Stealthy behavior simulations based on cognitive data. - Taeyeong Choi; Hyeon-Suk Na (ICMLC, 2015)

Automated synthesis of scalable algorithms for inferring non-local properties to assist in multi-robot teaming. - Taeyeong Choi; Theodore P. Pavlic; Andréa W. Richa (CASE, 2017)

How far should I watch? Quantifying the effect of various observational capabilities on long-range situational awareness in multi-robot teams. - Sehyeok Kang; Taeyeong Choi; Theodore P. Pavlic (ACSOS, 2020)

Learning local behavioral sequences to better infer non-local properties in real multi-robot systems. - Taeyeong Choi; Sehyeok Kang; Theodore P. Pavlic (ICRA, 2020)

Automatic Discovery of Motion Patterns that Improve Learning Rate in Communication-Limited Multi-Robot Systems. - Taeyeong Choi; Theodore P. Pavlic (MFI, 2020)

Deep Learning Approaches for Inferring Collective Macrostates from Individual Observations in Natural and Artificial Multi-Agent Systems Under Realistic Constraints. - Taeyeong Choi (2020)

Identification of Abnormal States in Videos of Ants Undergoing Social Phase Change. - Taeyeong Choi; Benjamin Pyenson; Juergen Liebig; Theodore P. Pavlic (AAAI, 2021)

Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning. - Taeyeong Choi; Grzegorz Cielniak (ECMR, 2021)

Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies. - Taeyeong Choi; Owen Would; Adrian Salazar Gomez; Grzegorz Cielniak (ICRA, 2022)

Beyond tracking: using deep learning to discover novel interactions in biological swarms. - Taeyeong Choi; Benjamin Pyenson; Juergen Liebig; Theodore P. Pavlic (Artif. Life Robotics, 2022)

DAVIS-Ag: A Synthetic Plant Dataset for Developing Domain-Inspired Active Vision in Agricultural Robots. - Taeyeong Choi; Dario Guevara; Grisha Bandodkar; Zifei Cheng; Chonghan Wang; Brian N. Bailey; Mason Earles; Xin Liu 002 (CoRR, 2023)

"Allot?" is "A Lot!" Towards Developing More Generalized Speech Recognition System for Accessible Communication. - Grisha Bandodkar; Shyam Agarwal; Athul Krishna Sughosh; Sahilbir Singh; Taeyeong Choi (AAAI, 2024)

EnColor: Improving Visual Accessibility with a Deep Encoder-Decoder Image Corrector for Color Vision Deficient Individuals. - Satyam Goyal; Kavya Sasikumar; Rohan Sheth; Akash Seelam; Taeyeong Choi; Xin Liu (AAAI, 2024)

DAVIS-Ag: A Synthetic Plant Dataset for Prototyping Domain-Inspired Active Vision in Agricultural Robots. - Taeyeong Choi; Dario Guevara; Zifei Cheng; Grisha Bandodkar; Chonghan Wang; Brian N. Bailey; Mason Earles; Xin Liu 002 (CASE, 2024)

Channel randomisation: Self-supervised representation learning for reliable visual anomaly detection in speciality crops. - Taeyeong Choi; Owen Would; Adrian Salazar Gomez; Xin Liu; Grzegorz Cielniak (Comput. Electron. Agric., 2024)

Towards Safer Mixed Reality with Auditory Warnings for Uncontrolled Indoor Settings. - Nasim Ahmed; Taeyeong Choi; Xinyue Zhang; Sahidul Islam; Rifatul Islam (VR Workshops, 2025)

Towards Fully Automated Decision-Making Systems for Greenhouse Control: Challenges and Opportunities. - Yongshuai Liu; Taeyeong Choi; Xin Liu (CoRR, 2025)

CA-Cut: Crop-Aligned Cutout for Data Augmentation to Learn More Robust Under-Canopy Navigation. - Robel Mamo; Taeyeong Choi (CoRR, 2025)