Meirui Jiang's Homepage

Meirui Jiang

Ph.D. Student
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 am currently a third year Ph.D. student in the Department of Computer Science and Engineering, The Chinese University of Hong Kong, supervised by Prof. Qi Dou. Previously, I received the B. Eng. degree from Shandong University in 2020, under the supervison from Prof. Yuanfeng Zhou.

My research interest lies in computer vision and machine learning with applications for medical image analysis. I aim to promote the applicability (regarding explainability, privacy and generalizability) of AI research for healthcare. Recently I focus on federated learning.

News

[2023-03] Paper on inside-outside personalization for federated learning is accepted by IEEE TMI.
[2022-09] 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] Paper on federated learning for domain generalization is accepted by WACV 2022. Congrats to Junming!
[2022-05] 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] Paper on federated learning for COVID-19 lesion detection is accepted by npj Digital Medicine.
[2021-01] Paper on federated learning for non-iid feature is accepted by ICLR 2021.
[2020-04] Awarded Hong Kong PhD Fellowship Scheme (HKPFS).

Publications

	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]
	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]

Awards

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.
Regular reviewers for MICCAI, CVPR, ICCV, ECCV, WACV.
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.

Journal Reviews:

IEEE Transactions on Medical Imaging (TMI).
IEEE Journal of Biomedical and Health Informatics (JBHI).
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).