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M.S. in Graduate School of Culture Technology

Korea Advanced Institute of Science and Technology (KAIST)

• Advisor: Juhan Nam
• GPA: 4.12/4.3

B.S. in Computer Science and Engineering

Seoul National University (SNU)

• Double Major in Statistics
• GPA: 3.90/4.3

Music and Audio Computing Lab, KAIST

Research Intern
Advisor: Eunjin Choi, Prof. Juhan Nam

• Developed AImoclips, a comprehensive benchmark for evaluating how well text-to-music (TTM) generation systems convey intended emotions to human listeners. The benchmark offers valuable insights into model-specific emotion rendering characteristics and supports future development of emotionally aligned TTM systems.

Department of Mathematics, UCLA

Research Intern
Advisor: Hyunsik Chae, Prof. Ernest K. Ryu

• Developed AVSBench, a benchmark for evaluating visual understanding ability of visual language models(VLMs) by decomposing it into atomic visual skills. Found that VLMs struggle with most of these atomic visual skills that are obvious to humans.

Music and Audio Research Group, Seoul National University

Research Intern
Prof. Kyogu Lee

• Implemented and tested Theme Transformer, a Transformer-based music generation framework conditioned on a small, thematic musical piece that generates symbolic music consistent with the theme.

Human-Computer Interaction Lab, Seoul National University

UROP(Undergraduate Research Opportunities Program) Student
Advisor: Hyeon Jeon, Prof. Jinwook Seo

• Developed UMATO, a novel dimension reduction algorithm for data visualization and evaluated its scalability.

Kwanjeong Foundation Domestic Scholarship

• Funded by Kwanjeong Foundation
• Living stipend for undergraduate students with high academic performance
• Granted ₩6,000,000/semester, ₩18,000,000 in total

Sinyang Cultural Foundation Scholarship

• Funded by Sinyang Cultural Foundation
• Living stipend for undergraduate students with high academic performance
• Granted ₩500,000/month, ₩6,000,000 in total

Seoul National University Semiconductor Specialization School Semiconductor Track Program

• Supported by Korea Institute for Advancement of Technology(KIAT) grant funded by the Korea Government(Ministry of Education)
• Scholarship provided at selection and graduation
• Granted ₩6,000,000 in total

Hanseong Nobel Scholarship

• Funded by Hanseong Sonjaehan Scholarship Foundation
• Scholarship for high school students prospective in mathematics and science
• Granted ₩5,000,000/year, ₩10,000,000 in total

The Influence of Album Arts on the Perception of Musical Emotion

Taein Song, Gyehun Go, Daewon Kim, Sowon Min, Sunjae Won, Sangeun Cho, Jeongmi Lee

The 63th conference of Korean Society For Cognitive and Biological Psychology, Poster

Can Emotion Concepts be Reflected Well in Text-to-Music Generation Models?

Gyehun Go, Satbyul Han

Korean Society for Music Perception and Cognition(KSMPC) 2025, Poster

Best Poster Award

UMATO: Bridging Local and Global Structures for Reliable Visual Analytics With Dimensionality Reduction

Hyeon Jeon, Kwon Ko, Soohyun Lee, Jake Hyun, Taehyun Yang, Gyehun Go, Jaemin Jo, Jinwook Seo

IEEE Transactions on Visualization & Computer Graphics

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation

Gyehun Go, Satbyul Han, Ahyeon Choi, Eunjin Choi, Juhan Nam, Jeong Mi Park

HCMIR25: 3rd Workshop on Human-Centric Music Information Research at ISMIR’25

Decomposing Complex Visual Comprehension into Atomic Visual Skills for Vision Language Models

Hyunsik Chae, Seungwoo Yoon, Chloe Yewon Chun, Gyehun Go, Yongin Cho, Gyeongmin Lee, Ernest K. Ryu

4th MATH-AI Workshop at NeurIPS’24