About me

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

  • [03/2025] Thrilled to release the weights and code for mSTAR. The manuscript is updated and results are released at our PathBench.
  • [02/2025] One paper was accepted by CVPR 2025.
  • [01/2025] One paper (co-author) was accepted by IEEE Transactions on Medical Imaging (TMI).
  • [07/2024] Thrilled to announce our latest work mSTAR, a multimodal-enhanced whole slide pathology foundation model.
  • [06/2024] One paper (co-author) was accepted by MICCAI 2024.
  • [04/2024] One paper was accepted by TCSVT.
  • [01/2024] One paper was accepted by ICLR 2024 as Spotlight paper!!
  • [07/2023] One paper was accepted by ICCV 2023!!
  • [08/2022] I start Ph.D at SMARTLab@HKUST on 2022 Fall.
  • [06/2022] I received my master degree at SCUT.
  • [06/2021] I start internship at Tencent AI Lab.
  • [12/2020] I'm honored with National Scholarship.

Education

08/2022 - present    HKUST, Hong Kong, China
PhD in Computer Science and Engineering
09/2019 - 06/2022    South China University of Technology, Guangzhou, China
Master in Computer Science and Technology
09/2015 - 06/2019    South China University of Technology, Guangzhou, China
Bachelor in Computer Science and Technology

Experience

06/2021 - 09/2021    Tencent AI Lab, Shenzhen, China
Intern researcher on Computer Vision, Computational Cervical Cytology

Research Interests

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


(^: Equally Contributed, *: Corresponding Authors)

Preprint

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*
[Arxiv], [Code], [Weights], [BenchMark], 2024

Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation
Jiabo Ma^, Zhengrui Guo^, Fengtao Zhou, Yihui Wang, Yingxue Xu, Yu Cai, Zhengjie Zhu, Cheng Jin, Yi Lin, Xinrui Jiang, Anjia Han, Li Liang, Ronald Cheong Kin Chan, Jiguang Wang, Kwang-Ting Cheng, Hao Chen*
[Arxiv], 2024

iMD4GC: Incomplete Multimodal Data Integration to Advance Precise Treatment Response Prediction and Survival Analysis for Gastric Cancer
Fengtao Zhou, Yingxue Xu, Yanfen Cui, Shenyan Zhang, Yun Zhu, Weiyang He, Jiguang Wang, Xin Wang, Ronald Chan, Louis Ho Shing Lau, Chu Han, Dafu Zhang, Zhenhui Li, Hao Chen*
[Arxiv], 2024

Selected Publications [Full List]

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

2024 Fall, 2023 SpringTACOMP2011 - Programming with C++
2023 FallTACOMP1021 - Introduction to Computer Science

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)