Jianghao Wu

Jianghao Wu 伍江浩

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PhD Student @ Monash University

Bio

I am a PhD student at Monash University, with a Master’s degree from the University of Electronic Science and Technology of China (UESTC), where I was supervised by Prof. Guotai Wang and Prof. Shaoting Zhang. I am a member of HiLab.

Research

My research focus on post-training adaptation of medical AI models, ranging from lightweight deep learning networks to large-scale foundation models. My research explores domain adaptation, test-time training, and self-supervised learning to enhance the reasoning-time robustness and generalizability of visual, language, and multi-modal systems in real-world medical scenarios.

Collaboration & Opportunities

New Research on self-supervision for medical image segmentation is accepted by IEEE TIP
September 2025
Introducing Volume Fusion-Based Self-Supervised Pretraining for 3D Medical Image Segmentation .

Selected Papers

UPL-TTA: Uncertainty-aware pseudo label guided fully test time adaptation for fetal brain segmentation

Jianghao Wu, Ran Gu, Tao Lu, Shaoting Zhang, and Guotai Wang

International Conference on Information Processing in Medical Imaging(IPMI) 2023

ArXiv Bib
@inproceedings{wu2023upl, title = {UPL-TTA: Uncertainty-aware pseudo label guided fully test time adaptation for fetal brain segmentation}, author = {Wu, Jianghao and Gu, Ran and Lu, Tao and Zhang, Shaoting and Wang, Guotai}, booktitle = {International Conference on Information Processing in Medical Imaging(IPMI)}, preview = {upl-tta.png}, pages = {237--249}, year = {2023}, selected = {true}, bibtex_show = {true}, arxiv = {2405.14256}, abbr = {IPMI} }
FPL+: Filtered Pseudo Label-based Unsupervised Cross-Modality Adaptation for 3D Medical Image Segmentation

Jianghao Wu, Dong Guo, Guotai Wang, Qiang Yue, Huijun Yu, Kang Li, and Shaoting Zhang

IEEE Transactions on Medical Imaging (TMI)

ArXiv CODE Bib
@article{wu2024fpl+, title = {FPL+: Filtered Pseudo Label-based Unsupervised Cross-Modality Adaptation for 3D Medical Image Segmentation}, author = {Wu, Jianghao and Guo, Dong and Wang, Guotai and Yue, Qiang and Yu, Huijun and Li, Kang and Zhang, Shaoting}, journal = {IEEE Transactions on Medical Imaging (TMI)}, preview = {fpl-plus.png}, year = {2024}, volume = {43}, number = {9}, pages = {3098-3109}, code = {https://github.com/HiLab-git/FPL-plus}, arxiv = {2404.04971}, abbr = {TMI}, selected = {true}, bibtex_show = {true} }
Volume Fusion-Based Self-Supervised Pretraining for 3D Medical Image Segmentation

Guotai Wang, Jia Fu, Jianghao Wu, Xiangde Luo, Yubo Zhou, Xinglong Liu, Kang Li, Jingsheng Lin, Baiyong Shen, and Shaoting Zhang

IEEE Transactions on Image Processing

CODE Bib
@article{wang2025vfs, title = {Volume Fusion-Based Self-Supervised Pretraining for 3D Medical Image Segmentation}, author = {Wang, Guotai and Fu, Jia and Wu, Jianghao and Luo, Xiangde and Zhou, Yubo and Liu, Xinglong and Li, Kang and Lin, Jingsheng and Shen, Baiyong and Zhang, Shaoting}, journal = {IEEE Transactions on Image Processing}, preview = {self-tip.png}, year = {2025}, volume = {34}, pages = {6041--6052}, abbr = {TIP}, selected = {true}, bibtex_show = {true}, code = {https://github.com/openmedlab/MIS-FM} }
UPL-SFDA: Uncertainty-aware pseudo label guided source-free domain adaptation for medical image segmentation

Jianghao Wu, Guotai Wang, Ran Gu, Tao Lu, Yinan Chen, Wentao Zhu, Tom Vercauteren, Sébastien Ourselin, and Shaoting Zhang

IEEE Transactions on Medical Imaging (TMI)

ArXiv CODE Bib
@article{wu2023upm, title = {UPL-SFDA: Uncertainty-aware pseudo label guided source-free domain adaptation for medical image segmentation}, author = {Wu, Jianghao and Wang, Guotai and Gu, Ran and Lu, Tao and Chen, Yinan and Zhu, Wentao and Vercauteren, Tom and Ourselin, S{\'e}bastien and Zhang, Shaoting}, journal = {IEEE Transactions on Medical Imaging (TMI)}, preview = {upl-sfda.png}, year = {2023}, volume = {42}, number = {12}, pages = {3932-3943}, code = {https://github.com/HiLab-git/UPL-SFDA}, arxiv = {2309.10244}, abbr = {TMI}, selected = {true}, bibtex_show = {true} }
TISS-net: Brain tumor image synthesis and segmentation using cascaded dual-task networks and error-prediction consistency

Jianghao Wu, Dong Guo, Lu Wang, Shuojue Yang, Yuanjie Zheng, Jonathan Shapey, Tom Vercauteren, Sotirios Bisdas, Robert Bradford, Shakeel Saeed, and others

Neurocomputing

Bib
@article{wu2023tiss, title = {TISS-net: Brain tumor image synthesis and segmentation using cascaded dual-task networks and error-prediction consistency}, author = {Wu, Jianghao and Guo, Dong and Wang, Lu and Yang, Shuojue and Zheng, Yuanjie and Shapey, Jonathan and Vercauteren, Tom and Bisdas, Sotirios and Bradford, Robert and Saeed, Shakeel and others}, journal = {Neurocomputing}, preview = {tiss-net.png}, volume = {544}, pages = {126295}, year = {2023}, abbr = {Neurocomputing}, selected = {true}, bibtex_show = {true} }
A novel one-to-multiple unsupervised domain adaptation framework for abdominal organ segmentation

Xiaowei Xu, Yinan Chen, Jianghao Wu, Jiangshan Lu, Yuxiang Ye, Yechong Huang, Xin Dou, Kang Li, Guotai Wang, Shaoting Zhang, and others

Medical Image Analysis (MedIA)

Bib
@article{xu2023novel, title = {A novel one-to-multiple unsupervised domain adaptation framework for abdominal organ segmentation}, author = {Xu, Xiaowei and Chen, Yinan and Wu, Jianghao and Lu, Jiangshan and Ye, Yuxiang and Huang, Yechong and Dou, Xin and Li, Kang and Wang, Guotai and Zhang, Shaoting and others}, journal = {Medical Image Analysis (MedIA)}, preview = {mia-xiaowei.png}, volume = {88}, pages = {102873}, year = {2023}, abbr = {MedIA}, selected = {true}, bibtex_show = {true} }
TAGS: A Test-Time Generalist-Specialist Framework with Retrieval-Augmented Reasoning and Verification

Jianghao Wu, Feilong Tang, Yulong Li, Ming Hu, Haochen Xue, Shoaib Jameel, Yutong Xie, and Imran Razzak

arXiv preprint arXiv:2505.18283

ArXiv CODE
SAM-aware Test-time Adaptation for Universal Medical Image Segmentation

Jianghao Wu, Yicheng Wu, Yutong Xie, Wenjia Bai, You Zhang, Feilong Tang, Yulong Li, Yasmeen George, and Imran Razzak

arXiv preprint arXiv:2506.05221

ArXiv

Google Scholar Infobox

Awards

National Scholarship, 2023
1^st Place Award in MMIS-2024 @ ACM MM 2024
2^nd Place Award in MBH-Seg @ MICCAI 2024
2^nd Place Award in FLARE @ MICCAI 2025
3^rd Place Award in SegRap @ MICCAI 2025

Research Experience

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), 2025.02 - 2025.05
University of Electronic Science and Technology of China (UESTC), 2024.07 - 2025.02
Shanghai Artificial Intelligence Laboratory, 2022.11 - 2024.02
SenseTime, 2022.03 - 2022.07
华西精创医疗科技（成都）有限公司, 2022.07 - 2022.08

Service

IEEE Transactions on Medical Imaging (TMI)
IEEE Transactions on Image Processing (TIP)
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
IEEE Transactions on Industrial Informatics (TII)
IEEE Transactions on Neural Systems & Rehabilitation Engineering (TNSRE)
IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI)
Journal of Biomedical and Health Informatics (JBHI)
IEEE Sensors Journal
Medical Physics
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
ACM Multimedia (ACM MM)
IEEE International Symposium on Biomedical Imaging (ISBI)

Bio