Scholar
Donghwan Kim
Google Scholar ID: G74RcZQAAAAJ
KAIST
Optimization for Machine Learning
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
1,503
H-index
15
i10-index
22
Publications
20
Co-authors
17
list available
Publications
16 items
When LLMs Sit Above Diagnostic Tools: Unrealized Complementarity in Industrial Fault Diagnosis
2026
Cited
0
Are Diversity Metrics Measuring Diversity? A Capability-Controlled Audit of Majority-Vote Gain in LLM Ensembles
2026
Cited
0
Evaluation Ability Does Not Imply Optimization Utility: LLM-as-a-Judge Signals in Closed-Loop Table Recognition
2026
Cited
0
Understanding Schedule-Free Methods in Nonconvex Optimization: Rate Guarantees and Escaping Saddles
2026
Cited
0
A Kernel Fisher Discriminant Analysis-Based Tree Ensemble Classifier: KFDA Forest
2026
Cited
0
Characterization of Multi-Model Agentic AI Systems on General Tasks via Trace-Driven Simulation
2026
Cited
0
MahaVar: OOD Detection via Class-wise Mahalanobis Distance Variance under Neural Collapse
2026
Cited
0
PhysHanDI: Physics-Based Reconstruction of Hand-Deformable Object Interactions
2026
Cited
0
Load more
Co-authors
10 total
Jeffrey Fessler
Professor of EECS, University of Michigan
Bruno De Man
Chief Scientist, GE Research
Lin Fu
GE Global Research
Kyuwon Kim
KAIST
Jiseok Chae
KAIST
Ahmet Alacaoglu
University of British Columbia
Stephen Wright
Department of Computer Sciences and Wisconsin Institute for Discovery, University of Wisconsin
Kyungsang Kim
Assistant Professor at Harvard Medical School and Mass General Hospital
