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Jaehong Yoon — most-cited papers & profile · AI for Code
← authors
·
overview
Jaehong Yoon
12
papers ·
65
citations ·
0
h-index
Singapore Management University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Federated Continual Learning with Weighted Inter-client Transfer
2020 · 31 citations
Personalized Subgraph Federated Learning
2022 · 11 citations
Personalized Subgraph Federated Learning
2022 · 11 citations
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization
2022 · 5 citations
Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning
2020 · 4 citations
EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents
2024 · 2 citations
Video-RTS: Rethinking Reinforcement Learning and Test-Time Scaling for Efficient and Enhanced Video Reasoning
2025 · 1 citations
MuseBench: Benchmarking Intent-Level Audiovisual Arts Understanding in MLLMs
2026
PhyMotion: Structured 3D Motion Reward for Physics-Grounded Human Video Generation
2026
RSQ: Learning from Important Tokens Leads to Better Quantized LLMs
2025
Video-RTS: Rethinking Reinforcement Learning and Test-Time Scaling for Efficient and Enhanced Video Reasoning
2025
Top co-authors
Gyusik Seo
· 1
Jaemin Cho
· 1
Jing Hao
· 1
Mohit Bansal
· 1
Yuxuan Fan
· 1
Topics
Federated Learning
Training Techniques
Data Heterogeneity
Model-Based RL
In-Context Learning
Efficiency
Optimization
Value-Based
RLHF & Alignment
Evaluation