Hankuk University of Foreign Studies Prof. Lee Jun-hyun's Team Secures 4 Papers Across ICLR, ICML, and NeurIPS 2026
Four research papers corresponding-authored by Professor Lee Jun-hyun of the Department of Computer Science and Engineering at HUFS have been officially accepte
Hankuk University of Foreign Studies (HUFS) announced on October 8, 2026, that four research papers corresponding-authored by Professor Lee Jun-hyun of the Department of Computer Science and Engineering have been accepted across the world's top three international artificial intelligence and machine learning conferences.
Image source: 이뉴스투데이 / 한국외국어대학교
This accomplishment is particularly noteworthy for demonstrating consistent research contributions across all three flagship peer-reviewed AI venues globally.
Paper Acceptance Breakdown Across Top AI Conferences (ICLR, ICML, and NeurIPS 2026)
Widely recognized in academia as the premier "Big Three" AI conferences, the International Conference on Learning Representations (ICLR), the International Conference on Machine Learning (ICML), and the Conference on Neural Information Processing Systems (NeurIPS) serve as primary venues where leading global academic institutions and tech companies present cutting-edge machine learning theory and fundamental algorithms each year.
The detailed distribution of accepted papers for Professor Lee Jun-hyun's research team in 2026 is as follows:
- International Conference on Learning Representations (ICLR 2026): 1 paper accepted
- International Conference on Machine Learning (ICML 2026): 1 paper accepted
- Conference on Neural Information Processing Systems (NeurIPS 2026): 2 papers accepted
The team published one paper at ICLR 2026 and one at ICML 2026, alongside two papers at NeurIPS 2026, securing a total of four official acceptances as corresponding author within the same year.
Academic Significance and Outlook
In the global artificial intelligence research landscape, ICLR, ICML, and NeurIPS maintain highly rigorous peer-review processes with low acceptance rates, serving as a standard benchmark for measuring foundational research capability and scholarly impact.
Securing multiple acceptances across all three top-tier AI venues within a single academic cycle highlights the growing competitiveness of foundational AI research from South Korean universities. Specific paper titles and algorithmic details are expected to be unveiled alongside subsequent conference proceedings and official archive publications.
Sources
- eToday: 한국외대 이준현 교수, 세계 3대 AI 학회에 논문 4편 채택
- E-News Today: 한국외대 이준현 교수, 세계 3대 AI 학회에 논문 4편 채택 ‘쾌거’