Scholar
Jy-yong Sohn
Google Scholar ID: Cs75s1MAAAAJ
Yonsei University
Citations & Impact
Citations
1,926
H-index
16
i10-index
25
Publications
20
Co-authors
24
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Published multiple papers at top-tier conferences including NeurIPS 2025, ICML 2025, AISTATS 2025, UAI 2024, and ICML 2023
- Notable works include: 'Enhancing Compositional Reasoning in CLIP via Reconstruction and Alignment of Text Descriptions', 'Looped Transformers as Programmable Computers', etc.
- Awarded the NRF Korea Basic Research Lab grant (2024–2027)
- Recipient of NRF Korea Outstanding Young Scientist award (2024–2027)
- Received Excellence in Teaching Award from Yonsei University (2023)
- Delivered invited talks on foundation models, contrastive learning, LLMs, and generative models at institutions including KIAS, KICS, KSIAM, KAIA, and ETRI
Background
- Professor in the Department of Applied Statistics at Yonsei University
- Head of the Information Theory and Machine Learning Lab (ITML)
- Research focuses on the intersection of information theory and machine learning
- Broadly explores machine learning and AI using mathematical tools from information theory, optimization, learning theory, and probability & statistics
- Currently interested in theoretical and algorithmic aspects of foundation models
