Emma, Shujun Wang Assistant Professor Department of Biomedical Engineering, The Hong Kong Polytechnic University Research Institute for Smart Ageing & Research Institute for Artificial Intelligence of Things Office: Room ST421a Email: shu-jun.wang at polyu dot edu dot hk

Biography

• 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

• Pin on the Top I am looking for self-motivated PostDocs/PhD students (2025 fall)/Interns/Research Assistants. Please feel free to drop me an email. Detailed descriptions can be downloaded here. 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/
• Jun. 2024 One paper got accepted by MICCAI 2024 entitleted "Anatomical Structure-Guided Medical Vision-Language Pre-training". Big congrats to Qingqiu.
• May. 2024 One paper got accepted by ICML 2024 entitleted "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling". Big congrats to Guoqi as the first author (he is currently a final year undergraduate student).
• Apr. 2024 Awarded the RISA Seed Funding!
• Mar. 2024 Our tutorial on GraphMIA: Graph Learning in Medical Image Analysis has been accepted @MICCAI 2024! Welcome to say hi in Morocco!
• Jul. 2023 One paper got accepted by International Workshop on Trustworthy Machine Learning for Healthcare titled "Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition Through the Lens of Robustness".
• Jul. 2023 One paper got accepted by ICCV 2023 titled "ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis".
• Apr. 2023 I joined PolyU as an Assistant Professor in Department of Biomedical Engineering. A new journey started!
• Nov. 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".
• Sep. 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".
• Sep. 2022 One paper is accepted by NeurIPS 2022 titled Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning.
• Aug. 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 ".
• May. 2022 I join University of Cambridge as a Research Associate and work with Carola-Bibiane Schönlieb, Zoe Kourtzi, and Angelica.
• May. 2022 Server as a Meta-review in MIUA conference.
• Feb. 2022 I am helping to co-organize the WiMIUA workshop. You are welcome to submit your abstract.
• Sep. 2021 I have worked as a Postdoc in CUHK in the Group of Prof. Pheng-Ann Heng. My USA VISA was rejected....so sad. Missing a chance to Standford University!
• Jun. 2021 I have passed oral defence and became a PhD.

Group Members

Ph.D. Students
• Guoqi Yu [PRPgS] (2024.09-)
• 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 (2023.07-2024)
• Guoqi Yu, intern (2023.07-2024)
• Zhihan Yang, summer intern (2023)
• Kangrui Du, summer intern (2023)
• Lingrui Li, summer intern (2023)

Publications

Please refer to my Google Scholar webpage: https://scholar.google.com/citations?user=WFELH6IAAAAJ&hl=en.
Scopus: https://www.scopus.com/authid/detail.uri?authorId=57210892697#.
ORCID: https://orcid.org/0000-0003-1495-3278.

Teaching Experiences

• BME44144 AIDA for Biosignal Processing and Medical Imaging, Fall 2024
• BME34145 AIDA for Healthcare and Smart Ageing, Fall 2023, 2024
• CENG 2010 Digital Logic Design Laboratory, Spring 2019
• ENGG 1110 Problem Solving by Programming, Spring 2018
• ENGG 2020 Digital Logic and Systems, Fall 2017, 2018, 2019

Professional Activities

• Conference Co-organizer
  WiMIUA 2022
• Area Chair
  MIUA 2022
• Journal Reviews
  International Journal of Computer Vision
  IEEE Transactions on Neural Networks and Learning Systems
  IEEE Transactions on Medical Imaging
  Medical Imaging Analysis
  IEEE Journal of Biomedical and Health Informatics
  IEEE Transactions on Image Processing
  Artificial Intelligence in Medicine
  IEEE Access
• Conference Reviews
  CVPR, MICCAI, ECCV, ICCV, AAAI, NeurPS, MIUA