A Method Based on Filter Bank Common Spatial Pattern for Multiclass Motor Imagery BCI. - Ziqing Xia; Likun Xia; Ming Ma 004 (IDEAL (2), 2019)

Constrained Generative Model for EEG Signals Generation. - Te Guo 002; Lufan Zhang; Rui Ding; Da Zhang; Jinhong Ding; Ming Ma 004; Likun Xia (ICONIP (3), 2021)

$ mathrm {M^{3}S text{- }CNN}$: Resting-State EEG Based Multimodal and Multiscale Feature Extraction for Student Behavior Prediction in Class. - Yehan Xu; Jingyu Luo; Junyi Liang; Shaogang Song; Ming Ma 004; Ziheng Guo; Likun Xia (ICONIP (5), 2022)

3D vessel-like structure segmentation in medical images by an edge-reinforced network. - Likun Xia; Hao Zhang 113; Yufei Wu 013; Ran Song 001; Yuhui Ma; Lei Mou; Jiang Liu 001; Yixuan Xie; Ming Ma 004; Yitian Zhao (Medical Image Anal., 2022)

A comprehensive review on GANs for time-series signals. - Da Zhang; Ming Ma 004; Likun Xia (Neural Comput. Appl., 2022)

A Novel Framework for Forecasting Mental Stress Levels Based on Physiological Signals. - Yifan Li; Binghua Li; Jinhong Ding; Yuan Feng; Ming Ma 004; Zerui Han; Yehan Xu; Likun Xia (ICONIP (9), 2023)

Rescon-Net: Transfer Learning Based Nested Model for Cerebrovascular Segmentation with Aneurysm. - Chaoran Zhang; Ming Zhao 007; Yixuan Xie; Ming Ma 004; Kaiwen Guo; Rui Ding; Hongzhen Jiang; Wei Xi; Likun Xia (ISBI, 2023)

TL-MSE2-Net: Transfer learning based nested model for cerebrovascular segmentation with aneurysms. - Chaoran Zhang; Ming Zhao 007; Yixuan Xie; Rui Ding; Ming Ma 004; Kaiwen Guo; Hongzhen Jiang; Wei Xi; Likun Xia (Comput. Biol. Medicine, 2023)

MuLHiTA: A Novel Multiclass Classification Framework With Multibranch LSTM and Hierarchical Temporal Attention for Early Detection of Mental Stress. - Likun Xia; Yuan Feng; Ziheng Guo; Jinhong Ding; Yanlei Li; Yifan Li; Ming Ma 004; Guoxi Gan; Yehan Xu; Jingyu Luo; Zhi-Ping Shi 002; Yong Guan (IEEE Trans. Neural Networks Learn. Syst., 2023)

DViTPolyp: Small Polyp Detection in Colonoscopy Videos based on Deep Vision Transformer. - Ming Ma 004; Likun Xia; Hyunseok Seo (ICECET, 2024)

Medical Text and Image Reasoning for Radiation Oncology via Large Language Model. - Ashish Beary; Likun Xia; Yading Yuan; Honggang Wang; Ming Ma 004 (ISBI, 2025)

Polyp Detection in Colonoscopy Videos via Boosted Multi-Scale Feature Fusion. - Jatin Kayasth; Ashish Beary; Likun Xia; Youshan Zhang; Ming Ma 004 (ISBI, 2025)

MS-HyFS: A novel multiscale hybrid framework with Scalable electrodes for motor imagery classification. - Ziheng Guo; Yuan Feng; Ming Ma 004; Yudi Sun; Likun Xia (Biomed. Signal Process. Control., 2025)