Improved approximate decoding based on position information matrix. - Minhae Kwon; Hyunggon Park; Pascal Frossard (ISCC, 2012)

Approximate recovery of network coded real-time information. - Minhae Kwon; Hyunggon Park (ICOIN, 2014)

Implementation of approximate decoding algorithm over TCP/IP. - Jungmin Kwon; Minhae Kwon; Byungchul Park; Hyunggon Park (ICUFN, 2014)

Compressed network coding: Overcome all-or-nothing problem in finite fields. - Minhae Kwon; Hyunggon Park; Pascal Frossard (WCNC, 2014)

Energy-efficient data transmission strategy for network coded bidirectional De Bruijn networks. - Jungmin Kwon; Minhae Kwon; Hyunggon Park (ICUFN, 2015)

The cluster formation strategies for approximate decoding in IoT networks. - Minhae Kwon; Hyunggon Park (ICOIN, 2016)

The Impact of Network Coding Cluster Size on Approximate Decoding Performance. - Minhae Kwon; Hyunggon Park (KSII Trans. Internet Inf. Syst., 2016)

Approximate decoding for network coded inter-dependent data. - Minhae Kwon; Hyunggon Park; Nikolaos Thomos; Pascal Frossard (Signal Process., 2016)

Network coding-based distributed network formation game for multi-source multicast networks. - Minhae Kwon; Hyunggon Park (ICC, 2017)

Analysis on decoding error rate of systematic network coding. - Minhae Kwon; Hyunggon Park (ICCE, 2017)

An architecture of IPTV networks based on network coding. - Minhae Kwon; Jungmin Kwon; Byungchul Park; Hyunggon Park (ICUFN, 2017)

Distributed Topology Design for Network Coding Deployed Large-scale Sensor Networks. - Minhae Kwon; Hyunggon Park (CoRR, 2017)

Distributed Network Formation Strategy for Network Coding Based Wireless Networks. - Minhae Kwon; Hyunggon Park (IEEE Signal Process. Lett., 2017)

Systematic network coding based reliable real-time multimedia streaming system. - Minhae Kwon; Hyojin Kim; Insoo Zhang; Singyu Bai; Hyunggon Park (ICCE, 2018)

Learning to Activate Relay Nodes: Deep Reinforcement Learning Approach. - Minhae Kwon; Juhyeon Lee; Hyunggon Park (CoRR, 2018)

Distributed topology design for network coding deployed networks. - Minhae Kwon; Hyunggon Park (Signal Process., 2019)

Network Coding Based Evolutionary Network Formation for Dynamic Wireless Networks. - Minhae Kwon; Hyunggon Park (IEEE Trans. Mob. Comput., 2019)

Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics. - Minhae Kwon; Saurabh Daptardar; Paul R. Schrater; Xaq Pitkow (NeurIPS, 2020)

Non-iterative Coordinated Beamforming for Multicell MIMO Heterogeneous Networks. - Minhae Kwon; Hyunggon Park (Wirel. Pers. Commun., 2020)

Hierarchical Autoencoder for Network Intrusion Detection. - Hyoseon Kye; Miru Kim; Minhae Kwon (ICC, 2022)

Partial federated learning based network intrusion system for mobile devices: poster. - Hyoseon Kye; Minhae Kwon (MobiHoc, 2022)

Curriculum Reinforcement Learning for Cohesive Team in Mobile Ad Hoc Networks. - Nayoung Kim; Minhae Kwon; Hyunggon Park (IEEE Commun. Lett., 2022)

ADAS-RL: Safety learning approach for stable autonomous driving. - Dongsu Lee; Minhae Kwon (ICT Express, 2022)

Hierarchical Detection of Network Anomalies : A Self-Supervised Learning Approach. - Hyoseon Kye; Miru Kim; Minhae Kwon (IEEE Signal Process. Lett., 2022)

Foresighted Decisions for Inter-Vehicle Interactions: An Offline Reinforcement Learning Approach. - Dongsu Lee; Minhae Kwon (ITSC, 2023)

Reproduction Factor Based Latent Epidemic Model Inference: A Data-Driven Approach Using COVID-19 Datasets. - Sujin Ahn; Minhae Kwon (IEEE J. Biomed. Health Informatics, 2023)

Stability Analysis in Mixed-Autonomous Traffic With Deep Reinforcement Learning. - Dongsu Lee; Minhae Kwon (IEEE Trans. Veh. Technol., 2023)

AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset. - Dongsu Lee; Chanin Eom; Minhae Kwon (ICRA, 2024)

Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning. - Dongsu Lee; Minhae Kwon (NeurIPS, 2024)

Selective imitation for efficient online reinforcement learning with pre-collected data. - Chanin Eom; Dongsu Lee; Minhae Kwon (ICT Express, 2024)

The Impact of Dataset on Offline Reinforcement Learning Performance in UAV-Based Emergency Network Recovery Tasks. - Jeyeon Eo; Dongsu Lee; Minhae Kwon (IEEE Commun. Lett., 2024)

Stochastic approximate inference of latent information in epidemic model: A data-driven approach. - Jungmin Kwon; Sujin Ahn; Hyunggon Park; Minhae Kwon (Signal Process., 2025)

Instant Inverse Modeling of Stochastic Driving Behavior With Deep Reinforcement Learning. - Dongsu Lee; Minhae Kwon (IEEE Trans. Consumer Electron., 2025)

Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning. - Dongsu Lee; Minhae Kwon (CoRR, 2025)

Episodic Future Thinking With Offline Reinforcement Learning for Autonomous Driving. - Dongsu Lee; Minhae Kwon (IEEE Internet Things J., 2025)