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Mun Yong Yi
Full Professor, Industrial and Systems Engineering, Korea Advanced Institute of Science & Technology
Joined
November 2023
Names
Mun Yong Yi
(Preferred)
,
Mun Yong YI
,
Mun Yi
,
Mun Y. Yi
,
Munyong Yi
Emails
****@kaist.ac.kr
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
ORCID
Semantic Scholar
ACL Anthology
Career & Education History
Full Professor
Industrial and Systems Engineering,
Korea Advanced Institute of Science & Technology
(kaist.edu)
2013
–
Present
Associate Professor
Management Science,
University of South Carolina
(sc.edu)
2005
–
2009
Assistant Professor
Management Science,
University of South Carolina
(sc.edu)
1998
–
2004
PhD student
Information Systems,
University of Maryland, College Park
(umd.edu)
1993
–
1998
Advisors, Relations & Conflicts
PhD Advisor
Fred Davis
1995
–
1998
Expertise
Machine Learning
2018
–
Present
Text Analysis
2012
–
Present
Recommendation Systems
2009
–
Present
Publications
A Novel Evaluation Framework for 15-Minute City Using Satellite Imagery
Chanjae Song
,
Seongyeub Chu
,
Jongwoo Kim
,
Mun Yong Yi
Crossref
Readers:
Everyone
Leveraging commonality across multiple tissue slices for enhanced whole slide image classification using graph convolutional networks
Sakonporn Noree
,
Willmer Rafell Quiñones Robles
,
Young Sin Ko
,
Mun Yong Yi
BMC Medical Imaging 2025
Readers:
Everyone
A Novel Evaluation Framework for 15-Minute City Using Satellite Imagery
Chanjae Song
,
SeongYeub Chu
,
Jongwoo Kim
,
Mun Yong Yi
ACM SIGSPATIAL 2025
Readers:
Everyone
Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning
Jongwoo Kim
,
Seongyeub Chu
,
Hyeongmin Park
,
Bryan Wong
,
Keejun Han
,
Mun Yong Yi
Crossref
Readers:
Everyone
RAG-based Unanswerable Question Detection in Clinical Text-to-SQL
Donghee Han
,
Seungjae Lim
,
Mun Yong Yi
Crossref
Readers:
Everyone
Diagnose Like A REAL Pathologist: An Uncertainty-Focused Approach for Trustworthy Multi-Resolution Multiple Instance Learning
Sungrae Hong
,
Sol Lee
,
Jisu Shin
,
Mun Yong Yi
CoRR 2025
Readers:
Everyone
Uncertainty-based Data-wise Label Smoothing for Calibrating Multiple Instance Learning in Histopathology Image Classification
Hyeongmin Park
,
Sungrae Hong
,
Chanjae Song
,
Jongwoo Kim
,
Mun Yong Yi
OpenReview Archive Direct Upload
Readers:
Everyone
MicroMIL: Graph-Based Multiple Instance Learning for Context-Aware Diagnosis with Microscopic Images.
Jongwoo Kim
,
Bryan Wong
,
Huazhu Fu
,
Willmer Rafell Quinones Robles
,
Mun Yong Yi
MICCAI 2025
Readers:
Everyone
Leveraging Pretrained Knowledge at Inference Time: LoRA-Gated Contrastive Decoding for Multilingual Factual Language Generation in Adapted LLMs
Gwangseon Jang
,
Hongseok Choi
,
Chanuk lim
,
Kyong-Ha Lee
,
Mun Yong Yi
ICLR 2026 Poster
Readers:
Everyone
Reasoning-to-Encoder Distillation for Recommendation
Donghee Han
,
Daeyoung Roh
,
A Young Kim
,
Hwanjun Song
,
Mun Yong Yi
ICLR 2026 Conference Withdrawn Submission
Readers:
Everyone
View all 158 publications
Co-Authors
A Young Kim
Ashraf Murtaza
Auk Kim
Beng Ern Low
Bryan Wong
Bumho Lee
Chang Hoo Jeong
Chang-Hoo Jeong
Chang-Hun Lee
Chanjae Song
Chanuk lim
CheonSol Lee
Cho Cho
Christian Bizer
Daehee Kim
Daeyoung Roh
Dapeng Zhao
David Müller
De Liu
Deborah Compeau
DongHee Han
Donghee Han
Donghwan Bae
Dongmin Jang
Dongmin Seo
View all 189 co-authors