Jaemoon Lee

29 papers B 5Misc 2Journal 16Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
A priori estimates on the weak flocking of the Cucker-Smale-Fokker-Planck equation.
Appl. Math. Lett.
Seung-Yeal Ha, Jaemoon Lee, Qinghua Xiao, Fanqin Zeng
2026 J jnl
Scalable Hybrid Learning Techniques for Scientific Data Compression.
IEEE Trans. Parallel Distributed Syst.
Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2025 J jnl
AMPED: Adaptive Multi-objective Projection for balancing Exploration and skill Diversification.
CoRR
Geonwoo Cho, Jaemoon Lee, Jaegyun Im, Subi Lee, Jihwan Lee, Sundong Kim
2025 — conf
Foundation Model for Lossy Compression of Spatiotemporal Scientific Data.
PAKDD (6)
Xiao Li, Jaemoon Lee, Anand Rangarajan, Sanjay Ranka
2025 J jnl
Guaranteed Conditional Diffusion: 3D Block-based Models for Scientific Data Compression.
CoRR
Jaemoon Lee, Xiao Li, Liangji Zhu, Sanjay Ranka, Anand Rangarajan
2025 — conf
Machine Learning Techniques for Data Reduction of Climate Applications.
PAKDD (1)
Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2024 B conf
Attention Based Machine Learning Methods for Data Reduction with Guaranteed Error Bounds.
IEEE Big Data
Xiao Li, Jaemoon Lee, Anand Rangarajan, Sanjay Ranka
2024 J jnl
Attention Based Machine Learning Methods for Data Reduction with Guaranteed Error Bounds.
CoRR
Xiao Li, Jaemoon Lee, Anand Rangarajan, Sanjay Ranka
2024 J jnl
Foundation Model for Lossy Compression of Spatiotemporal Scientific Data.
CoRR
Xiao Li, Jaemoon Lee, Anand Rangarajan, Sanjay Ranka
2024 B conf
Guaranteeing Error Bounds with Preservation of Derived Quantities in Compressive Autoencoders.
DCC
Jaemoon Lee, Anand Rangarajan, Sanjay Ranka
2024 B conf
Hybrid Approaches for Data Reduction of Spatiotemporal Scientific Applications.
DCC
Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2024 J jnl
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring.
CoRR
Qian Gong, Jieyang Chen, Ben Whitney, Xin Liang, Viktor Reshniak, Tania Banerjee, Jaemoon Lee, Anand Rangarajan, Lipeng Wan, Nicolas Vidal, Qing Liu, Ana Gainaru, Norbert Podhorszki, Richard Archibald, Sanjay Ranka, Scott Klasky
2024 J jnl
Machine Learning Techniques for Data Reduction of CFD Applications.
CoRR
Jaemoon Lee, Ki Sung Jung, Qian Gong, Xiao Li, Scott Klasky, Jacqueline Chen, Anand Rangarajan, Sanjay Ranka
2024 J jnl
Machine Learning Techniques for Data Reduction of Climate Applications.
CoRR
Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2023 B conf
Constrained Autoencoders: Incorporating equality constraints in learned scientific data compression.
DCC
Jaemoon Lee, Anand Rangarajan, Sanjay Ranka
2023 Misc conf
Fast Algorithms for Scientific Data Compression.
HiPC
Tania Banerjee, Jaemoon Lee, Jong Choi, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2023 J jnl
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring.
SoftwareX
Qian Gong, Jieyang Chen, Ben Whitney, Xin Liang, Viktor Reshniak, Tania Banerjee, Jaemoon Lee, Anand Rangarajan, Lipeng Wan, Nicolas Vidal, Qing Liu, Ana Gainaru, Norbert Podhorszki, Richard Archibald, Sanjay Ranka, Scott Klasky
2023 — conf
Nonlinear constraint satisfaction for compressive autoencoders using instance-specific linear operators.
IC3
Jaemoon Lee, Anand Rangarajan, Sanjay Ranka
2023 — conf
Nonlinear-by-Linear: Guaranteeing Error Bounds in Compressive Autoencoders.
IC3
Jaemoon Lee, Anand Rangarajan, Sanjay Ranka
2023 B conf
Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest.
e-Science
Tania Banerjee, Jaemoon Lee, Jong Choi, Qian Gong, Jieyang Chen, Choong-Seock Chang, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2022 Misc conf
An Algorithmic and Software Pipeline for Very Large Scale Scientific Data Compression with Error Guarantees.
HIPC
Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Ruonan Wang, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2022 J jnl
Expressing linear equality constraints in feedforward neural networks.
CoRR
Anand Rangarajan, Pan He, Jaemoon Lee, Tania Banerjee, Sanjay Ranka
2022 J jnl
Scalable Hybrid Learning Techniques for Scientific Data Compression.
CoRR
Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2021 — conf
Hybrid Generative Models for Two-Dimensional Datasets.
ICANN (2)
Hoda Shajari, Jaemoon Lee, Sanjay Ranka, Anand Rangarajan
2021 J jnl
Hybrid Generative Models for Two-Dimensional Datasets.
CoRR
Hoda Shajari, Jaemoon Lee, Sanjay Ranka, Anand Rangarajan
2020 J jnl
Antenna Tracking Techniques for Long Range Air-to-Ground Communication Systems Using a Monopulse Method.
IEEE Access
Jaesin Kim, Jaemoon Lee, Inkyu Lee
2019 J jnl
A Hidden Variables Approach to Multilabel Logistic Regression.
CoRR
Jaemoon Lee, Hoda Shajari
2016 — conf
Comparison between multimode-monopulse and step-tracking techniques for a UAV satellite terminal.
WTS
Jaemoon Lee, Jaesung Lim, Eunki Kim
2013 J jnl
Equivalent Circuit Modeling of PEM Fuel Cell Degradation Combined With a LFRC.
IEEE Trans. Ind. Electron.
Jonghoon Kim, Jaemoon Lee, Bo-Hyung Cho