Maorong Wang | The University of Tokyo

About Me

Hi there! I am currently a PhD student at Computer Vision and Media Lab, the University of Tokyo, advised by Professor Toshihiko Yamasaki. My research primarily focuses on Machine Learning and Computer Vision. Specifically Representation Learning, Knowledge Distillation and Continual Learning.

News

2024/08: I started an internship at CyberAgent, Inc.
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-present
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.

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

ICLR 2025
NeurIPS 2024
ACM MM 2024
MMM 2025
VCIP 2024