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2020 – today
- 2024
[j12]Jeyeon Eo
, Dongsu Lee, Minhae Kwon:
The Impact of Dataset on Offline Reinforcement Learning Performance in UAV-Based Emergency Network Recovery Tasks. IEEE Commun. Lett. 28(5): 1058-1061 (2024)- [c15]Dongsu Lee, Chanin Eom, Minhae Kwon:
AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset. ICRA 2024: 8239-8245 - [i5]Dongsu Lee, Chanin Eom, Minhae Kwon:
AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset. CoRR abs/2404.02429 (2024) - 2023
- [j11]Sujin Ahn, Minhae Kwon:
Reproduction Factor Based Latent Epidemic Model Inference: A Data-Driven Approach Using COVID-19 Datasets. IEEE J. Biomed. Health Informatics 27(3): 1259-1270 (2023) - [j10]Dongsu Lee, Minhae Kwon:
Stability Analysis in Mixed-Autonomous Traffic With Deep Reinforcement Learning. IEEE Trans. Veh. Technol. 72(3): 2848-2862 (2023) - [c14]Dongsu Lee, Minhae Kwon:
Foresighted Decisions for Inter-Vehicle Interactions: An Offline Reinforcement Learning Approach. ITSC 2023: 1753-1758 - 2022
- [j9]Nayoung Kim, Minhae Kwon, Hyunggon Park:
Curriculum Reinforcement Learning for Cohesive Team in Mobile Ad Hoc Networks. IEEE Commun. Lett. 26(8): 1809-1813 (2022) - [j8]Dongsu Lee, Minhae Kwon:
ADAS-RL: Safety learning approach for stable autonomous driving. ICT Express 8(3): 479-483 (2022) - [j7]Hyoseon Kye, Miru Kim, Minhae Kwon:
Hierarchical Detection of Network Anomalies : A Self-Supervised Learning Approach. IEEE Signal Process. Lett. 29: 1908-1912 (2022) - [c13]Hyoseon Kye, Miru Kim, Minhae Kwon:
Hierarchical Autoencoder for Network Intrusion Detection. ICC 2022: 2700-2705 - [c12]Hyoseon Kye, Minhae Kwon:
Partial federated learning based network intrusion system for mobile devices: poster. MobiHoc 2022: 283-284 - 2020
- [j6]Minhae Kwon, Hyunggon Park:
Non-iterative Coordinated Beamforming for Multicell MIMO Heterogeneous Networks. Wirel. Pers. Commun. 112(2): 763-775 (2020) - [c11]Minhae Kwon, Saurabh Daptardar, Paul R. Schrater, Zachary Pitkow:
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics. NeurIPS 2020 - [i4]Minhae Kwon, Saurabh Daptardar, Paul R. Schrater, Xaq Pitkow:
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics. CoRR abs/2009.12576 (2020)
2010 – 2019
- 2019
- [j5]Minhae Kwon, Hyunggon Park:
Distributed topology design for network coding deployed networks. Signal Process. 165: 380-392 (2019) - [j4]Minhae Kwon, Hyunggon Park:
Network Coding Based Evolutionary Network Formation for Dynamic Wireless Networks. IEEE Trans. Mob. Comput. 18(6): 1316-1329 (2019) - 2018
- [c10]Minhae Kwon, Hyojin Kim, Insoo Zhang, Singyu Bai, Hyunggon Park:
Systematic network coding based reliable real-time multimedia streaming system. ICCE 2018: 1-2 - [i3]Minhae Kwon, Juhyeon Lee, Hyunggon Park:
Learning to Activate Relay Nodes: Deep Reinforcement Learning Approach. CoRR abs/1811.09759 (2018) - 2017
- [j3]Minhae Kwon, Hyunggon Park:
Distributed Network Formation Strategy for Network Coding Based Wireless Networks. IEEE Signal Process. Lett. 24(4): 432-436 (2017) - [c9]Minhae Kwon, Hyunggon Park:
Network coding-based distributed network formation game for multi-source multicast networks. ICC 2017: 1-6 - [c8]Minhae Kwon, Hyunggon Park:
Analysis on decoding error rate of systematic network coding. ICCE 2017: 258-259 - [c7]Minhae Kwon, Jungmin Kwon, Byungchul Park, Hyunggon Park:
An architecture of IPTV networks based on network coding. ICUFN 2017: 462-464 - [i2]Minhae Kwon, Hyunggon Park:
Distributed Topology Design for Network Coding Deployed Large-scale Sensor Networks. CoRR abs/1712.00631 (2017) - [i1]Minhae Kwon, Hyunggon Park:
Network Coding Based Evolutionary Network Formation for Dynamic Wireless Networks. CoRR abs/1712.00635 (2017) - 2016
- [j2]Minhae Kwon, Hyunggon Park:
The Impact of Network Coding Cluster Size on Approximate Decoding Performance. KSII Trans. Internet Inf. Syst. 10(3): 1144-1158 (2016) - [j1]Minhae Kwon, Hyunggon Park, Nikolaos Thomos, Pascal Frossard:
Approximate decoding for network coded inter-dependent data. Signal Process. 120: 222-235 (2016) - [c6]Minhae Kwon, Hyunggon Park:
The cluster formation strategies for approximate decoding in IoT networks. ICOIN 2016: 366-368 - 2015
- [c5]Jungmin Kwon, Minhae Kwon, Hyunggon Park:
Energy-efficient data transmission strategy for network coded bidirectional De Bruijn networks. ICUFN 2015: 37-39 - 2014
- [c4]Minhae Kwon, Hyunggon Park:
Approximate recovery of network coded real-time information. ICOIN 2014: 545-549 - [c3]Jungmin Kwon, Minhae Kwon, Byungchul Park, Hyunggon Park:
Implementation of approximate decoding algorithm over TCP/IP. ICUFN 2014: 477-478 - [c2]Minhae Kwon, Hyunggon Park, Pascal Frossard:
Compressed network coding: Overcome all-or-nothing problem in finite fields. WCNC 2014: 2851-2856 - 2012
- [c1]Minhae Kwon, Hyunggon Park, Pascal Frossard:
Improved approximate decoding based on position information matrix. ISCC 2012: 114-118
Coauthor Index
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