2026

SlideChat is a multimodal generative artificial intelligence assistant for whole-slide computational pathology across cancer types
SlideChat is a multimodal generative artificial intelligence assistant for whole-slide computational pathology across cancer types

Ying Chen*, Chenglong Ma*, Qiongqiong Li, Fang Yan, Yirong Chen, Tianbin Li, Jin Ye, Ming Hu, Yuxiang Lin, Yanjun Li, Guoan Wang, Huihui Xu, Hui Dong, Xiang Wang, Xiaoxiao Xu, Yanyan Zhou, Xia Zhu, Sen Yang, Xiyue Wang, Lu Zhang, Yu Qiao, Rongshan Yu#, Junjun He#, Yuanfeng Ji# (* equal contribution, # corresponding author)

Nature Cancer 2026

SlideChat is a multimodal generative AI assistant for whole-slide pathology, supporting visual question answering and report generation across cancer types.

SlideChat is a multimodal generative artificial intelligence assistant for whole-slide computational pathology across cancer types

Ying Chen*, Chenglong Ma*, Qiongqiong Li, Fang Yan, Yirong Chen, Tianbin Li, Jin Ye, Ming Hu, Yuxiang Lin, Yanjun Li, Guoan Wang, Huihui Xu, Hui Dong, Xiang Wang, Xiaoxiao Xu, Yanyan Zhou, Xia Zhu, Sen Yang, Xiyue Wang, Lu Zhang, Yu Qiao, Rongshan Yu#, Junjun He#, Yuanfeng Ji# (* equal contribution, # corresponding author)

Nature Cancer 2026

SlideChat is a multimodal generative AI assistant for whole-slide pathology, supporting visual question answering and report generation across cancer types.

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.