Kyongsik Yun - RankMe

19 papers B 1Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Development and Application of Self-Supervised Machine Learning for Smoke Plume and Active Fire Identification from the FIREX-AQ Datasets. CoRR Nicholas LaHaye, Anistasija Easley, Kyongsik Yun, Huikyo Lee, Erik Linstead, Michael J. Garay, Olga V. Kalashnikova
2025	J	`jnl`	Enhancing Fault-Tolerant Space Computing: Guidance Navigation and Control (GNC) and Landing Vision System (LVS) Implementations on Next-Gen Multi-Core Processors. CoRR Kyongsik Yun, David Bayard, Gerik Kubiak, Austin Owens, Andrew Johnson, Ryan Johnson, Dan Scharf, Thomas Lu
2023	J	`jnl`	Constraint-Informed Learning for Warm Starting Trajectory Optimization. CoRR Julia Briden, Changrak Choi, Kyongsik Yun, Richard Linares, Abhishek Cauligi
2022	J	`jnl`	Explainability Tools Enabling Deep Learning in Future In-Situ Real-Time Planetary Explorations. CoRR Daniel Lundström, Alexander Huyen, Arya Mevada, Kyongsik Yun, Thomas Lu
2022	J	`jnl`	Machine Learning Based Relative Orbit Transfer for Swarm Spacecraft Motion Planning. CoRR Alex Sabol, Kyongsik Yun, Muhammad Adil, Changrak Choi, Ramtin Madani
2022	J	`jnl`	Neurosymbolic hybrid approach to driver collision warning. CoRR Kyongsik Yun, Thomas Lu, Alexander Huyen, Patrick Hammer, Pei Wang
2022	J	`jnl`	Remote estimation of geologic composition using interferometric synthetic-aperture radar in California's Central Valley. CoRR Kyongsik Yun, Kyra Adams, John T. Reager, Zhen Liu, Caitlyn Chavez, Michael J. Turmon, Thomas Lu
2021	J	`jnl`	Time Series Comparisons in Deep Space Network. CoRR Kyongsik Yun, Rishi Verma, Umaa Rebbapragada
2020	J	`jnl`	Multi-Agent Motion Planning using Deep Learning for Space Applications. CoRR Kyongsik Yun, Changrak Choi, Ryan Alimo, Anthony Davis, Linda Forster, Amir Rahmani, Muhammad Adil, Ramtin Madani
2020	J	`jnl`	Transforming unstructured voice and text data into insight for paramedic emergency service using recurrent and convolutional neural networks. CoRR Kyongsik Yun, Thomas Lu, Alexander Huyen
2019	J	`jnl`	Improved visible to IR image transformation using synthetic data augmentation with cycle-consistent adversarial networks. CoRR Kyongsik Yun, Kevin Yu, Joseph Osborne, Sarah Eldin, Luan Nguyen, Alexander Huyen, Thomas Lu
2019	J	`jnl`	Small Target Detection for Search and Rescue Operations using Distributed Deep Learning and Synthetic Data Generation. CoRR Kyongsik Yun, Luan Nguyen, Tuan Nguyen, Doyoung Kim, Sarah Eldin, Alexander Huyen, Thomas Lu, Edward Chow
2019	J	`jnl`	Smoke Sky - Exploring New Frontiers of Unmanned Aerial Systems for Wildland Fire Science and Applications. CoRR E. Natasha Stavros, Ali Agha, Allen Sirota, Marco B. Quadrelli, Kamak Ebadi, Kyongsik Yun
2018	J	`jnl`	Automatic speech recognition for launch control center communication using recurrent neural networks with data augmentation and custom language model. CoRR Kyongsik Yun, Joseph Osborne, Madison Lee, Thomas Lu, Edward Chow
2018	J	`jnl`	Deep Neural Networks for Pattern Recognition. CoRR Kyongsik Yun, Alexander Huyen, Thomas Lu
2018	J	`jnl`	Occluded object reconstruction for first responders with augmented reality glasses using conditional generative adversarial networks. CoRR Kyongsik Yun, Thomas Lu, Edward Chow
2018	—	`conf`	Predicting Rapid Fire Growth (Flashover) Using Conditional Generative Adversarial Networks. IRIACV Kyongsik Yun, Jessi Bustos, Thomas Lu
2018	J	`jnl`	Predicting Rapid Fire Growth (Flashover) Using Conditional Generative Adversarial Networks. CoRR Kyongsik Yun, Jessi Bustos, Thomas Lu
2016	B	`conf`	Improved target recognition response using collaborative brain-computer interfaces. SMC Kyongsik Yun, Adrian Stoica