Emma, Shujun Wang
Assistant Professor
Department of Biomedical Engineering and Sports Technology
Affiliated Member, Department of Data Science and Artificial Intelligence
The Hong Kong Polytechnic University
Research Institute for Smart Ageing / Research Institute for Artificial Intelligence of Things / Research Institute for Sports Science and Technology / Mental Health Research Centre
Office: Room ST421a
Email: shu-jun.wang@polyu.edu.hk
Biography
I have been an Assistant Professor in the Department of Biomedical Engineering and Sports Technology (formerly the Department of Biomedical Engineering) at The Hong Kong Polytechnic University since April 2023. I have also been an affiliated member of the Department of Data Science and Artificial Intelligence since January 2026. Previously, I was a Research Associate at the University of Cambridge (May 2022–March 2023) and a Postdoctoral Researcher at The Chinese University of Hong Kong (September 2021–April 2022).
I received my Ph.D. (2021) from the Department of Computer Science and Engineering, The Chinese University of Hong Kong, supervised by Prof. Pheng-Ann Heng and Prof. Chi-Wing Fu. I received my B.Eng. (2017) in Computer Science and Engineering from the Honors College at Northwestern Polytechnical University.
Research Focus: AI for Science
- Proteomics Generation and Understanding: Developing deep learning methods for peptide sequence prediction and generation, advancing intelligent solutions in fundamental biology and drug design.
- Medical Artificial Intelligence: Designing AI algorithms for disease diagnosis and treatment decision-making, with a focus on key technologies such as medical image analysis and semantic understanding.
- Multimodal Data Fusion and Personalized Prognosis Prediction: Integrating medical imaging, clinical records, and omics data to build individualized disease progression models and risk prediction frameworks.
- Medical Time Series Modeling: Exploring dynamic modeling and prediction techniques for electronic health records (EHRs) and vital sign sequences, aiming to enhance the intelligence of clinical monitoring systems.
Recent News
I am looking for self-motivated Ph.D. students (with scholarships), interns, and research assistants. Please feel free to email me. GPA conversion tools and information on PolyU postgraduate fellowships and scholarships are available online.
-
Awarded World's Top 2% Scientists
-
Our paper Think Before You Move: Latent Motion Reasoning for Text-to-Motion Generation has been accepted to IEEE TPAMI. Congratulations to Yijie Qian and Juncheng Wang!
-
Three papers have been accepted to NeurIPS 2026: Congratulations to Yue Xun, Guoqi Yu, and Huihan Wang!
-
Our paper JMedEthicBench: A Multi-Turn Adversarial Benchmark for Japanese Medical Ethics Alignment in LLMs has been accepted to COLM 2026.
-
Our paper MammoDG: Generalisable Deep Learning Advances Cross-Domain Multi-Center Breast Cancer Screening has been accepted to IJCV. Congratulations to Yijun Yang!
-
Our paper Taming Arbitrary Modality Missingness and Imbalance: A Unified Graph-MoE Framework for Alzheimer’s Disease Diagnosis (UniMIX-AD) has been accepted to Medical Image Analysis. Congratulations to Guangqian Yang!
-
Our paper DenseControl: Instance-Level Controllable Synthesis of Dense Crowd Image has been accepted to IEEE TMM. Congratulations to Juncheng Wang!
-
Two papers have been accepted to ECCV 2026: Congratulations to Yijie Qian, Yuxiang Feng, and Juncheng Wang!
-
Three papers have been accepted to MICCAI 2026, including two oral presentations: Congratulations to Guangqian Yang, Wangding Xia, and Ye Du!
-
Awarded Microsoft Research Asia StarTrack Scholars.
-
One paper got accepted to IEEE TMI entitled "Moving Beyond Functional Connectivity: Time-Series Modeling for fMRI-Based Brain Disorder Classification" . Big congrats to Guoqi Yu.
-
Invited to be the Area Chair in MICCAI 2026.
-
Two papers have been accepted to ICLR 2026: Congratulations to Guoqi Yu and Yihang Chen!
-
One paper got accepted to EACL entitled "Guided by the Plan: Enhancing Faithful Autoregressive Text-to-Audio Generation with Guided Decoding". Big congrats to Juncheng Wang.
-
2026
Our paper MF2MR2: Multi-frequency Fusion for Accelerated Multi-contrast MRI Reconstruction has been published in Expert Systems with Applications.
-
2026
Our paper MorphoNet: Morphological Sub-region-based Structure Learning for WSI Analysis has been published in Medical Image Analysis.
-
2026
Our paper Predicting Diabetic Macular Edema Treatment Responses Using OCT: Dataset and Methods of APTOS Competition has been published in Medical Image Analysis.
-
One paper got accepted to Nature Communications entitled "Knowledge-Guided Adaptation of Pathology Foundation Models Effectively Improves Cross-domain Generalization and Demographic Fairness". Big congrats to Yanyan Huang.
-
One paper got accepted to NeurIPS entitled "AOR: Anatomical Ontology-Guided Reasoning for Medical Large Multimodal Model in Chest X-Ray Interpretation". Big congrats to Qingqiu.
-
One paper got BEST PAPER award at Agentic AI for Medicine (MICCAI 2025 workshop) entitled "ADAgent: LLM Agent for Alzheimer’s Disease Analysis with Collaborative Coordinator" . Big congrats to Wenlong.
-
One paper got accepted to IJCV entitled "Exploring Scale Shift in Crowd Localization under the Context of Domain Generalization". Big congrats to Juncheng Wang.
-
One paper got accepted to EMNLP as ORAL presentation entitled "Language Model Based Text-to-Audio Generation: Anti-Causally Aligned Collaborative Residual Transformers". Big congrats to Juncheng Wang.
-
One paper got accepted to IEEE Transactions on Medical Imaging entitled "Medical Knowledge Intervention Prompt Tuning for Medical Image Classification". Big congrats to Ye Du.
-
One paper got accepted to IEEE Journal of Biomedical and Health Informatics entitled "ADFound: A Foundation Model for Diagnosis and Prognosis of Alzheimer's Disease". Big congrats to Guangqian.
-
Two papers got accepted to CVPR, Neurocomputing. Big congrats to Juncheng. One paper got accepted by ICML. Big congrats to Ye. One paper got early accepted by MICCAI. Big congrats to Yue.
-
One paper got accepted to IEEE Transactions on Medical Robotics and Bionics entitled "Toward Lung Ultrasound Automation: Fully Autonomous Robotic Longitudinal and Transverse Scans Along Intercostal Spaces". Big congrats to Long Lei.
-
Invited to be the Area Chair in MICCAI 2025.
-
One paper got accepted to ACM MM entitled "TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios". Big congrats to Lihao.
-
One paper got accepted to MICCAI 2024 entitled "Anatomical Structure-Guided Medical Vision-Language Pre-training". Big congrats to Qingqiu.
-
One paper got accepted to ICML 2024 entitled "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).
-
Awarded the RISA Seed Funding!
-
Our tutorial on GraphMIA: Graph Learning in Medical Image Analysis has been accepted @MICCAI 2024! Welcome to say hi in Morocco!
-
One paper got accepted to International Workshop on Trustworthy Machine Learning for Healthcare titled "Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition Through the Lens of Robustness".
-
One paper got accepted to ICCV 2023 titled "ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis".
-
I joined PolyU as an Assistant Professor in Department of Biomedical Engineering. A new journey started!
-
Our paper was accepted to AAAI 2023 titled "MulGT: Multi-task Graph-Transformer with Task-aware Knowledge Injection and Domain Knowledge-driven Pooling for Whole Slide Image Analysis".
-
Our CMMCA workshop paper got the Best Paper Awards titled "Multitask Learning-driven Volume and Slice Level Contrastive Learning for 3D Medical Image Classification".
-
One paper is accepted to NeurIPS 2022 titled Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning.
-
One paper is accepted to 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 ".
-
I join University of Cambridge as a Research Associate and work with Carola-Bibiane Schönlieb, Zoe Kourtzi, and Angelica.
-
Served as a meta-reviewer in MIUA conference.
-
I am helping to co-organize the WiMIUA workshop. You are welcome to submit your abstract.
-
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!
-
I have passed oral defence and became a PhD.
Group Members
Ph.D. Students
- Sheng Liu (2026.09–)
- Ruoxuan Zhang (2026.09–): AIVC
- Huihan Wang (2026.09–): Generative AI, AI-driven Drug Discovery
- Wenlong Hou [PRPgS] (2025.09–): Agentic AI, Reinforcement Learning, Dementia
- Guoqi Yu [PRPgS] (2024.09–): Medical Time Series Analysis
- Yue Xun [PRPgS] (2024.09–): Brain Disorder Analysis, Foundation Models
- Nanxi Yu [PRPgS] (2024.05–): Continual Learning, Domain Incremental Learning
- Juncheng Wang [PRPgS] (2024.01–): Generative AI, World Models
- Ye Du [PPPFS] (2024.01–): Proteomics, Virtual Cell
- Guangqian Yang [PRPgS] (2023.09–): Multimodal Learning, Foundation Models
Research Assistants
- Shaoyang Zhang (2026.08–): Agentic AI, AI for Science
M.Sc. Students
- Fangjia Luo (2025.09–2026.08): AIVC
- Hanyang Du (2025.09–): AIVC
- Xiaohan Shi (2025.09–): AI for Sports Science
URIS Students
- Tsz Wai (Milly) Wong (2026–2028): 4D TEE Analysis
- Wangding Xia (2025–2027): Rare Disease, Retrieval-Augmented Generation
- Zhifei Wang (2025–2027): RNA Modification
Past Research Interns and Assistants
- Yijun Yang, research intern
- Jiayuan Zhu, research intern
- Qingqiu Li, intern (2023.07–2024)
- Chen Yang, research assistant (2024.09–2025.07)
- Kuan Feng, summer intern (2024.05–2024.09)
- Zhihan Yang, summer intern (2023)
- Kangrui Du, summer intern (2023)
- Lingrui Li, summer intern (2023)
Past URIS and Capstone Students
- Xuyi Wei, URIS (2024–2026)
- Houhe Liu, URIS (2024–2026)
- KIANG Hoi Man, Candy, Capstone (2025–2026)
- JING Cheung, John, Capstone (2025–2026)
- Yibei Zhang, Capstone (2024–2025)
- Yeung Lau, Capstone (2024–2025)
Previous roles of current Ph.D. students
- Wenlong Hou, research assistant (2025.02–2025.08)
- Nanxi Yu, research assistant (2024.03–2024.05)
- Guoqi Yu, intern (2023.07–2024)
Publications
Teaching Experiences
Teaching at PolyU
- BME5350 Artificial Intelligence and Data Analysis for Sports, Spring 2026
- BME44144 AIDA for Biosignal Processing and Medical Imaging, Fall 2024, 2025
- BME34145 AIDA for Health Care and Smart Ageing, Fall 2023–2026
Guest Lectures at PolyU
- BME1D01 Bionic Human and the Future of Being Human, Fall 2024
- BME5051 Molecular and Functional Imaging: From Body System to Molecules, Spring 2024, 2025
- BME5111 Wearable Technology for Digital Health, Fall 2023, 2024
- BME6000 Advanced Topics in Biomedical Engineering, Spring 2025, 2026
Teaching Assistant at CUHK
- 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
- 广州人工智能公共算力中心专家委员会专家委员, 2024–2027
- Workshop Co-organizer: GraphMedIA: Graph Learning in Medical Image Analysis, MICCAI 2023–2026; Artificial Intelligence for Healthcare: From Multimodal Data to Clinical Impact, special session at IEEE IVMSP 2026.
- Conference Co-organizer: ISBI 2026; WiMIUA 2022.
- Guest Editor: Frontiers in Medicine – Ophthalmology.
- Area Chair: MICCAI 2025, 2026. Meta-reviewer: MIUA 2022.
- Journal Reviews: Nature Machine Intelligence; npj Digital Medicine; IEEE Transactions on Medical Imaging; IEEE Transactions on Biomedical Engineering; IEEE Journal of Biomedical and Health Informatics; IEEE Transactions on Emerging Topics in Computational Intelligence; Medical Image Analysis; Pattern Recognition; Bioinformatics; ACM Transactions on Multimedia Computing, Communications, and Applications; Computerized Medical Imaging and Graphics; AJO International; Hong Kong Physiotherapy Journal; International Journal of Computer Vision; IEEE Transactions on Neural Networks and Learning Systems; IEEE Transactions on Image Processing; IEEE Access; Artificial Intelligence in Medicine.
- Conference Reviews: CVPR, ICCV, ECCV, NeurIPS, ICML, AAAI, ACM MM, WACV, MICCAI, MIUA.
Academic Genealogy
