Jong-Kook Kim - RankMe

80 papers A* 3A 8B 3C 5Misc 5Journal 39Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An empirical study of unsupervised few-shot learning that utilizes self-supervised representation learning. Neurocomputing Sungwon Seo, Jong-Kook Kim
2026	J	`jnl`	GraMA: A gradient matrix-guided assignment method for solving qubit mapping problems. Future Gener. Comput. Syst. XinYu Piao, Joongheon Kim, Jong-Kook Kim
2025	A	`conf`	AQUA: Hardware-Agnostic Qubit Allocation for Quantum Multi-Programming. IPDPS XinYu Piao, JooYong Shim, Joongheon Kim, Jong-Kook Kim
2025	J	`jnl`	Average-Reward Maximum Entropy Reinforcement Learning for Global Policy in Double Pendulum Tasks. CoRR Jean Seong Bjorn Choe, BumKyu Choi, Jong-Kook Kim
2025	J	`jnl`	CroMe: Multimodal Fake News Detection Using Cross-Modal Tri-Transformer and Metric Learning. IEEE Access Eunjee Choi, Junhyun Ahn, XinYu Piao, Jong-Kook Kim
2025	J	`jnl`	CroMe: Multimodal Fake News Detection using Cross-Modal Tri-Transformer and Metric Learning. CoRR Eunjee Choi, Junhyun Ahn, XinYu Piao, Jong-Kook Kim
2025	A*	`conf`	Maximum Entropy Softmax Policy Gradient via Entropy Advantage Estimation. IJCAI Jean Seong Bjorn Choe, Jong-Kook Kim
2025	J	`jnl`	Reinforcement Learning for Robust Athletic Intelligence: Lessons from the 2nd 'AI Olympics with RealAIGym' Competition. CoRR Felix Wiebe, Niccolò Turcato, Alberto Dalla Libera, Jean Seong Bjorn Choe, BumKyu Choi, Tim Lukas Faust, Habib Maraqten, Erfan Aghadavoodi, Marco Calì, Alberto Sinigaglia, Giulio Giacomuzzo, Diego Romeres, Jong-Kook Kim, Gian Antonio Susto, Shubham Vyas, Dennis Mronga, Boris Belousov, Jan Peters, Frank Kirchner, Shivesh Kumar
2025	A*	`conf`	Simplifying Reward Design in Complex Robotics: Average-Reward Maximum Entropy Reinforcement Learning. ICRA Jean Seong Bjorn Choe, BumKyu Choi, Jong-Kook Kim
2024	J	`jnl`	Average-Reward Maximum Entropy Reinforcement Learning for Underactuated Double Pendulum Tasks. CoRR Jean Seong Bjorn Choe, BumKyu Choi, Jong-Kook Kim
2024	—	`conf`	Enhancing Reinforcement Learning Finetuned Text-to-Image Generative Model Using Reward Ensemble. ITS (2) Kyungryul Back, XinYu Piao, Jong-Kook Kim
2024	B	`conf`	GMM: An Efficient GPU Memory Management-based Model Serving System for Multiple DNN Inference Models. ICPP XinYu Piao, Jong-Kook Kim
2024	J	`jnl`	Maximum Entropy On-Policy Actor-Critic via Entropy Advantage Estimation. CoRR Jean Seong Bjorn Choe, Jong-Kook Kim
2024	C	`conf`	TT-BLIP: Enhancing Fake News Detection Using BLIP and Tri-Transformer. FUSION Eunjee Choi, Jong-Kook Kim
2024	J	`jnl`	TT-BLIP: Enhancing Fake News Detection Using BLIP and Tri-Transformer. CoRR Eunjee Choi, Jong-Kook Kim
2024	J	`jnl`	The Bid Picture: Auction-Inspired Multi-player Generative Adversarial Networks Training. CoRR JooYong Shim, Jean Seong Bjorn Choe, Jong-Kook Kim
2023	J	`jnl`	Audio-to-Visual Cross-Modal Generation of Birds. IEEE Access JooYong Shim, Joongheon Kim, Jong-Kook Kim
2023	J	`jnl`	Enabling Large Batch Size Training for DNN Models Beyond the Memory Limit While Maintaining Performance. IEEE Access XinYu Piao, DoangJoo Synn, Jooyoung Park, Jong-Kook Kim
2022	—	`conf`	C-SupConGAN: Using Contrastive Learning and Trained Data Features for Audio-to-Image Generation. AICCC Hae-Chun Chung, Jong-Kook Kim
2022	J	`jnl`	Cross-Modal Contrastive Representation Learning for Audio-to-Image Generation. CoRR Hae-Chun Chung, JooYong Shim, Jong-Kook Kim
2022	J	`jnl`	Dataloader Parameter Tuner: An Automated Dataloader Parameter Tuner for Deep Learning Models. CoRR Jooyoung Park, DoangJoo Synn, XinYu Piao, Jong-Kook Kim
2022	J	`jnl`	Feature Based Sampling: A Fast and Robust Sampling Method for Tasks Using 3D Point Cloud. IEEE Access Jung-Woo Han, Dong-Joo Synn, Tae-Hyeong Kim, Hae-Chun Chung, Jong-Kook Kim
2022	A	`conf`	Hierarchical Reinforcement Learning using Gaussian Random Trajectory Generation in Autonomous Furniture Assembly. CIKM Won Joon Yun, David Mohaisen, Soyi Jung, Jong-Kook Kim, Joongheon Kim
2022	—	`conf`	Micro Junction Agent: A Scalable Multi-agent Reinforcement Learning Method for Traffic Control. ICAART (3) BumKyu Choi, Jean Seong Bjorn Choe, Jong-Kook Kim
2021	J	`jnl`	Contextual Skipgram: Training Word Representation Using Context Information. CoRR Dongjae Kim, Jong-Kook Kim
2021	—	`conf`	Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation. ICTC Yunseok Kwak, Won Joon Yun, Soyi Jung, Jong-Kook Kim, Joongheon Kim
2021	J	`jnl`	Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation. CoRR Yunseok Kwak, Won Joon Yun, Soyi Jung, Jong-Kook Kim, Joongheon Kim
2021	J	`jnl`	Micro Batch Streaming: Allowing the Training of DNN models Using a large batch size on Small Memory Systems. CoRR DoangJoo Synn, XinYu Piao, Jooyoung Park, Jong-Kook Kim
2021	—	`conf`	On the Tradeoff between Computation-Time and Learning-Accuracy in GAN-based Super-Resolution Deep Learning. ICOIN JooYong Shim, Joongheon Kim, Jong-Kook Kim
2021	—	`conf`	Proper Cost Hamiltonian Design for Combinatorial Optimization Problems: A Boolean Function Approach. ICOIN Jaeho Choi, Seunghyeok Oh, Soohyun Park, Jong-Kook Kim, Joongheon Kim
2021	—	`conf`	Quantum Convolutional Neural Network for Resource-Efficient Image Classification: A Quantum Random Access Memory (QRAM) Approach. ICOIN Seunghyeok Oh, Jaeho Choi, Jong-Kook Kim, Joongheon Kim
2020	J	`jnl`	Privacy-Preserving Deep Learning Computation for Geo-Distributed Medical Big-Data Platforms. CoRR Joohyung Jeon, Junhui Kim, Joongheon Kim, Kwangsoo Kim, Aziz Mohaisen, Jong-Kook Kim
2020	B	`conf`	S2I-Bird: Sound-to-Image Generation of Bird Species using Generative Adversarial Networks. ICPR JooYong Shim, Joongheon Kim, Jong-Kook Kim
2019	J	`jnl`	A Method to Construct Task Scheduling Algorithms for Heterogeneous Multi-Core Systems. IEEE Access Sung Il Kim, Jong-Kook Kim
2019	C	`conf`	Enhancing Monte Carlo Tree Search for Playing Hearthstone. CoG Jean Seong Bjorn Choe, Jong-Kook Kim
2019	—	`conf`	Privacy-Preserving Deep Learning Computation for Geo-Distributed Medical Big-Data Platforms. DSN (Supplements) Joohyung Jeon, Junhui Kim, Joongheon Kim, Kwangsoo Kim, Aziz Mohaisen, Jong-Kook Kim
2019	J	`jnl`	Semantic Hashtag Relation Classification Using Co-occurrence Word Information. Wirel. Pers. Commun. Sungwon Seo, Jong-Kook Kim, Sung-Il Kim, Jeewoo Kim, Joongheon Kim
2018	—	`conf`	Classifier Comparison for Failure Detection of Induction Motors Using Current Signal. ICUFN GyuBeom Han, Jong-Kook Kim
2017	J	`jnl`	Energy-Efficient Stabilized Automatic Control for Multicore Baseband in Millimeter-Wave Systems. IEEE Access Joongheon Kim, Jae-Jin Lee, Jong-Kook Kim, Woojoo Lee
2017	—	`conf`	Performance of deep learning computation with TensorFlow software library in GPU-capable multi-core computing platforms. ICUFN Young Jong Mo, Joongheon Kim, Jong-Kook Kim, Aziz Mohaisen, Woojoo Lee
2017	—	`conf`	Semantic hashtag relation classification using co-occurrence word information. ICUFN Sungwon Seo, Jong-Kook Kim, Lynn Choi
2016	—	`conf`	Information propagation modeling in a drone network using disease epidemic models. ICUFN Yoojoong Kim, Jong-Kook Kim, Junhee Seok, Byoung Du Kim
2014	Misc	`conf`	An evolutionary genetic neural networks for problems without prior knowledge. ICNC Hyoung Uk Ha, Jong-Kook Kim
2014	J	`jnl`	Fast and Low-Power Link Setup for IEEE 802.15.3c Multi-Gigabit/s Wireless Sensor Networks. IEEE Commun. Lett. Joongheon Kim, Aziz Mohaisen, Jong-Kook Kim
2013	J	`jnl`	DiSCo: Distributed Scalable Compilation Tool for Heavy Compilation Workload. IEICE Trans. Inf. Syst. Kyongjin Jo, Seon Wook Kim, Jong-Kook Kim
2012	—	`conf`	Efficient Task Scheduling for Hard Real-Time Tasks in Asymmetric Multicore Processors. ICA3PP (2) Sung Il Kim, Jong-Kook Kim, Hyoung Uk Ha, Tae Ho Kim, Kyu Hyun Choi
2012	—	`conf`	Enhancing the Performance of a Distributed Mobile Computing Environment by Topology Construction. ICA3PP (2) Il Young Kim, Jong-Kook Kim
2011	C	`conf`	Dynamic Resource Management for a Cell-Based Distributed Mobile Computing Environment. UIC Sung Il Kim, Jae Young Jun, Jong-Kook Kim, Kyung-Chan Lee, Gyu Seong Kang, Taek-Soo Kim, Hee Kyoung Moon, Hye Chan Yoon, Hyungmin Kim, Sang-Hoon Lee
2011	J	`jnl`	Provisioning QoS for WiFi-enabled Portable Devices in Home Networks. KSII Trans. Internet Inf. Syst. Eun-Chan Park, Nojun Kwak, Suk Kyu Lee, Jong-Kook Kim, Hwangnam Kim
2010	J	`jnl`	A Novel Architecture for Block Interleaving Algorithm in MB-OFDM Using Mixed Radix System. IEEE Trans. Very Large Scale Integr. Syst. Youngsun Han, Peter Harliman, Seon Wook Kim, Jong-Kook Kim, Chulwoo Kim
2010	Misc	`conf`	Decentralized Resource Management for a Distributed Mobile Computing Environment. PDPTA Ki Soo Park, Jong-Kook Kim, Hwanho Yong
2010	Misc	`conf`	Energy-Aware Routing Protocol for a Distributed Mobile Computing Environment. PDPTA Il Young Kim, Jong-Kook Kim
2009	J	`jnl`	A handoff packet marker for diffserv in mobile IP-based networks with packet buffering. IEEE Trans. Consumer Electron. Seung Beom Lee, Kyeong Hur, Jong-Kook Kim, Doo Seop Eom
2009	C	`conf`	Dynamic Resource Management for Longevity in Web Server Systems. HPCC Seok-bong Choi, Jong-Kook Kim
2009	J	`jnl`	Enhancing Location Estimation and Reducing Computation using Adaptive Zone Based K-NNSS Algorithm. KSII Trans. Internet Inf. Syst. Sung-Hak Song, Chang-Hoon Lee, Ju-Hyun Park, Kyo-Jun Koo, Jong-Kook Kim, Jongsun Park
2009	J	`jnl`	On the symbol error rates for signal space diversity schemes over a rician fading channel. IEEE Trans. Commun. Jihoon Kim, Wonjun Lee, Jong-Kook Kim, Inkyu Lee
2009	J	`jnl`	RIO configuration optimization for assured service in diffserv networks. IEEE Trans. Consumer Electron. Yang-Ick Joo, Kyeong Hur, Jong-Kook Kim, Doo Seop Eom, Yeonwoo Lee
2008	A*	`conf`	Applying passive RFID system to wireless headphones for extreme low power consumption. DAC Joon Goo Lee, Dongha Jung, Jiho Chu, Seokjoong Hwang, Jong-Kook Kim, Janam Ku, Seon Wook Kim
2008	J	`jnl`	Dynamic Resource Management in Energy Constrained Heterogeneous Computing Systems Using Voltage Scaling. IEEE Trans. Parallel Distributed Syst. Jong-Kook Kim, Howard Jay Siegel, Anthony A. Maciejewski, Rudolf Eigenmann
2008	J	`jnl`	Static heuristics for robust resource allocation of continuously executing applications. J. Parallel Distributed Comput. Shoukat Ali, Jong-Kook Kim, Howard Jay Siegel, Anthony A. Maciejewski
2008	—	`ch.`	Virtual Memory and Buffer Storage. Wiley Encyclopedia of Computer Science and Engineering Seokjoong Hwang, Seon Wook Kim, Jong-Kook Kim
2007	J	`jnl`	Dynamically mapping tasks with priorities and multiple deadlines in a heterogeneous environment. J. Parallel Distributed Comput. Jong-Kook Kim, Sameer Shivle, Howard Jay Siegel, Anthony A. Maciejewski, Tracy D. Braun, Myron Schneider, Sonja Tideman, Ramakrishna Chitta, Raheleh B. Dilmaghani, Rohit Joshi
2006	J	`jnl`	A flexible multi-dimensional QoS performance measure framework for distributed heterogeneous systems. Clust. Comput. Jong-Kook Kim, Debra A. Hensgen, Taylor Kidd, Howard Jay Siegel, David St. John, Cynthia E. Irvine, Timothy E. Levin, N. Wayne Porter, Viktor K. Prasanna, Richard F. Freund
2005	A	`conf`	Dynamic Mapping in Energy Constrained Heterogeneous Computing Systems. IPDPS Jong-Kook Kim, Howard Jay Siegel, Anthony A. Maciejewski, Rudolf Eigenmann
2004	J	`jnl`	Measuring the Robustness of a Resource Allocation. IEEE Trans. Parallel Distributed Syst. Shoukat Ali, Anthony A. Maciejewski, Howard Jay Siegel, Jong-Kook Kim
2004	B	`conf`	Robust Resource Allocation for Sensor-Actuator Distributed Computing Systems. ICPP Shoukat Ali, Anthony A. Maciejewski, Howard Jay Siegel, Jong-Kook Kim
2003	A	`conf`	Definition of a Robustness Metric for Resource Allocation. IPDPS Shoukat Ali, Anthony A. Maciejewski, Howard Jay Siegel, Jong-Kook Kim
2003	A	`conf`	Dynamic Mapping in a Heterogeneous Environment with Tasks Having Priorities and Multiple Deadlines. IPDPS Jong-Kook Kim, Sameer Shivle, Howard Jay Siegel, Anthony A. Maciejewski, Tracy D. Braun, Myron Schneider, Sonja Tideman, Ramakrishna Chitta, Raheleh B. Dilmaghani, Rohit Joshi, Aditya Kaul, Ashish Sharma, Siddhartha Sripada, Praveen Vangari, Siva Sankar Yellampalli
2003	Misc	`conf`	On the Robustness of Resource Allocation for Parallel and Distributed Computing and Communications. PDPTA Shoukat Ali, Anthony A. Maciejewski, Howard Jay Siegel, Jong-Kook Kim
2002	A	`conf`	A Metric and Mixed-Integer-Programming-Based Approach for Resource Allocation in Dynamic Real-Time Systems. IPDPS Sethavidh Gertphol, Yang Yu, Shriram B. Gundala, Viktor K. Prasanna, Shoukat Ali, Jong-Kook Kim, Anthony A. Maciejewski, Howard Jay Siegel
2002	Misc	`conf`	Greedy Heuristics for Resource Allocation in Dynamic Distributed Real-Time Heterogeneous Computing Systems. PDPTA Shoukat Ali, Jong-Kook Kim, Howard Jay Siegel, Anthony A. Maciejewski, Yang Yu, Shriram B. Gundala, Sethavidh Gertphol, Viktor K. Prasanna
2002	A	`conf`	Utilization-Based Heuristics for Statically Mapping Real-Time Applications onto the HiPer-D Heterogeneous Computing System. IPDPS Shoukat Ali, Jong-Kook Kim, Yang Yu, Shriram B. Gundala, Sethavidh Gertphol, Howard Jay Siegel, Anthony A. Maciejewski, Viktor K. Prasanna
2002	J	`jnl`	Utilization-Based Techniques for Statically Mapping Heterogeneous Applications onto the HiPer-D Heterogeneous Computing System. Parallel Distributed Comput. Pract. Shoukat Ali, Jong-Kook Kim, Yang Yu, Shriram B. Gundala, Sethavidh Gertphol, Howard Jay Siegel, Anthony A. Maciejewski, Viktor K. Prasanna
2001	A	`conf`	Collective Value of QoS: A Performance Measure Framework for Distributed Heterogeneous Networks. IPDPS Jong-Kook Kim, Taylor Kidd, Howard Jay Siegel, Cynthia E. Irvine, Timothy E. Levin, Debra A. Hensgen, David St. John, Viktor K. Prasanna, Richard F. Freund, N. Wayne Porter
2000	C	`conf`	A QoS performance measure framework for distributed heterogeneous networks. PDP Jong-Kook Kim, Debra A. Hensgen, Taylor Kidd, Howard Jay Siegel, David St. John, Cynthia E. Irvine, Timothy E. Levin, N. Wayne Porter, Viktor K. Prasanna, Richard F. Freund
1999	—	`conf`	An Overview of MSHN: The Management System for Heterogeneous Networks. Heterogeneous Computing Workshop Debra A. Hensgen, Taylor Kidd, David St. John, Matthew C. Schnaidt, Howard Jay Siegel, Tracy D. Braun, Muthucumaru Maheswaran, Shoukat Ali, Jong-Kook Kim, Cynthia E. Irvine, Timothy E. Levin, Richard F. Freund, Matt Kussow, Michael W. Godfrey, Alpay Duman, Paul Carff, Shirley Kidd, Viktor K. Prasanna, Prashanth B. Bhat, Ammar H. Alhusaini
1999	J	`jnl`	Statistical Textural Features for Detection of Microcalcifications in Digitized Mammograms. IEEE Trans. Medical Imaging Jong-Kook Kim, Hyun Wook Park
1998	J	`jnl`	Detection of Clustered Microcalcifications on Mammograms Using Surrounding Region Dependence Method and Artificial Neural Network. J. VLSI Signal Process. Jong-Kook Kim, Jeong Mi Park, Koun-Sik Song, Hyun Wook Park
1997	J	`jnl`	Adaptive Mammographic Image Enhancement Using First Derivative and Local Statistics. IEEE Trans. Medical Imaging Jong-Kook Kim, Jeong Mi Park, Koun-Sik Song, Hyun Wook Park
1997	—	`conf`	Surrounding Region Dependence Method for Detection of Clustered Microcalcifications on Mammograms. ICIP (3) Jong-Kook Kim, Hyun Wook Park