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Shujun WangAssistant ProfessorDepartment of Biomedical Engineering The Hong Kong Polytechnic University Office: Room ST421c Email: shu-jun.wang at polyu dot edu dot hk |
Biography
- I am looking for self-motivated PhD students for Year 2024. Please feel free to drop me an email with your CV and GPA (>3.2). 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.
Recent News
- [11/2022] Our paper was accepted by AAAI 2023 titled "MulGT: Multi-task Graph-Transformer with Task-aware Knowledge Injection and Domain Knowledge-driven Pooling for Whole Slide Image Analysis".
- [09/2022] Our CMMCA workshop paper got the Best Paper Awards titled "Multitask Learning-driven Volume and Slice Level Contrastive Learning for 3D Medical Image Classification".
- [09/2022] One paper is accepted by NeurIPS 2022 titled Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning.
- [08/2022] One paper is accepted by THE LANCET Digital Health (IF: 36.615) titled "A deep learning model for detection of Alzheimer's disease based on retinal photographs: a retrospective, multicentre study ".
- [05/2022] I join University of Cambridge as a Research Associate and work with Carola-Bibiane Schönlieb, Zoe Kourtzi , and Angelica.
- [05/2022] Server as a Meta-review in MIUA conference.
- [02/2022] I am helping to co-organize the WiMIUA workshop. You are welcome to submit your abstract.
- [09/2021] I have worked as a Postdoc in CUHK in the Group of Prof. Pheng-Ann Heng.
Publications

TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation.
Zhongying Deng, Yanqi Chen, Lihao Liu, Shujun Wang, Rihuan Ke, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero.
Submitted to ICCV23 .
PDF
Zhongying Deng, Yanqi Chen, Lihao Liu, Shujun Wang, Rihuan Ke, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero.
Submitted to ICCV23 .

HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation.
Yijun Yang, Shujun Wang*, Lei Zhu, Lequan Yu
Submitted to AIIM 23 .
PDF
Yijun Yang, Shujun Wang*, Lei Zhu, Lequan Yu
Submitted to AIIM 23 .

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
Weiqin Zhao, Shujun Wang, Maximus Yeung, Tianye Niu, Lequan Yu.
AAAI 2023 .

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
Carol Y Cheung*, An Ran Ran*, Shujun Wang*, Victor TT Chan, Kaiser Sham, ...
The Lancet Digital Health 2022 . * means Co-first authors.

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

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
Jiayuan Zhu, Shujun Wang*, Jinzheng He, Carola-Bibiane Schönlieb, Lequan Yu
MICCAIW 2022 .

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
Kang Li, Shujun Wang, Lequan Yu, Pheng Ann Heng
IEEE Transactions on Medical Imaging 2020 .

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
Shujun Wang, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu, and Pheng-Ann Heng.
IEEE Transactions on Medical Imaging (TMI), 2020.


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
Kang Li, Shujun Wang, Lequan Yu, Pheng-Ann Heng.
MICCAI , 2020.

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
Kang Li, Lequan Yu, Shujun Wang, Pheng-Ann Heng.
AAAI Conference on Artificial Intelligence (AAAI), 2020.

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
José Ignacio Orlando, Huazhu Fu,..., Shujun Wang, ..., .
Medical Image Analysis (MedIA), 2019.

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
Shujun Wang, Yaxi Zhu, Lequan Yu, Hao Chen, Huangjing Lin, Xiangbo Wan, Xinjuan Fan, and Pheng-Ann Heng.
Medical Image Analysis (MedIA), 2019.


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
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]


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
Kang Li, Lequan Yu, Shujun Wang, Pheng-Ann Heng.
Simulation and Synthesis in Medical Imaging Workshop in MICCAI, 2019. [Oral presentation]

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