Scholar
Jaeho Lee
Google Scholar ID: t91zoQMAAAAJ
POSTECH
Machine Learning
Efficient AI
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Citations & Impact
All-time
Citations
2,594
H-index
17
i10-index
23
Publications
20
Co-authors
8
list available
Contact
Email
jaeho.lee@postech.ac.kr
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Publications
9 items
Learning to Ask: Information Acquisition for SLM-LLM Collaboration, under a budget
2026
Cited
0
When Less Data Favors Smaller Teachers: Rethinking Teacher Capacity and Data Selection for Knowledge Distillation
2026
Cited
0
KV-COBRA: KV Cache Compression via Co-Optimized Bit-Rank Allocation
2026
Cited
0
Token-Oriented Semantic Communication with Pretrained Vision Transformers
2026
Cited
0
Learned Image Compression for Vision-Language-Action Models
2026
Cited
0
Multi-frame Restoration for High-rate Lissajous Confocal Laser Endomicroscopy
2026
Cited
0
Beware of the Batch Size: Hyperparameter Bias in Evaluating LoRA
2026
Cited
0
Over-Alignment vs Over-Fitting: The Role of Feature Learning Strength in Generalization
2026
Cited
0
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Resume
Research Experience
- Workplace: POSTECH EE
- Position: Researcher/Teacher
Background
- Research Interests: Efficient Machine Learning
- Professional Field: Algorithm Design and Theoretical Proving
- About: Works and teaches at POSTECH EE, leading the EffL Lab.
Miscellany
- Personal Identity: Proud husband
Co-authors
8 total
Jinwoo Shin
ICT Endowed Chair Professor
Sangwoo Mo
Assistant Professor, POSTECH
Sejun Park
Assistant Professor, Korea University
Maxim Raginsky
Professor of Electrical and Computer Engineering, University of Illinois, Urbana-Champaign
Jihoon Tack
Ph.D. student, KAIST
Namhoon Lee
POSTECH
Chulhee Yun
Ewon Assistant Professor, KAIST Kim Jaechul Graduate School of AI
Jonathan Richard Schwarz
Thomson Reuters