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Home/Authors/Min Yun

Min Yun

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

AI×2Vision×1ML×1Multimedia×1Info Retrieval×1

Frequent co-authors

Shentong Mo1×
Sukmin Yun1×
Xiangyu Wang1×
Yawen He1×
Shivendra Pratap Singh1×
Han Huang1×

Research Timeline

2026
Synthetic Data from Cross-Domain Events for Large-Scale Recommendation Systems

The paper introduces SCALR, a novel framework that generates synthetic user-item interaction data from a source domain to augment a target recommendation domain, significantly improving system performance in A/B tests.

Improving Visual Representation Alignment Generation with GRPO

The paper proposes VRPO, a reinforcement learning-based optimization strategy that replaces static alignment losses in diffusion models, significantly improving both convergence and image fidelity.

Highlighted terms show continued research focus across papers

Papers

cs.CVcs.AIcs.LGRecentMay 30, 2026

Improving Visual Representation Alignment Generation with GRPO

Shentong Mo, Sukmin Yun

The paper proposes VRPO, a reinforcement learning-based optimization strategy that replaces static alignment losses in diffusion models, significantly improving both convergence and image fidelity.

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cs.IRcs.AIRecentMay 29, 2026

Synthetic Data from Cross-Domain Events for Large-Scale Recommendation Systems

Xiangyu Wang, Yawen He, Shivendra Pratap Singh, Han Huang +11 more

The paper introduces SCALR, a novel framework that generates synthetic user-item interaction data from a source domain to augment a target recommendation domain, significantly improving system perform…

View →