Scholar
Guang Li
Google Scholar ID: HLF1_gUAAAAJ
Assistant Professor, Hokkaido University
Dataset Distillation
Self-Supervised Learning
Data-Centric AI
Medical Image Analysis
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
460
H-index
13
i10-index
15
Publications
20
Co-authors
18
list available
Contact
Email
guang@lmd.ist.hokudai.ac.jp
Twitter
Open ↗
GitHub
Open ↗
LinkedIn
Open ↗
Publications
50 items
Efficient Video Dataset Distillation via Cluster-Guided Prototype Blending
2026
Cited
0
Self-Supervised Representation-Guided Generative Dataset Distillation
2026
Cited
0
Beyond Background Bias: Saliency-Driven Prototype Alignment for Dataset Distillation
2026
Cited
0
NavCMPO: Critic-Guided MeanFlow Policy Optimization for Adaptive Navigation
2026
Cited
0
SoftNav: Injecting 3D Scene Tokens into VLMs for Embodied Navigation
2026
Cited
0
MemTrace: Tracing and Attributing Errors in Large Language Model Memory Systems
2026
Cited
0
SAS: Semantic-aware Sampling for Generative Dataset Distillation
2026
Cited
0
Beyond What to Select: A Plug-and-play Oscillatory Data-Volume Scheduling for Efficient Model Training
2026
Cited
0
Load more
Resume (English only)
Academic Achievements
Recipient of the 2024 IEEE Sapporo YP Best Researcher Award for contributions to Dataset Distillation
Co-organized the 1st CVPR Workshop on Dataset Distillation and The First Dataset Distillation Challenge at ECCV
Serves as Area Chair for ACM MM and MICCAI
Regular Program Committee Member for NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV
Reviewer for prestigious journals including TPAMI, TIP, TMM, TMI, and MedIA
Multiple papers accepted at TMLR, NeurIPS 2025, ICCV 2025 (one selected as ICCV Highlight, top 2%), and AAAI 2025
Awarded JSPS Grant-in-Aid for Early-Career Scientists in 2025
Released DD-Ranking in May 2025
Education
2015.09–2019.06: B.S. in Software Engineering, Dalian University of Technology, China
2015.09–2019.06: B.A. in Japanese (dual degree), Dalian University of Technology, China
2020.04–2022.03: M.S. in Information Science, Hokkaido University, Japan
2022.04–2023.09: Ph.D. in Information Science, Hokkaido University, Japan
Advised by Prof. Miki Haseyama and Prof. Takahiro Ogawa
Co-authors
18 total
Miki Haseyama
Hokkaido University
Takahiro Ogawa
Hokkaido University
Ren Togo
Hokkaido University
Duo Su
Tsinghua University
Dongyuan Li
The University of Tokyo
Zhen Wang
Tokyo Institute of Technology
Renhe Jiang
The University of Tokyo
Wenbo Huang
Southeast University | Institute of Science Tokyo