Kyongsik Yun

According to our database, Kyongsik Yun authored at least 16 papers between 2016 and 2023.

Collaborative distances:

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

2023

Constraint-Informed Learning for Warm Starting Trajectory Optimization.

Julia Briden, Changrak Choi, Kyongsik Yun, Richard Linares, Abhishek Cauligi

CoRR, 2023

2022

Remote estimation of geologic composition using interferometric synthetic-aperture radar in California's Central Valley.

Kyongsik Yun, Kyra Adams, John T. Reager, Zhen Liu, Caitlyn Chavez, Michael J. Turmon, Thomas Lu

CoRR, 2022

Neurosymbolic hybrid approach to driver collision warning.

Kyongsik Yun, Thomas Lu, Alexander Huyen, Patrick Hammer, Pei Wang

CoRR, 2022

Machine Learning Based Relative Orbit Transfer for Swarm Spacecraft Motion Planning.

Alex Sabol, Kyongsik Yun, Muhammad Adil, Changrak Choi, Ramtin Madani

CoRR, 2022

Explainability Tools Enabling Deep Learning in Future In-Situ Real-Time Planetary Explorations.

Daniel Lundström, Alexander Huyen, Arya Mevada, Kyongsik Yun, Thomas Lu

CoRR, 2022

2021

Time Series Comparisons in Deep Space Network.

Kyongsik Yun, Rishi Verma, Umaa Rebbapragada

CoRR, 2021

2020

Multi-Agent Motion Planning using Deep Learning for Space Applications.

Kyongsik Yun, Changrak Choi, Ryan Alimo, Anthony Davis, Linda Forster, Amir Rahmani, Muhammad Adil, Ramtin Madani

CoRR, 2020

Transforming unstructured voice and text data into insight for paramedic emergency service using recurrent and convolutional neural networks.

Kyongsik Yun, Thomas Lu, Alexander Huyen

CoRR, 2020

2019

Smoke Sky - Exploring New Frontiers of Unmanned Aerial Systems for Wildland Fire Science and Applications.

E. Natasha Stavros, Ali Agha, Allen Sirota, Marco B. Quadrelli, Kamak Ebadi, Kyongsik Yun

CoRR, 2019

Improved visible to IR image transformation using synthetic data augmentation with cycle-consistent adversarial networks.

Kyongsik Yun, Kevin Yu, Joseph Osborne, Sarah Eldin, Luan Nguyen, Alexander Huyen, Thomas Lu

CoRR, 2019

Small Target Detection for Search and Rescue Operations using Distributed Deep Learning and Synthetic Data Generation.

Kyongsik Yun, Luan Nguyen, Tuan Nguyen, Doyoung Kim, Sarah Eldin, Alexander Huyen, Thomas Lu, Edward Chow

CoRR, 2019

2018

Deep Neural Networks for Pattern Recognition.

Kyongsik Yun, Alexander Huyen, Thomas Lu

CoRR, 2018

Occluded object reconstruction for first responders with augmented reality glasses using conditional generative adversarial networks.

Kyongsik Yun, Thomas Lu, Edward Chow

CoRR, 2018

Automatic speech recognition for launch control center communication using recurrent neural networks with data augmentation and custom language model.

Kyongsik Yun, Joseph Osborne, Madison Lee, Thomas Lu, Edward Chow

CoRR, 2018

Predicting Rapid Fire Growth (Flashover) Using Conditional Generative Adversarial Networks.

Kyongsik Yun, Jessi Bustos, Thomas Lu

Proceedings of the Intelligent Robotics and Industrial Applications using Computer Vision 2018, Burlingame, CA, USA, January 28, 2018

2016

Improved target recognition response using collaborative brain-computer interfaces.

Kyongsik Yun, Adrian Stoica

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016