Shujun Wang

Assistant Professor
Smart Digital Health Lab
Department of Biomedical Engineering
The Hong Kong Polytechnic University
Office: Room ST421a
Email: shu-jun.wang at polyu dot edu dot hk

Biography

I am looking for self-motivated PhD students/Intern/Research Assistant for longitudinal multi-modal data analysis and modeling. Please feel free to drop me an email with your CV and GPA (>3.5). Bachelor university should be top 500 + National Scholarship (China applicants). Email subject: PhD application - {Your BEng School Name} - {Your Name}. GPA conversion tools can be downloaded here.
More information about the scholarship for your postgraduate study in PolyU: https://www.polyu.edu.hk/en/gs/prospective-students/fellowship-scholarship-schemes/
I am an Assistant Professor in BME of The Hong Kong Polytechnic University. Before that I was a Research Associate in University of Cambridge and Postdoctoral Researcher in the University of Hong Kong. I have completed my PhD study at the Department of Computer Science and Engineering, The Chinese University of Hong Kong, supervised by Prof. Pheng-Ann Heng and Prof. Chi-Wing Fu. Previously, I received the B. Eng degree from Honors College in Northwestern Polytechnical University.
My research interests include Deep Learning for Medical Image Analysis, specificlly in multimodaly learning and generalization learning.

Group Members

Ph.D. Students

Yue Xun [PRPgS] (2024.09-)
Nanxi Yu [PRPgS] (2024.05-)
Ye Du [PPPFS] (2024.01-)
Juncheng Wang [PRPgS] (2024.01-)
Guangqian Yang [PRPgS] (2023.09-)

Research assistants, summer interns, and student helpers

Chen Yang, research assistant (2024.09-)
Kuan Feng, summer intern (2024.05-)
Nanxi Yu, research assistant (2024.03-2024.05) (Join our lab soon as a Ph.D.)
Qingqiu Li, intern (2023.07-)
Guoqi Yu, intern (2023.07-)
Zhihan Yang, summer intern (2023)
Kangrui Du, summer intern (2023)
Lingrui Li, summer intern (2023)

Publications

MulGT: Multi-task Graph-Transformer with Task-aware Knowledge Injection and Domain Knowledge-driven Pooling for Whole Slide Image Analysis.
Weiqin Zhao, Shujun Wang, Maximus Yeung, Tianye Niu, Lequan Yu.
AAAI 2023 .
PDF

A deep learning model for detection of Alzheimer's disease based on retinal photographs: a retrospective, multicentre case-control study.
Carol Y Cheung*, An Ran Ran*, Shujun Wang*, Victor TT Chan, Kaiser Sham, ...
The Lancet Digital Health 2022 . * means Co-first authors.
PDF

Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning.
Fuying Wang, Yuyin Zhou, Shujun Wang, Varut Vardhanabhuti, Lequan Yu.
NeurIPS 2022 .
PDF

Multi-task Learning-Driven Volume and Slice Level Contrastive Learning for 3D Medical Image Classification.
Jiayuan Zhu, Shujun Wang*, Jinzheng He, Carola-Bibiane Schönlieb, Lequan Yu
MICCAIW 2022 .
PDF

Dual-teacher++: Exploiting intra-domain and inter-domain knowledge with reliable transfer for cardiac segmentation.
Kang Li, Shujun Wang, Lequan Yu, Pheng Ann Heng
IEEE Transactions on Medical Imaging 2020 .
PDF

DoFE: Domain-Oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets.
Shujun Wang, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu, and Pheng-Ann Heng.
IEEE Transactions on Medical Imaging (TMI), 2020.
PDF

Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization.
Shujun Wang, Lequan Yu, Caizi Li, Chi-Wing Fu, and Pheng-Ann Heng.
ECCV, 2020.
PDF CODE

Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-efficient Cardiac Segmentation.
Kang Li, Shujun Wang, Lequan Yu, Pheng-Ann Heng.
MICCAI , 2020.
PDF

Towards Cross-modality Medical Image Segmentation with Online Mutual Knowledge Distillation.
Kang Li, Lequan Yu, Shujun Wang, Pheng-Ann Heng.
AAAI Conference on Artificial Intelligence (AAAI), 2020.
PDF

REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs.
José Ignacio Orlando, Huazhu Fu,..., Shujun Wang, ..., .
Medical Image Analysis (MedIA), 2019.
PDF

RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification.
Shujun Wang, Yaxi Zhu, Lequan Yu, Hao Chen, Huangjing Lin, Xiangbo Wan, Xinjuan Fan, and Pheng-Ann Heng.
Medical Image Analysis (MedIA), 2019.
PDF

Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation.
Shujun Wang, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu, and Pheng-Ann Heng.
MICCAI, 2019.
PDF CODE

Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound.
Haoran Dou*, Xin Yang*, Jikuan Qian, Wufeng Xue, Hao Qin, Xu Wang, Lequan Yu, Shujun Wang, Yi Xiong, Pheng-Ann Heng, and Dong Ni
MICCAI, 2019. [Oral presentation]
PDF

Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation.
Lequan Yu, Shujun Wang, Xiaomeng Li, Chi-Wing Fu, and Pheng-Ann Heng.
MICCAI, 2019.
PDF CODE

Unsupervised Retina Image Synthesis via Disentangled Representation Learning.
Kang Li, Lequan Yu, Shujun Wang, Pheng-Ann Heng.
Simulation and Synthesis in Medical Imaging Workshop in MICCAI, 2019. [Oral presentation]
PDF

Patch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation.
Shujun Wang, Lequan Yu, Xin Yang, Chi-Wing Fu, and Pheng-Ann Heng.
IEEE Transactions on Medical Imaging (TMI), 2019.
PDF PROJECT

Challenges

[2019] Second place, Detection and segmentation of optic disc (PALM challenge in ISBI 19)
[2018] Champion, Optic Disc & Cup Segmentation (REFUGE challenge in MICCAI 18)
[2015] Champion, International Underwater Robot Competition
[2015] Second Prize, Circuit Fundamental Contest of NPU
[2014] Champion, Chinese Robot Competition

Honors & Awards

Outstanding Graduates of Northwestern Polytechnical University, 2017
National Scholarship in China, 2015
Excellent Student Awards (only 2 students selected form the Honors College), 2015
The ChinaNational Aero-Technology Import & Export Corporation Special Scholarship (only 10 students selected from the NPU), 2016
First-class Scholarship for Outstanding Students, 2014 & 2016

Teaching Experiences

ENGG 2020 Digital Logic and Systems, Fall 2019
CENG 2010 Digital Logic Design Laboratory, Spring 2019
ENGG 2020 Digital Logic and Systems, Fall 2018
ENGG 1110 Problem Solving by Programming, Spring 2018
ENGG 2020 Digital Logic and Systems, Fall 2017

Professional Activities

Conference Co-organizer
WiMIUA 2022
Journal Reviews
International Journal of Computer Vision
IEEE Transactions on Neural Networks and Learning Systems
IEEE Transactions on Medical Imaging
IEEE Journal of Biomedical and Health Informatics
Artificial Intelligence in Medicine
IEEE Access
Conference Reviews
MICCAI
AAAI
ICCV
CVPR MIUA