Minhae Kwon - RankMe

51 papers A* 4A 3B 2C 3Journal 31Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evolving Intelligent Network Attack Classifier Under Label Distribution Shift. IEEE Trans. Netw. Sci. Eng. Miru Kim, Mugon Joe, Minhae Kwon
2026	J	`jnl`	Fed-ADE: Adaptive Learning Rate for Federated Post-adaptation under Distribution Shift. CoRR Heewon Park, Mugon Joe, Miru Kim, Kyungjin Im, Minhae Kwon
2026	J	`jnl`	Price of the Autonomous Strategy With Reinforcement Learning in Mixed-Autonomy Traffic Networks. IEEE Trans. Intell. Transp. Syst. Chanin Eom, Minhae Kwon
2025	A	`conf`	ASAP: Unsupervised Post-training with Label Distribution Shift Adaptive Learning Rate. CIKM Heewon Park, Mugon Joe, Miru Kim, Minhae Kwon
2025	J	`jnl`	ASAP: Unsupervised Post-training with Label Distribution Shift Adaptive Learning Rate. CoRR Heewon Park, Mugon Joe, Miru Kim, Minhae Kwon
2025	J	`jnl`	CluVar: clustering of variants using autoencoder for inferring cancer subclones from single cell RNA sequencing data. Briefings Bioinform. Chae Won Kim, Heewon Park, Dohyeon Kim, Yuchang Seong, Minhae Kwon, Junil Kim
2025	J	`jnl`	Episodic Future Thinking With Offline Reinforcement Learning for Autonomous Driving. IEEE Internet Things J. Dongsu Lee, Minhae Kwon
2025	A	`conf`	Improving Network Attack Classification on Imbalanced Real-world Intrusion Incident Datasets. MobiSys Miru Kim, Mugon Joe, Minhae Kwon
2025	J	`jnl`	Instant Inverse Modeling of Stochastic Driving Behavior With Deep Reinforcement Learning. IEEE Trans. Consumer Electron. Dongsu Lee, Minhae Kwon
2025	A	`conf`	OASIS: Open-world Adaptive Self-supervised and Imbalanced-aware System. CIKM Miru Kim, Mugon Joe, Minhae Kwon
2025	J	`jnl`	OASIS: Open-world Adaptive Self-supervised and Imbalanced-aware System. CoRR Miru Kim, Mugon Joe, Minhae Kwon
2025	J	`jnl`	Personalized Split Federated Learning With Early Exit: Pretraining and Online Learning Against Label Shifts. IEEE Internet Things J. Miru Kim, Heewon Park, Minhae Kwon
2025	J	`jnl`	Scenario-Free Autonomous Driving With Multi-Task Offline-to-Online Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. Dongsu Lee, Minhae Kwon
2025	J	`jnl`	Stochastic approximate inference of latent information in epidemic model: A data-driven approach. Signal Process. Jungmin Kwon, Sujin Ahn, Hyunggon Park, Minhae Kwon
2025	A*	`conf`	Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning. ICML Dongsu Lee, Minhae Kwon
2025	J	`jnl`	Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning. CoRR Dongsu Lee, Minhae Kwon
2024	A*	`conf`	AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset. ICRA Dongsu Lee, Chanin Eom, Minhae Kwon
2024	J	`jnl`	AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset. CoRR Dongsu Lee, Chanin Eom, Minhae Kwon
2024	A*	`conf`	Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning. NeurIPS Dongsu Lee, Minhae Kwon
2024	J	`jnl`	Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning. CoRR Dongsu Lee, Minhae Kwon
2024	J	`jnl`	Selective imitation for efficient online reinforcement learning with pre-collected data. ICT Express Chanin Eom, Dongsu Lee, Minhae Kwon
2024	J	`jnl`	The Impact of Dataset on Offline Reinforcement Learning Performance in UAV-Based Emergency Network Recovery Tasks. IEEE Commun. Lett. Jeyeon Eo, Dongsu Lee, Minhae Kwon
2023	—	`conf`	Foresighted Decisions for Inter-Vehicle Interactions: An Offline Reinforcement Learning Approach. ITSC Dongsu Lee, Minhae Kwon
2023	J	`jnl`	Reproduction Factor Based Latent Epidemic Model Inference: A Data-Driven Approach Using COVID-19 Datasets. IEEE J. Biomed. Health Informatics Sujin Ahn, Minhae Kwon
2023	J	`jnl`	Stability Analysis in Mixed-Autonomous Traffic With Deep Reinforcement Learning. IEEE Trans. Veh. Technol. Dongsu Lee, Minhae Kwon
2022	J	`jnl`	ADAS-RL: Safety learning approach for stable autonomous driving. ICT Express Dongsu Lee, Minhae Kwon
2022	J	`jnl`	Curriculum Reinforcement Learning for Cohesive Team in Mobile Ad Hoc Networks. IEEE Commun. Lett. Nayoung Kim, Minhae Kwon, Hyunggon Park
2022	—	`conf`	Hierarchical Autoencoder for Network Intrusion Detection. ICC Hyoseon Kye, Miru Kim, Minhae Kwon
2022	J	`jnl`	Hierarchical Detection of Network Anomalies : A Self-Supervised Learning Approach. IEEE Signal Process. Lett. Hyoseon Kye, Miru Kim, Minhae Kwon
2022	B	`conf`	Partial federated learning based network intrusion system for mobile devices: poster. MobiHoc Hyoseon Kye, Minhae Kwon
2020	A*	`conf`	Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics. NeurIPS Minhae Kwon, Saurabh Daptardar, Paul R. Schrater, Xaq Pitkow
2020	J	`jnl`	Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics. CoRR Minhae Kwon, Saurabh Daptardar, Paul R. Schrater, Xaq Pitkow
2020	J	`jnl`	Non-iterative Coordinated Beamforming for Multicell MIMO Heterogeneous Networks. Wirel. Pers. Commun. Minhae Kwon, Hyunggon Park
2019	J	`jnl`	Distributed topology design for network coding deployed networks. Signal Process. Minhae Kwon, Hyunggon Park
2019	J	`jnl`	Network Coding Based Evolutionary Network Formation for Dynamic Wireless Networks. IEEE Trans. Mob. Comput. Minhae Kwon, Hyunggon Park
2018	J	`jnl`	Learning to Activate Relay Nodes: Deep Reinforcement Learning Approach. CoRR Minhae Kwon, Juhyeon Lee, Hyunggon Park
2018	C	`conf`	Systematic network coding based reliable real-time multimedia streaming system. ICCE Minhae Kwon, Hyojin Kim, Insoo Zhang, Singyu Bai, Hyunggon Park
2017	—	`conf`	An architecture of IPTV networks based on network coding. ICUFN Minhae Kwon, Jungmin Kwon, Byungchul Park, Hyunggon Park
2017	C	`conf`	Analysis on decoding error rate of systematic network coding. ICCE Minhae Kwon, Hyunggon Park
2017	J	`jnl`	Distributed Network Formation Strategy for Network Coding Based Wireless Networks. IEEE Signal Process. Lett. Minhae Kwon, Hyunggon Park
2017	J	`jnl`	Distributed Topology Design for Network Coding Deployed Large-scale Sensor Networks. CoRR Minhae Kwon, Hyunggon Park
2017	J	`jnl`	Network Coding Based Evolutionary Network Formation for Dynamic Wireless Networks. CoRR Minhae Kwon, Hyunggon Park
2017	—	`conf`	Network coding-based distributed network formation game for multi-source multicast networks. ICC Minhae Kwon, Hyunggon Park
2016	J	`jnl`	Approximate decoding for network coded inter-dependent data. Signal Process. Minhae Kwon, Hyunggon Park, Nikolaos Thomos, Pascal Frossard
2016	J	`jnl`	The Impact of Network Coding Cluster Size on Approximate Decoding Performance. KSII Trans. Internet Inf. Syst. Minhae Kwon, Hyunggon Park
2016	—	`conf`	The cluster formation strategies for approximate decoding in IoT networks. ICOIN Minhae Kwon, Hyunggon Park
2015	—	`conf`	Energy-efficient data transmission strategy for network coded bidirectional De Bruijn networks. ICUFN Jungmin Kwon, Minhae Kwon, Hyunggon Park
2014	—	`conf`	Approximate recovery of network coded real-time information. ICOIN Minhae Kwon, Hyunggon Park
2014	B	`conf`	Compressed network coding: Overcome all-or-nothing problem in finite fields. WCNC Minhae Kwon, Hyunggon Park, Pascal Frossard
2014	—	`conf`	Implementation of approximate decoding algorithm over TCP/IP. ICUFN Jungmin Kwon, Minhae Kwon, Byungchul Park, Hyunggon Park
2012	C	`conf`	Improved approximate decoding based on position information matrix. ISCC Minhae Kwon, Hyunggon Park, Pascal Frossard