Jae Yun JUN KIM

Jae Yun Jun Kim

Associated Member
Team: Réseaux et objets connectés
Personal website:

2026

Conference Articles

  1. Hakem, B.; Jun, J-Y.; Bouzefrane, S. and Millet, P. Predictive maintenance for a hydraulic system on a vehicle using LSTM-based autoencoder. In Proceedings of International Conference on Ubiquitous and Future Networks, pages 735-740, IEEE, Milan, Italy, 2026. doi  www 
  1. Bouchayer, R.; Jun, J-Y.; Chaouchi, H. and Millet, P. Redefinition of Inter-Message Arrival Time for Robust Controller Area Network Intrusion Detection. In ICUFN 2026 : Seventeenth International Conference on Ubiquitous and Future Networks, pages 71-76, IEEE, Milan, Italy, 2026. doi  www 

2025

Conference Articles

  1. Nagy, G. and Jun, J-Y. Predicting Online Firestorms with High-Fidelity Data from Large Language Models: An Evaluation of RNN, LSTM, and GRU. In Winter Academic Conference of American Marketing Association (AMA), Phoenix, United States, 2025. www 
  1. Toquebiau, M.; Jun, J-Y.; Benamar, F. and Bredeche, N. Towards Language-Augmented Multi-Agent Deep Reinforcement Learning. In Frontiers in Artificial Intelligence and Applications, pages 3791-3798, IOS Press, Bologna (ITALY), Italy, Frontiers in Artificial Intelligence and Applications 413, 2025. doi  www 

Reports

  1. Toquebiau, M.; Jun, J-Y.; Benamar, F. and Bredeche, N. An Introduction to Deep Reinforcement Learning. Technical Report, Sorbonne universités, 2025.

Unpublished

  1. Toquebiau, M.; Jun, J-Y.; Benamar, F. and Bredeche, N. Multi-Agent Deep Reinforcement Learning in Robotics: Context and Open Challenges. , working paper or preprint. www 

2024

Journal Articles

  1. Jun, J-Y. and Rakotondratsimba, Y. Approximate Closed-Form Solutions for Pricing Zero-Coupon Bonds in the Zero Lower Bound Framework. In Mathematics, 12 (17): 2690, 2024. doi  www 

Conference Articles

  1. Toquebiau, M.; Bredeche, N.; Benamar, F. and Jun, J-Y. Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning. In Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, AUCKLAND, New Zealand, 2024. www 

2023

Journal Articles

  1. Jun, J-Y. and Rakotondratsimba, Y. Approximating option prices under large changes of underlying asset prices. In International Journal of Theoretical and Applied Finance, 26 (01), 2023. doi  www 
  1. Gans-Combe, C.; Jun, J-Y.; Mouhali, W.; Rakotondratsimba, Y. and Baccar, A. Making green growth a reality: Reconciling sobriety with stakeholders' satisfaction. In PLoS ONE, 18 (8): e0284487, 2023. doi  www 
  1. Mouyart, M.; Medeiros Machado, G. and Jun, J-Y. 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. In Journal of sensor and actuator networks, 12 (5): 68, 2023. doi  www 

Conference Articles

  1. Gans Combe, C.; Jun Kim, J. Y. and Mouhali, W. Can social media be sustainable: economic and industrial modelling instruments to mitigate the unneeded use of resources in social media and Artificial Intelligence. In Proceedings of the 10th European Conference on Social Media, pages 85-95, Krakow, Poland, 2023. doi  www 

Proceedings

  1. Bouchayer, R.; Jun, J-Y.; Chaouchi, H. and Millet, P. In search of distance functions that improve autoencoder performance for intrusion detection. IEEE, Paris, France, 2023. www 

2022

Conference Articles

  1. Hussonnois, M. and Jun, J-Y. End-to-end autonomous driving using the Ape-X algorithm in Carla simulation environment. In Proceeding of the Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN), pages 18-23, IEEE, Barcelona, Spain, 2022. doi  www 

2020

Conference Articles

  1. Jun, J-Y. and Rakotondratsimba, Y. Hedging option contracts with locally weighted regression, functional data analysis, and Markov chain Monte Carlo techniques. In 2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), pages 538-543, IEEE, Fukuoka, Japan, 2020. doi  www 

2015

Journal Articles

  1. Jun, J-Y.; Saut, J-P. and Ben Amar, F. Pose estimation-based path planning for a tracked mobile robot traversing uneven terrains. In Robotics and Autonomous Systems, 75 (Part B): 325-339, 2015. doi  www 
  1. Jun, J-Y. and Clark, J. E Characterization of running with compliant curved legs. In Bioinspiration and Biomimetics, 10 (4): 046008, 2015. doi  www 

2014

Book Sections

  1. Jun, J-Y. and Benamar, F. Tip-over stability-based path planning for a tracked mobile robot over rough terrains. In Mobile Service Robotics (CLAWAR 2014), pages 609-616, World Scientific, 2014. doi  www 
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