Managing Content with Automatic Document Classification. - Rafael A. Calvo; Jae-Moon Lee; Xiaobo Li (J. Digit. Inf., 2004)

Scalable document classification. - Jae-Moon Lee; Rafael A. Calvo (Intell. Data Anal., 2005)

A fast algorithm for simulation of flocking behavior. - Jae-Moon Lee; Se Hong Cho; Rafael A. Calvo (ICE-GIC, 2009)

Equivalent Circuit Modeling of PEM Fuel Cell Degradation Combined With a LFRC. - Jonghoon Kim; Jaemoon Lee; Bo-Hyung Cho (IEEE Trans. Ind. Electron., 2013)

A mathematical perspective of single-channel pseudo-monopulse tracking receiver design. - Jaesin Kim; Jinwoo Jung; Jae-Moon Lee; Ui-Young Pak (ICTC, 2014)

Comparison between multimode-monopulse and step-tracking techniques for a UAV satellite terminal. - Jaemoon Lee; Jaesung Lim 001; Eunki Kim (WTS, 2016)

A Hidden Variables Approach to Multilabel Logistic Regression. - Jaemoon Lee; Hoda Shajari (CoRR, 2019)

Antenna Tracking Techniques for Long Range Air-to-Ground Communication Systems Using a Monopulse Method. - Jaesin Kim; Jaemoon Lee; Inkyu Lee (IEEE Access, 2020)

Hybrid Generative Models for Two-Dimensional Datasets. - Hoda Shajari; Jaemoon Lee; Sanjay Ranka; Anand Rangarajan 001 (ICANN (2), 2021)

An Algorithmic and Software Pipeline for Very Large Scale Scientific Data Compression with Error Guarantees. - Tania Banerjee; Jong Choi 001; Jaemoon Lee; Qian Gong; Ruonan Wang; Scott Klasky; Anand Rangarajan 001; Sanjay Ranka (HIPC, 2022)

Expressing linear equality constraints in feedforward neural networks. - Anand Rangarajan 001; Pan He; Jaemoon Lee; Tania Banerjee; Sanjay Ranka (CoRR, 2022)

Scalable Hybrid Learning Techniques for Scientific Data Compression. - Tania Banerjee; Jong Choi 001; Jaemoon Lee; Qian Gong; Jieyang Chen; Scott Klasky; Anand Rangarajan 001; Sanjay Ranka (CoRR, 2022)

Constrained Autoencoders: Incorporating equality constraints in learned scientific data compression. - Jaemoon Lee; Anand Rangarajan 001; Sanjay Ranka (DCC, 2023)

Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest. - Tania Banerjee; Jaemoon Lee; Jong Choi 001; Qian Gong; Jieyang Chen; Choong-Seock Chang; Scott Klasky; Anand Rangarajan 001; Sanjay Ranka (e-Science, 2023)

Fast Algorithms for Scientific Data Compression. - Tania Banerjee; Jaemoon Lee; Jong Choi 001; Qian Gong; Jieyang Chen; Scott Klasky; Anand Rangarajan 001; Sanjay Ranka (HiPC, 2023)

Nonlinear-by-Linear: Guaranteeing Error Bounds in Compressive Autoencoders. - Jaemoon Lee; Anand Rangarajan 001; Sanjay Ranka (IC3, 2023)

Nonlinear constraint satisfaction for compressive autoencoders using instance-specific linear operators. - Jaemoon Lee; Anand Rangarajan 001; Sanjay Ranka (IC3, 2023)

MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring. - Qian Gong; Jieyang Chen; Ben Whitney; Xin Liang 001; Viktor Reshniak; Tania Banerjee; Jaemoon Lee; Anand Rangarajan 001; Lipeng Wan 001; Nicolas Vidal 003; Qing Liu 002; Ana Gainaru; et al. (SoftwareX, 2023)

Attention Based Machine Learning Methods for Data Reduction with Guaranteed Error Bounds. - Xiao Li; Jaemoon Lee; Anand Rangarajan 001; Sanjay Ranka (IEEE Big Data, 2024)

Guaranteeing Error Bounds with Preservation of Derived Quantities in Compressive Autoencoders. - Jaemoon Lee; Anand Rangarajan 001; Sanjay Ranka (DCC, 2024)

Hybrid Approaches for Data Reduction of Spatiotemporal Scientific Applications. - Xiao Li; Qian Gong; Jaemoon Lee; Scott Klasky; Anand Rangarajan 001; Sanjay Ranka (DCC, 2024)

Machine Learning Techniques for Data Reduction of CFD Applications. - Jaemoon Lee; Ki Sung Jung; Qian Gong; Xiao Li; Scott Klasky; Jacqueline Chen; Anand Rangarajan 001; Sanjay Ranka (CoRR, 2024)

Machine Learning Techniques for Data Reduction of Climate Applications. - Xiao Li; Qian Gong; Jaemoon Lee; Scott Klasky; Anand Rangarajan 001; Sanjay Ranka (PAKDD (1), 2025)

Foundation Model for Lossy Compression of Spatiotemporal Scientific Data. - Xiao Li; Jaemoon Lee; Anand Rangarajan 001; Sanjay Ranka (PAKDD (6), 2025)

Guaranteed Conditional Diffusion: 3D Block-based Models for Scientific Data Compression. - Jaemoon Lee; Xiao Li; Liangji Zhu; Sanjay Ranka; Anand Rangarajan 001 (CoRR, 2025)

AMPED: Adaptive Multi-objective Projection for balancing Exploration and skill Diversification. - Geonwoo Cho; Jaemoon Lee; Jaegyun Im; Subi Lee; Jihwan Lee; Sundong Kim (CoRR, 2025)