Publications

    2023

• I. Han, S.W. Oh, H.Y. Jung, I.S. Chung, and K.-J. Kim, “Monte Carlo and Temporal Difference Methods in Reinforcement Learning,” IEEE Computational Intelligence Magazine, 2023. 
• I. Han, and K.-J. Kim, “Deep Ensemble Learning of Tactics to Control the Main Force in a Real-Time Strategy Game,” Multimedia Tools and Applications, Accepted [Preprint][SharedIt][Link to Journal]. 
• B.-H. Yoo, T.-G. Ha, T.-H. Park, I.-C. Baek, and K.-J. Kim, “Automatic building of large game maps from small concept maps using wave function collapse algorithm,” KIISE Trans. on Computing Practices, vol. 29, no. 6, pp. 275-281, June 2023 [PDF]. 
• Y.-H. Choi, D.-H. Park, S.-H. Lee, I. Han, E. Akan, H.-C. Jeon, Y. Luo, S.-J. Kim, W. Matusik, D. Rus and K.-J. Kim, “Seamless-walk: Natural and Comfortable Virtual Reality Locomotion Method with a High-resolution Tactile Sensor,” Virtual Reality, vol. 27, no. 2, pp. 1431-1445, June 2023. [SharedIt][Link to Journal][Youtube]. 
  
• H.-S. Lee, Y.-H. Choi, A. Eizad, W.-K. Song, K.-J. Kim, and J.-W. Yoon,”A Machine Learning-Based Initial Difficulty
  Level Adjustment Method for Balance Exercise on a Trunk Rehabilitation Robot,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 31, pp. 1857-1866, March 2023 [PDF]. 
• H.-T. Joo, S.-H. Lee, C.-M. Bae, and K.-J. Kim, “Learning to Automatically Spectate Games for Esports Using Object Detection Mechanism,” Expert Systems with Applications, March 2023 [Preprint][PDF][Link to Journal][Code] [Youtube].
  

    2022

• J.Y. Moon, Y.J. Choi, T.-H. Park, J.D. Choi, J.-H. Hong, and K.-J. Kim, “Diversifying Dynamic Difficulty Adjustment Agent by Integrating Player State Models into Monte-Carlo Tree Search,” Expert Systems with Applications, Nov 2022 [PDF][Link to Journal]. 
• H.-T. Joo, I.-C. Baek, and K.-J. Kim, “A Swapping Target Q-Value Technique for Data Augmentation in Offline Reinforcement Learning,” IEEE Access, May 2022. [PDF][Github]  

    2021

• I. Han, D.-H. Park, and K.-J. Kim, “A New Open-Source Off-road Environment for Benchmark Generalization of Autonomous Driving,” IEEE Access, Sep 2021. [PDF][Youtube][Github].
• K.-J. Kim and S.-B. Cho, “Inference of Other’s Minds with Limited Information in Evolutionary Robotics,” International Journal of Social Robotics, vol. 13, no. 4, pp. 661-676, July 2021 [SharedIt].
• S. S. Farooq, I. Mehmood, M. Fiaz, A. K. Bashir, R. Nawaz, K.-J. Kim and S.-K. Jung, “Multi-Modal Data Analysis Based Game Player Experience Modeling Using LSTM-DNN,” CMC-Computers Materials & Continua, May 2021 [PDF].

   2023 

• S.-H. Lee, H.-T. Joo, I.S. Chung, D.-H. Park, Y.-H. Choi and K.-J. Kim, ” A Novel Approach for Virtual Locomotion Gesture Classification: Self-Teaching Vision Transformer for a Carpet-Type Tactile Sensor,” IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2023. 
• M.-S. Seo, S.-J. Shin, K.-J. Kim, and K.-H. Choi, “Reinforcement learning-based collision avoidance of a connected and automated vehicle at merging roads,” International Workshop on Intelligent Systems (IWIS), 2023 [PDF] 
• E.-H. Kim, T.-H. Park, J.-Y. Moon, W.-S. You, T.-G. Ha, and K.-J. Kim, “DAncing body, Speaking Hands (DASH): Sign Dance Generation System with Deep Neural Networks,” ACM SIGGRAPH Posters, 2023 [PDF][Poster]. 
• H.-T. Joo, S.-H. Lee, and K.-J. Kim, “Improving Korean Conversational Skills of LLaMA, a Public Large Language Model, using Human and ChatGPT Conversations,” Korea Congress on Computers, 2023. 
• I.-S. Chung, Isaac Han, and K.-J. Kim, “Imitation Learning using the Forward-Forward Algorithm,”  International Conference on Learning Representations (ICLR) Tiny Paper Track, 2023 [PDF]. 

   2022 

• J.-H. Noh, I.-C. Baek, S.-W. Oh, J.-Y. Moon, S.-M. Oh, K.-J. Kim, “Game Object Characteristic-based State Representation Method for Playtesting Match-3 Game,” Korea Software Congress, 2022 [PDF]. 
• H.-S. Lee, A. Eizad, J.-Y. Lee, Y.-H. Choi, W.-K. Song, K.-J. Kim, J.-W. Yoon, “Comparing the Effects of Admittance and Error-based Control of a Trunk Rehabilitation Robot on the User’s Balance,” International Conference on Control, Automation, and Systems (ICCAS), 2022 [PDF]. 
• I.-C. Baek, T.-H. Park, T.-G. Ha, and K.-J. Kim, “Turing Test Framework for Cooperative Games,” IEEE Conference on Games, 2022 [PDF] [Github]. 
• H.-C. Jeon, S.-M. Oh, W.-S. You, H.Y. Jung, and K.-J. Kim, “Inferring Relationship using Theory of Mind in Press Diplomacy,“ ICML 2022 Workshop AI for Agent-Based Modeling, 2022[PDF]. 
• B.-H. Yoo, T.-G. Ha, T.-H. Park, I.-C. Baek, and K.-J. Kim, “Automatic Building of Large Game Maps from Designer-Made Small Inputs using Wave Function Collapse Algorithm,“ Korea Computer Congress, 2022[PDF]. 
• I.-C. Baek, T.-G. Ha, T.-H. Park, and K.-J. Kim, “Toward Cooperative Level Generation in Multiplayer Game: A User Study in Overcooked,” IEEE Conference on Games, 2022[PDF] [Github]. 
• 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 [PDF] [Youtube]. 
• Ok, S., Seong, M., Kim, W., Jeon, H., Lee, J., Kim, K., Kim, S. “Deep Learning-Based Engagement Classification by Behavioral and Physiological Data of Children with Developmental Disability,” HCI Korea 2022 [PDF]. 

    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].
• H. Park, I.-S. Han, I.-C. Baek, and K.-J. Kim, “3D Physics-based Maze Game Environment for Generalization of Deep Reinforcement Learning,” KSC 2021 [PDF].
• I.-C. Baek, T.-G. Ha, and K.-J. Kim, “An Evolutionary Approach for Procedural Content Generation in Cooperative Game Overcooked,” KSC 2021 [PDF].
• T.-H. Park, W.-S. Yoo, H.-C. Jeon, and K.-J. Kim, “Generating diverse emotional haptic patterns for music using monte carlo tree search,” KSC 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].
• C.M.Bae, H.-T. Joo and K.-J. Kim, “Visual analysis of feature-based decision-making model with deep reinforcement learning,” KSC 2020 [PDF].
• J.Y. Moon, H.-C. Jeon, and K.-J. Kim, “Embedded reinforcement learning for offroad self-driving,” KSC 2020 [PDF].
• S.-H. Lee, and K.-J. Kim, “Training self-driving vehicles using offline reinforcement learning with real driving data,” KSC 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].
• T.-H. Park, E.-J. Jeong, and K.-J. Kim, “Baba is Gym: A New Challenge for Game Reasoning and Understanding,” Korea Software Congress, Winter 2019 [PDF].
• C.-M. Bae, and K.-J. Kim, “Churn Prediction for Mobile Game Players using Model Transfer of Tree-based Classifiers,” Korea Software Congress, Winter 2019 [PDF].
• D.-H. Park, and K.-J. Kim, “Hierarchical Imitation Learning for Driving Off Road in Simulated Environment,” Korea Software Congress, Winter 2019 [PDF].
• E.-J. Jeong, and K.-J. Kim, “Behavior Cloning of StarCraft II Mini Games using CNN Architecture,” Korea Software Congress, Winter 2019 [PDF].
• W.-I. Shim, T.-H. Park, and K.-J. Kim, “Multi-Modal Deep Learning for Autonomous Driving in Urban Environment,” Korea Software Congress, Winter 2019 [PDF].
• D.-H. Park, H.-T. Joo, and K.-J. Kim, “Simulation based Autonomous Driving Car Learning using Imitation and Hierarchical Architecture,” Korea Congress on Computer, 2019 [PDF].
• S.-H. Yoon, and K.-J. Kim, “Multi-agents Reinforcement Learning of DGN using Abstraction of Adjacency Matrix for StarCraft,” Korea Congress on Computer, 2019 [PDF].

    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.
• J.-Y. Noh, J.-H. Jeon, C.-M. Bae, and K.-J. Kim, “Generalized Feature Extraction Method Based on Various Mobile Game Logs for Predicting Gamer Behavior,” Korea Software Congress, 2018 PDF.
• W.-I. Shim, and K.-J. Kim, “Multitask Reinforcement Learning for Starcraft II Mini Games,” Korea Software Congress, 2018 PDF.
• H.-T. Joo, H.-C. Park, and K.-J. Kim, “Discretization of Continuous Action Space of Reinforcement Algorithm for Safe Autonomous Vehicle Driving,” Korea Software Congress, 2018 PDF.
• W.-I. Shim, T.-H. Park, and K.-J. Kim, “Comparison of Policy Optimization Reinforcement Learning for Simulated Autonomous Car Environment,” Korea Software Congress, 2018 PDF.
• S.-H. Yoon, S.-J. Lee, and K.-J. Kim, “League of Legends Game Video Highlight Extraction using Autoencoder,” Korea Software Congress, 2018 PDF.
• B.-J. Min, and K.-J. Kim, “Memory-based Imitation learning using Human-play data,” Korea Software Congress, 2018 PDF.
• S.-H. Lee, and K.-J. Kim, “Imitation Learning of ‘Space Invaders’ using Human Play Data,” Korea Software Congress, 2018 PDF.
• T.-H. Park, and K.-J. Kim, “Improvement of Deep Reinforcement Learning for Pac-Man using Virtual Rewards based on Life Score,” Korea Congress on Computer, 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.

• J.-H. Jeon, D.-M. Yoon, S.-I. Yang, and K.-J. Kim, “ Mobile Gamer Categorization with Archetypal Analysis and Cognitive-Psychological Features from Log Data,” Korea Congress on Computer 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.

• J.-H. Jeon, and H.-S. Park, “Churn prediction using game log data in mobile game,” KIISE Winter, 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

• C.-M. Bae, S.-H. Yoon and K.-J. Kim, “Improvement of Fighting Game Artificial Intelligence using Extended Classifier System,” KIISE Winter Conference, 2015 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.

• H.-T. Kim, D.-Y. Kim, and K.-J. Kim, “General artificial intelligence for video games using game analysis and monte-carlo tree search,” KIISE Winter Conference, 2014 PDF.

• S. S. Farooq, and K.-J. Kim, “Educational Use of “Game AI Competition Portal” for Advanced Programming Courses,” KIISE Spring Conference, 2014.PDF

• K.-J. Ahn, D.-H. Jang, and K.-J. Kim, “Development of Artificial Intelligence for Angry Birds Using Region Segmentation and Object Density Calculation,” HCI 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.
• H.-T. Kim, and K.-J. Kim, “Post Processing Algorithm Proposal of Platform Game Artificial Intelligence for A* Path Planning Application,” KIISE Fall Conference, pp. 643 – 645, 2013PDF.
• D.-M. Yoon, and K.-J. Kim, “Automatic Fabrication of Physical Objects for Board Games using Interactive Evolutionary Computation and 3D Printer”, KIISE Fall Conference, 2013 PDF
• H.-S. Park and K.-J. Kim, “Active Data Collection and Opponent Player Modeling using Estimation-Exploration Algorithm and Evolutionary Neural Network,” KIISE Fall Conference, 2013PDF
• H.-S. Jang, S.-J. Yoo, D.-I. Han and K.-J. Kim, “Comparative study of feature vectors and classification methods for sentiment analysis for online review of korean restaurant in U.S.A.,” IEEK Summer Conference, 2013PDF.
• H.-S. Park, D.-M. Yoon, H.-C. Cho, and K.-J. Kim, “Applications of machine learning for games: Case studies,” IEEK Summer Conference, 2013PDF.
• S.-S. Farooq, and K.-J. Kim, “The systematic analysis of evolved neural controllers for quadruped robots,” Korea Congress on Computer, 2013PDF.
• H.-T. Kim, and K.-J. Kim, “Development of artificial intelligence for geometry friends using A* path planning and rule-based systems,” Korea Congress on Computer, pp. 1532 – 1534, 2013 PDF.
• H.-S. Park and K.-J. Kim, “Opponent’s player’s decision modeling in iterated prisoner’s dilemma using reverse engineering technique,” Korea Congress on Computer, 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.
• H.-C. Cho, and K.-J. Kim, “Design and evaluation of intelligence architecture for RTS games: Case Study of StarCraft,” Fall Conference of Korea Culture & Contents Technology Association, 2012. PDF
• H.-J. Cha, and K.-J. Kim, “Building a WIKI-style portal site to popularize game AI competitions,” Fall Conference of Korea Culture & Contents Technology Association, 2012.
• H.-S. Park, A.-R. Park and K.-J. Kim, “Fault-tolerant analog circuit design using average and worst case analysis evolutionary strategy,” Korea Congress on Computer 2012. PDF
• D.-M. Yoon, and K.-J. Kim, “Web-based Game Content Generation Method using L-system and Interactive Genetic Algorithm,” Korea Congress on Computer 2012.PDF
• S.S.Farooq, H.M.W.Khalil and A.Arif,“Cost effective design of Autonomous Chess Playing Robot for AI research platform,” Korea Congress on Computer 2012. PDF
• H.-S. Park, and K.-J. Kim, “Python bytecode evolution using stack-based genetic programming for regression problems,” Symposium on Brain and Artificial Intelligence, 2012 (Abstract). PDF
• D.-M. Yoon, and K.-J. Kim, “Comparison of scoring input methods for IGA-based image retouching system,” Symposium on Brain and Artificial Intelligence, 2012 (Abstract). PDF
• K.-J. Kim, “Building a 3D printer for in-situ fault-tolerant robots,” HCI 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
• H.-S. Park, and K.-J. Kim, “Genetic Programming using Bytecode-Level Evolution for Python Programming Language,” KIISE Fall Conference, 2011 PDF.
• D.-M. Yoon, K.-J. Kim, “Dimensionality reduction of speeded up robust features using neural networks for object recognition in mobile environments,” Korea Congress on Computer, 2011 PDF.
• J.-G. Park, and K.-J. Kim, “Real-time traffic sign detection using K-means clustering and neural network,” Korea Congress on Computer, 2011.PDF
• K.-O. Yoon, and K.-J. Kim, “Design of 3D car racing controller using real-time track modeling and high-level sensors,” Korea Congress on Computer, 2011.PDF
• K.-J. Kim and S.-B. Cho, “Automated evaluation and prediction of StarCraft strategy using data mining techniques,” Proc. of Korea Business Intelligence Data Mining Conference, 2011.PDF
• J.-G. Park, and K.-J. Kim, “Performance evaluation of self-adaptive evolutionary strategy for evolutionary robotics,” HCI 2011 (accepted). PDF
• D.-M. Yoon, and K.-J. Kim, “Prediction of rating score from short comments on movies using word-rating correlation analysis,” HCI 2011 (accepted). PDF
• H.-S. Park, and K.-J. Kim, “Research on scalability of evolutionary analog circuits: Band-pass filter case study,” HCI 2011 (accepted).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
• K.-H. Oh, K.-J. Kim, and S.-B. Cho, “Generating a variety of robot controllers by using speciation based on behavior,” KIISE Fall Conference, vol. 37, no. 2(A), pp. 62-63, 2010. PDF
• S.-H. Lee, K.-J. Kim, and S.-B. Cho, “Observation on leadership in evolving robot colony,” KIISE Fall Conference, vol. 37, no. 2(A), pp. 64-65, 2010. PDF
• K.-J. Kim, “Unmanned ground vehicle programming with TORCS-based car simulator,” The 6th National Defense Information and Control Technology Conference, pp. 147-149, 2010.
• K.-J. Kim, “Automated design of fault-tolerant robots using evolutionary computation,” The 6th National Defense Information and Control Technology Conference, pp. 150-152, 2010. PDF
• D.-M. Yoon, H.-Y. Do, K.-J. Kim, “Menu-based clustering for restaurant recommendation websites using sequential informtion bottleneck,” Korea Congress on Computer, vol. 37, no. 1(C), pp. 423-428, 2010. PDF
• J.-G. Park, K.-J. Kim, “Feature extraction for off-line handwritten character recognition using SIFT descriptor,” Korea Congress on Computer, vol. 37, no. 1(C), pp. 496-500, 2010. PDF
• H.-S. Park, and K.-J. Kim, “Systematic evaluation of island based real-valued genetic algorithm with graphics processing unit,” Korea Congress on Computer, vol. 37, no. 1(C), pp. 328-333, 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
• Y.-S. Lee, K.-J. Kim, and S.-B. Cho, “Life log story generation in mobile using user context and petri net,” Proceedings of the Korea Computer Congress, vol. 34, no. 1(A), pp. 97-98, 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

   2023

• H.-Y. Jung, and K.-J. Kim, “Discrete Prompt Compression with Reinforcement Learning,” arXiv:2308.08758, [Link]
• H.-C. Jeon, I.-C. Baek, C.-M. Bae, T.-H. Park, W.-S. You, T.G. Ha, H.Y. Jung, J.H. Noh, S.W. OH, and K.-J. Kim, “RaidEnv: Exploring new challenges in automated content balancing for boss raid games,” arXiv:2307.01676, [Link]. 
• H.-C. Jeon, and K.-J. Kim, “Behavioral differences is the key of ad-hoc team cooperation in multiplayer games Hanabi,” arXiv:2303.06775, [Link].  

    Pending 

• Y.-H. Choi, K.-J. Kim,  Ecehan A., D.-H. Park, S.-H. Lee, H.-C. Jeon, I. Han, “Method and device for estimating locomotion in virtual reality,” Aug 2023 (U.S. Patent Pending).  
  
• Y.-H. Choi, E.-H. Kim, J.-H. Noh,  K.-J. Kim, “Motion Feedback Method and System using Normalized Data,” May 2023 (Pending). 
• H.-T. Joo, S.-H. Lee, C.-M. Bae, K.-J. Kim, “Learning system and method for automatic observing service,” Dec 2022 (Pending). 
• Y.-H. Choi, K.-J. Kim,  Ecehan A., D.-H. Park, S.-H. Lee, H.-C. Jeon, I. Han, “Method and device for estimating locomotion in virtual reality,” Aug 2022 (Pending).  
• K.-J. Kim, J. -Y. Moon, T.-H. Park, Y.-J. Choi, J.-D. Choi, and J.-H. Hong, “Apparatus and method for adjusting game difficulty based on user satisfaction,” Feb 2022 (Pending). 

    2019

• J.-H. Jeon, D.-M. Yoon, S.-M. Choi, and K.-J. Kim, “Apparatus and method for generating procedural content,” April 2019 (Registered).

    2018

• B.-J. Min, S.-M. Choi, and K.-J. Kim, “Apparatus and method for controlling personalized and automatic play of game,” Nov 2018 (Registered).

    2016

• J.-C. Na, K.-J. Kim, E.-K. Kim, C.-M. Bae, and J.-C. Lee, “Method for generating mazes, and device implementing this method,” Oct 2016 (Registered).
• D.-M. Yoon, and K.-J. Kim, “Method and Apparatus for identifying eyeball position, Method and Apparatus for tracking eyeball position,” July 2016 (Registered)
• H.-T. Kim, and K.-J. Kim, “Recommendation system and method for video interesting section,” April 2016 (Registered).
• H.-C. Cho, I.-S. Oh and K.-J. Kim, “System and method for generating artificial intelligence of game character based on imitation of game play data,” March 2016 (Registered).

    2015

• H.-T. Kim and K.-J. Kim, “Device and method for extracting video using realization of facial expression,” Nov 2015 (Registered).
• D.-M. Yoon, and K.-J. Kim, “Device and method for recording dramatic video based on user’s emotion,” June 2015 (Registered).

    2014

• D.-M. Yoon, and K.-J. Kim, “Joint robot arm based on a spherical coordinate and control method of the same,” Nov 2014 (Registered).
• D.-M. Yoon, and K.-J. Kim, “Method for detecting sensor trouble of mobile device,” Jan 2014 (Registered).