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2024
[j117]
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Soohyun Park, Hankyul Baek, Joongheon Kim:
Quantum Reinforcement Learning for Spatio-Temporal Prioritization in Metaverse. IEEE Access 12: 54732-54744 (2024)
[j116]
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Soohyun Park, Soyi Jung, Joongheon Kim:
Dynamic Quantum Federated Learning for Satellite-Ground Integrated Systems Using Slimmable Quantum Neural Networks. IEEE Access 12: 58239-58247 (2024)
[j115]
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Kiho Cho, Joongheon Kim, Soyi Jung:
Enhancing Cost-Effective 5G Virtualized RAN Pooling Gain on Clouds: An Intelligent Auto-Scaling Approach. IEEE Access 12: 111322-111333 (2024)
[j114]
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Junyoung Kim, Uhyeong Jo, Taewoon Kim, Soyi Jung, Joongheon Kim:
Sensing-to-Sky Intermittent Connectivity Realization for LTE-Enabled Drone Platforms: Embedded Design, Measurement Study, and Positioning Applications. IEEE Access 12: 137360-137372 (2024)
[j113]
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Soohyun Park, Jae Pyoung Kim, Chanyoung Park, Soyi Jung, Joongheon Kim:
Quantum Multi-Agent Reinforcement Learning for Autonomous Mobility Cooperation. IEEE Commun. Mag. 62(6): 106-112 (2024)
[j112]
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Soohyun Park, Gyu Seon Kim, Zhu Han, Joongheon Kim:
Quantum Multi-Agent Reinforcement Learning is All You Need: Coordinated Global Access in Integrated TN/NTN Cube-Satellite Networks. IEEE Commun. Mag. 62(10): 86-92 (2024)
[j111]
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Soohyun Park, Hankyul Baek, Jung Won Yoon, Youn Kyu Lee, Joongheon Kim:
AQUA: Analytics-driven quantum neural network (QNN) user assistance for software validation. Future Gener. Comput. Syst. 159: 545-556 (2024)
[j110]
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JooYong Shim, Soyi Jung, Joongheon Kim, Jong-Kook Kim:
Stabilized Performance Maximization for GAN-based Real-Time Authentication Image Generation over Internet. Multim. Tools Appl. 83(22): 62045-62059 (2024)
[j109]
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Minseok Choi, Won Joon Yun, Seok Bin Son, Soohyun Park, Joongheon Kim:
Joint Delay-Sensitive and Power-Efficient Quality Control of Dynamic Video Streaming Using Adaptive Super-Resolution. IEEE Trans. Green Commun. Netw. 8(1): 103-117 (2024)
[j108]
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Minseok Choi, Tiange Xiang, Joongheon Kim:
Intelligent Caching for Seamless High-Quality Streaming in Vehicular Networks: A Multi-Agent Reinforcement Learning Approach. IEEE Trans. Intell. Veh. 9(2): 3672-3686 (2024)
[j107]
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Ülkü Meteriz-Yildiran, Necip Fazil Yildiran, Joongheon Kim, David Mohaisen:
Learning Location From Shared Elevation Profiles in Fitness Apps: A Privacy Perspective. IEEE Trans. Mob. Comput. 23(1): 581-596 (2024)
[j106]
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Won Joon Yun, Myungjae Shin, David Mohaisen, Kangwook Lee, Joongheon Kim:
Hierarchical Deep Reinforcement Learning-Based Propofol Infusion Assistant Framework in Anesthesia. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2510-2521 (2024)
[j105]
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Joongheon Kim, Soohyun Park, Soyi Jung, Carlos Cordeiro:
Cooperative Multi-UAV Positioning for Aerial Internet Service Management: A Multi-Agent Deep Reinforcement Learning Approach. IEEE Trans. Netw. Serv. Manag. 21(4): 3797-3812 (2024)
[j104]
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Soohyun Park, Chanyoung Park, Joongheon Kim:
Learning-Based Cooperative Mobility Control for Autonomous Drone-Delivery. IEEE Trans. Veh. Technol. 73(4): 4870-4885 (2024)
[j103]
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Soohyun Park, Chanyoung Park, Soyi Jung, Minseok Choi, Joongheon Kim:
Age-of-Information Aware Caching and Delivery for Infrastructure-Assisted Connected Vehicles. IEEE Trans. Veh. Technol. 73(7): 10681-10696 (2024)
[j102]
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Byungju Lim, Won Joon Yun, Joongheon Kim, Young-Chai Ko:
Joint User Clustering, Beamforming, and Power Allocation for mmWave-NOMA With Imperfect SIC. IEEE Trans. Wirel. Commun. 23(3): 2025-2038 (2024)
[c143]
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Soohyun Park, Gyu Seon Kim, Soyi Jung, Joongheon Kim:
Quantum Multi - Agent Reinforcement Learning Software Design and Visual Simulations for Multi - Drone Mobility Control. APWCS 2024: 1-5
[c142]
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JooYong Shim, Joongheon Kim:
Diffusion-Based Quantum Error Mitigation Using Stochastic Differential Equation. APWCS 2024: 1-5
[i95]
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  - journals/corr/abs-2401-01370
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Hankyul Baek, Donghyeon Kim, Joongheon Kim:
Fast Quantum Convolutional Neural Networks for Low-Complexity Object Detection in Autonomous Driving Applications. CoRR abs/2401.01370 (2024)
[i94]
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  - journals/corr/abs-2401-10914
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Soohyun Park, Joongheon Kim:
Quantum Neural Network Software Testing, Analysis, and Code Optimization for Advanced IoT Systems: Design, Implementation, and Visualization. CoRR abs/2401.10914 (2024)
[i93]
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  - journals/corr/abs-2406-16994
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Gyu Seon Kim, Yeryeong Cho, Jaehyun Chung, Soohyun Park, Soyi Jung, Zhu Han, Joongheon Kim:
Quantum Multi-Agent Reinforcement Learning for Cooperative Mobile Access in Space-Air-Ground Integrated Networks. CoRR abs/2406.16994 (2024)
2023
[j101]
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Soohyun Park, Chanyoung Park, Soyi Jung, Jae-Hyun Kim, Joongheon Kim:
Workload-Aware Scheduling Using Markov Decision Process for Infrastructure-Assisted Learning-Based Multi-UAV Surveillance Networks. IEEE Access 11: 16533-16548 (2023)
[j100]
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JooYong Shim, Joongheon Kim, Jong-Kook Kim:
Audio-to-Visual Cross-Modal Generation of Birds. IEEE Access 11: 27719-27729 (2023)
[j99]
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Seok Bin Son, Soohyun Park, Joongheon Kim:
Entropy-Aware Similarity for Balanced Clustering: A Case Study With Melanoma Detection. IEEE Access 11: 46892-46902 (2023)
[j98]
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Won Joon Yun, Myungjae Shin, Soyi Jung, JeongGil Ko, Hyung-Chul Lee, Joongheon Kim:
Deep reinforcement learning-based propofol infusion control for anesthesia: A feasibility study with a 3000-subject dataset. Comput. Biol. Medicine 156: 106739 (2023)
[j97]
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Soyi Jung, Jae-Hyun Kim, David Mohaisen, Joongheon Kim:
Truthful and performance-optimal computation outsourcing for aerial surveillance platforms via learning-based auction. Comput. Networks 225: 109651 (2023)
[j96]
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Hyun-Chul Jo, Hyun-Wook Jin, Joongheon Kim:
Self-adaptive end-to-end resource management for real-time monitoring in cyber-physical systems. Comput. Networks 225: 109669 (2023)
[j95]
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  - journals/ict-express/KwakYKCPCJK23
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Yunseok Kwak, Won Joon Yun, Jae Pyoung Kim, Hyunhee Cho, Jihong Park, Minseok Choi, Soyi Jung, Joongheon Kim:
Quantum distributed deep learning architectures: Models, discussions, and applications. ICT Express 9(3): 486-491 (2023)
[j94]
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  - journals/internet/ParkFPLJK23
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Soohyun Park, Hao Feng, Chanyoung Park, Youn Kyu Lee, Soyi Jung, Joongheon Kim:
EQuaTE: Efficient Quantum Train Engine for Runtime Dynamic Analysis and Visual Feedback in Autonomous Driving. IEEE Internet Comput. 27(5): 24-31 (2023)
[j93]
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Won Joon Yun, Jae Pyoung Kim, Soyi Jung, Jae-Hyun Kim, Joongheon Kim:
Quantum Multiagent Actor-Critic Neural Networks for Internet-Connected Multirobot Coordination in Smart Factory Management. IEEE Internet Things J. 10(11): 9942-9952 (2023)
[j92]
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Chanyoung Park, Won Joon Yun, Jae Pyoung Kim, Tiago Koketsu Rodrigues, Soohyun Park, Soyi Jung, Joongheon Kim:
Quantum Multiagent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems. IEEE Internet Things J. 10(22): 20033-20048 (2023)
[j91]
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Hankyul Baek, Won Joon Yun, Soohyun Park, Joongheon Kim:
Stereoscopic scalable quantum convolutional neural networks. Neural Networks 165: 860-867 (2023)
[j90]
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Hankyul Baek, Rhoan Lee, Soyi Jung, Joongheon Kim, Soohyun Park:
Real-Time High-Quality Visualization for Volumetric Contents Rendering: A Lyapunov Optimization Framework. IEEE Open J. Comput. Soc. 4: 243-252 (2023)
[j89]
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Won Joon Yun, Soohyun Park, Joongheon Kim, David Mohaisen:
Self-Configurable Stabilized Real-Time Detection Learning for Autonomous Driving Applications. IEEE Trans. Intell. Transp. Syst. 24(1): 885-890 (2023)
[j88]
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Chanyoung Park, Gyu Seon Kim, Soohyun Park, Soyi Jung, Joongheon Kim:
Multi-Agent Reinforcement Learning for Cooperative Air Transportation Services in City-Wide Autonomous Urban Air Mobility. IEEE Trans. Intell. Veh. 8(8): 4016-4030 (2023)
[j87]
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Won Joon Yun, Yunseok Kwak, Hankyul Baek, Soyi Jung, Mingyue Ji, Mehdi Bennis, Jihong Park, Joongheon Kim:
SlimFL: Federated Learning With Superposition Coding Over Slimmable Neural Networks. IEEE/ACM Trans. Netw. 31(6): 2499-2514 (2023)
[j86]
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Soyi Jung, Chanyoung Park, Marco Levorato, Jae-Hyun Kim, Joongheon Kim:
Two-Stage Self-Adaptive Task Outsourcing Decision Making for Edge-Assisted Multi-UAV Networks. IEEE Trans. Veh. Technol. 72(11): 14889-14905 (2023)
[c141]
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Won Joon Yun, Jihong Park, Joongheon Kim:
Quantum Multi-Agent Meta Reinforcement Learning. AAAI 2023: 11087-11095
[c140]
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Hankyul Baek, Won Joon Yun, Joongheon Kim:
FV-Train: Quantum Convolutional Neural Network Training with a Finite Number of Qubits by Extracting Diverse Features (Student Abstract). AAAI 2023: 16156-16157
[c139]
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Soohyun Park, Joongheon Kim:
Quantum Reinforcement Learning for Large-Scale Multi-Agent Decision-Making in Autonomous Aerial Networks. APWCS 2023: 1-4
[c138]
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Hankyul Baek, Soohyun Park, Joongheon Kim:
Logarithmic Dimension Reduction for Quantum Neural Networks. CIKM 2023: 3738-3742
[c137]
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Soohyun Park, Hankyul Baek, Joongheon Kim:
Quantum Split Learning for Privacy-Preserving Information Management. CIKM 2023: 4239-4243
[c136]
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Chanyoung Park, Soohyun Park, Gyu Seon Kim, Soyi Jung, Jae-Hyun Kim, Joongheon Kim:
Multi-Agent Deep Reinforcement Learning for Efficient Passenger Delivery in Urban Air Mobility. ICC 2023: 5689-5694
[c135]
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Soohyun Park, Hao Feng, Won Joon Yun, Chanyoung Park, Youn Kyu Lee, Soyi Jung, Joongheon Kim:
Demo: EQuaTE: Efficient Quantum Train Engine Design and Demonstration for Dynamic Software Analysis. ICDCS 2023: 1009-1012
[c134]
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Won Joon Yun, Samuel Kim, Joongheon Kim:
Multi-Site Clinical Federated Learning Using Recursive and Attentive Models and NVFlare. ICDCS 2023: 1033-1036
[c133]
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Chanyoung Park, Haemin Lee, Won Joon Yun, Soohyun Park, Soyi Jung, Joongheon Kim:
Poster: Coordinated Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Swarms in Autonomous Mobile Access Applications. ICDCS 2023: 1043-1044
[c132]
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Seok Bin Son, Soohyun Park, Haemin Lee, Youngkee Kim, Dongwan Kim, Joongheon Kim:
Introduction to MITRE ATT&CK: Concepts and Use Cases. ICOIN 2023: 158-161
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Gyu Seon Kim, Hyunsoo Lee, Chanyoung Park, Soyi Jung, Jae-Hyun Kim, Joongheon Kim:
Hybrid MAC for Military UAV Networks. ICOIN 2023: 656-659
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Hankyul Baek, Yoo Jeong Ha, Minjae Yoo, Soyi Jung, Joongheon Kim:
Neural Architectural Nonlinear Pre-Processing for mmWave Radar-based Human Gesture Perception. ICOIN 2023: 746-749
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Jae Pyoung Kim, Won Joon Yun, Hankyul Baek, Joongheon Kim:
Modern Trends in Quantum AI: Distributed and High-Definition Computation. ICOIN 2023: 750-754
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Ju-Hyung Lee, Joongheon Kim:
Sionna: Introduction to Embedded Open-Source Semantic Communication Platforms. ICOIN 2023: 775-777
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Joongheon Kim:
Quantum Federated Learning for Vehicular Computing Scenarios. ICTC 2023: 168-172
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Joongheon Kim:
Trends in Deep Reinforcement Learning for Distributed Coordination and Cooperation with Homogeneous Multi-Agents. ICTC 2023: 419-424
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Hyunsoo Lee, Soohyun Park, Won Joon Yun, Soyi Jung, Joongheon Kim:
Situation-Aware Deep Reinforcement Learning for Autonomous Nonlinear Mobility Control in Cyber-Physical Loitering Munition Systems. CoRR abs/2301.00124 (2023)
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Won Joon Yun, Jae Pyoung Kim, Soyi Jung, Jae-Hyun Kim, Joongheon Kim:
Quantum Multi-Agent Actor-Critic Neural Networks for Internet-Connected Multi-Robot Coordination in Smart Factory Management. CoRR abs/2301.04012 (2023)
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Soohyun Park, Chanyoung Park, Soyi Jung, Jae-Hyun Kim, Joongheon Kim:
Workload-Aware Scheduling using Markov Decision Process for Infrastructure-Assisted Learning-Based Multi-UAV Surveillance Networks. CoRR abs/2301.07307 (2023)
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Soohyun Park, Won Joon Yun, Chanyoung Park, Youn Kyu Lee, Soyi Jung, Hao Feng, Joongheon Kim:
EQuaTE: Efficient Quantum Train Engine for Dynamic Analysis via HCI-based Visual Feedback. CoRR abs/2302.03853 (2023)
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Chanyoung Park, Won Joon Yun, Jae Pyoung Kim, Tiago Koketsu Rodrigues, Soohyun Park, Soyi Jung, Joongheon Kim:
Quantum Multi-Agent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems. CoRR abs/2302.04445 (2023)
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Chanyoung Park, Haemin Lee, Won Joon Yun, Soyi Jung, Joongheon Kim:
Coordinated Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Swarms in Autonomous Mobile Access Applications. CoRR abs/2304.08493 (2023)
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Seok Bin Son, Soohyun Park, Joongheon Kim:
Entropy-Aware Similarity for Balanced Clustering: A Case Study with Melanoma Detection. CoRR abs/2305.15417 (2023)
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Chanyoung Park, Gyu Seon Kim, Soohyun Park, Soyi Jung, Joongheon Kim:
Multi-Agent Reinforcement Learning for Cooperative Air Transportation Services in City-Wide Autonomous Urban Air Mobility. CoRR abs/2306.04137 (2023)
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Won Joon Yun, Samuel Kim, Joongheon Kim:
Multi-Site Clinical Federated Learning using Recursive and Attentive Models and NVFlare. CoRR abs/2306.16367 (2023)
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Soohyun Park, Haemin Lee, Chanyoung Park, Soyi Jung, Minseok Choi, Joongheon Kim:
Two Tales of Platoon Intelligence for Autonomous Mobility Control: Enabling Deep Learning Recipes. CoRR abs/2307.09711 (2023)
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Soohyun Park, Jae Pyoung Kim, Chanyoung Park, Soyi Jung, Joongheon Kim:
Quantum Multi-Agent Reinforcement Learning for Autonomous Mobility Cooperation. CoRR abs/2308.01519 (2023)
2022
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Edward Au, Leif Wilhelmsson, Tuncer Baykas, Joongheon Kim:
Guest Editorial: Recent and Future Evolution of Wi-Fi. IEEE Commun. Stand. Mag. 6(2): 8-11 (2022)
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Soyi Jung, Moon-Sik Lee, Jihyung Kim, Mi-Young Yun, Joongheon Kim, Jae-Hyun Kim:
Trustworthy handover in LEO satellite mobile networks. ICT Express 8(3): 432-437 (2022)
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Won Joon Yun, Myungjae Shin, Soyi Jung, Sean Soek-Chul Kwon, Joongheon Kim:
Parallelized and randomized adversarial imitation learning for safety-critical self-driving vehicles. J. Commun. Networks 24(6): 710-721 (2022)
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Haemin Lee, Sean Soek-Chul Kwon, Soyi Jung, Joongheon Kim:
Neural Myerson auction for truthful and energy-efficient autonomous aerial data delivery. J. Commun. Networks 24(6): 730-741 (2022)
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EunSeong Boo, Joongheon Kim, JeongGil Ko:
LiteZKP: Lightening Zero-Knowledge Proof-Based Blockchains for IoT and Edge Platforms. IEEE Syst. J. 16(1): 112-123 (2022)
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Nhu-Ngoc Dao, Trung V. Phan, Umar Sa'ad, Joongheon Kim, Thomas Bauschert, Dinh-Thuan Do, Sungrae Cho:
Securing Heterogeneous IoT With Intelligent DDoS Attack Behavior Learning. IEEE Syst. J. 16(2): 1974-1983 (2022)
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Won Joon Yun, Soohyun Park, Joongheon Kim, Myungjae Shin, Soyi Jung, David A. Mohaisen, Jae-Hyun Kim:
Cooperative Multiagent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control. IEEE Trans. Ind. Informatics 18(10): 7086-7096 (2022)
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Juheon Yi, Seongwon Kim, Joongheon Kim, Sunghyun Choi:
Supremo: Cloud-Assisted Low-Latency Super-Resolution in Mobile Devices. IEEE Trans. Mob. Comput. 21(5): 1847-1860 (2022)
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Won Joon Yun, Dohyun Kwon, Minseok Choi, Joongheon Kim, Giuseppe Caire, Andreas F. Molisch:
Quality-Aware Deep Reinforcement Learning for Streaming in Infrastructure-Assisted Connected Vehicles. IEEE Trans. Veh. Technol. 71(2): 2002-2017 (2022)
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Kyeong-Rok Kim, Jung-Hoon Lee, Soyi Jung, Joongheon Kim, Jae-Hyun Kim:
Stabilized Detection Accuracy Maximization Using Adaptive SAR Image Processing in LEO Networks. IEEE Trans. Veh. Technol. 71(5): 5661-5665 (2022)
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Byungju Lim, Won Joon Yun, Joongheon Kim, Young-Chai Ko:
Joint Pilot Design and Channel Estimation Using Deep Residual Learning for Multi-Cell Massive MIMO Under Hardware Impairments. IEEE Trans. Veh. Technol. 71(7): 7599-7612 (2022)
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Hyunsoo Lee, Won Joon Yun, Soyi Jung, Jae-Hyun Kim, Joongheon Kim:
DDPG-based Deep Reinforcement Learning for Loitering Munition Mobility Control: Algorithm Design and Visualization. APWCS 2022: 112-116
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Hankyul Baek, Haemin Lee, Ji-Yeon Kim, Soyi Jung, Minseok Choi, Joongheon Kim:
Trends in 3D Point Cloud Contents Sampling in Mobile AR/VR Platforms. APWCS 2022: 171-175
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Won Joon Yun, David Mohaisen, Soyi Jung, Jong-Kook Kim, Joongheon Kim:
Hierarchical Reinforcement Learning using Gaussian Random Trajectory Generation in Autonomous Furniture Assembly. CIKM 2022: 3624-3633
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Soohyun Park, Soyi Jung, Minseok Choi, Joongheon Kim:
AoI-Aware Markov Decision Policies for Caching. ICDCS 2022: 1274-1275
[c121]
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Rhoan Lee, Soohyun Park, Soyi Jung, Joongheon Kim:
Quality-Aware Real-Time Augmented Reality Visualization under Delay Constraints. ICDCS 2022: 1292-1293
[c120]
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Won Joon Yun, Yunseok Kwak, Jae Pyoung Kim, Hyunhee Cho, Soyi Jung, Jihong Park, Joongheon Kim:
Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design. ICDCS 2022: 1332-1335
[c119]
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Haemin Lee, Youngkee Kim, Hyunhee Cho, Soyi Jung, Joongheon Kim:
The Credibility Cryptocurrency Valuation: Statistical Learning Analysis for Influencer Tweets. ICOIN 2022: 58-61
[c118]
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Hyunsoo Lee, Haemin Lee, Soyi Jung, Joongheon Kim:
Stable Marriage Matching for Traffic-Aware Space-Air-Ground Integrated Networks: A Gale-Shapley Algorithmic Approach. ICOIN 2022: 474-477
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Sanghyon Park, Jaeyoon Park, Joongheon Kim, Soyi Jung:
Deep Reinforcement Learning for Complex Topography in Urban Aerial Mobility: Sensor-based Calibration and Visualization. ICTC 2022: 1201-1203
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Ju-Hyung Lee, Dheeraj Panneer Selvam, Andreas F. Molisch, Joongheon Kim:
Reinforcement Learning Empowered Massive IoT Access in LEO-based Non-Terrestrial Networks. ICTC 2022: 1347-1350
[c115]
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Haemin Lee, Seok Bin Son, Won Joon Yun, Joongheon Kim, Soyi Jung, Dong Hwa Kim:
Spatio-Temporal Attack Course-of-Action (COA) Search Learning for Scalable and Time-Varying Networks. ICTC 2022: 1581-1584
[c114]
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Seok Bin Son, Soohyun Park, Haemin Lee, Joongheon Kim, Soyi Jung, Dong Hwa Kim:
Tutorial on Course-of-Action (COA) Attack Search Methods in Computer Networks. ICTC 2022: 1972-1975
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Soohyun Park, Minjae Yoo, Soyi Jung, Minseok Choi, Joongheon Kim:
Introduction to Secure Computing Methods in Unmanned Aerial Vehicles. ICUFN 2022: 239-241
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Joongheon Kim:
Learning-based Second Price Auction for Distributed Delivery Scheduling in Smart and Autonomous Urban Air Mobility. ICUFN 2022: 341-344
[c111]
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Youngkee Kim, Soyi Jung, Minseok Choi, Joongheon Kim:
Search Space Adaptation for Differentiable Neural Architecture Search in Image Classification. ICUFN 2022: 363-365
[c110]
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Hankyul Baek, Won Joon Yun, Yunseok Kwak, Soyi Jung, Mingyue Ji, Mehdi Bennis, Jihong Park, Joongheon Kim:
Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks. INFOCOM 2022: 1729-1738
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Rhoan Lee, Haemin Lee, Soohyun Park, Joongheon Kim:
Adaptive and Stabilized Streaming for Edge-Assisted Connected Vehicles under Heterogeneous Computing Constraints. VTC Spring 2022: 1-5
[c108]
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Ju-Hyung Lee, Hyowoon Seo, Jihong Park, Mehdi Bennis, Young-Chai Ko, Joongheon Kim:
Random Access Protocol Learning in LEO Satellite Networks via Reinforcement Learning. VTC Spring 2022: 1-5
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Minseok Choi, Won Joon Yun, Joongheon Kim:
Cooperative Video Quality Adaptation for Delay-Sensitive Dynamic Streaming using Adaptive Super-Resolution. WiOpt 2022: 262-268
[i81]
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Haemin Lee, Sean Soek-Chul Kwon, Soyi Jung, Joongheon Kim:
Neural Myerson Auction for Truthful and Energy-Efficient Autonomous Aerial Data Delivery. CoRR abs/2201.01170 (2022)
[i80]
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Won Joon Yun, Soohyun Park, Joongheon Kim, Myungjae Shin, Soyi Jung, David A. Mohaisen, Jae-Hyun Kim:
Cooperative Multi-Agent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control. CoRR abs/2201.05843 (2022)
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Youngkee Kim, Won Joon Yun, Youn Kyu Lee, Joongheon Kim:
Two-Stage Architectural Fine-Tuning with Neural Architecture Search using Early-Stopping in Image Classification. CoRR abs/2202.08604 (2022)
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Yoo Jeong Ha, Gusang Lee, Minjae Yoo, Soyi Jung, Seehwan Yoo, Joongheon Kim:
Feasibility Study of Multi-Site Split Learning for Privacy-Preserving Medical Systems under Data Imbalance Constraints in COVID-19, X-Ray, and Cholesterol Dataset. CoRR abs/2202.10456 (2022)
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Yunseok Kwak, Won Joon Yun, Jae Pyoung Kim, Hyunhee Cho, Minseok Choi, Soyi Jung, Joongheon Kim:
Quantum Heterogeneous Distributed Deep Learning Architectures: Models, Discussions, and Applications. CoRR abs/2202.11200 (2022)
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Won Joon Yun, Yunseok Kwak, Jae Pyoung Kim, Hyunhee Cho, Soyi Jung, Jihong Park, Joongheon Kim:
Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design. CoRR abs/2203.10443 (2022)
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Won Joon Yun, Yunseok Kwak, Hankyul Baek, Soyi Jung, Mingyue Ji, Mehdi Bennis, Jihong Park, Joongheon Kim:
SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks. CoRR abs/2203.14094 (2022)
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Soohyun Park, Soyi Jung, Minseok Choi, Joongheon Kim:
AoI-Aware Markov Decision Policies for Caching. CoRR abs/2204.13850 (2022)
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Rhoan Lee, Soohyun Park, Soyi Jung, Joongheon Kim:
Quality-Aware Real-Time Augmented Reality Visualization under Delay Constraints. CoRR abs/2205.00407 (2022)
[i72]
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Seok Bin Son, Soohyun Park, Haemin Lee, Joongheon Kim, Soyi Jung, Donghwa Kim:
Tutorial on Course-of-Action (COA) Attack Search Methods in Computer Networks. CoRR abs/2205.13763 (2022)
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Youngkee Kim, Soyi Jung, Minseok Choi, Joongheon Kim:
Search Space Adaptation for Differentiable Neural Architecture Search in Image Classification. CoRR abs/2206.02098 (2022)
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Won Joon Yun, Jae Pyoung Kim, Soyi Jung, Jihong Park, Mehdi Bennis, Joongheon Kim:
Slimmable Quantum Federated Learning. CoRR abs/2207.10221 (2022)
[i69]
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Won Joon Yun, Jihong Park, Joongheon Kim:
Quantum Multi-Agent Meta Reinforcement Learning. CoRR abs/2208.11510 (2022)
[i68]
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Haemin Lee, Seok Bin Son, Won Joon Yun, Joongheon Kim, Soyi Jung, Dong Hwa Kim:
Spatio-Temporal Attack Course-of-Action (COA) Search Learning for Scalable and Time-Varying Networks. CoRR abs/2209.00862 (2022)
[i67]
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Hankyul Baek, Won Joon Yun, Joongheon Kim:
Scalable Quantum Convolutional Neural Networks. CoRR abs/2209.12372 (2022)
[i66]
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Won Joon Yun, Soohyun Park, Joongheon Kim, David Mohaisen:
Self-Configurable Stabilized Real-Time Detection Learning for Autonomous Driving Applications. CoRR abs/2209.14525 (2022)
[i65]
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Chanyoung Park, Haemin Lee, Won Joon Yun, Soyi Jung, Carlos Cordeiro, Joongheon Kim:
Cooperative Multi-Agent Deep Reinforcement Learning for Reliable and Energy-Efficient Mobile Access via Multi-UAV Control. CoRR abs/2210.00945 (2022)
[i64]
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Soohyun Park, Chanyoung Park, Soyi Jung, Minseok Choi, Joongheon Kim:
Age-of-Information Aware Contents Caching and Distribution for Connected Vehicles. CoRR abs/2210.01536 (2022)
[i63]
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Hankyul Baek, Won Joon Yun, Joongheon Kim:
3D Scalable Quantum Convolutional Neural Networks for Point Cloud Data Processing in Classification Applications. CoRR abs/2210.09728 (2022)
[i62]
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Ju-Hyung Lee, Dong-Ho Lee, Eunsoo Sheen, Thomas Choi, Jay Pujara, Joongheon Kim:
Seq2Seq-SC: End-to-End Semantic Communication Systems with Pre-trained Language Model. CoRR abs/2210.15237 (2022)
[i61]
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Ülkü Meteriz-Yildiran, Necip Fazil Yildiran, Joongheon Kim, David Mohaisen:
Learning Location from Shared Elevation Profiles in Fitness Apps: A Privacy Perspective. CoRR abs/2210.15529 (2022)
[i60]
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Won Joon Yun, Hankyul Baek, Joongheon Kim:
Projection Valued Measure-based Quantum Machine Learning for Multi-Class Classification. CoRR abs/2210.16731 (2022)
[i59]
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Hankyul Baek, Yoo Jeong Ha, Minjae Yoo, Soyi Jung, Joongheon Kim:
Neural Architectural Nonlinear Pre-Processing for mmWave Radar-based Human Gesture Perception. CoRR abs/2211.03502 (2022)
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Won Joon Yun, Hankyul Baek, Joongheon Kim:
Quantum Split Neural Network Learning using Cross-Channel Pooling. CoRR abs/2211.06524 (2022)
[i57]
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Chanyoung Park, Soohyun Park, Gyu Seon Kim, Soyi Jung, Jae-Hyun Kim, Joongheon Kim:
Multi-Agent Deep Reinforcement Learning for Efficient Passenger Delivery in Urban Air Mobility. CoRR abs/2211.06890 (2022)
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Chanyoung Park, Jae Pyoung Kim, Won Joon Yun, Soyi Jung, Joongheon Kim:
Visual Simulation Software Demonstration for Quantum Multi-Drone Reinforcement Learning. CoRR abs/2211.15375 (2022)
[i55]
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Won Joon Yun, Jae Pyoung Kim, Hankyul Baek, Soyi Jung, Jihong Park, Mehdi Bennis, Joongheon Kim:
Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding. CoRR abs/2212.01732 (2022)
2021
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Soohyun Park, Won-Yong Shin, Minseok Choi, Joongheon Kim:
Joint Mobile Charging and Coverage-Time Extension for Unmanned Aerial Vehicles. IEEE Access 9: 94053-94063 (2021)
[j73]
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Yoo Jeong Ha, Minjae Yoo, Gusang Lee, Soyi Jung, Sae Won Choi, Joongheon Kim, Seehwan Yoo:
Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms: Case Studies With COVID-19 CT, X-Ray, and Cholesterol Data. IEEE Access 9: 121046-121059 (2021)
[j72]
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Won Joon Yun, Soyi Jung, Joongheon Kim, Jae-Hyun Kim:
Distributed deep reinforcement learning for autonomous aerial eVTOL mobility in drone taxi applications. ICT Express 7(1): 1-4 (2021)
[j71]
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Haemin Lee, Soyi Jung, Joongheon Kim:
Truthful electric vehicle charging via neural-architectural Myerson auction. ICT Express 7(2): 196-199 (2021)
[j70]
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Ashar Ahmad, Abdulrahman Alabduljabbar, Muhammad Saad, Daehun Nyang, Joongheon Kim, David Mohaisen:
Empirically comparing the performance of blockchain's consensus algorithms. IET Blockchain 1(1): 56-64 (2021)
[j69]
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Minseok Choi, Myungjae Shin, Joongheon Kim:
Dynamic video delivery using deep reinforcement learning for device-to-device underlaid cache-enabled Internet-of-vehicle networks. J. Commun. Networks 23(2): 117-128 (2021)
[j68]
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Dohyun Kim, Soohyun Park, Joongheon Kim, Jae Young Bang, Soyi Jung:
Stabilized adaptive sampling control for reliable real-time learning-based surveillance systems. J. Commun. Networks 23(2): 129-137 (2021)
[j67]
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Muhammad Saad, Joongheon Kim, DaeHun Nyang, David Mohaisen:
Contra-∗: Mechanisms for countering spam attacks on blockchain's memory pools. J. Netw. Comput. Appl. 179: 102971 (2021)
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Soyi Jung, Joongheon Kim:
Adaptive and stabilized real-time super-resolution control for UAV-assisted smart harbor surveillance platforms. J. Real Time Image Process. 18(5): 1815-1825 (2021)
[j65]
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Jihong Park, Sumudu Samarakoon, Anis Elgabli, Joongheon Kim, Mehdi Bennis, Seong-Lyun Kim, Mérouane Debbah:
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications. Proc. IEEE 109(5): 796-819 (2021)
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Soohyun Park, Soyi Jung, Haemin Lee, Joongheon Kim, Jae-Hyun Kim:
Large-Scale Water Quality Prediction Using Federated Sensing and Learning: A Case Study with Real-World Sensing Big-Data. Sensors 21(4): 1462 (2021)
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Dohyun Kim, Dohyun Kwon, Laihyuk Park, Joongheon Kim, Sungrae Cho:
Multiscale LSTM-Based Deep Learning for Very-Short-Term Photovoltaic Power Generation Forecasting in Smart City Energy Management. IEEE Syst. J. 15(1): 346-354 (2021)
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Soyi Jung, Joongheon Kim, Jae-Hyun Kim:
Intelligent Active Queue Management for Stabilized QoS Guarantees in 5G Mobile Networks. IEEE Syst. J. 15(3): 4293-4302 (2021)
[j61]
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Adeel Malik, Joongheon Kim, Kwang Soon Kim, Won-Yong Shin:
A Personalized Preference Learning Framework for Caching in Mobile Networks. IEEE Trans. Mob. Comput. 20(6): 2124-2139 (2021)
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Soyi Jung, Won Joon Yun, Myungjae Shin, Joongheon Kim, Jae-Hyun Kim:
Orchestrated Scheduling and Multi-Agent Deep Reinforcement Learning for Cloud-Assisted Multi-UAV Charging Systems. IEEE Trans. Veh. Technol. 70(6): 5362-5377 (2021)
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Soyi Jung, Joongheon Kim, Marco Levorato, Carlos Cordeiro, Jae-Hyun Kim:
Infrastructure-Assisted on-Driving Experience Sharing for Millimeter-Wave Connected Vehicles. IEEE Trans. Veh. Technol. 70(8): 7307-7321 (2021)
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Minseok Choi, Andreas F. Molisch, Dong-Jun Han, Dongjae Kim, Joongheon Kim, Jaekyun Moon:
Probabilistic Caching and Dynamic Delivery Policies for Categorized Contents and Consecutive User Demands. IEEE Trans. Wirel. Commun. 20(4): 2685-2699 (2021)
[c106]
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Joongheon Kim, Yunseok Kwak, Soyi Jung, Jae-Hyun Kim:
Quantum Scheduling for Millimeter-Wave Observation Satellite Constellation. APWCS 2021: 1-5
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Haemin Lee, Soyi Jung, Joongheon Kim:
Distributed and Autonomous Aerial Data Collection in Smart City Surveillance Applications. APWCS 2021: 1-3
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Joongheon Kim, Seunghoon Park, Soyi Jung, Seehwan Yoo:
Spatio-Temporal Split Learning. DSN (Supplements) 2021: 11-12
[c103]
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Dohyun Kim, Joongheon Kim:
Non-Local Self-Attention Mechanism for Real-Time Context Embedding Deep Shadow Removal Network. ICOIN 2021: 43-45
[c102]
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Jaeho Choi, Seunghyeok Oh, Joongheon Kim:
A Tutorial on Quantum Graph Recurrent Neural Network (QGRNN). ICOIN 2021: 46-49
[c101]
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Seunghyeok Oh, Jaeho Choi, Jong-Kook Kim, Joongheon Kim:
Quantum Convolutional Neural Network for Resource-Efficient Image Classification: A Quantum Random Access Memory (QRAM) Approach. ICOIN 2021: 50-52
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Hyomin Ahn, Junghyun Kim, Joongheon Kim:
Auction-based Truthful Distributed Resource Allocation for Smart Grid Systems. ICOIN 2021: 53-55
[c99]
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Joongheon Kim, Myungjae Shin, Dohyun Kim, Soohyun Park, Yeongeun Kang, Junghyun Kim, Haemin Lee, Won Joon Yun, Jaeho Choi, Seunghoon Park, Seunghyeok Oh, Jaesung Yoo:
Performance Comparison of SRCNN, VDSR, and SRDenseNet Deep Learning Models in Embedded Autonomous Driving Platforms. ICOIN 2021: 56-58
[c98]
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Soyi Jung, Won Joon Yun, Joongheon Kim, Jae-Hyun Kim:
Infrastructure-Assisted Cooperative Multi-UAV Deep Reinforcement Energy Trading Learning for Big-Data Processing. ICOIN 2021: 159-162
[c97]
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Junghyun Kim, Joongheon Kim:
Access Management using Vickrey-Clarke-Groves Auction in Terrestrial-Drone Networks. ICOIN 2021: 317-320
[c96]
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JooYong Shim, Joongheon Kim, Jong-Kook Kim:
On the Tradeoff between Computation-Time and Learning-Accuracy in GAN-based Super-Resolution Deep Learning. ICOIN 2021: 422-424
[c95]
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Haemin Lee, Soohyun Park, Junghyun Kim, Joongheon Kim:
Auction-based Deep Learning Computation Offloading for Truthful Edge Computing: A Myerson Auction Approach. ICOIN 2021: 457-459
[c94]
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Jaeho Choi, Seunghyeok Oh, Soohyun Park, Jong-Kook Kim, Joongheon Kim:
Proper Cost Hamiltonian Design for Combinatorial Optimization Problems: A Boolean Function Approach. ICOIN 2021: 469-472
[c93]
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Hee won Kwon, Jae-Won Nam, Joongheon Kim, Youn Kyu Lee:
Generative Adversarial Attacks on Fingerprint Recognition Systems. ICOIN 2021: 483-485
[c92]
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Taek-Young Youn, Joongheon Kim, Seog Chung Seo:
Efficient Data Delivery in Content-Centric Network with Stronger Privacy of Publisher. ICOIN 2021: 511-513
[c91]
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Myungjae Shin, David Mohaisen, Joongheon Kim:
Bitcoin Price Forecasting via Ensemble-based LSTM Deep Learning Networks. ICOIN 2021: 603-608
[c90]
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Ashar Ahmad, Muhammad Saad, Joongheon Kim, DaeHun Nyang, David Mohaisen:
Performance Evaluation of Consensus Protocols in Blockchain-based Audit Systems. ICOIN 2021: 654-656
[c89]
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Myungjae Shin, Joongheon Kim:
Joint Behavioral Cloning and Reinforcement Learning Method for Propofol and Remifentanil Infusion in Anesthesia. ICOIN 2021: 849-852
[c88]
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Won Joon Yun, Yoo Jeong Ha, Soyi Jung, Joongheon Kim:
Autonomous Aerial Mobility Learning for Drone-Taxi Flight Control. ICTC 2021: 329-332
[c87]
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Yunseok Kwak, Won Joon Yun, Soyi Jung, Jong-Kook Kim, Joongheon Kim:
Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation. ICTC 2021: 416-420
[c86]
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Youngkee Kim, Won Joon Yun, Youn Kyu Lee, Soyi Jung, Joongheon Kim:
Trends in Neural Architecture Search: Towards the Acceleration of Search. ICTC 2021: 421-424
[c85]
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Yunseok Kwak, Won Joon Yun, Soyi Jung, Joongheon Kim:
Quantum Neural Networks: Concepts, Applications, and Challenges. ICUFN 2021: 413-416
[c84]
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S.-K. Park, Joongheon Kim:
Trends in LEO Satellite Handover Algorithms. ICUFN 2021: 422-425
[c83]
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Haemin Lee, Joongheon Kim:
Trends in Blockchain and Federated Learning for Data Sharing in Distributed Platforms. ICUFN 2021: 430-433
[c82]
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Yoo Jeong Ha, Minjae Yoo, Soohyun Park, Soyi Jung, Joongheon Kim:
Secure Aerial Surveillance using Split Learning. ICUFN 2021: 434-437
[c81]
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Gusang Lee, Won Joon Yun, Soyi Jung, Joongheon Kim, Jae-Hyun Kim:
Visualization of Deep Reinforcement Autonomous Aerial Mobility Learning Simulations. INFOCOM Workshops 2021: 1-2
[c80]
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Won Joon Yun, Byungju Lim, Soyi Jung, Young-Chai Ko, Jihong Park, Joongheon Kim, Mehdi Bennis:
Attention-based Reinforcement Learning for Real-Time UAV Semantic Communication. ISWCS 2021: 1-6
[c79]
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Won Joon Yun, Sungwon Yi, Joongheon Kim:
Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games. SMC 2021: 2967-2972
[i54]
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Gusang Lee, Won Joon Yun, Soyi Jung, Joongheon Kim, Jae-Hyun Kim:
Visualization of Deep Reinforcement Autonomous Aerial Mobility Learning Simulations. CoRR abs/2102.08761 (2021)
[i53]
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  - journals/corr/abs-2105-10211
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Won Joon Yun, Sungwon Yi, Joongheon Kim:
Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games. CoRR abs/2105.10211 (2021)
[i52]
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Won Joon Yun, Byungju Lim, Soyi Jung, Young-Chai Ko, Jihong Park, Joongheon Kim, Mehdi Bennis:
Attention-based Reinforcement Learning for Real-Time UAV Semantic Communication. CoRR abs/2105.10716 (2021)
[i51]
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Soohyun Park, Won-Yong Shin, Minseok Choi, Joongheon Kim:
Joint Mobile Charging and Coverage-Time Extension for Unmanned Aerial Vehicles. CoRR abs/2106.14203 (2021)
[i50]
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Soohyun Park, Joongheon Kim:
Trends in LEO Satellite Handover Algorithms. CoRR abs/2107.08619 (2021)
[i49]
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Haemin Lee, Joongheon Kim:
Trends in Blockchain and Federated Learning for Data Sharing in Distributed Platforms. CoRR abs/2107.08624 (2021)
[i48]
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Yoo Jeong Ha, Minjae Yoo, Soohyun Park, Soyi Jung, Joongheon Kim:
Secure Aerial Surveillance using Split Learning. CoRR abs/2107.08628 (2021)
[i47]
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Joongheon Kim, Yunseok Kwak, Soyi Jung, Jae-Hyun Kim:
Quantum Scheduling for Millimeter-Wave Observation Satellite Constellation. CoRR abs/2108.00626 (2021)
[i46]
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Yunseok Kwak, Won Joon Yun, Soyi Jung, Joongheon Kim:
Quantum Neural Networks: Concepts, Applications, and Challenges. CoRR abs/2108.01468 (2021)
[i45]
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Joongheon Kim, Seunghoon Park, Soyi Jung, Seehwan Yoo:
Spatio-Temporal Split Learning. CoRR abs/2108.06309 (2021)
[i44]
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Yunseok Kwak, Won Joon Yun, Soyi Jung, Jong-Kook Kim, Joongheon Kim:
Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation. CoRR abs/2108.06849 (2021)
[i43]
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Youngkee Kim, Won Joon Yun, Youn Kyu Lee, Soyi Jung, Joongheon Kim:
Trends in Neural Architecture Search: Towards the Acceleration of Search. CoRR abs/2108.08474 (2021)
[i42]
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Yoo Jeong Ha, Minjae Yoo, Gusang Lee, Soyi Jung, Sae Won Choi, Joongheon Kim, Seehwan Yoo:
Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms: Case Studies with COVID-19 CT, X-Ray, and Cholesterol Data. CoRR abs/2108.10147 (2021)
[i41]
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Dohyeon Kim, Joongheon Kim, Jae Young Bang:
A Reliable, Self-Adaptive Face Identification Framework via Lyapunov Optimization. CoRR abs/2109.01212 (2021)
[i40]
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Myungjae Shin, Joongheon Kim:
Adversarial Imitation Learning via Random Search in Lane Change Decision-Making. CoRR abs/2109.05197 (2021)
[i39]
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Minseok Choi, Won Joon Yun, Joongheon Kim:
Delay-Sensitive and Power-Efficient Quality Control of Dynamic Video Streaming using Adaptive Super-Resolution. CoRR abs/2110.05783 (2021)
[i38]
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Hyunsoo Lee, Haemin Lee, Soyi Jung, Joongheon Kim:
Stable Marriage Matching for Traffic-Aware Space-Air-Ground Integrated Networks: A Gale-Shapley Algorithmic Approach. CoRR abs/2110.08796 (2021)
[i37]
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Won Joon Yun, Dohyun Kwon, Minseok Choi, Joongheon Kim, Giuseppe Caire, Andreas F. Molisch:
Quality-Aware Deep Reinforcement Learning for Streaming in Infrastructure-Assisted Connected Vehicles. CoRR abs/2111.09425 (2021)
[i36]
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Yoo Jeong Ha, Soyi Jung, Jae-Hyun Kim, Marco Levorato, Joongheon Kim:
Spatio-Temporal Split Learning for Autonomous Aerial Surveillance using Urban Air Mobility (UAM) Networks. CoRR abs/2111.11856 (2021)
[i35]
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  - journals/corr/abs-2112-02543
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Hankyul Baek, Won Joon Yun, Yunseok Kwak, Soyi Jung, Mingyue Ji, Mehdi Bennis, Jihong Park, Joongheon Kim:
Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks. CoRR abs/2112.02543 (2021)
[i34]
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Hankyul Baek, Won Joon Yun, Soyi Jung, Jihong Park, Mingyue Ji, Joongheon Kim, Mehdi Bennis:
Communication and Energy Efficient Slimmable Federated Learning via Superposition Coding and Successive Decoding. CoRR abs/2112.03267 (2021)
[i33]
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Haemin Lee, Hyunhee Cho, Soyi Jung, Joongheon Kim:
The Credibility Cryptocurrency Valuation: Statistical Learning Analysis for Influencer Tweets. CoRR abs/2112.08579 (2021)
[i32]
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Won Joon Yun, Myungjae Shin, Soyi Jung, Sean Soek-Chul Kwon, Joongheon Kim:
Parallelized and Randomized Adversarial Imitation Learning for Safety-Critical Self-Driving Vehicles. CoRR abs/2112.14710 (2021)
2020
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Minseok Choi, Joongheon Kim:
Blind Signal Classification Analysis and Impact on User Pairing and Power Allocation in Nonorthogonal Multiple Access. IEEE Access 8: 100916-100929 (2020)
[j56]
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Dohyun Kwon, Joohyung Jeon, Soohyun Park, Joongheon Kim, Sungrae Cho:
Multiagent DDPG-Based Deep Learning for Smart Ocean Federated Learning IoT Networks. IEEE Internet Things J. 7(10): 9895-9903 (2020)
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Khac-Hoai Nam Bui, Sungrae Cho, Jason J. Jung, Joongheon Kim, O-Joun Lee, Woongsoo Na:
A novel network virtualization based on data analytics in connected environment. J. Ambient Intell. Humaniz. Comput. 11(1): 75-86 (2020)
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Sungmin Han, Ji-Woong Choi, Joongheon Kim:
Numerical approximation of millimeter-wave frequency sharing between cellular systems and fixed service systems. J. Commun. Networks 22(1): 37-45 (2020)
[j53]
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Dohyun Kwon, Joongheon Kim, David A. Mohaisen, Wonjun Lee:
Self-adaptive power control with deep reinforcement learning for millimeter-wave Internet-of-vehicles video caching. J. Commun. Networks 22(4): 326-337 (2020)
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SooHyun Park, Yeongeun Kang, Jeman Park, Joongheon Kim:
Self-Controllable Super-Resolution Deep Learning Framework for Surveillance Drones in Security Applications. EAI Endorsed Trans. Security Safety 7(23): e5 (2020)
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Muhammad Saad, Jinchun Choi, DaeHun Nyang, Joongheon Kim, Aziz Mohaisen:
Toward Characterizing Blockchain-Based Cryptocurrencies for Highly Accurate Predictions. IEEE Syst. J. 14(1): 321-332 (2020)
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Myungjae Shin, Dae-Hyun Choi, Joongheon Kim:
Cooperative Management for PV/ESS-Enabled Electric Vehicle Charging Stations: A Multiagent Deep Reinforcement Learning Approach. IEEE Trans. Ind. Informatics 16(5): 3493-3503 (2020)
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Minseok Choi, Andreas F. Molisch, Joongheon Kim:
Joint Distributed Link Scheduling and Power Allocation for Content Delivery in Wireless Caching Networks. IEEE Trans. Wirel. Commun. 19(12): 7810-7824 (2020)
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Van Hoa Nguyen, Van Bui, Joongheon Kim, Yeong Min Jang:
Power Demand Forecasting Using Long Short-Term Memory Neural Network based Smart Grid. ICAIIC 2020: 388-391
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Van Bui, Van Hoa Nguyen, Tung Lam Pham, Joongheon Kim, Yeong Min Jang:
RNN-based Deep Learning for One-hour ahead Load Forecasting. ICAIIC 2020: 587-589
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Minseok Choi, Andreas F. Molisch, Joongheon Kim:
User Scheduling and Power Allocation for Content Delivery in Caching Helper Networks. ICC 2020: 1-6
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Ülkü Meteriz, Necip Fazil Yildiran, Joongheon Kim, David Mohaisen:
Understanding the Potential Risks of Sharing Elevation Information on Fitness Applications. ICDCS 2020: 464-473
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Jaeho Choi, Seunghyeok Oh, Joongheon Kim:
The Useful Quantum Computing Techniques for Artificial Intelligence Engineers. ICOIN 2020: 1-3
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Dohyun Kim, Dohyun Kwon, SooHyun Park, Joongheon Kim:
Learning-based Dot-Grid Alignment for Projection Distortion Correction. ICOIN 2020: 4-6
[c72]
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Joohyung Jeon, Joongheon Kim:
Privacy-Sensitive Parallel Split Learning. ICOIN 2020: 7-9
[c71]
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SooHyun Park, Yeongeun Kang, Yafei Tian, Joongheon Kim:
Fast and Reliable Offloading via Deep Reinforcement Learning for Mobile Edge Video Computing. ICOIN 2020: 10-12
[c70]
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JooYong Shim, Joongheon Kim, Jong-Kook Kim:
S2I-Bird: Sound-to-Image Generation of Bird Species using Generative Adversarial Networks. ICPR 2020: 2226-2232
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Jaeho Choi, Joongheon Kim:
Kirchhoff's Circuit Law Applications to Graph Simplification in Search Problems. ICTC 2020: 81-86
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Minseok Choi, Joongheon Kim:
Video Placements and Dynamic Streaming Services in Wireless Caching Networks. ICTC 2020: 87-92
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Soohyun Park, Jeman Park, David Mohaisen, Joongheon Kim:
Reinforced Edge Selection using Deep Learning for Robust Surveillance in Unmanned Aerial Vehicles. ICTC 2020: 96-99
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Jaesung Yoo, Jeman Park, An Wang, David Mohaisen, Joongheon Kim:
On the Performance of Generative Adversarial Network (GAN) Variants: A Clinical Data Study. ICTC 2020: 100-104
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Seunghyeok Oh, Jaeho Choi, Joongheon Kim:
A Tutorial on Quantum Convolutional Neural Networks (QCNN). ICTC 2020: 236-239
[c64]
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Won Joon Yun, Joongheon Kim:
3D Modeling and WebVR Implementation using Azure Kinect, Open3D, and Three.js. ICTC 2020: 240-243
[c63]
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Junghyun Kim, Thong D. Ngo, Paul S. Oh, Sean Soek-Chul Kwon, Changhee Han, Joongheon Kim:
Economic Theoretic LEO Satellite Coverage Control: An Auction-based Framework. ICTC 2020: 258-260
[c62]
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Minseok Choi, Andreas F. Molisch, Dong-Jun Han, Joongheon Kim, Jaekyun Moon:
Cache Allocations for Consecutive Requests of Categorized Contents: Service Provider's Perspective. WCNC 2020: 1-6
[i31]
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Dohyun Kwon, Joongheon Kim:
Multi-Agent Deep Reinforcement Learning for Cooperative Connected Vehicles. CoRR abs/2001.02337 (2020)
[i30]
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Joohyung Jeon, Junhui Kim, Joongheon Kim, Kwangsoo Kim, Aziz Mohaisen, Jong-Kook Kim:
Privacy-Preserving Deep Learning Computation for Geo-Distributed Medical Big-Data Platforms. CoRR abs/2001.02932 (2020)
[i29]
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Junhui Kim, Joongheon Kim:
Demo: Light-Weight Programming Language for Blockchain. CoRR abs/2001.03365 (2020)
[i28]
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Myungjae Shin, Joongheon Kim, Marco Levorato:
Auction-based Charging Scheduling with Deep Learning Framework for Multi-Drone Networks. CoRR abs/2001.03611 (2020)
[i27]
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Minseok Choi, Andreas F. Molisch, Dong-Jun Han, Joongheon Kim, Jaekyun Moon:
Cache Allocations for Consecutive Requests of Categorized Contents: Service Provider's Perspective. CoRR abs/2002.06254 (2020)
[i26]
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Jaeho Choi, Seunghyeok Oh, Joongheon Kim:
Quantum Approximation for Multi-Scale Scheduling. CoRR abs/2004.11229 (2020)
[i25]
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Muhammad Saad, Joongheon Kim, DaeHun Nyang, David Mohaisen:
Contra-*: Mechanisms for Countering Spam Attacks on Blockchain Memory Pools. CoRR abs/2005.04842 (2020)
[i24]
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Myungjae Shin, Chihoon Hwang, Joongheon Kim, Jihong Park, Mehdi Bennis, Seong-Lyun Kim:
XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning. CoRR abs/2006.05148 (2020)
[i23]
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Jihong Park, Sumudu Samarakoon, Anis Elgabli, Joongheon Kim, Mehdi Bennis, Seong-Lyun Kim, Mérouane Debbah:
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications. CoRR abs/2008.02608 (2020)
[i22]
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Myungjae Shin, Joongheon Kim:
Adversarial Imitation Learning via Random Search. CoRR abs/2008.09450 (2020)
[i21]
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Won Joon Yun, Joongheon Kim:
3D Modeling and WebVR Implementation using Azure Kinect, Open3D, and Three.js. CoRR abs/2009.09357 (2020)
[i20]
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Jaesung Yoo, Jeman Park, An Wang, David Mohaisen, Joongheon Kim:
On the Performance of Generative Adversarial Network (GAN) Variants: A Clinical Data Study. CoRR abs/2009.09579 (2020)
[i19]
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Junghyun Kim, Thong D. Ngo, Paul S. Oh, Sean Soek-Chul Kwon, Changhee Han, Joongheon Kim:
Economic Theoretic LEO Satellite Coverage Control: An Auction-based Framework. CoRR abs/2009.09619 (2020)
[i18]
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SooHyun Park, Jeman Park, David Mohaisen, Joongheon Kim:
Reinforced Edge Selection using Deep Learning for Robust Surveillance in Unmanned Aerial Vehicles. CoRR abs/2009.09647 (2020)
[i17]
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Jaeho Choi, Joongheon Kim:
Kirchhoff's Circuit Law Applications to Graph Simplification in Search Problems. CoRR abs/2009.11675 (2020)

2010 – 2019

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What is the meaning of the colors in the publication lists?

2019
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Laihyuk Park, Seohyeon Jeong, Demeke Shumeye Lakew, Joongheon Kim, Sungrae Cho:
New Challenges of Wireless Power Transfer and Secured Billing for Internet of Electric Vehicles. IEEE Commun. Mag. 57(3): 118-124 (2019)
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Jeffrey Spaulding, Jeman Park, Joongheon Kim, DaeHun Nyang, Aziz Mohaisen:
Thriving on chaos: Proactive detection of command and control domains in internet of things-scale botnets using DRIFT. Trans. Emerg. Telecommun. Technol. 30(4) (2019)
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Nhu-Ngoc Dao, Minho Park, Joongheon Kim, Jeongyeup Paek, Sungrae Cho:
Resource-aware relay selection for inter-cell interference avoidance in 5G heterogeneous network for Internet of Things systems. Future Gener. Comput. Syst. 93: 877-887 (2019)
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Laihyuk Park, Chunghyun Lee, Joongheon Kim, Aziz Mohaisen, Sungrae Cho:
Two-Stage IoT Device Scheduling With Dynamic Programming for Energy Internet Systems. IEEE Internet Things J. 6(5): 8782-8791 (2019)
[j44]
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Woojoo Lee, Taewook Kang, Jae-Jin Lee, Kyuseung Han, Joongheon Kim, Massoud Pedram:
TEI-ULP: Exploiting Body Biasing to Improve the TEI-Aware Ultralow Power Methods. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(9): 1758-1770 (2019)
[j43]
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Laihyuk Park, Seohyeon Jeong, Joongheon Kim, Sungrae Cho:
Joint Geometric Unsupervised Learning and Truthful Auction for Local Energy Market. IEEE Trans. Ind. Electron. 66(2): 1499-1508 (2019)
[j42]
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Jonghoe Koo, Juheon Yi, Joongheon Kim, Mohammad Ashraful Hoque, Sunghyun Choi:
Seamless Dynamic Adaptive Streaming in LTE/Wi-Fi Integrated Network under Smartphone Resource Constraints. IEEE Trans. Mob. Comput. 18(7): 1647-1660 (2019)
[j41]
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Myungjae Shin, Joongheon Kim, Marco Levorato:
Auction-Based Charging Scheduling With Deep Learning Framework for Multi-Drone Networks. IEEE Trans. Veh. Technol. 68(5): 4235-4248 (2019)
[j40]
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Minseok Choi, Daejung Yoon, Joongheon Kim:
Blind Signal Classification for Non-Orthogonal Multiple Access in Vehicular Networks. IEEE Trans. Veh. Technol. 68(10): 9722-9734 (2019)
[j39]
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Minseok Choi, Joongheon Kim, Jaekyun Moon:
Dynamic Power Allocation and User Scheduling for Power-Efficient and Delay-Constrained Multiple Access Networks. IEEE Trans. Wirel. Commun. 18(10): 4846-4858 (2019)
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Minseok Choi, Albert No, Mingyue Ji, Joongheon Kim:
Markov Decision Policies for Dynamic Video Delivery in Wireless Caching Networks. IEEE Trans. Wirel. Commun. 18(12): 5705-5718 (2019)
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Sungwon Seo, Jong-Kook Kim, Sung-Il Kim, Jeewoo Kim, Joongheon Kim:
Semantic Hashtag Relation Classification Using Co-occurrence Word Information. Wirel. Pers. Commun. 107(3): 1355-1365 (2019)
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Ki Won Sung, Sachin Sharma, Giuseppe Destino, Yansha Deng, Toktam Mahmoodi, Markus Ullmann, Achim Nahler, Yeosun Kyung, Seunghwan Kim, Sejin Seo, Seong-Lyun Kim, Edward Mutafungwa, Riku Jäntti, Minseok Choi, Joohyung Jeon, Dohyun Kim, Joongheon Kim, José Costa-Requena, Anders Nordlöw:
PriMO-5G: making firefighting smarter with immersive videos through 5G. 5G World Forum 2019: 280-285
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SooHyun Park, Junhui Kim, Dohyun Kwon, Myungjae Shin, Joongheon Kim:
Joint Offloading and Streaming in Mobile Edges: A Deep Reinforcement Learning Approach. APWCS 2019: 1-4
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Joohyung Jeon, Junhui Kim, Joongheon Kim, Kwangsoo Kim, Aziz Mohaisen, Jong-Kook Kim:
Privacy-Preserving Deep Learning Computation for Geo-Distributed Medical Big-Data Platforms. DSN (Supplements) 2019: 3-4
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Dohyun Kwon, Joongheon Kim:
Multi-Agent Deep Reinforcement Learning for Cooperative Connected Vehicles. GLOBECOM 2019: 1-6
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Joohyung Jeon, Dohyun Kim, Joongheon Kim:
Cyclic Parameter Sharing for Privacy-Preserving Distributed Deep Learning Platforms. ICAIIC 2019: 435-437
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Kyeong Seon Kim, Dohyun Kim, Joongheon Kim:
Hardness on Style Transfer Deep Learning for Rococo Painting Masterpieces. ICAIIC 2019: 452-454
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Muhammad Saad, Laurent Njilla, Charles A. Kamhoua, Joongheon Kim, DaeHun Nyang, Aziz Mohaisen:
Mempool optimization for Defending Against DDoS Attacks in PoW-based Blockchain Systems. IEEE ICBC 2019: 285-292
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Minseok Choi, Dongjae Kim, Dong-Jun Han, Joongheon Kim, Jaekyun Moon:
Probabilistic Caching Policy for Categorized Contents and Consecutive User Demands. ICC 2019: 1-6
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Dohyun Kwon, Joongheon Kim:
Optimal Trajectory Learning for UAV-BS Video Provisioning System: A Deep Reinforcement Learning Approach. ICOIN 2019: 372-374
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Jaeho Choi, Joongheon Kim:
A Tutorial on Quantum Approximate Optimization Algorithm (QAOA): Fundamentals and Applications. ICTC 2019: 138-142
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Joohyung Jeon, Joongheon Kim, Jeongwoo Huh, Hyunbum Kim, Sungrae Cho:
Overview of Distributed Federated Learning: Research Issues, Challenges, and Biomedical Applications. ICTC 2019: 1426-1427
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Myungjae Shin, Joongheon Kim:
Randomized Adversarial Imitation Learning for Autonomous Driving. IJCAI 2019: 4590-4596
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Dohyun Kim, Joongheon Kim, Junseok Kwon, Tae-Hyung Kim:
Depth-Controllable Very Deep Super-Resolution Network. IJCNN 2019: 1-8
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Myungjae Shin, Joongheon Kim:
Adversarial Imitation Learning via Random Search. IJCNN 2019: 1-8
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Dohyun Kwon, SooHyun Park, Joongheon Kim:
Multi-Agent Deep Reinforcement Learning for Connected Vehicles. MobiSys 2019: 524-525
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Junhui Kim, Joongheon Kim:
Light-Weight Programming Language for Blockchain. MobiSys 2019: 653-654
[i16]
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Aziz Mohaisen, Omar Alrawi, Jeman Park, Joongheon Kim, DaeHun Nyang, Manar Mohaisen:
Network-based Analysis and Classification of Malware using Behavioral Artifacts Ordering. CoRR abs/1901.01185 (2019)
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Minseok Choi, Joongheon Kim:
Blind Signal Classification Analysis and Impact on User Scheduling and Power Allocation in Nonorthogonal Multiple Access. CoRR abs/1902.02090 (2019)
[i14]
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Minseok Choi, Albert No, Mingyue Ji, Joongheon Kim:
Markov Decision Policies for Dynamic Video Delivery in Wireless Caching Networks. CoRR abs/1902.10932 (2019)
[i13]
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Adeel Malik, Joongheon Kim, Won-Yong Shin:
A Personalized Preference Learning Framework for Caching in Mobile Networks. CoRR abs/1904.06744 (2019)
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Myungjae Shin, Joongheon Kim:
Randomized Adversarial Imitation Learning for Autonomous Driving. CoRR abs/1905.05637 (2019)
[i11]
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Dohyun Kim, Kyeorye Lee, Jiyeon Kim, Junseok Kwon, Joongheon Kim:
Deep ensemble network with explicit complementary model for accuracy-balanced classification. CoRR abs/1908.03671 (2019)
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Minseok Choi, Andreas F. Molisch, Joongheon Kim:
Joint Distributed Link Scheduling and Power Allocation for Content Delivery in Wireless Caching Networks. CoRR abs/1911.13010 (2019)
2018
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Shin-Young Ahn, Joongheon Kim, Eunji Lim, Sungwon Kang:
Soft Memory Box: A Virtual Shared Memory Framework for Fast Deep Neural Network Training in Distributed High Performance Computing. IEEE Access 6: 26493-26504 (2018)
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Woongsoo Na, Junho Park, Cheol Lee, Kyoungjun Park, Joongheon Kim, Sungrae Cho:
Energy-Efficient Mobile Charging for Wireless Power Transfer in Internet of Things Networks. IEEE Internet Things J. 5(1): 79-92 (2018)
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Seohyeon Jeong, Woongsoo Na, Joongheon Kim, Sungrae Cho:
Internet of Things for Smart Manufacturing System: Trust Issues in Resource Allocation. IEEE Internet Things J. 5(6): 4418-4427 (2018)
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Minseok Choi, Joongheon Kim, Jaekyun Moon:
Wireless Video Caching and Dynamic Streaming Under Differentiated Quality Requirements. IEEE J. Sel. Areas Commun. 36(6): 1245-1257 (2018)
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Nhu-Ngoc Dao, Duc-Nghia Vu, Woongsoo Na, Joongheon Kim, Sungrae Cho:
SGCO: Stabilized Green Crosshaul Orchestration for Dense IoT Offloading Services. IEEE J. Sel. Areas Commun. 36(11): 2538-2548 (2018)
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Dohyun Kwon, Sang-Wook Kim, Joongheon Kim, Aziz Mohaisen:
Interference-Aware Adaptive Beam Alignment for Hyper-Dense IEEE 802.11ax Internet-of-Things Networks. Sensors 18(10): 3364 (2018)
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Aziz Mohaisen, Omar Alrawi, Jeman Park, Joongheon Kim, DaeHun Nyang, Manar Mohaisen:
Network-based Analysis and Classification of Malware using Behavioral Artifacts Ordering. EAI Endorsed Trans. Security Safety 5(16): e2 (2018)
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Minseok Choi, Joongheon Kim, Jaekyun Moon:
Adaptive Detector Selection for Queue-Stable Word Error Rate Minimization in Connected Vehicle Receiver Design. IEEE Trans. Veh. Technol. 67(4): 3635-3639 (2018)
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Sungmin Kim, Joongheon Kim:
POSTER: Mining with Proof-of-Probability in Blockchain. AsiaCCS 2018: 841-843
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Kyeong Seon Kim, Dohyun Kwon, Yejin Kim, Junhui Kim, Joongheon Kim:
Self-Adaptive Machine Learning Operating Systems for Security Applications. ICASSP 2018: 6946-6950
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Shin-Young Ahn, Joongheon Kim, Eunji Lim, Wan Choi, Aziz Mohaisen, Sungwon Kang:
ShmCaffe: A Distributed Deep Learning Platform with Shared Memory Buffer for HPC Architecture. ICDCS 2018: 1118-1128
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Jeffrey Spaulding, Jeman Park, Joongheon Kim, Aziz Mohaisen:
Proactive detection of algorithmically generated malicious domains. ICOIN 2018: 21-24
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Bokyung Seo, Myungjae Shin, Yeong Jong Mo, Joongheon Kim:
Top-down parsing for Neural Network Exchange Format (NNEF) in TensorFlow-based deep learning computation. ICOIN 2018: 522-524
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Dohyun Kwon, Joongheon Kim:
Distributed dynamic power-aware buffering for multi-Gbps video streaming in IEEE 802.11ad fast session transfer. ICOIN 2018: 886-890
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Sunjun Hwang, Kyeong Seon Kim, Yejin Kim, Junhui Kim, Miji Park, SooHyun Park, Joongheon Kim:
High-dimensional statistical supervised learning for extracting information in steganography. ICOIN 2018: 897-898
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Shin-Young Ahn, Joongheon Kim, Sungwon Kang:
A novel shared memory framework for distributed deep learning in high-performance computing architecture. ICSE (Companion Volume) 2018: 191-192
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Dohyun Kwon, Joongheon Kim:
Opportunistic Medium Access for Hyper-Dense Beamformed IEEE 802.11ax Wireless Networks. ICTC 2018: 198-200
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Dohyun Kim, Sung-Wook Hwang, Joongheon Kim:
Very Short-Term Photovoltaic Power Generation Forecasting with Convolutional Neural Networks. ICTC 2018: 1310-1312
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Joongheon Kim, Kyeong Seon Kim:
Detecting Selfish Backoff Attack in IEEE 802.15.4 CSMA/CA Using Logistic Classification. ICUFN 2018: 26-27
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Myungjae Shin, Joongheon Kim, Aziz Mohaisen, Jaebok Park, KyungHee Lee:
Neural Network Syntax Analyzer for Embedded Standardized Deep Learning. EMDL@MobiSys 2018: 37-41
[c33]
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Hyunjae Lee, Myungjae Shin, Kyeong Seon Kim, Yeongeun Kang, Joongheon Kim:
Recipient-Oriented Transaction for Preventing Double Spending Attacks in Private Blockchain. SECON 2018: 454-455
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Dohyun Kim, Junseok Kwon, Joongheon Kim:
Low-Complexity Online Model Selection with Lyapunov Control for Reward Maximization in Stabilized Real-Time Deep Learning Platforms. SMC 2018: 4363-4368
[i9]
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Minseok Choi, Joongheon Kim, Jaekyun Moon:
Wireless Video Caching and Dynamic Streaming under Differentiated Quality Requirements. CoRR abs/1806.01594 (2018)
[i8]
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Minseok Choi, Joongheon Kim, Jaekyun Moon:
Dynamic Power Allocation and User Scheduling for Power-Efficient and Low-Latency Communications. CoRR abs/1807.00682 (2018)
[i7]
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Minseok Choi, Daejung Yoon, Joongheon Kim:
Blind Signal Classification for Non-Orthogonal Multiple Access in Internet-of-Things Networks. CoRR abs/1807.07711 (2018)
2017
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Nhu-Ngoc Dao, Jun-Wook Lee, Duc-Nghia Vu, Jeongyeup Paek, Joongheon Kim, Sungrae Cho, Ki-Sook Chung, ChangSup Keum:
Adaptive Resource Balancing for Serviceability Maximization in Fog Radio Access Networks. IEEE Access 5: 14548-14559 (2017)
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Joongheon Kim, Jae-Jin Lee, Jong-Kook Kim, Woojoo Lee:
Energy-Efficient Stabilized Automatic Control for Multicore Baseband in Millimeter-Wave Systems. IEEE Access 5: 16584-16591 (2017)
[j26]
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Changmin Shin, Chaedeok Lim, Joongheon Kim, Heejun Roh, Wonjun Lee:
A Software-Based Monitoring Framework for Time-Space Partitioned Avionics Systems. IEEE Access 5: 19132-19143 (2017)
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Joongheon Kim, Aziz Mohaisen:
Distributed and reliable decision-making for cloud-enabled mobile service platforms. Int. J. Distributed Sens. Networks 13(8) (2017)
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Joongheon Kim, Wonjun Lee:
Feasibility Study of 60 GHz Millimeter-Wave Technologies for Hyperconnected Fog Computing Applications. IEEE Internet Things J. 4(5): 1165-1173 (2017)
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Joongheon Kim, Eun-Seok Ryu:
QoS optimal real-time video streaming in distributed wireless image-sensing platforms. J. Real Time Image Process. 13(3): 547-556 (2017)
[j22]
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Joongheon Kim, Jae-Jin Lee, Woojoo Lee:
Strategic Control of 60 GHz Millimeter-Wave High-Speed Wireless Links for Distributed Virtual Reality Platforms. Mob. Inf. Syst. 2017: 5040347:1-5040347:10 (2017)
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Laihyuk Park, Yongwoon Jang, Sungrae Cho, Joongheon Kim:
Residential Demand Response for Renewable Energy Resources in Smart Grid Systems. IEEE Trans. Ind. Informatics 13(6): 3165-3173 (2017)
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Sangmin Lee, Seungheon Hyeon, Joongheon Kim, Heejun Roh, Wonjun Lee:
The Useful Impact of Carrier Aggregation: A Measurement Study in South Korea for Commercial LTE-Advanced Networks. IEEE Veh. Technol. Mag. 12(1): 55-62 (2017)
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Khac-Hoai Nam Bui, Sungrae Cho, Jason J. Jung, Joongheon Kim, O-Joun Lee, Woongsoo Na:
Network Engineering: Towards Data-Driven Framework for Network Configuration. BDTA 2017: 60-65
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Young Jong Mo, Joongheon Kim, Jong-Kook Kim, Aziz Mohaisen, Woojoo Lee:
Performance of deep learning computation with TensorFlow software library in GPU-capable multi-core computing platforms. ICUFN 2017: 240-242
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Jonghoe Koo, Juheon Yi, Joongheon Kim, Mohammad Ashraful Hoque, Sunghyun Choi:
REQUEST: Seamless Dynamic Adaptive Streaming over HTTP for Multi-Homed Smartphone under Resource Constraints. ACM Multimedia 2017: 934-942
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Joongheon Kim, Yeong Jong Mo, Woojoo Lee, DaeHun Nyang:
Dynamic Security-Level Maximization for Stabilized Parallel Deep Learning Architectures in Surveillance Applications. PAC 2017: 192-193
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Nhu-Ngoc Dao, Trung V. Phan, Umar Sa'ad, Joongheon Kim, Thomas Bauschert, Sungrae Cho:
Securing Heterogeneous IoT with Intelligent DDoS Attack Behavior Learning. CoRR abs/1711.06041 (2017)
2016
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Joongheon Kim, Liang Xian, Ali S. Sadri:
Numerical Simulation Study for Frequency Sharing Between Micro-Cellular Systems and Fixed Service Systems in Millimeter-Wave Bands. IEEE Access 4: 9847-9859 (2016)
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Joongheon Kim, Eun-Seok Ryu:
Stochastic stable buffer control for quality-adaptive HEVC video transmission in enterprise WLAN architectures. J. Real Time Image Process. 12(2): 465-471 (2016)
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Joongheon Kim, Giuseppe Caire, Andreas F. Molisch:
Quality-Aware Streaming and Scheduling for Device-to-Device Video Delivery. IEEE/ACM Trans. Netw. 24(4): 2319-2331 (2016)
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Joongheon Kim, Seok-Chul Kwon, Giwan Choi:
Performance of Video Streaming in Infrastructure-to-Vehicle Telematic Platforms With 60-GHz Radiation and IEEE 802.11ad Baseband. IEEE Trans. Veh. Technol. 65(12): 10111-10115 (2016)
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Joongheon Kim:
Buffer-stable adaptive per-module power allocation for energy-efficient millimeter-wave modular antenna array (MAA) platforms. INFOCOM Workshops 2016: 820-821
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Seong Hoon Jeong, Ah Reum Kang, Joongheon Kim, Huy Kang Kim, Aziz Mohaisen:
A Longitudinal Analysis of .i2p Leakage in the Public DNS Infrastructure. SIGCOMM 2016: 557-558
2015
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Joongheon Kim, Song-Nam Hong:
Adaptive buffer control for distributed autonomous robust routing in mobile surveillance robots. Comput. Electr. Eng. 43: 306-316 (2015)
[j14]
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Joongheon Kim, Aziz Mohaisen, Song-Nam Hong:
Interference impacts on 60 ghz real-time online video streaming in wireless smart tv platforms. Multim. Tools Appl. 74(19): 8613-8629 (2015)
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Joongheon Kim, Song-Nam Hong:
Dynamic two-stage beam training for energy-efficient millimeter-wave 5G cellular systems. Telecommun. Syst. 59(1): 111-122 (2015)
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Joongheon Kim:
Energy-Efficient Dynamic Packet Downloading for Medical IoT Platforms. IEEE Trans. Ind. Informatics 11(6): 1653-1659 (2015)
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Joongheon Kim, Wonjun Lee:
Stochastic Decision Making for Adaptive Crowdsourcing in Medical Big-Data Platforms. IEEE Trans. Syst. Man Cybern. Syst. 45(11): 1471-1476 (2015)
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Joongheon Kim, Liang Xian, Reza Arefi, Ali S. Sadri:
60 GHz Frequency Sharing Study between Fixed Service Systems and Small-Cell Systems with Modular Antenna Arrays. GLOBECOM Workshops 2015: 1-6
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Joongheon Kim, Eun-Seok Ryu:
Feasibility study of stochastic streaming with 4K UHD video traces. ICTC 2015: 1350-1355
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Eun-Seok Ryu, Yeongil Ryu, Hyun-Joon Roh, Joongheon Kim, Bok-Gi Lee:
Towards robust UHD video streaming systems using scalable high efficiency video coding. ICTC 2015: 1356-1361
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Seehwan Yoo, YoonSeok Shim, Seunghac Lee, Sang-Ah Lee, Joongheon Kim:
A case for bad big.LITTLE switching: how to scale power-performance in SI-HMP. HotPower@SOSP 2015: 1-5
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Joongheon Kim, Eun-Seok Ryu:
Feasibility Study of Stochastic Streaming with 4K UHD Video Traces. CoRR abs/1511.05498 (2015)
2014
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Joongheon Kim, Aziz Mohaisen, Jong-Kook Kim:
Fast and Low-Power Link Setup for IEEE 802.15.3c Multi-Gigabit/s Wireless Sensor Networks. IEEE Commun. Lett. 18(3): 455-458 (2014)
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Song-Nam Hong, Joongheon Kim:
A Low-Complexity Algorithm for Neighbor Discovery in Wireless Networks. IEEE Commun. Lett. 18(7): 1119-1122 (2014)
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Song-Nam Hong, Joongheon Kim:
Joint Coding and Stochastic Data Transmission for Uplink Cloud Radio Access Networks. IEEE Commun. Lett. 18(9): 1619-1622 (2014)
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Joongheon Kim, Eun-Seok Ryu:
Quality Analysis of Massive High-Definition Video Streaming in Two-Tiered Embedded Camera-Sensing Systems. Int. J. Distributed Sens. Networks 10 (2014)
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Joongheon Kim, Andreas F. Molisch:
Fast millimeter-wave beam training with receive beamforming. J. Commun. Networks 16(5): 512-522 (2014)
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Joongheon Kim, Andreas F. Molisch:
Quality-aware millimeter-wave device-to-device multi-hop routing for 5G cellular networks. ICC 2014: 5251-5256
[i4]
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Joongheon Kim, Andreas F. Molisch, Giuseppe Caire:
Max-Weight Scheduling and Quality-Aware Streaming for Device-to-Device Video Delivery. CoRR abs/1406.4917 (2014)
2013
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Aziz Mohaisen, Joongheon Kim:
The Sybil Attacks and Defenses: A Survey. Smart Comput. Rev. 3(6): 480-489 (2013)
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Joongheon Kim, Yafei Tian, Stefan Mangold, Andreas F. Molisch:
Joint Scalable Coding and Routing for 60 GHz Real-Time Live HD Video Streaming Applications. IEEE Trans. Broadcast. 59(3): 500-512 (2013)
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Joongheon Kim, Yafei Tian, Stefan Mangold, Andreas F. Molisch:
Quality-aware coding and relaying for 60 GHz real-time wireless video broadcasting. ICC 2013: 5148-5152
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Joongheon Kim, Feiyu Meng, Peiyao Chen, Hilmi E. Egilmez, Dilip Bethanabhotla, Andreas F. Molisch, Michael J. Neely, Giuseppe Caire, Antonio Ortega:
Adaptive video streaming for device-to-device mobile platforms. MobiCom 2013: 127-130
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Joongheon Kim, Andreas F. Molisch:
Enabling Gigabit services for IEEE 802.11ad-capable high-speed train networks. RWS 2013: 145-147
[i3]
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Joongheon Kim, Yafei Tian, Stefan Mangold, Andreas F. Molisch:
Joint Scalable Coding and Routing for 60 GHz Real-Time Live HD Video Streaming Applications. CoRR abs/1302.1663 (2013)
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Joongheon Kim, Yafei Tian, Stefan Mangold, Andreas F. Molisch:
Quality-Aware Coding and Relaying for 60 GHz Real-Time Wireless Video Broadcasting. CoRR abs/1304.5315 (2013)
[i1]
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Aziz Mohaisen, Joongheon Kim:
The Sybil Attacks and Defenses: A Survey. CoRR abs/1312.6349 (2013)
2011
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Joongheon Kim, Yafei Tian, Andreas F. Molisch, Stefan Mangold:
Joint optimization of HD video coding rates and unicast flow control for IEEE 802.11ad relaying. PIMRC 2011: 1109-1113
2010
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Sergey Tiraspolsky, BeomJin Jeon, Joongheon Kim, Alexey Rubtsov, Alexander G. Flaksman, Victor T. Ermolayev:
mmWave SVD-based beamformed MIMO communication systems. CCNC 2010: 1-5
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Jeongyeup Paek, Joongheon Kim, Ramesh Govindan:
Energy-efficient rate-adaptive GPS-based positioning for smartphones. MobiSys 2010: 299-314

2000 – 2009

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2009
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Joongheon Kim, BeomJin Jeon:
Optimal Beaconing for 60 GHz Millimeter Wave. CCNC 2009: 1-2
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Joongheon Kim, BeomJin Jeon:
Demonstration of Display Sharing over Multi-Gbps Wireless Video and Audio Network. CCNC 2009: 1-2
2008
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Joongheon Kim, Wonjun Lee:
Cooperative relaying strategies for multi-hop wireless sensor networks. COMSWARE 2008: 103-106
2007
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Joongheon Kim, Wonjun Lee, Eunkyo Kim, Dongshin Kim, Kyoungwon Suh:
Optimized transmission power control of interrogators for collision arbitration in UHF RFID systems. IEEE Commun. Lett. 11(1): 22-24 (2007)
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Joongheon Kim, Wonjun Lee, Eunkyo Kim, Doe-Wan Kim, Hyeokman Kim:
Coverage-time optimized dynamic clustering of networked sensors for pervasive home networking. IEEE Trans. Consumer Electron. 53(2): 433-441 (2007)
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Wonjun Lee, Eunkyo Kim, Joongheon Kim, Inkyu Lee, Choonhwa Lee:
Movement-Aware Vertical Handoff of WLAN and Mobile WiMAX for Seamless Ubiquitous Access. IEEE Trans. Consumer Electron. 53(4): 1268-1275 (2007)
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Joongheon Kim, Wonjun Lee:
Power Saving Medium Access for Beacon-Enabled IEEE 802.15.4 LR-WPANs. HCI (9) 2007: 555-562
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Donghwan Lee, Wonjun Lee, Joongheon Kim:
Genetic Algorithmic Topology Control for Two-Tiered Wireless Sensor Networks. International Conference on Computational Science (4) 2007: 385-392
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Eunjun Choi, Wonjun Lee, Joongheon Kim:
Mobility Driven Vertical Handover for Mobile IPTV Traffic in Hybrid IEEE 802.11e/16e Networks. UIC 2007: 767-776
2006
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Dongshin Kim, Wonjun Lee, Bok-Nyong Park, Joongheon Kim, Christian Shin, Changmin Shin:
A Power Balanced Multipath Routing Protocol inWireless Ad-Hoc Sensor Networks. CIT 2006: 222
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Joongheon Kim, Wonjun Lee, Dongshin Kim, Eunkyo Kim, Hyeokman Kim, Sanghyun Ahn:
Dynamic Clustering for Coverage-Time Maximization in Two-Tiered Hierarchical Sensor Network Architectures. EUC 2006: 652-661
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Wonjun Lee, Eunkyo Kim, Jieun Yu, Donghwan Lee, Jihoon Choi, Joongheon Kim, Christian K. Shin:
UbiComm: An Adaptive Vertical Handoff Decision Scheme for Heterogeneous Wireless Networks. UCS 2006: 344-356
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Joongheon Kim, Jihoon Choi, Wonjun Lee:
Energy-Aware Distributed Topology Control for Coverage-Time Optimization in Clustering-Based Heterogeneous Sensor Networks. VTC Spring 2006: 1033-1037
2005
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Joongheon Kim, Wonjun Lee, Eunkyo Kim, Joonmo Kim, Choonhwa Lee, Sungjin Kim, Sooyeon Kim:
On Energy-Aware Dynamic Clustering for Hierarchical Sensor Networks. EUC Workshops 2005: 460-469
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Joongheon Kim, Wonjun Lee, Eunkyo Kim, Choonhwa Lee:
w-LLC: Weighted Low-Energy Localized Clustering for Embedded Networked Sensors. FSKD (2) 2005: 1162-1165
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Joongheon Kim, Wonjun Lee, Jieun Yu, Jihoon Myung, Eunkyo Kim, Choonhwa Lee:
Effect of localized optimal clustering for reader anti-collision in RFID networks: fairness aspects to the readers. ICCCN 2005: 497-502
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Joongheon Kim, Wonjun Lee, Jaewon Jung, Jihoon Choi, Eunkyo Kim, Joonmo Kim:
Weighted Localized Clustering: A Coverage-Aware Reader Collision Arbitration Protocol in RFID Networks. ICESS 2005: 542-553

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