Eunseop Yoon
Scholar

Eunseop Yoon

Google Scholar ID: QbEnxx0AAAAJ
KAIST
Deep learning
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Citations & Impact
All-time
Citations
233
 
H-index
7
 
i10-index
7
 
Publications
20
 
Co-authors
0
 
Contact
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Publications
7 items
High-Fidelity Text-to-Image Generation from Pre-Trained Vision-Language Models via Distribution-Conditioned Diffusion Decoding
2026
Cited
0
PACR: Progressively Ascending Confidence Reward for LLM Reasoning
2025
Cited
0
Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models
2025
Cited
0
ConfPO: Exploiting Policy Model Confidence for Critical Token Selection in Large Language Model Preference Optimization
2025
Cited
0
HEAR: Hearing Enhanced Audio Response for Video-grounded Dialogue
Conference on Empirical Methods in Natural Language Processing · 2023
Cited
6
SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation
AAAI Conference on Artificial Intelligence · 2023
Cited
1
Selective Query-Guided Debiasing for Video Corpus Moment Retrieval
European Conference on Computer Vision · 2022
Cited
20
Resume (English only)
Academic Achievements
  • Published multiple academic papers, including works presented at ICML 2025, ICLR 2025, ECCV 2024, INTERSPEECH 2024, and more.
Research Experience
  • Ph.D. candidate, focusing on the reliability of AI and Deep Learning tools.
Education
  • Graduated from Hanyang University, Korea with a B.S. in Electrical Engineering (2021) and from Korea Advanced Institute of Science & Technology (KAIST) with an M.S. (2023). Currently a Ph.D. candidate at KAIST under the supervision of Professor Chang D. Yoo.
Background
  • Research Interests: Enhancing the reliability of AI and Deep Learning tools when working with images, videos, and languages. Ultimate goal is to contribute to the development of socially acceptable artificial intelligence through ongoing, in-depth research efforts.
Co-authors
0 total
Co-authors: 0 (list not available)