Maorong Wang | National Institute of Informatics

About Me

Hi there! I am currently a PostDoc Researcher at Echizen Laboratory, National Institute of Informatics, advised by Professor Isao Echizen. My research primarily focuses on Machine Learning and Computer Vision. Specifically Representation Learning, Knowledge Distillation and Continual Learning.

News

2025/10: I started my PostDoc at National Institute of Informatics, under the supervision of Professor Echizen.
2025/09: I graduated my Ph.D. study at UTokyo. Deep thanks to my supervisor, and all members from CVM.
2025/08: I won “MIRU学生奨励賞” from MIRU 2025, the biggest Japanese domestic CV conference.
2025/04: I am invited to give a talk in FIT 2025, about our research in Online Continual Learning.
2025/02: I recieved “IE賞” award from “画像工学研究会” for the presentation “Online Continual Learning on a Synthetic Contaminated Datastream.”
2024/09: One paper is accepted by NeurIPS 2024!
2024/08: I started an internship at CyberAgent, Inc, supervised by Dr. Xueting Wang.
2024/06: I recieved “植之原留学生奨励賞” award.
2024/04: One co-authored paper is accepted by ICML 2024! Congrats to my collaborator Nicolas.
2024/04: I received support from the JST Support for Pioneering Research Initiated by the Next Generation (SPRING) Program.
2024/02: One paper is accepted by CVPR 2024!

Education

Ph.D. in Information and Communication Engineering, The University of Tokyo, 2022-2025
M.S. in Electrical Engineering, Northwestern University, 2019-2020
B.Eng. in Automation, Southeast University, 2015-2019

Publications

You can find the up-to-date list of my publications on my DBLP profile or Google Scholar profile. Below are some selected publications.

Dealing with Synthetic Data Contamination in Online Continual Learning

Maorong Wang, Nicolas Michel, Jiafeng Mao, Toshihiko Yamasaki

Annual Conference on Neural Information Processing Systems (NeurIPS), 2024.

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Rethinking Momentum Knowledge Distillation in Online Continual Learning

Nicolas Michel, Maorong Wang, Ling Xiao, Toshihiko Yamasaki

International Conference on Machine Learning (ICML), 2024.

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Improving Plasticity in Online Continual Learning via Collaborative Learning

Maorong Wang, Nicolas Michel, Ling Xiao, Toshihiko Yamasaki

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

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Bridging the Capacity Gap for Online Knowledge Distillation

Maorong Wang, Ling Xiao, Toshihiko Yamasaki

IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), 2023.

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Services

Reviewers

2026: AAAI, WACV
2025: NeurIPS, AISTATS, ICML, CVPR, ICLR
2024: NeurIPS, ACM MM, MMM, VCIP

Last Update: Sept. 2025.