About
I am a Ph.D Candidate (2022 Fall) at SMARTLab in CSE of The Hong Kong University of Science and Technology (HKUST) supervised by Prof. Hao CHEN. Before that, I obtained the B.Eng and M.Sc. degree in CS from South China University of Technology (SCUT) in 2019 and 2022.
News
One paper (co-author) was accepted by The Innovation Informatics!
One paper (co-author) was accepted by Nature Biomedical Engineering (NBME)!
One paper was accepted by Nature Communications!
Excited to announce our latest work, a pathology benchmark, PathBench.
One paper (co-author) was accepted by Nature Biomedical Engineering (NBME).
Thrilled to release the weights and code for mSTAR. The manuscript is updated and results are released at our PathBench.
One paper was accepted by CVPR 2025.
One paper (co-author) was accepted by IEEE Transactions on Medical Imaging (TMI).
Thrilled to announce our latest work mSTAR, a multimodal-enhanced whole slide pathology foundation model.
One paper (co-author) was accepted by MICCAI 2024.
One paper was accepted by TCSVT.
One paper was accepted by ICLR 2024 as Spotlight paper!!
One paper was accepted by ICCV 2023!!
I start Ph.D at SMARTLab@HKUST on 2022 Fall.
I received my master degree at SCUT.
I start internship at Tencent AI Lab.
I'm honored with National Scholarship.
Selected Publications
View All →Conference Papers
Distilled Prompt Learning for Incomplete Multimodal Survival Prediction
Yingxue Xu, Fengtao Zhou, Chenyu Zhao, Yihui Wang, Can Yang, Hao Chen*
CVPR, 2025
Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction
Yilan Zhang^, Yingxue Xu^, Jianqi Chen, Fengying Xie, Hao Chen*
ICLR, 2024 (Spotlight, top-5%)
Journal Papers
A Multimodal Knowledge-enhanced Whole-slide Pathology Foundation Model
Yingxue Xu^, Yihui Wang^, Fengtao Zhou^, Jiabo Ma, Cheng Jin, Shu Yang, Jinbang Li, Zhengyu Zhang, Chenglong Zhao, Huajun Zhou, Zhenhui Li, Huangjing Lin, Xin Wang, Jiguang Wang, Anjia Han, Ronald Cheong Kin Chan, Li Liang, Xiuming Zhang, Hao Chen*
Nature Communications, 2025
Interpretable and robust multimodal data integration for precise treatment response and survival prediction in gastric cancer
Fengtao Zhou, Yingxue Xu, Yanfen Cui, Shenyan Zhang, Yun Zhu, Weiyang He, Dafu Zhang, Jiguang Wang, Xin Wang, Ronald Cheong Kin Chan, Louis Ho Shing Lau, Chu Han, Zhenhui Li*, Hao Chen*
The Innovation Informatics, 2025
A Generalizable Pathology Foundation Model using A Unified Knowledge Distillation Pretraining Framework
Jiabo Ma, Zhengrui Guo, Fengtao Zhou, Yihui Wang, Yingxue Xu, Jinbang Li, Fang Yan, Yu Cai, Zhengjie Zhu, Cheng Jin, Yi Lin, Xinrui Jiang, Chenglong Zhao, Danyi Li, Anjia Han, Zhenhui Li, Ronald Cheong Kin Chan, Jiguang Wang, Peng Fei, Kwang-Ting Cheng, Shaoting Zhang*, Li Liang*, Hao Chen*
Nature Biomedical Engineering, 2025
GSCo: Towards Generalizable AI in Medicine via Generalist-Specialist Collaboration
Sunan He, Yuxiang Nie, Hongmei Wang, Shu Yang, Yihui Wang, Zhiyuan Cai, Zhixuan Chen, Yingxue Xu, Luyang Luo, Huajun Xiang, Xi Lin, Mingxiang Wu, Yifan Peng, George Shih, Ziyang Xu, Xian Wu, Qiong Wang, Ronald Cheong Kin Chan, Varut Vardhanabhuti, Winnie Chiu Wing Chu, Yefeng Zheng, Pranav Rajpurkar, Kang Zhang, Hao Chen*
Nature Biomedical Engineering, 2025
Preprints
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology
Jiabo Ma^, Yingxue Xu^, Fengtao Zhou^, Yihui Wang, Cheng Jin, Zhengrui Guo, Jianfeng Wu, On Ki Tang, Huajun Zhou, Xi Wang, Luyang Luo, Zhengyu Zhang, Du Cai, Zizhao Gao, Wei Wang, Yueping Liu, Jiankun He, Jing Cui, Zhenhui Li, Jing Zhang, Feng Gao, Xiuming Zhang, Li Liang, Ronald Cheong Kin Chan, Zhe Wang, Hao Chen*
GenAR: Next-Scale Autoregressive Generation for Spatial Gene Expression Prediction
Jiarui Ouyang, Yihui Wang, Yihang Gao, Yingxue Xu, Shu Yang, Hao Chen*
A Multimodal Foundation Model to Enhance Generalizability and Data Efficiency for Pan-cancer Prognosis Prediction
Huajun Zhou, Fengtao Zhou, Jiabo Ma, Yingxue Xu, Xi Wang, Xiuming Zhang, Li Liang, Zhenhui Li, Hao Chen*
A Versatile Pathology Co-pilot via Reasoning Enhanced Multimodal Large Language Model
Zhe Xu, Ziyi Liu, Junlin Hou, Jiabo Ma, Cheng Jin, Yihui Wang, Zhixuan Chen, Zhengyu Zhang, Fuxiang Huang, Zhengrui Guo, Fengtao Zhou, Yingxue Xu, Xi Wang, Ronald Cheong Kin Chan, Li Liang, Hao Chen*
Genomic Touchstone: Benchmarking Genomic Language Models in the Context of the Central Dogma
Yihui Wang, Zhiyuan Cai, Qian Zeng, Yihang Gao, Jiarui Ouyang, Yingxue Xu, Shu Yang, Sunan He, Yuxiang Nie, Yu Cai, Fengtao Zhou, Cheng Jin, Xi Wang, Zhi Xie, Danqing Zhu, Ting Xie, Kwang-Ting Cheng, Can Yang, Xi Fu, Jiguang Wang, Kang Zhang, Jianhua Yao, Raul Rabadan, Hao Chen*
Genome-Anchored Foundation Model Embeddings Improve Molecular Prediction from Histology Images
Cheng Jin, Fengtao Zhou, Yunfang Yu, Jiabo Ma, Yihui Wang, Yingxue Xu, Huajun Zhou, Hao Jiang, Luyang Luo, Luhui Mao, Zifan He, Xiuming Zhang, Jing Zhang, Ronald Chan, Herui Yao, Hao Chen*
Multimodal data integration for precision oncology: Challenges and future directions
Huajun Zhou, Fengtao Zhou, Chenyu Zhao, Yingxue Xu, Luyang Luo, Hao Chen*