Yeonwoo Jeong

< Researcher • Engineer • Optimizer />

Research Publications

Peer-reviewed research contributions in machine learning, optimization, and computer vision

NeurIPS 2025 research visualization
NEXT-EVAL: Next Evaluation of Traditional and LLM Web Data Record Extraction
S. Kim, N. Kim, and Y. Jeong
NeurIPS 2025
in review
PaperCodeBibTeXDemo
ICBC 2023 research visualization
Efficient liquidity providing via margin liquidity
Y. Jeong, C. Jeoung, H. Jeong, S. Han, and J. Kim
ICBC 2023
PaperBibTeX
ICML 2023 research visualization
Efficient Latency-aware CNN Depth Compression via Two-stage Dynamic Programming
J. Kim, Y. Jeong, D. Lee, and H. O. Song
ICML 2023
PaperCodeBibTeX
AISTATS 2022 research visualization
Optimal channel selection with discrete QCQP
Y. Jeong, D. Lee, G. An, C. Son, and H. O. Song
AISTATS 2022
PaperCodeBibTeX
ICML 2019 disentanglement visualization
Learning Discrete and Continuous Factors of Data via Alternating Disentanglement
Y. Jeong, and H. O. Song
ICML 2019
PaperSuppCodeBibTeXVideo
CVPR 2019 cascading optimization visualization
End-to-End Efficient Representation Learning via Cascading Combinatorial Optimization
Y. Jeong, Y. Kim, and H. O. Song
CVPR 2019
PaperSuppCodeBibTeX
ICML 2018 quantizable representations
Efficient End-to-end Learning for Quantizable Representations
Y. Jeong, and H. O. Song
ICML 2018
PaperCodeBibTeXVideo