - Man Li; Feng Li 065; Jiahui Pan 003; Dengyong Zhang; Suna Zhao; Jingcong Li 001; Fei Wang 026 (Sensors, 2021)

Recent Advances in Fatigue Detection Algorithm Based on EEG. - Fei Wang 026; Yinxing Wan; Man Li; Haiyun Huang; Li Li; Xueying Hou; Jiahui Pan 003; Zhenfu Wen; Jingcong Li 001 (Intell. Autom. Soft Comput., 2023)

A novel semi-supervised meta learning method for subject-transfer brain-computer interface. - Jingcong Li 001; Fei Wang 026; Haiyun Huang; Feifei Qi; Jiahui Pan 003 (Neural Networks, 2023)

Few-shot EEG sleep staging based on transductive prototype optimization network. - Jingcong Li 001; Chaohuang Wu; Jiahui Pan 003; Fei Wang 026 (Frontiers Neuroinformatics, 2023)

A Novel Self-Supervised Learning Method for Sleep Staging and its Pilot Study on Patients with Disorder of Consciousness. - Jingcong Li 001; Quanlin Chen; Jiahui Pan 003; Haiyun Huang (CogSci, 2024)

An Investigation on EEG-based Prognosis Prediction of Patients with Disorders of Consciousness. - Jingcong Li 001; Biao Huang; Jiahui Pan 003; Fei Wang 026 (CogSci, 2024)

A Density-driven Iterative Prototype Optimization for Transductive Few-shot Learning. - Jingcong Li 001; Chunjin Ye; Fei Wang 026; Jiahui Pan 003 (IJCAI, 2024)

ST-SCGNN: A Spatio-Temporal Self-Constructing Graph Neural Network for Cross-Subject EEG-Based Emotion Recognition and Consciousness Detection. - Jiahui Pan 003; Rongming Liang; Zhipeng He 001; Jingcong Li 001; Yan Liang; Xinjie Zhou; Yanbin He; Yuanqing Li 001 (IEEE J. Biomed. Health Informatics, 2024)

DARN: An Attention-Based Neural Network Using Residual Blocks for Sleep Micro-Events Detection. - Fei Wang 026; Zhuorong Li; Jingcong Li 001 (ICASSP, 2025)

A Novel Perspective on Leveraging Hubness in VAE for Eliminating Representative Shift Vectors in Few-Shot Learning. - Quanlin Chen; Chunjin Ye; Yiming Ma; Jiahui Pan 003; Jingcong Li 001 (ICME, 2025)

A robust transductive distribution calibration method for few-shot learning. - Jingcong Li 001; Chunjin Ye; Fei Wang 026; Jiahui Pan 003 (Pattern Recognit., 2025)

HARFormer: A Masked Self-Supervised Transformer-Based Model for Human Activity Recognition With Predicting Somatosensory Tokens. - Quanlin Chen; Dehua Lu; Weisen Feng; Chunjin Ye; Lina Qiu; Jiahui Pan 003; Jingcong Li 001 (IEEE Trans. Instrum. Meas., 2025)

Subdomain Adaption Method for Cross-Domain Emotion Recognition and Clinical Consciousness Detection. - Jiahui Pan 003; Zhipeng He 001; Junbiao Zhu; Rongming Liang; Zerong Chen; Qiuyou Xie; Jingcong Li 001; Yuanqing Li 001 (IEEE Internet Things J., 2026)

Multi-Scale Dynamic Temporal Network With Graph Matching Domain Adaptation for Cross-Subject EEG Emotion Recognition. - Rongtao Chen; Zhepei Hong; Liting Li; Zhuoyi Huang; Jingcong Li 001; Jiahui Pan 003 (IEEE Trans. Affect. Comput., 2026)

SemSTNet: Medical EEG Semantic Metric Learning With Class Prototypes Generated by Pretrained Language Model. - Quanlin Chen; Chunjin Ye; Rui Xiao; Jiahui Pan 003; Jingcong Li 001 (IEEE Trans. Biomed. Eng., 2026)