Dynamic stability of variable stiffness running. - Jae Yun Jun; Jonathan E. Clark (ICRA, 2009)

Compliant Leg Shape, Reduced-Order Models and Dynamic Running. - Jae Yun Jun; Duncan W. Haldane; Jonathan E. Clark (ISER, 2010)

Effect of rolling on running performance. - Jae Yun Jun; Jonathan E. Clark (ICRA, 2011)

A reduced-order dynamical model for running with curved legs. - Jae Yun Jun; Jonathan E. Clark (ICRA, 2012)

A trajectory tracking control design for a skid-steering mobile robot by adapting its desired instantaneous center of rotation. - Jae Yun Jun; Minh-Duc Hua; Faïz Ben Amar (CDC, 2014)

Stability-based planning and trajectory tracking of a mobile manipulator over uneven terrains. - Jae-Yun Jun; Vincent Padois; Faïz BenAmar (ARSO, 2015)

Pose estimation-based path planning for a tracked mobile robot traversing uneven terrains. - Jae-Yun Jun; Jean-Philippe Saut; Faïz BenAmar (Robotics Auton. Syst., 2016)

Hedging option contracts with locally weighted regression, functional data analysis, and Markov chain Monte Carlo techniques. - Jae-Yun Jun; Yves Rakotondratsimba (ICAIIC, 2020)

V2X Architecture for Autonomous Platoon Management In Urban Environment. - Naila Bouchemal; Jae-Yun Jun (CITS, 2021)

End-to-end autonomous driving using the Ape-X algorithm in Carla simulation environment. - Maxence Hussonnois; Jae-Yun Jun (ICUFN, 2022)

In Search of Distance Functions That Improve Autoencoder Performance for Intrusion Detection. - Rémi Bouchayer; Jae-Yun Jun; Hakima Chaouchi; Philippe Millet (ICUFN, 2023)

A Multi-Agent Intrusion Detection System Optimized by a Deep Reinforcement Learning Approach with a Dataset Enlarged Using a Generative Model to Reduce the Bias Effect. - Matthieu Mouyart; Guilherme Medeiros Machado; Jae-Yun Jun (J. Sens. Actuator Networks, 2023)

Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning. - Maxime Toquebiau; Nicolas Bredèche; Faïz Ben Amar; Jae-Yun Jun (AAMAS, 2024)

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning. - Maxime Toquebiau; Jae-Yun Jun; Faïz BenAmar; Nicolas Bredèche (CoRR, 2025)