Zhe (Jack) Xu

Ph.D. Student

ERB 1107
Dept. of Biomedical Engineering
The Chinese University of Hong Kong
Hong Kong, China

Email: x.zsun180@foxmail.com


I am a year-1 Ph.D. student at The Chinese University of Hong Kong, under the supervision of Prof. Raymond Tong, supported by Hong Kong PhD Fellowship (HKPFS). Before that, I obtained my M.S. in Computer Science at Tsinghua University in 2021, supervised by Prof. Xiu Li. I received B.Eng in Electronic Engineering and B.Sc in Management with top rank from UESTC in 2018. During my master period, I was also a research associate at SPL Lab, Brigham and Women's Hospital, Harvard Medical School (2019-2021), fortunately working closely with Prof. Jayender Jagadeesan, Prof. Sandy Wells and Dr. Jie Luo. I am also a research intern at Tencent Healthcare Jarvis Lab, working closely with Dr. Yefeng Zheng (FIEEE) and Dr. Donghuan Lu.

My research interest lies at the intersection of artificial intelligence and medical image analysis, with recent focuses on annotation-efficient learning (semi-/weakly-/self-/few-shot), learning with noisy labels, domain/model generalization and interpretability for various practices such as registration, segmentation and reconstruction. Explicit, simple, yet effective (also efficient) methods are appreciative.

Work Smart, Play Hard: I enjoy traveling (15+ countries experience [Vlogs]), SCUBA diving (PADI AOW), surfing, badminton, basketball (Fan of LBJ), cocktail, photography and saxophone.


Selected Publications | Google Scholar


All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation

Zhe Xu, Yixin Wang, Donghuan Lu, Lequan Yu, Jiangpeng Yan, Jie Luo, Kai Ma, Yefeng Zheng, Raymond Kai-yu Tong

Technical Report, 2021. [paper]

Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation

Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Jayender Jagadeesan, Kai Ma, Yefeng Zheng, Xiu Li

Medical Image Computing and Computer Assisted Interventions (MICCAI), 2021.

(early accept)

[paper] [code][Selected as part of tutorial for MLMI camp at TUM]

Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation

Jiangpeng Yan, Hanbo Chen, Kang Wang, Yan Ji, Yuyao Zhu, Jingjing Li, Dong Xie, Zhe Xu, Junzhou Huang, Shuqun Cheng, Xiu Li, Jianhua Yao.

Medical Image Computing and Computer Assisted Interventions (MICCAI), 2021.

(early accept)


Adversarial Uni-and Multi-modal Stream Networks for Multimodal Image Registration

Zhe Xu, Jie Luo, Jiangpeng Yan, Ritvik Pulya, Xiu Li, William Wells III, Jayender Jagadeesan.

Medical Image Computing and Computer Assisted Interventions (MICCAI), 2020.


[paper] [Interesting Follow-up: DualChannel(MedIA)@JHU, DDMReg@Harvard]

Double-Uncertainty Assisted Spatial and Temporal Regularization Weighting for Learning-based Registration

Zhe Xu, Jie Luo, Donghuan Lu, Jiangpeng Yan, Jayender Jagadeesan, William Wells III, Sarah Frisken, Kai Ma, Yefeng Zheng, Raymond Kai-yu Tong

Technical Report, 2021. [paper]

Unsupervised Multimodal Image Registration with Adaptative Gradient Guidance

Zhe Xu, Jiangpeng Yan, Jie Luo, Xiu Li, Jayender Jagadeesan.

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021. [paper]

Unimodal Cyclic Regularization For Training Multimodal Image Registration Networks

Zhe Xu, Jiangpeng Yan, Jie Luo, William Wells, Xiu Li, Jayender Jagadeesan.

IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021.



F3RNet: full-resolution residual registration network for deformable image registration

Zhe Xu, Jie Luo, Jiangpeng Yan, Xiu Li, Jagadeesan Jayender.

International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2021. [paper]

A Survey on Deep Learning-based Medical Image Registration (in Chinese)

Lufan Ma, Feng Luo, Jiangpeng Yan, Zhe Xu, Jie Luo, Xiu Li.

中国图象图形学报 (Journal of Image and Graphics), 2021. [paper]

Towards Better Dermoscopic Image Feature Representation Learning for Melanoma Classification

Chenghui Yu, Mingkang Tang, Shengge Yang, Mingqing Wang, Zhe Xu, Jiangpeng Yan, Hanmo Chen, Yu Yang, Xiao-Jun Zeng and Xiu Li

International Conference on Neural Information Processing (ICONIP), 2021.



Honors & Awards

2021-2024, Hong Kong PhD Fellowship (HKPFS) & CUHK Vice-Chancellor’s Scholarship
2021, Outstanding Graduate of Beijing
2016/2020, China National Scholarship (for undergraduate / postgraduate)
2019, Gold Prize of Guangdong-HK-Macao Greater Bay Area College Social Entrepreneurship Challenge
2018, Outstanding Graduate of UESTC
2017, Silver Award in National Entrepreneurship Competition for college students
2016, First Prize of CUMCM / APMCM

Professional Services


2021-2022SpringBig Data in Healthcare (BMEG 3103)

© Jack Xu