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Home/Authors/Hee Suk Yoon

Hee Suk Yoon

2 indexed papers

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

Publications per year

2
26

Top categories

Audio and Speech Processing×1Vision×1NLP×1

Frequent co-authors

SooHwan Eom2×
Eunseop Yoon2×
Mark Hasegawa-Johnson2×
Chang D. Yoo2×
Jaehyun Jang1×
Ji Woo Hong1×

Research Timeline

2026
Decomposed On-Policy Distillation for Vision-Language Reasoning: Steering Gradients for Visual Grounding

The paper proposes Visual Gradient Steering (VGS), a method that decomposes the distillation loss into language and visual components and steers the optimization to prioritize visual grounding, significantly improving vision-language reasoning.

Transcript-Free Flow-Matching Text-to-Speech via Speech Feature Conditioning

The paper proposes RTFree-F5, a method to make flow-matching TTS models like F5-TTS independent of reference transcripts, improving performance and naturalness for dysarthric speakers.

Highlighted terms show continued research focus across papers

Papers

eess.ASEmpiricalRecentJun 18, 2026

Transcript-Free Flow-Matching Text-to-Speech via Speech Feature Conditioning

SooHwan Eom, Hee Suk Yoon, Eunseop Yoon, Mark Hasegawa-Johnson +1 more

The paper proposes RTFree-F5, a method to make flow-matching TTS models like F5-TTS independent of reference transcripts, improving performance and naturalness for dysarthric speakers.

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cs.CVcs.CLRecentMay 30, 2026

Decomposed On-Policy Distillation for Vision-Language Reasoning: Steering Gradients for Visual Grounding

Hee Suk Yoon, Eunseop Yoon, Jaehyun Jang, SooHwan Eom +5 more

The paper proposes Visual Gradient Steering (VGS), a method that decomposes the distillation loss into language and visual components and steers the optimization to prioritize visual grounding, signif…

View →