2026

BioMTAN: A Biological Knowledge-Guided Multi-Task Attention Network for Co-Enhanced Cancer Diagnosis and Prognosis
BioMTAN: A Biological Knowledge-Guided Multi-Task Attention Network for Co-Enhanced Cancer Diagnosis and Prognosis

Ying Chen*, Jiajing Xie*, Yuxiang Lin, Yuhang Song, Wenxian Yang, Rongshan Yu# (* equal contribution, # corresponding author)

IEEE Journal of Biomedical and Health Informatics (JBHI) 2026

BioMTAN integrates biological pathway knowledge with multi-task attention to jointly predict cancer molecular subtypes and survival risk from gene expression data.

BioMTAN: A Biological Knowledge-Guided Multi-Task Attention Network for Co-Enhanced Cancer Diagnosis and Prognosis

Ying Chen*, Jiajing Xie*, Yuxiang Lin, Yuhang Song, Wenxian Yang, Rongshan Yu# (* equal contribution, # corresponding author)

IEEE Journal of Biomedical and Health Informatics (JBHI) 2026

BioMTAN integrates biological pathway knowledge with multi-task attention to jointly predict cancer molecular subtypes and survival risk from gene expression data.

2025

SurvMamba: State Space Model with Multi-Grained Multi-Modal Interaction for Survival Prediction
SurvMamba: State Space Model with Multi-Grained Multi-Modal Interaction for Survival Prediction

Ying Chen, Jiajing Xie, Yuxiang Lin, Yuhang Song, Chen Zhang, Wenxian Yang, Rongshan Yu# (# corresponding author)

IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2025

SurvMamba introduces Mamba-based hierarchical intra-modal and inter-modal interaction modules to integrate whole-slide images and transcriptomic data for efficient cancer survival prediction.

SurvMamba: State Space Model with Multi-Grained Multi-Modal Interaction for Survival Prediction

Ying Chen, Jiajing Xie, Yuxiang Lin, Yuhang Song, Chen Zhang, Wenxian Yang, Rongshan Yu# (# corresponding author)

IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2025

SurvMamba introduces Mamba-based hierarchical intra-modal and inter-modal interaction modules to integrate whole-slide images and transcriptomic data for efficient cancer survival prediction.

SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding
SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding

Ying Chen*, Guoan Wang*, Yuanfeng Ji*#, Yanjun Li, Jin Ye, Tianbin Li, Ming Hu, Rongshan Yu, Yu Qiao, Junjun He# (* equal contribution, # corresponding author)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025

SlideChat is an open-source vision-language assistant for gigapixel whole-slide pathology images, built with SlideInstruction and evaluated on SlideBench across captioning and VQA tasks.

SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding

Ying Chen*, Guoan Wang*, Yuanfeng Ji*#, Yanjun Li, Jin Ye, Tianbin Li, Ming Hu, Rongshan Yu, Yu Qiao, Junjun He# (* equal contribution, # corresponding author)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025

SlideChat is an open-source vision-language assistant for gigapixel whole-slide pathology images, built with SlideInstruction and evaluated on SlideBench across captioning and VQA tasks.

2023

RAFNet: Restricted Attention Fusion Network for Sleep Apnea Detection
RAFNet: Restricted Attention Fusion Network for Sleep Apnea Detection

Ying Chen*, Huijun Yue*, Ruifeng Zou, Wenbin Lei, Wenjun Ma, Xiaomao Fan# (* equal contribution, # corresponding author)

Neural Networks 2023

RAFNet detects sleep apnea from single-lead ECG by using restricted attention to fuse target and adjacent ECG segments while suppressing redundant neighboring information.

RAFNet: Restricted Attention Fusion Network for Sleep Apnea Detection

Ying Chen*, Huijun Yue*, Ruifeng Zou, Wenbin Lei, Wenjun Ma, Xiaomao Fan# (* equal contribution, # corresponding author)

Neural Networks 2023

RAFNet detects sleep apnea from single-lead ECG by using restricted attention to fuse target and adjacent ECG segments while suppressing redundant neighboring information.