I’m a Ph.D Student (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 Msc. degree in CS, SCUT in 2019 and 2022.

News

Education

Experience

Research Interests

Foundation Models, Computational Pathology, Multimodal Learning (e.g. Fusion, Missing Modality, Pretraining), Survival Analysis, Breast Cancer, Spatial Transcriptomics, Optimal Transport and Domain Adaptation/Generalization

(^: Equally Contributed, *: Corresponding Authors)

Preprint

	GenAR: Next-Scale Autoregressive Generation for Spatial Gene Expression Prediction Jiarui Ouyang^, Yihui Wang^, Yihang Gao, Yingxue Xu, Shu Yang, Hao Chen* [Arxiv], 2025
	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* [Arxiv], 2025
	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* [Arxiv], 2025
	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* [BioRxiv], 2025
	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* [Arxiv], 2025
	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* [Arxiv], [Repo], [Website], 2025
	Multimodal data integration for precision oncology: Challenges and future directions Huajun Zhou, Fengtao Zhou, Chenyu Zhao, Yingxue Xu, Luyang Luo, Hao Chen* [Arxiv], 2024

Selected Publications [Full List]

	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 CK Chan, Louis Ho Shing Lau, Chu Han, Zhenhui Li*, Hao Chen* The Innovation Informatics, 2025 [Arxiv], [Paper].
	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 [Arxiv], [Code], [Weights], [BenchMark], [Demo]
	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 [Arxiv] [Code] [Paper].
	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, Huiling 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 [Arxiv], [Code].
	Distilled Prompt Learning for Incomplete Multimodal Survival Prediction Yingxue Xu, Fengtao Zhou, Chenyu Zhao, Yihui Wang, Can Yang and Hao Chen* CVPR, 2025 [Arxiv], [Paper], [Code].
	Histo-Genomic Knowledge Association For Cancer Prognosis From Histopathology Whole Slide Images Zhikang Wang, Yumeng Zhang,Yingxue Xu, Seiya Imoto, Hao Chen, Jiangning Song IEEE Transactions on Medical Imaging (TMI), 2025 [Paper], [Code].
	HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction Zhengrui Guo, Jiabo Ma, Yingxue Xu, Yihui Wang, Liansheng Wang, Hao Chen* MICCAI, 2024 [Arxiv], [Code].
	Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction Yilan Zhang^, Yingxue Xu^ (Co-first author), Jianqi Chen, Fengying Xie, Hao Chen* ICLR (Spotlight, top-5%), 2024 [Paper], [Arxiv], [Code].
	Multimodal Optimal Transport-based Co-Attention Transformer with Global Structure Consistency for Survival Prediction Yingxue Xu, Hao Chen* ICCV, 2023 [Paper], [ArXiv], [Code].
	Modeling Hierarchical Structural Distance for Unsupervised Domain Adaptation Yingxue Xu, Guihua Wen, Yang Hu, Pei Yang* IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024 [Paper], [Arxiv]
	Task-Coupling Elastic Learning for Physical Sign-based Medical Image Classification (Perspective Featured Article) Yingxue Xu, Guihua Wen*, Pei Yang, Baochao Fan, Yang Hu, Mingnan Luo, Changjun Wang IEEE Journal of Biomedical and Health Informatics, 2021 [Paper]
	Multiple Attentional Pyramid Networks for Chinese Herbal Recognition Yingxue Xu, Guihua Wen*, Yang Hu, Mingnan Luo, Dan Dai, Yishan Zhuang, Wendy Hall, Pattern Recognition, 2020 [Paper]

Academic Services

Regular Reviewers:

Conference

• International Conference on Computer Vision (ICCV’25)
• International Conference on Machine Learning (ICML’25)
• Computer Vision and Pattern Recognition (CVPR’25)
• International Conference on Artificial Intelligence and Statistics (AISTATS’25)
• International Conference on Learning Representations (ICLR’25)
• Neural Information Processing Systems (NeurIPS’24)
• ACM Multimedia (MM’24,25)
• International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI’25)

Journal

• IEEE Transactions on Medical Imaging (TMI)
• IEEE Transactions on Image Processing (TIP)
• IEEE Transactions on Fuzzy Systems (TFS)
• IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
• Medical Image Analysis (MedIA)
• Pattern Recognition (PR)
• Computerized Medical Imaging and Graphics (CMIG)

Teaching

Course

Advised Mentee

• Yilan Zhang (05/2023 - 01/2024, M.S. in Beihang University -> Ph.D in KAUST)
• Yihui Wang (06/2023 - present, Ph.D in HKUST)
• Chenyu Zhao (08/2023 - present, MPhil in HKUST)
• KWOK Sze Heng Douglas (01/2023 - 08/2023, UG in HKUST)