Improved target recognition response using collaborative brain-computer interfaces. - Kyongsik Yun; Adrian Stoica (SMC, 2016)

Predicting Rapid Fire Growth (Flashover) Using Conditional Generative Adversarial Networks. - Kyongsik Yun; Jessi Bustos; Thomas Lu (IRIACV, 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)

Occluded object reconstruction for first responders with augmented reality glasses using conditional generative adversarial networks. - Kyongsik Yun; Thomas Lu; Edward Chow (CoRR, 2018)

Deep Neural Networks for Pattern Recognition. - Kyongsik Yun; Alexander Huyen; Thomas Lu (CoRR, 2018)

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)

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)

Smoke Sky - Exploring New Frontiers of Unmanned Aerial Systems for Wildland Fire Science and Applications. - E. Natasha Stavros 001; Ali Agha; Allen Sirota; Marco B. Quadrelli; Kamak Ebadi; Kyongsik Yun (CoRR, 2019)

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)

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)

Time Series Comparisons in Deep Space Network. - Kyongsik Yun; Rishi Verma; Umaa Rebbapragada (CoRR, 2021)

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)

Machine Learning Based Relative Orbit Transfer for Swarm Spacecraft Motion Planning. - Alex Sabol; Kyongsik Yun; Muhammad Adil; Changrak Choi; Ramtin Madani (CoRR, 2022)

Neurosymbolic hybrid approach to driver collision warning. - Kyongsik Yun; Thomas Lu; Alexander Huyen; Patrick Hammer; Pei Wang 002 (CoRR, 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)

Constraint-Informed Learning for Warm Starting Trajectory Optimization. - Julia Briden; Changrak Choi; Kyongsik Yun; Richard Linares; Abhishek Cauligi (CoRR, 2023)

Development and Application of Self-Supervised Machine Learning for Smoke Plume and Active Fire Identification from the FIREX-AQ Datasets. - Nicholas LaHaye; Anistasija Easley; Kyongsik Yun; Huikyo Lee; Erik Linstead; Michael J. Garay; Olga V. Kalashnikova (CoRR, 2025)