Y. Choi, H. Jeon, S. Lee, I. Han, Y. Luo, S.-J. Kim, W. Matusik, and K.-J. Kim, “Seamless-walk: Novel natural virtual reality locomotion method with a high-resolution tactile sensor,” IEEE Conference on Virtual Reality and 3D User Interfaces (Poster), 2022 [Youtube].
2021
S. Farooq, A. Aziz, H. Mukhtar, M Fiaz, K. Y. Baek, N. Choi, S. B. Yun, K.-J. Kim and S.K. Jung, “Multi-Modality based Affective Video Summarization for Game Players,” The 27th International Workshop on Frontiers of Computer Vision (IW-FCV), 2021 PDF.
2020
S. Farooq, M. Fiaz, K.J. Kim, and S.K. Jung, “Experience modeling for candy crush game player using physiological data by means of homogenous transfer learning,” The International Workshop on Intelligent Systems, 2020 PDF.
H.-T. Joo, and K.-J. Kim, “Determining the Possibility of Transfer Learning in Deep Reinforcement Learning using GRAD-CAM,” The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) (Student Abstract), 2020 PDF.
2019
I.-C. Baek, and K.-J. Kim, “Efficient Multi-Agent Reinforcement Learning for Many Agents,” The 15th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE’19) Workshop on Artificial Intelligence for Strategy Games, 2019 PDF.
H.-T. Joo, and K.-J. Kim, “Visualization of Deep Reinforcement Learning using Grad-CAM: How AI Plays Atari Games? ,” IEEE Conference on Games, 2019 PDF, Youtube.
2018
I.-C. Baek and K.-J. Kim, “Web-based Interface for Data Labeling in StarCraft,” IEEE Conference on Computational Intelligence and Games, 2018 PDF.
2017
K. Mori, S. Ito, T. Harada, R. Thawonmas and K.-J. Kim, “Feature Extraction of Gameplays for Similarity Calculation in Gameplay Recommendation,” IEEE 10th International Workshop on Computational Intelligence and Applications, 2017 PDF.
J.-H. Jeon, D.-M. Yoon, S.-I. Yang and K.-J. Kim, “Extracting Gamers’Cognitive Psychological Features and Improving Performance of Churn Prediction from Mobile Games,” IEEE Conference on Computational Intelligence and Games, 2017 PDF.
S.-H. Yoon and K.-J. Kim, “Deep Q Networks for Visual Fighting Game AI,” IEEE Conference on Computational Intelligence and Games, 2017 PDF.
M.-J. Kim and K.-J. Kim, “Opponent Modeling based on Action Table for MCTS-based Fighting Game AI,” IEEE Conference on Computational Intelligence and Games, 2017 PDF.
B.-J. Min and K.-J. Kim,“Learning to Play Visual Doom using Model-Free Episodic Control,” IEEE Conference on Computational Intelligence and Games, 2017 PDF.
J.-H. Park, S.-J. Yoo, K.-J. Kim, Y.-H. Gu, K.-H. Lee, and U.-H. Son, “PM10 Density Forecast Model Using Long Short Term Memory,” Ninth International Conference on Ubiquitous and Future Networks, 2017 PDF.
2016
B.-H. Yoo, and K.-J. Kim, “Changing video game graphic styles using neural algorithms,” IEEE Conference on Computational Intelligence and Games, 2016 PDF.
H.-S. Park, and K.-J. Kim, “Deep Q-learning using redundant outputs in Visual Doom,” IEEE Conference on Computational Intelligence and Games, 2016 PDF.
M.-J. Kim, K.-J. Kim, S.-J. Kim, and A. K. Dey, “Evaluation of StarCraft Artificial Intelligence Competition Bots by Experienced Human Players,” ACM CHI (Late-Breaking Work), 2016 PDF.
2015
S. S. Farooq, J.-W. Baek, and K.-J. Kim, “Interpreting Behaviors of Mobile Game Players from In-Game Data and Context Logs,” IEEE Conference on Computational Intelligence and Games, 2015 (pp.548-549) PDF.
I.-S. Oh and K.-J. Kim, “Testing Reliability of Replay-based Imitation for StarCraft,” IEEE Conference on Computational Intelligence and Games, 2015. (pp.548-549) PDF
D.-M. Yoon, J.-S. Lee, H.-S. Seon, J.-H. Kim, and K.-J. Kim, “Optimization of Angry Birds AI Controllers with Distributed Computing,” IEEE Conference on Computational Intelligence and Games, 2015. (pp.544-545) PDF
H.-S. Park, and K.-J. Kim, “MCTS with Influence Map for General Video Game Playing,” IEEE Conference on Computational Intelligence and Games, 2015.(pp.534-535) PDF
C.-M. Bae, E.-K. Kim, J.-C. Lee, K.-J. Kim and J.-C. Na, “Generation of an Arbitrary Shaped Large Maze by Assembling Mazes,” IEEE Conference on Computational Intelligence and Games, 2015. (pp.538-539) PDF
2014
S. S. Farooq, H.-S. Park, and K.-J. Kim, “Inference of Opponent’s Uncertain States in Ghost Game using Machine Learning,” The 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, 2014 (pp. 335-346) PDF.
H.-S. Park, and K.-J. Kim, “Social Network Analysis of High-Level Players in Multiplayer Online Battle Arena Game,” The First Exploration on Games and Gamers Workshop @ SocInfo 2014 PDF.
H.-T. Kim, D.-M. Yoon and K.-J. Kim, “Solving Geometry Friends using Monte-Carlo Tree Search with Directed Graph Representation,” IEEE Conference on Computational Intelligence and Games, 2014 PDF.
I.-S. Oh, H.-C. Cho and K.-J. Kim, “Imitation Learning for Combat System in RTS Games with Application to StarCraft,” IEEE Conference on Computational Intelligence and Games, 2014 PDF.
H.-S. Park and K.-J. Kim, “Learning to Play Fighting Game using Massive Play Data,” IEEE Conference on Computational Intelligence and Games, 2014 PDF.
H.-T. Kim, and K.-J. Kim, “Learning to Recommend Game Contents for Real-Time Strategy Gamers,” IEEE Conference on Computational Intelligence and Games, 2014 PDF.
2013
S.-S. Farooq, and K.-J. Kim, “Evolution of Neural Controllers for Simulated and Real Quadruped Robots,” The Second International Conference on Robot, Vision and Signal Processing, pp. 295-298, 2013. PDF
H.-C. Cho, and K.-J. Kim, “Comparison of human and AI bots in StarCraft with replay data mining,” IEEE Conference on Computational Intelligence in Games, 2013 PDF.
H.-C. Cho, K.-J. Kim and S.-B. Cho, “Replay-based strategy prediction and build order adaptation for StarCraft AI bots,” IEEE Conference on Computational Intelligence in Games, 2013 PDF.
H.-S. Park, and K.-J. Kim, “Opponents modeling with incremental active learning: A case study of iterative prisoner’s dilemma,” IEEE Conference on Computational Intelligence in Games, 2013 PDF.
K.-J. Kim, K.-Y. Eo, Y.-R. Jung, S.-O. Kim, and S.-B. Cho, “Evolutionary conditions for the emergence of robotic theory of mind with multiple goals,” IEEE Workshop on Robotic Intelligence in Informationally Structured Space (RiiSS), pp. 48-54, 2013 PDF.
2012
D.-M. Yoon, and K.-J. Kim, “3D game model and texture generation using interactive genetic algorithm,” Workshop at SIGGRAPH ASIA (Computer Gaming Track), pp. 53-58, 2012 PDF.
H.-S. Park, H.-C. Cho, K.-Y. Lee, and K.-J. Kim, “Prediction of early stage opponent strategy for StarCraft AI using scouting and machine learning,” Workshop at SIGGRAPH ASIA (Computer Gaming Track), pp. 7-12, 2012 PDF.
H.-S. Park and K.-J. Kim, “Automatic python programming using stack-based genetic programming,” Genetic and Evolutionary Computation Conference (GECCO), pp. 641-642, 2012. PDF
D.-M. Yoon and K.-J. Kim, “Comparison of scoring methods for interactive evolutionary computation based image retouching system,” Genetic and Evolutionary Computation Conference (GECCO), pp. 617-618, 2012. PDF
H.-S. Park and K.-J. Kim, “Evolving a neural controller for fault-tolerant four-legged robots using parallel genetic algorithm,” International Conference on Advanced Information Technology and Sensor Application, p. 129, 2012 PDF.
J.-G. Park and K.-J. Kim, “A method for feature extraction of traffic sign detection and the system for real world scene,” IEEE International Conference on Emerging Signal Processing Applications, pp. 13-16, 2012 PDF.
2011
K.-J. Kim and S.-B. Cho, “Server-Side early detection of StarCraft players with non-standard strategic behavior,” The 3rd International Conference on Internet (ICONI 2011), pp. 489-494, 2011 PDF
2010
K.-J. Kim and S.-B. Cho, “Exploring features and classifiers to classify microRNA expression profiles of human cancer,” International Conference on Neural Information Processing, pp. 234-241, 2010 PDF
T. W. Cornforth, K.-J. Kim, and H. Lipson, “Evolution of analog circuit models of ion channels,” International Conference on Evolvable Systems, pp. 157-168, 2010. PDF
J.-G. Park, and K.-J. Kim, “Dimension reduction by principal component analysis for evolutionary and back-propagation neural networks,” International Conference on Convergence & Hybrid Information Technology, pp. 191-194, 2010PDF.
K.-J. Kim, and S.-B. Cho, “Experience on running a small-size simulated car racing tournament in an introductory programming course,” International Conference on Convergence & Hybrid Information Technology, pp. 200-206, 2010. PDF
J.-H. Seo, J.-G. Park, J.-H. Lee, and K.-J. Kim, “Designing robust robotic car controllers based on artificial neural network,” International Conference on Convergence & Hybrid Information Technology, pp. 183-190, 2010. PDF
2009
K.-J. Kim and S.-B. Cho, “Evaluation of distance measures for speciated evolutionary neural networks in pattern classification problems,” International Conference on Neural Information Processing, pp. 630-637, 2009. PDF
K.-J. Kim and H. Lipson, “Towards a simple robotic theory of mind,” Performance Metrics for Intelligent Systems Workshop, pp. 131-138, 2009.PDF
K.-J. Kim and S.-B. Cho, “Combining multiple evolved analog circuits for robust evolvable hardware,” International Conference on Intelligent Data Engineering and Automated Learning, pp. 359-367, 2009. PDF
K.-J. Kim and H. Lipson, ““Thoery of Mind” in simulated robots,” Genetic and Evolutionary Computation Conference (GECCO) – Late Braking Papers, pp. 2071-2076, 2009. PDF
2008
K.-J. Kim, and S.-B. Cho, “Ensemble approaches in evolutionary game strategies: A case study in Othello,” IEEE Symposium on Computational Intelligence in Games, pp. 212-219, 2008. PDF
2007
K.-J. Kim, and S.-B. Cho, “Integrated model for informal inference based on neural networks,” International Conference on Neural Information Processing, pp. 950-959, 2007. PDF
K.-J. Kim, and S.-B. Cho, “Diverse evolutionary neural networks based on information theory,” International Conference on Neural Information Processing, pp. 1007-1016, 2007. PDF
K.-J. Kim, M.-C. Jung and S.-B. Cho, “Episodic memory for ubiquitous multimedia contents management system,” The 20th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, pp. 796-805, 2007. PDF
S.-B. Cho, K.-J. Kim and K.-S. Hwang, “Generating cartoon-style summary of daily life with multimedia mobile devices,” The 20th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, pp. 135-144, 2007. PDF
K.-J. Kim, H.-J. Choi, and S.-B. Cho, “Hybrid of evolution and reinforcement learning for Othello players,” IEEE Symposium on Computational Intelligence and Games, pp. 203-209, 2007.PDF
2006
K.-J. Kim, and S.-B. Cho, “Ensemble evolution of checkers players with knowledge of opening, middle and endgame,” 9th Pacific Rim International Conference on Artificial Intelligence, vol. 4099, pp. 950-954, 2006. PDF
B.-Y. Choi, K.-J. Kim, and S.-B. Cho, “The embodiment of autonomic computing in the middleware for distributed system with Bayesian networks,” International Conference on Intelligent Computing, vol. 4113, pp. 1047-1052, 2006.PDF
K.-J. Kim and S.-B. Cho, “Evolutionary aggregation and refinement of Bayesian networks,” IEEE Congress on Evolutionary Computation 2006, pp. 1513-1520, 2006. PDF
K.-J. Kim and S.-B. Cho, “Evolutionary Othello players boosted by opening knowledge,” IEEE Congress on Evolutionary Computation 2006, pp. 984-991, 2006.PDF
2005
K.-J. Kim and S.-B. Cho, “Applications of diverse evolutionary neural networks based on information theory,” Industrial Mathematics Initiative, 2005. PDF
K.-J. Kim and S.-B. Cho, “Construction of Bayesian networks for context-aware service robot,” The 2nd International Conference on Ubiquitous Robots and Ambient Intelligence, pp. 69, 2005.
K.-J. Kim and S.-B. Cho, “DNA Gene expression classification with ensemble classifiers optimized by speciated genetic algorithm,” First International Conference on Pattern Recognition and Machine Intelligence (PReMI’05), pp. 649-653, 2005.PDF
K.-J. Kim, S.-H. Yoo and S.-B. Cho, “Bayesian validation of fuzzy clustering for analysis of Yeast Cell Cycle data,” 9th International Conference on Knowledge-based Intelligent Information & Engineering Systems, pp. 777-784, Melbourne, Australia, 2005. PDF
K.-J. Kim, J.-O. Yoo, and S.-B. Cho, “Robust inference of Bayesian networks using speciated evolution and ensemble,” 15th International Symposium on Methodologies for Intelligent Systems, pp. 92-101, Saratoga Springs, USA, 2005. PDF
2004
K.-J. Kim and S.-B. Cho, “Informal inference based on the integration of multiple neural networks,” Sixth China-India-Japan-Korea Joint Workshop on Neurobiology and Neuroinformatics, India, 2004.
S.-J. Han, K.-J. Kim, and S.-B. Cho, “Evolutionary learning program’s behavior in neural networks for anomaly detection,” International Conference on Neural Information Processing, pp. 236-241, India, 2004. PDF
2003
K.-J. Kim and S.-B. Cho, “Evolving artificial neural networks for DNA microarray analysis,” Congress on Evolutionary Computation, pp. 2370-2377, 2003. PDF
K.-J. Kim and S.-B. Cho, “BN+BN: Behavior network with Bayesian network for intelligent agent,” The 16th Australian Joint Conference on Artificial Intelligence, pp. 979-991, 2003. PDF
K.-J. Kim and S.-B. Cho, “Behavior selection architecture for tangible agent,” IEEE International Symposium on Computational Intelligence in Robotics and Automation, pp. 175-180, 2003. PDF
H.-J. Min, K.-J. Kim and S.-B. Cho, “Generating optimal behaviors of mobile robot using behavior network with planning capability,” IEEE International Symposium on Computational Intelligence in Robotics and Automation, pp. 186-191, 2003. PDF
K.-J. Kim and S.-B. Cho, “Fusion of structure adaptive self-organizing maps using fuzzy integral,” International Joint Conference on Neural Networks, pp. 28-33, 2003. PDF
2002
K.-J. Kim and S.-B. Cho, “Checkers strategy evolution with speciated neural networks,” PRICAI 2002, pp. 599, 2002. PDF
K.-J. Kim and S.-B. Cho, “Evolving speciated checker players with crowding algorithm,” Congress on Evolutionary Computation, pp. 407-412, Hawaii, USA, May 2002. PDF
2001
K.-J. Kim and S.-B. Cho, “Conceptual information extration with link-based search,” Web Intelligence 2001, pp. 367-372, Maebashi, Japan, Oct, 2001. PDF
K.-J. Kim and S.-B. Cho, “Dynamic selection of evolved neural controllers for higher behaviors of mobile robot,” IEEE International Symposium on Computational Intelligence in Robotics Automation 2001, pp. 467-472, banff, Canada, 2001. PDF
K.-J. Kim and S.-B. Cho, “A personalized web search engine using fuzzy concept network with link structure,” Joint 9th IFSA World Congress and 20th NAFIPS International Conference , vol. 1, pp. 81-86, Vancouver, Canada, 2001. PDF
K.-J. Kim and S.-B. Cho, “Coordination of multiple behavior modules evolved on CAM-Brain,” Congress on Evolutionary Computation 2001, vol. 2, pp. 1414-1421, seoul, korea, 2001. PDF
K.-J. Kim and S.-B. Cho, “Robot action selection for higher behaviors with CAM-Brain modules,” International Symposium on Robotics 2001, pp. 1623-1628, seoul, korea, 2001. PDF
2000
K.-J. Kim and S.-B. Cho, “Integration of multiple neural networks evolved on cellular automata by action selection mechanism,” 7th International Conference on Neural Information Processing, Vol.2, pp. 687-692, November, Taejon, Korea, 2000. PDF