Meirui Jiang's Homepage

Meirui Jiang

Post-doctoral Fellow
Department of Computer Science and Engineering
The Chinese University of Hong Kong
Office: Room 1024, Ho Sin-Hang Engineering Building
Email: mrjiang [at] cse.cuhk.edu.hk

Short Bio

I'm currently on the job market. Please reach out if you think I would be a good fit. Thank you!

I am currently working as a postdoctoral research fellow with Prof. Qi Dou at the CSE, CUHK. I have received my Ph.D. degree from the Department of Computer Science and Engineering (CSE), The Chinese University of Hong Kong (CUHK), supervised by Prof. Qi Dou. Previously, I received the B. Eng. degree from Shandong University (SDU) in 2020, under the supervison from Prof. Yuanfeng Zhou.

My research centers around the intersection of machine learning and healthcare, with a particular focus on medical image analysis. I am driven by a strong desire to enhance the applicability of machine learning algorithms, with a focus on their robustness, efficiency, generalizability, reliability, and privacy. In particular, I am passionate about leveraging large distributed datasets to empower real-world applications in the healthcare domain. By exploring this interdisciplinary realm, I aim to contribute to advancing machine learning techniques and their transformative impact on healthcare practices.

News

[2024-10] One paper on communication-efficient federated learning is accepted by NeurIPS 2024.
[2024-06] I passed my Ph.D. oral defense on 27 June, 2024.
[2024-06] One paper on multi-organ trauma detection via vision-language model is accepted by MICCAI 2024 (~31%).
[2024-06] One paper on diabetic macular edema detection via federated learning is accepted by NEJM AI (NEJM Group).
[2024-01] One paper on personalized federated learning for heterogeneous data is accepted by ICLR 2024 (~31%).
[2023-06] Two papers on federated learning (differential privacy / generalization & personalization) are accepted by MICCAI 2023 (~32%).
[2023-03] One paper on inside-outside personalization for federated learning is accepted by IEEE TMI.
[2023-02] One paper on federated learning for fairness is accepted by CVPR 2023.
[2022-09] One paper on real-world large-scale (71 healthcare institutions across 6 continents) federated learning for brain tumor segmentation is accepted by Nature Communications.
[2022-09] We won the champion of Federated Tumor Segmentation Challenge (FeTS) of MICCAI 2022!
[2022-09] One paper on federated learning for domain generalization is accepted by WACV 2022. Congrats to Junming!
[2022-05] One paper on federated learning for class imbalance is early accepted by MICCAI 2022.
[2022-02] Awarded AAAI 2022 Student Scholarship.
[2021-12] Our work FedBN is taken as a built-in baseline in Flower (a cool federated learning open-source framework).
[2021-12] Paper on federated learning for heterogeneous medical images is accepted by AAAI 2022.
[2021-09] We won the champion of Federated Tumor Segmentation Challenge (FeTS) of MICCAI 2021, the first international competition on federated learning!
[2021-02] One paper on federated learning for COVID-19 lesion detection is accepted by npj Digital Medicine.
[2021-01] One paper on federated learning for non-iid feature is accepted by ICLR 2021.
[2020-04] Awarded Hong Kong PhD Fellowship Scheme (HKPFS).

Publications

* denotes the co-first author and ^† denotes the corresponding author.

	Language-Enhanced Local-Global Aggregation Network for Multi-Organ Trauma Detection. Jianxun Yu, Qixin Hu, Meirui Jiang^†, Yaning Wang, Chin Ting Wong, Jing Wang, Huimao Zhang, Qi Dou. Medical Image Computing and Computer Assisted Interventions 2024, (MICCAI), 2024. [paper] [code]
	Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate. Meirui Jiang, Anjie Le, Xiaoxiao Li, Qi Dou. International Conference on Learning Representations 2024, (ICLR), 2024. [paper] [code]
	Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging. Meirui Jiang, Yuan Zhong, Anjie Le, Xiaoxiao Li, Qi Dou. Medical Image Computing and Computer Assisted Interventions 2023, (MICCAI), 2023. [paper] [code]
	IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation. Meirui Jiang, Hongzheng Yang, Chen Cheng, Qi Dou. IEEE Transactions on Medical Imaging (TMI), 2023. (Special Issue on Federated Learning for Medical Imaging) [paper] [code]
	Fair Federated Medical Image Segmentation via Client Contribution Estimation. Meirui Jiang, Holger R. Roth, Wenqi Li, Dong Yang, Can Zhao, Vishwesh Nath, Daguang Xu, Qi Dou, Ziyue Xu. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. (DEI Travel Award) [paper] [code] [project]
	Federated Learning Enables Big Data for Rare Cancer Boundary Detection. Sarthak Pati, Ujjwal Baid, ..., Meirui Jiang, Tiffany Y So, Cheng Chen, Pheng Ann Heng, Qi Dou, (CUHK Team) ... Full author list: Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih-Han Wang, G Anthony Reina, Patrick Foley, Alexey Gruzdev, Deepthi Karkada, Christos Davatzikos, Chiharu Sako, Satyam Ghodasara, Michel Bilello, Suyash Mohan, Philipp Vollmuth, Gianluca Brugnara, Chandrakanth J Preetha, Felix Sahm, Klaus Maier-Hein, Maximilian Zenk, Martin Bendszus, Wolfgang Wick, Evan Calabrese, Jeffrey Rudie, Javier Villanueva-Meyer, Soonmee Cha, Madhura Ingalhalikar, Manali Jadhav, Umang Pandey, Jitender Saini, John Garrett, Matthew Larson, Robert Jeraj, Stuart Currie, Russell Frood, Kavi Fatania, Raymond Y Huang, Ken Chang, Carmen Balaña Quintero, Jaume Capellades, Josep Puig, Johannes Trenkler, Josef Pichler, Georg Necker, Andreas Haunschmidt, Stephan Meckel, Gaurav Shukla, Spencer Liem, Gregory S Alexander, Joseph Lombardo, Joshua D Palmer, Adam E Flanders, Adam P Dicker, Haris I Sair, Craig K Jones, Archana Venkataraman, Meirui Jiang, Tiffany Y So, Cheng Chen, Pheng Ann Heng, Qi Dou, Michal Kozubek, Filip Lux, Jan Michálek, Petr Matula, Miloš Keřkovský, Tereza Kopřivová, Marek Dostál, Václav Vybíhal, Michael A Vogelbaum, J Ross Mitchell, Joaquim Farinhas, Joseph A Maldjian, Chandan Ganesh Bangalore Yogananda, Marco C Pinho, Divya Reddy, James Holcomb, Benjamin C Wagner, Benjamin M Ellingson, Timothy F Cloughesy, Catalina Raymond, Talia Oughourlian, Akifumi Hagiwara, Chencai Wang, Minh-Son To, Sargam Bhardwaj, Chee Chong, Marc Agzarian, Alexandre Xavier Falcão, Samuel B Martins, Bernardo CA Teixeira, Flávia Sprenger, David Menotti, Diego R Lucio, Pamela LaMontagne, Daniel Marcus, Benedikt Wiestler, Florian Kofler, Ivan Ezhov, Marie Metz, Rajan Jain, Matthew Lee, Yvonne W Lui, Richard McKinley, Johannes Slotboom, Piotr Radojewski, Raphael Meier, Roland Wiest, Derrick Murcia, Eric Fu, Rourke Haas, John Thompson, David Ryan Ormond, Chaitra Badve, Andrew E Sloan, Vachan Vadmal, Kristin Waite, Rivka R Colen, Linmin Pei, Murat Ak, Ashok Srinivasan, J Rajiv Bapuraj, Arvind Rao, Nicholas Wang, Ota Yoshiaki, Toshio Moritani, Sevcan Turk, Joonsang Lee, Snehal Prabhudesai, Fanny Morón, Jacob Mandel, Konstantinos Kamnitsas, Ben Glocker, Luke VM Dixon, Matthew Williams, Peter Zampakis, Vasileios Panagiotopoulos, Panagiotis Tsiganos, Sotiris Alexiou, Ilias Haliassos, Evangelia I Zacharaki, Konstantinos Moustakas, Christina Kalogeropoulou, Dimitrios M Kardamakis, Yoon Seong Choi, Seung-Koo Lee, Jong Hee Chang, Sung Soo Ahn, Bing Luo, Laila Poisson. Nature Communications, 2022. [paper] [code]
	Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer. Junming Chen, Meirui Jiang, Qi Dou, Qifeng Chen. IEEE/CVF Winter Conference on Applications of Computer Vision 2023, (WACV), 2023. [paper] [code] [project]
	Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance. Meirui Jiang, Hongzheng Yang, Xiaoxiao Li, Quande Liu, Pheng-Ann Heng, Qi Dou. Medical Image Computing and Computer Assisted Interventions 2022, (MICCAI), 2022. (Eearly accept) [paper] [code]
	HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images. *Meirui Jiang,^†*, Zirui Wang, Qi Dou. AAAI Conference on Artificial Intelligence (AAAI), 2022. (Graduate Student Scholarship) [paper] [code]
	FedBN: Federated Learning on Non-IID Features via Local Batch Normalization. Xiaoxiao Li, Meirui Jiang, Xiaofei Zhang, Michael Kamp, Qi Dou. International Conference on Learning Representations (ICLR), 2021. [paper] [code] [Flower FL platform / Flower Doc]
	Federated Deep Learning for Detecting COVID-19 Lung Abnormalities in CT: A Privacy-preserving Multinational Validation Study. Qi Dou, Tiffany Y So, Meirui Jiang, Quande Liu, Varut Vardhanabhuti, Georgios Kaissis, Zeju Li, Weixin Si, Heather Lee, Kevin Yu, Zuxin Feng, Li Dong, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon Yu, Pheng Ann Heng. npj Digital Medicine, Nature Publishing Group, 2021. [paper] [code]
	UniFed: A Unified Framework for Federated Learning on Non-IID Image Features. Meirui Jiang, Xiaoxiao Li, Xiaofei Zhang, Michael Kamp, Qi Dou. arXiv preprint. [paper]

Talks & Presentations

Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images.

AI Drive

Video

Robust and Reliable Federated Learning for Heterogeneous Medical Images.

Stanford MedAI

Video

Awards

First Place in MICCAI PhD Thesis Madness, 2024
MICCAI Outstanding Reviewer Award, 2023.
Second Place in Student Short Video Competition (2/43), Medical Imaging Computing Seminar (MICS), 2023.
CVPR DEI Travel Award, 2023.
MICCAI Outstanding Reviewer Award (Honorable Mentions), 2022
Champion in MICCAI Federated Tumor Segmentation Challenge Task 2, 2022.
Third Place in MICCAI Federated Tumor Segmentation Challenge Task 1, 2022.
IEEE TMI Distinguished Reviewer, Bronze Level, 2022
Champion in MICCAI Federated Tumor Segmentation Challenge Task 2, 2021.
Third Place in MICCAI Federated Tumor Segmentation Challenge Task 1, 2021.
Hong Kong PhD Fellowship Scheme (HKPFS), 2020.
Outstading Graduate of Shandong Province, 2020.
MICCAI Undergraduate Student Travel Award, 2019.
Champion in MICCAI Endoscopic Vision Challenge on Surgical Robotics Phase Recognition Task, 2019.
Second Place in MICCAI Endoscopic Vision Challenge on Surgical Instrument Recognition Task, 2019.
National Scholarship, from the ministry of Education of China, 2019,2018,2017.
President Scholarship, highest honor from Shandong Univ. (25 awardees per year), 2019.
BaoSteel Excellent Students Award (4 awardees in Shandong Univ. and 500 in China per year), 2019.

Miscellaneous

Professional Activities

Conference Service:

Organization Committee, Domain Adaptation and Representation Transfer (DART), MICCAI 2023 Workshop.
Program Committee, Medical Imaging Meets NeurIPS (Med-NeurIPS), NeurIPS 2021 & 2022 Workshop.
Program Committee, Interpretable Machine Learning in Healthcare (IMLH), ICML 2021 & 2022 Workshop.
Program Committee, Distributed And Collaborative Learning (DCL), MICCAI 2021 & 2022 Workshop.
Volunteer, Medical Imaging Meets NeurIPS (Med-NeurIPS), NeurIPS 2021 & 2022 Workshop.

Conference Reviews:

International Symposium on Biomedical Imaging (ISBI), 2025.
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025.
International Conference on Machine Learning (ICML), 2024.
International Conference on Learning Representations (ICLR), 2024, 2025.
Conference on Neural Information Processing Systems (NeurIPS), 2023, 2024.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022, 2023, 2024, 2025.
IEEE/CVF International Conference on Computer Vision (ICCV) 2023.
European Conference on Computer Vision (ECCV) 2022, 2024.
AAAI Conference on Artificial Intelligence (AAAI), 2024, 2025.
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2022, 2023, 2024.
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2022.
Asian Conference on Computer Vision (ACCV) 2024.

Journal Reviews:

IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
IEEE Transactions on Medical Imaging (TMI).
Medical Image Analysis (MedIA).
International Journal of Computer Vision (IJCV).
IEEE Journal of Biomedical and Health Informatics (JBHI).
IEEE Transactions on Big Data (TBD).
Medical Physics.
Human-Centric Intelligent Systems.

Press Coverage

Work on semi-supervised FL has been reported by MICCAI 2022 Daily, RSIP Vision.
CUHK Research Team Develops an AI System for Detecting COVID-19 Infections in CT with a Privacy Preserving Multinational Validation Study, 2021. reported by 星岛日报 (Singtao Daily).

Teaching Experience

2020-2021 Fall Problem Solving by Programming (ENGG 1110).
2020-2021 Spring Introduction to Java (CSCI 1030).
2021-2022 Fall Problem Solving by Programming (ENGG 1110).
2021-2022 Spring Introduction to Java (CSCI 1030).
2022-2023 Fall Problem Solving by Programming (ENGG 1110).