Ying Chen 陈莹

Ph.D. Student · Columbia University

I am a first-year Ph.D. student at Columbia University, where I conduct research in the Laboratory of AI & Biomedical Science (LABS) under the supervision of Prof. Junhao Wen. Prior to joining Columbia, I completed my master's degree at Xiamen University under the supervision of Prof. Rongshan Yu.

My research focuses on developing foundation models and AI agents that integrate multimodal biomedical data to understand human health, disease, and aging.

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Portrait of Ying Chen

News

Our work on SlideChat is published in Nature Cancer.

Selected Publications

All publications →
Cover image for SlideChat is a multimodal generative artificial intelligence assistant for whole-slide computational pathology across cancer types
Nature Cancer

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

Ying Chen, Chenglong Ma, Qiongqiong Li, Fang Yan , et al.

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

Paper DOI Project
Cover image for BioMTAN: A Biological Knowledge-Guided Multi-Task Attention Network for Co-Enhanced Cancer Diagnosis and Prognosis
JBHI

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

Ying Chen, Jiajing Xie, Yuxiang Lin, Yuhang Song , et al.

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

Paper DOI
Cover image for SurvMamba: State Space Model with Multi-Grained Multi-Modal Interaction for Survival Prediction
BIBM

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

Ying Chen, Jiajing Xie, Yuxiang Lin, Yuhang Song , et al.

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.

Paper Code DOI
Cover image for SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding
CVPR

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

Ying Chen, Guoan Wang, Yuanfeng Ji, Yanjun Li , et al.

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.

Paper Project
Cover image for RAFNet: Restricted Attention Fusion Network for Sleep Apnea Detection
Neural Networks

RAFNet: Restricted Attention Fusion Network for Sleep Apnea Detection

Ying Chen, Huijun Yue, Ruifeng Zou, Wenbin Lei , et al.

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

Paper DOI

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Education

Columbia UniversityPh.D. Student
Xiamen UniversityM.S. Student
South China Normal UniversityB.S. Student

Experience

Shanghai AI LABResearch Intern

Academic Services

Conference ReviewerCVPR, AAAI

Journal ReviewerTPAMI, TCSVT, BSCP

Honors & Awards

Outstanding Master's Thesis Award, Xiamen University

Merit Student Scholarship (four times), South China Normal University