Han Wu

Han Wu 吴瀚

5th-year Ph.D. Student· ShanghaiTech University · Advised by Prof. Dinggang Shen

About

I am a Ph.D. student in Computer Science at the School of Biomedical Engineering, ShanghaiTech University, advised by Prof. Dinggang Shen. I earned my B.Eng. from Wuhan University of Technology in 2022.

My research focuses on multimodal large language models (MLLMs) for medical image analysis and reasoning. Since June 2025, I have been a research intern at United Imaging Intelligence (UII), where I work with Dr. Dijia Wu and Dr. Xi Ouyang on MLLMs and contribute to the YuanZhi Foundation Model.

Beyond my main research focus, I'm also interested in a wide range of topics, including digital dentistry, cardiovascular disease, and EEG analysis, where I've worked on projects myself, supervised junior graduate students, or collaborated with others.

Research Interests

Routine clinical care produces images, reports, and signals at scale, while expert annotations stay scarce and costly. My work runs along two lines that start from opposite sides of that gap:

Multimodal LLMs & Foundation Models
Medical image analysis and reasoning through vision-language pretraining and MLLM post-training, alongside self-supervised pretraining of foundation models on large-scale unlabeled clinical data.
Label-Efficient Learning
Segmentation and landmark detection with limited, weak, or partial annotations, using semi-supervised, weakly supervised, and partially supervised learning.

Education

ShanghaiTech University
Ph.D. in Computer Science
Supervisor: Prof. Dinggang Shen
Wuhan University of Technology
B.Eng. in Information Engineering
Outstanding Graduate; Postgraduate Recommendation

Experience

United Imaging Intelligence (UII)
Research Intern, R&D
Multimodal LLMs with Dr. Dijia Wu and Dr. Xi Ouyang

News

2026

  • 09/2026One paper (cephalometric landmark detection across ages) is accepted by MedIA!
  • 08/2026Our MVAA-UniSeg won 1st place in the MICCAI 2026 MVAA Challenge (Mitral Valve Anatomy Analysis)!
  • 06/2026One paper (gingiva segmentation in CBCT) is accepted by MICCAI 2026 after rebuttal!
  • 06/2026One paper (CTA–DSA vascular registration) is accepted by MedIA!
  • 05/2026One paper (weakly-supervised coronary artery segmentation) is early accepted by MICCAI 2026!

2025

  • 12/2025One paper (semi-supervised echocardiography landmark tracking) is accepted by IEEE TMI, a nice ending for 2025!
  • 07/2025One paper (semi-supervised medical image segmentation) is accepted by IEEE TMI!
  • 07/2025One paper (knowledge-informed diffusion model for tooth alignment) is accepted by MedIA!
  • 06/2025One paper (semi-supervised echocardiogram segmentation) is accepted by MICCAI 2025 after rebuttal!
  • 06/2025Started my research internship at United Imaging Intelligence (UII).
  • 05/2025One clinical paper (condylar evaluation for orthognathic surgery) is accepted by Journal of Dentistry!
  • 05/2025One paper (foundation-model-based dental caries detection) is early accepted by MICCAI 2025!
  • 05/2025Google Scholar citations crossed 100.
  • 03/2025One paper (CLIP in medical imaging survey) is accepted by MedIA!

Publications

* indicates equal contribution and + indicates corresponding author.

Foundation & Multimodal Models

Taming Foundation Model with Invariance-Oriented Pre-training for Broad-Spectrum EEG Analysis across Signal-Level, Brain-State, and Brain-Health Tasks
Yulong Dou, Han Wu, Guo Chen, Fangmao Ju, Zhiming Cui+, Dinggang Shen+
arXiv preprint, 2026 · Under Review
CLIP in Medical Imaging: A Comprehensive Survey
Zihao Zhao*, Yuxiao Liu*, Han Wu*, Mei Wang, Yonghao Li, Sheng Wang, Lin Teng, Disheng Liu, Zhiming Cui+, Qian Wang+, Dinggang Shen+
Medical Image Analysis (MedIA), 2025

Cardiovascular

MVAA-UniSeg: A Query-Conditioned Universal Model with Modality-Specific Experts for Mitral Valve Segmentation
Han Wu, Dinggang Shen+
MICCAI 2026 Workshop on Medical World Models (MWM) 🥇 1st Place · MVAA Challenge
Weakly-Supervised Coronary Artery Segmentation from DSA Sequence via Motion-Aware Modeling
Han Wu, Xiaosong Xiong, Yanli Song, Yiqiang Zhan, Sean Zhou, Dijia Wu+, Dinggang Shen+
MICCAI 2026 Early Accept · Top 9%
Two-Stage Robust 3D CTA–2D DSA Alignment via Vascular-Aware Rigid and Pyramid-Based Hierarchical Non-Rigid Registration
Xiaosong Xiong, Caiwen Jiang, Han Wu, Xiao Zhang, Peng Wu, Jia Mi, Yanli Song, Xinyi Zhang, Jiayin Zhang, Dijia Wu+, Dinggang Shen+
Medical Image Analysis (MedIA), 2026
Semi-Supervised Landmark Tracking in Echocardiography Video via Spatial-Temporal Co-Training and Perception-Aware Attention
Han Wu, Haoyuan Chen, Lin Zhou+, Qi Xu+, Zhiming Cui+, Dinggang Shen+
IEEE Transactions on Medical Imaging (IEEE TMI), 2026
Dual Cross-image Semantic Consistency with Self-aware Pseudo Labeling for Semi-supervised Medical Image Segmentation
Han Wu, Chong Wang, Zhiming Cui+
IEEE Transactions on Medical Imaging (IEEE TMI), 2025
A Semi-Supervised Knowledge Distillation Framework for Left Ventricle Segmentation and Landmark Detection in Echocardiograms
Haoyuan Chen, Yonghao Li, Long Yang, Han Wu, Lin Zhou+, Kaicong Sun, Dinggang Shen+
MICCAI 2025

Digital Dentistry

CeLDA+: Cephalometric Landmark Detection across Ages with Learnable Prototypical Network
Han Wu*, Wei Jia*, Lanzhuju Mei, Tong Yang, Min Zhu, Haizhen Li+, Chong Wang+, Dinggang Shen+, Zhiming Cui+
Medical Image Analysis (MedIA), 2026
Cross-surface Representation Learning for Accurate Gingiva Prediction in CBCT
Lanzhuju Mei, Yuan Li, Han Wu, Wen Gu, Chong Wang, Maurizio Tonetti, Zhiming Cui, Dinggang Shen+
MICCAI 2026
CLIK-Diffusion: Clinical Knowledge-informed Diffusion Model for Tooth Alignment
Yulong Dou, Han Wu, Changjian Li, Chen Wang, Tong Yang, Min Zhu, Dinggang Shen, Zhiming Cui+
Medical Image Analysis (MedIA), 2025
Fully Automated Evaluation of Condylar Remodeling After Orthognathic Surgery in Skeletal Class II Patients Using Deep Learning and Landmarks
Wei Jia, Han Wu, Lanzhuju Mei, Jiamin Wu, Minjiao Wang+, Zhiming Cui+
Journal of Dentistry (JoD), 2025
Adapting Foundation Model for Dental Caries Detection with Dual-View Co-Training
Tao Luo*, Han Wu*, Tong Yang, Dinggang Shen, Zhiming Cui+
MICCAI 2025 Early Accept · Top 9%
Cephalometric Landmark Detection across Ages with Prototypical Network
Han Wu*, Chong Wang*, Lanzhuju Mei, Tong Yang, Min Zhu, Dinggang Shen, Zhiming Cui+
MICCAI 2024
Geometry-Aware Attenuation Learning for Sparse-View CBCT Reconstruction
Zhentao Liu, Yu Fang, Changjian Li, Han Wu, Yuan Liu, Dinggang Shen, Zhiming Cui+
IEEE Transactions on Medical Imaging (IEEE TMI), 2024

Others

Multi-View Vertebra Localization and Identification from CT Images
Han Wu, Jiadong Zhang, Yu Fang, Zhentao Liu, Nizhuan Wang, Zhiming Cui+, Dinggang Shen+
MICCAI 2023

Awards & Achievements

Academic Services

Conference Reviewer

Journal Reviewer

  • IEEE Transactions on Medical Imaging (TMI)
  • IEEE Transactions on Biomedical Engineering (TBME)
  • IEEE Transactions on Geoscience and Remote Sensing (TGRS)
  • ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)
  • Neural Networks
  • Signal Processing
  • Digital Signal Processing

Teaching & Mentorship

Teaching Assistant
BME2113 — Algorithms Design and Analysis (Python), ShanghaiTech, Fall 2023
Mentored Students

During my Ph.D. study, I also help supervise junior postgraduate and undergraduate students.

Tao Luo
Ph.D. student @ ShanghaiTech
  • Adapting Foundation Model for Dental Caries Detection with Dual-View Co-Training MICCAI 2025 · Early Accept
Wei Jia
Undergraduate @ ShanghaiTech → Ph.D. @ Fudan University
  • Fully Automated Evaluation of Condylar Remodeling After Orthognathic Surgery JoD 2025
  • National College Biomedical Engineering Innovation Design Competition 1st Prize · Top 5%

Invited Talks

MVAA-UniSeg: A Query-Conditioned Universal Model with Modality-Specific Experts for Mitral Valve Segmentation
MVAA Webinar, September 2026
Artificial Intelligence in Digital Dentistry
Guest Talk, University of Edinburgh, 2026
Knowledge-driven Landmark Detection in Medical Images
Stars Talk, BME School, ShanghaiTech University, 2025

Miscellaneous

A big fan of Taylor Swift, Jay Chou, and JJ Lin.
Love playing guitar — Masaaki Kishibe is my favorite guitarist.
Enjoy League of Legends with friends — reached Master tier in LOLM.

Contact

Office
IDEA Lab, Room 405, BME Building, ShanghaiTech
Address
393 Middle Huaxia Road, Pudong, Shanghai, China