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

[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 under the supervison of Dr. De Cai and Xiao Han.
[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

Multimodal Learning (e.g. Fusion, Missing Modality, Pretraining), Computational Pathology, Survival Analysis, 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, Shu Yang, Huangjing Lin, Xin Wang, Jiguang Wang, Li Liang, Anjia Han, Ronald Cheong Kin Chan, Hao Chen* [Arxiv], 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]

	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]