Intelligent IoT Connectivity: Deep Reinforcement Learning Approach M Kwon, J Lee, H Park IEEE Sensors Journal, 2019 | 60 | 2019 |
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics M Kwon, S Daptardar, PR Schrater, Z Pitkow NeurIPS2020, 2020 | 39 | 2020 |
Rational thoughts in neural codes Z Wu, M Kwon, S Daptardar, P Schrater, X Pitkow Proceedings of the National Academy of Sciences 117 (47), 29311-29320, 2020 | 30 | 2020 |
Hierarchical detection of network anomalies: A self-supervised learning approach H Kye, M Kim, M Kwon IEEE Signal Processing Letters 29, 1908-1912, 2022 | 18 | 2022 |
Stability analysis in mixed-autonomous traffic with deep reinforcement learning D Lee, M Kwon IEEE Transactions on Vehicular Technology 72 (3), 2848-2862, 2022 | 16 | 2022 |
Network coding based evolutionary network formation for dynamic wireless networks M Kwon, H Park IEEE Transactions on Mobile Computing 18 (6), 1316-1329, 2018 | 14 | 2018 |
Compressed network coding: Overcome all-or-nothing problem in finite fields M Kwon, H Park, P Frossard 2014 IEEE Wireless Communications and Networking Conference (WCNC), 2851-2856, 2014 | 14 | 2014 |
Analysis on decoding error rate of systematic network coding M Kwon, H Park 2017 IEEE International Conference on Consumer Electronics (ICCE), 258-259, 2017 | 12 | 2017 |
Hierarchical autoencoder for network intrusion detection H Kye, M Kim, M Kwon ICC 2022-IEEE International Conference on Communications, 2700-2705, 2022 | 9 | 2022 |
Distributed network formation strategy for network coding based wireless networks M Kwon, H Park IEEE Signal Processing Letters 24 (4), 432-436, 2017 | 9 | 2017 |
ADAS-RL: Safety learning approach for stable autonomous driving D Lee, M Kwon ICT Express 8 (3), 479-483, 2022 | 8 | 2022 |
An improved approximate decoding with correlated sources M Kwon, H Park Applications of Digital Image Processing XXXIV 8135, 243-250, 2011 | 8 | 2011 |
PCA-Based Low-Complexity Anomaly Detectio HS Kye, MH Kwon The Journal of Korean Institute of Communications and Information Sciences …, 2021 | 7 | 2021 |
Approximate decoding for network coded inter-dependent data M Kwon, H Park, N Thomos, P Frossard Signal Processing 120, 222-235, 2016 | 7 | 2016 |
The Impact of Network Coding Cluster Size on Approximate Decoding Performance M Kwon, H Park KSII Transactions on Internet and Information Systems (TIIS) 10 (3), 1144-1158, 2016 | 7 | 2016 |
Network coding-based distributed network formation game for multi-source multicast networks M Kwon, H Park 2017 IEEE International Conference on Communications (ICC), 1-6, 2017 | 6 | 2017 |
AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset D Lee, C Eom, M Kwon 2024 IEEE International Conference on Robotics and Automation (ICRA), 2024 | 5 | 2024 |
Partial federated learning based network intrusion system for mobile devices H Kye, M Kwon Proceedings of the Twenty-Third International Symposium on Theory …, 2022 | 5 | 2022 |
Improved approximate decoding based on position information matrix M Kwon, H Park, P Frossard 2012 IEEE Symposium on Computers and Communications (ISCC), 000114-000118, 2012 | 5 | 2012 |
The Impact of Dataset on Offline Reinforcement Learning Performance in UAV-based Emergency Network Recovery Tasks J Eo, D Lee, M Kwon IEEE Communications Letters, 2023 | 4 | 2023 |