Jaemoon Lee

According to our database, Jaemoon Lee authored at least 18 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring.

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

SoftwareX, December, 2023

Nonlinear constraint satisfaction for compressive autoencoders using instance-specific linear operators.

Jaemoon Lee, Anand Rangarajan, Sanjay Ranka

Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing, 2023

Nonlinear-by-Linear: Guaranteeing Error Bounds in Compressive Autoencoders.

Jaemoon Lee, Anand Rangarajan, Sanjay Ranka

Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing, 2023

Fast Algorithms for Scientific Data Compression.

Tania Banerjee, Jaemoon Lee, Jong Choi, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka

Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023

Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest.

Tania Banerjee, Jaemoon Lee, Jong Choi, Qian Gong, Jieyang Chen, Choong-Seock Chang, Scott Klasky, Anand Rangarajan, Sanjay Ranka

Proceedings of the 19th IEEE International Conference on e-Science, 2023

Constrained Autoencoders: Incorporating equality constraints in learned scientific data compression.

Jaemoon Lee, Anand Rangarajan, Sanjay Ranka

Proceedings of the Data Compression Conference, 2023

2022

Scalable Hybrid Learning Techniques for Scientific Data Compression.

Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka

CoRR, 2022

Expressing linear equality constraints in feedforward neural networks.

Anand Rangarajan, Pan He, Jaemoon Lee, Tania Banerjee, Sanjay Ranka

CoRR, 2022

An Algorithmic and Software Pipeline for Very Large Scale Scientific Data Compression with Error Guarantees.

Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Ruonan Wang, Scott Klasky, Anand Rangarajan, Sanjay Ranka

Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022

2021

Hybrid Generative Models for Two-Dimensional Datasets.

Hoda Shajari, Jaemoon Lee, Sanjay Ranka, Anand Rangarajan

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

Antenna Tracking Techniques for Long Range Air-to-Ground Communication Systems Using a Monopulse Method.

Jaesin Kim, Jaemoon Lee, Inkyu Lee

IEEE Access, 2020

2019

A Hidden Variables Approach to Multilabel Logistic Regression.

Jaemoon Lee, Hoda Shajari

CoRR, 2019

2016

Comparison between multimode-monopulse and step-tracking techniques for a UAV satellite terminal.

Jaemoon Lee, Jaesung Lim, Eunki Kim

Proceedings of the 2016 Wireless Telecommunications Symposium, 2016

2014

A mathematical perspective of single-channel pseudo-monopulse tracking receiver design.

Jaesin Kim, Jinwoo Jung, Jae-Moon Lee, Ui-Young Pak

Proceedings of the International Conference on Information and Communication Technology Convergence, 2014

2013

Equivalent Circuit Modeling of PEM Fuel Cell Degradation Combined With a LFRC.

Jonghoon Kim, Jaemoon Lee, Bo-Hyung Cho

IEEE Trans. Ind. Electron., 2013

2009

A fast algorithm for simulation of flocking behavior.

Jae-Moon Lee, Se Hong Cho, Rafael A. Calvo

Proceedings of the 2009 International IEEE Consumer Electronics Society's Games Innovations Conference, 2009

2005

Scalable document classification.

Jae-Moon Lee, Rafael A. Calvo

Intell. Data Anal., 2005

2004

Managing Content with Automatic Document Classification.

Rafael A. Calvo, Jae-Moon Lee, Xiaobo Li

J. Digit. Inf., 2004