Scholar
Chulhee Yun
Google Scholar ID: Ukl64ggAAAAJ
Ewon Assistant Professor, KAIST Kim Jaechul Graduate School of AI
Citations & Impact
Citations
1,932
H-index
17
i10-index
24
Publications
20
Co-authors
32
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Three papers accepted to NeurIPS 2025; serving as Social Chair for ICML 2026; keynote speaker at MSML 2025; four papers accepted to the 3rd Workshop on High-dimensional Learning Dynamics (HiLD) at ICML 2025; four papers accepted to ICML 2025; recipient of KAIA Outstanding Paper Award at KAIA Summer Conference 2025 (CKAIA 2025); recipient of KT Best Paper Award at KAIA Summer Conference 2025 (CKAIA 2025).
Research Experience
- Directs the OptiML Laboratory at KAIST AI; holds a joint affiliation with KAIST Graduate School of AI for Math and is a part-time Visiting Faculty Researcher at Google Research starting September 2025.
Education
- PhD in Elec. Eng. & Comp. Sci., 2016–2021, Massachusetts Institute of Technology, supervised by Prof. Suvrit Sra and Prof. Ali Jadbabaie; MSc in Electrical Engineering, 2014–2016, Stanford University, advised by Prof. John Duchi; BSc in Electrical Engineering, 2007–2014, KAIST.
Background
- Research Interests: Deep Learning Theory, Optimization, Machine Learning Theory. Background: Ewon Assistant Professor at KAIST Kim Jaechul Graduate School of AI, also holding a joint affiliation with KAIST Graduate School of AI for Math and a part-time Visiting Faculty Researcher position at Google Research since September 2025. Directs the Optimization & Machine Learning (OptiML) Laboratory at KAIST AI.
Miscellany
- Seeking self-motivated graduate students with strong mathematical backgrounds; encouraging undergraduate students to apply for summer/winter KAIST AI Research Internship (KAIRI) programs.
