About me

I’m a Ph.D Student (2022 Fall) 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

[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, Prompting and Foundation Model Pretraining), Survival Analysis, Optimal Transport and Domain Adaptation/Generalization

(^: Equally Contributed, *: Corresponding Authors)

Preprint

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]

	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]