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I am currently a third year (2020-2024) Ph.D. student in the Department of Electrical Engineering of City University of Hong Kong (CityU), supervised by Prof. Haoliang Li and co-supervised by Prof. Yixuan Yuan.

Previously, I got my B.E. in Electronic Science and Technology from the Zhejiang University(ZJU) in 2020. I had great honor to work with Professor Zhaoyang ZHANG, Chunguang LI and Xiaojing GONG.

In this stage, my research aims to develop novel machine learning algorithms for device-agnostic medical data processing and analysis. My previous focus has been on addressing challenges related to Distribution Shift, Open Set Learning, and Partial Label Learning in order to create effective learning systems. Currently, I am also devoted to low-level vision enhancement in medical images.

News

[09 / 2023] Research Tuition Scholarship of City University of Hong Kong
[07 / 2023] One paper accepted by RSNA 2023
[07 / 2023] One paper accepted by ICCV 2023
[03 / 2023] One paper accepted by CVPR 2023
[03 / 2023] One paper accepted by IEEE TMI
[02 / 2023] Our Universal Model ranks 1st in the MSD Competition
[02 / 2023] One paper accepted by IEEE TPAMI
[09 / 2022] Outstanding Academic Performance Award of City University of Hong Kong
[09 / 2022] Research Tuition Scholarship of City University of Hong Kong
[07 / 2022] One paper accepted by ECCV 2022
[05 / 2022] One paper early accepted by MICCAI 2022 (top 13% submissions)
[03 / 2022] One paper accepted by MedIA
[03 / 2022] One paper accepted by CVPR 2022
[10 / 2021] Two papers accepted by IEEE TMI
[07 / 2021] I passed my PhD Qualify Exam
[07 / 2021] One paper accepted by IROS 2021
[06 / 2021] One paper accepted by EndoCV 2021 in conjunction with ISBI 2021
[05 / 2021] We achieved 1st place for polyp detection and 3rd place for polyp segmentation in the EndoCV 2021 Challenge
[05 / 2021] One paper early accepted by MICCAI 2021 (top 13% submissions)
[06 / 2020] Outstanding Graduates of Zhejiang University
[06 / 2020] Outstanding Diploma Thesis Award