Generalized Gumbel-Softmax gradient estimator for generic discrete random variables - Weonyoung Joo; Dongjun Kim; Seungjae Shin; Il-Chul Moon (Pattern Recognit. Lett., 2025)

Diffusion Bridge AutoEncoders for Unsupervised Representation Learning - Yeongmin Kim; Kwanghyeon Lee; Minsang Park; Byeonghu Na; Il-Chul Moon (The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025, 2025)

Trajectory-Class-Aware Multi-Agent Reinforcement Learning - Hyungho Na; Kwanghyeon Lee; Sumin Lee; Il-Chul Moon (The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025, 2025)

Distilling Dataset into Neural Field - Donghyeok Shin; HeeSun Bae; Gyuwon Sim; Wanmo Kang; Il-Chul Moon (The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025, 2025)

Trajectory-Class-Aware Multi-Agent Reinforcement Learning - Hyungho Na; Kwanghyeon Lee; Sumin Lee; Il-Chul Moon (CoRR, 2025)

Distilling Dataset into Neural Field - DongHyeok Shin; HeeSun Bae; Gyuwon Sim; Wanmo Kang; Il-Chul Moon (CoRR, 2025)

Preference Optimization by Estimating the Ratio of the Data Distribution - Yeongmin Kim; HeeSun Bae; Byeonghu Na; Il-Chul Moon (CoRR, 2025)

Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior - Youngjae Cho; HeeSun Bae; Seungjae Shin; Yeo Dong Youn; Weonyoung Joo; Il-Chul Moon (Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 2024)

Reward-based Input Construction for Cross-document Relation Extraction - Byeonghu Na; Suhyeon Jo; Yeongmin Kim; Il-Chul Moon (Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2024, Bangkok, Thailand, August 11-16, 2024, 2024)

Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning - HeeSun Bae; Seungjae Shin; Byeonghu Na; Il-Chul Moon (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

Training Unbiased Diffusion Models From Biased Dataset - Yeongmin Kim; Byeonghu Na; Minsang Park; JoonHo Jang; Dongjun Kim; Wanmo Kang; Il-Chul Moon (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

Label-Noise Robust Diffusion Models - Byeonghu Na; Yeongmin Kim; HeeSun Bae; Jung Hyun Lee; Se Jung Kwon; Wanmo Kang; Il-Chul Moon (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning - Hyungho Na; Yunkyeong Seo; Il-Chul Moon (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

Unknown Domain Inconsistency Minimization for Domain Generalization - Seungjae Shin; HeeSun Bae; Byeonghu Na; Yoon-Yeong Kim; Il-Chul Moon (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

Diffusion Rejection Sampling - Byeonghu Na; Yeongmin Kim; Minsang Park; DongHyeok Shin; Wanmo Kang; Il-Chul Moon (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning - Hyungho Na; Il-Chul Moon (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

Devs-Based Simulation Acceleration for AI Training: Unmanned Surface Vehicle Case - Juho Choi; Jang Won Bae; Il-Chul Moon (Winter Simulation Conference, WSC 2024, Orlando, FL, USA, December 15-18, 2024, 2024)

Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior - Youngjae Cho; HeeSun Bae; Seungjae Shin; Yeo Dong Youn; Weonyoung Joo; Il-Chul Moon (CoRR, 2024)

Label-Noise Robust Diffusion Models - Byeonghu Na; Yeongmin Kim; HeeSun Bae; Jung Hyun Lee; Se Jung Kwon; Wanmo Kang; Il-Chul Moon (CoRR, 2024)

Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning - Hyungho Na; Yunkyeong Seo; Il-Chul Moon (CoRR, 2024)

Training Unbiased Diffusion Models From Biased Dataset - Yeongmin Kim; Byeonghu Na; Minsang Park; JoonHo Jang; Dongjun Kim; Wanmo Kang; Il-Chul Moon (CoRR, 2024)

Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning - HeeSun Bae; Seungjae Shin; Byeonghu Na; Il-Chul Moon (CoRR, 2024)

Unknown Domain Inconsistency Minimization for Domain Generalization - Seungjae Shin; HeeSun Bae; Byeonghu Na; Yoon-Yeong Kim; Il-Chul Moon (CoRR, 2024)

Diffusion Bridge AutoEncoders for Unsupervised Representation Learning - Yeongmin Kim; Kwanghyeon Lee; Minsang Park; Byeonghu Na; Il-Chul Moon (CoRR, 2024)

Diffusion Rejection Sampling - Byeonghu Na; Yeongmin Kim; Minsang Park; DongHyeok Shin; Wanmo Kang; Il-Chul Moon (CoRR, 2024)

LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning - Hyungho Na; Il-Chul Moon (CoRR, 2024)

Reward-based Input Construction for Cross-document Relation Extraction - Byeonghu Na; Suhyeon Jo; Yeongmin Kim; Il-Chul Moon (CoRR, 2024)

Weapon-Target Assignment by Reinforcement Learning with Pointer Network - Hyungho Na; Jaemyung Ahn; Il-Chul Moon (J. Aerosp. Inf. Syst., 2023)

Sequential Likelihood-Free Inference with Neural Proposal - Dongjun Kim; Kyungwoo Song; Yoon-Yeong Kim; Yongjin Shin; Wanmo Kang; Il-Chul Moon; Weonyoung Joo (Pattern Recognit. Lett., 2023)

Loss-Curvature Matching for Dataset Selection and Condensation - Seungjae Shin; HeeSun Bae; DongHyeok Shin; Weonyoung Joo; Il-Chul Moon (International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain, 2023)

Modeling and Calibrating Digital Twin of Automatic Garbage Collection System in Sejong City - Tae-Sub Yun; Minsang Park; Il-Chul Moon (Annual Modeling and Simulation Conference, ANNSIM 2023, Hamilton, ON, Canada, May 23-26, 2023, 2023)

Hierarchical Multi-Label Classification with Partial Labels and Unknown Hierarchy - Suhyeon Jo; DongHyeok Shin; Byeonghu Na; JoonHo Jang; Il-Chul Moon (Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023, 2023)

SAAL: Sharpness-Aware Active Learning - Yoon-Yeong Kim; Youngjae Cho; JoonHo Jang; Byeonghu Na; Yeongmin Kim; Kyungwoo Song; Wanmo Kang; Il-Chul Moon (International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, 2023)

Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models - Dongjun Kim; Yeongmin Kim; Se Jung Kwon; Wanmo Kang; Il-Chul Moon (International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, 2023)

Frequency Domain-Based Dataset Distillation - DongHyeok Shin; Seungjae Shin; Il-Chul Moon (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Time-Efficient Weapon-Target Assignment by Actor-Critic Reinforcement - Muhyun Byun; Hyungho Na; Il-Chul Moon (IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023, Honolulu, Oahu, HI, USA, October 1-4, 2023, 2023)

Loss-Curvature Matching for Dataset Selection and Condensation - Seungjae Shin; HeeSun Bae; DongHyeok Shin; Weonyoung Joo; Il-Chul Moon (CoRR, 2023)

Frequency Domain-based Dataset Distillation - DongHyeok Shin; Seungjae Shin; Il-Chul Moon (CoRR, 2023)

Constructing a personalized recommender system for life insurance products with machine-learning techniques - Hyeongwoo Kong; Wonje Yun; Weonyoung Joo; Ju-Hyun Kim; Kyoung-Kuk Kim; Il-Chul Moon; Woo Chang Kim (Intell. Syst. Account. Finance Manag., 2022)

Agent-Based Model for Urban Administration: A Case Study of Bridge Construction and its Traffic Dispersion Effect - Tae-Sub Yun; Dongjun Kim; Il-Chul Moon; Jang Won Bae (J. Artif. Soc. Soc. Simul., 2022)

Practical Formalism-Based Approaches for Multi-Resolution Modeling and Simulation - Jang Won Bae; Il-Chul Moon (Syst., 2022)

Automatic Calibration Framework of Agent-based Models for Dynamic and Heterogeneous Parameters - Dongjun Kim; Tae-Sub Yun; Il-Chul Moon; Jang Won Bae (21st International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022, Auckland, New Zealand, May 9-13, 2022, 2022)

From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model - HeeSun Bae; Seungjae Shin; Byeonghu Na; JoonHo Jang; Kyungwoo Song; Il-Chul Moon (International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA, 2022)

Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation - Dongjun Kim; Seungjae Shin; Kyungwoo Song; Wanmo Kang; Il-Chul Moon (International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA, 2022)

Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation - JoonHo Jang; Byeonghu Na; DongHyeok Shin; Mingi Ji; Kyungwoo Song; Il-Chul Moon (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Maximum Likelihood Training of Implicit Nonlinear Diffusion Model - Dongjun Kim; Byeonghu Na; Se Jung Kwon; Dongsoo Lee; Wanmo Kang; Il-Chul Moon (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Automatic Calibration Framework of Agent-Based Models for Dynamic and Heterogeneous Parameters - Dongjun Kim; Tae-Sub Yun; Il-Chul Moon; Jang Won Bae (CoRR, 2022)

From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model - HeeSun Bae; Seungjae Shin; Byeonghu Na; JoonHo Jang; Kyungwoo Song; Il-Chul Moon (CoRR, 2022)

Maximum Likelihood Training of Implicit Nonlinear Diffusion Models - Dongjun Kim; Byeonghu Na; Se Jung Kwon; Dongsoo Lee; Wanmo Kang; Il-Chul Moon (CoRR, 2022)

Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation - JoonHo Jang; Byeonghu Na; DongHyeok Shin; Mingi Ji; Kyungwoo Song; Il-Chul Moon (CoRR, 2022)

Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models - Dongjun Kim; Yeongmin Kim; Wanmo Kang; Il-Chul Moon (CoRR, 2022)

Automatic calibration of dynamic and heterogeneous parameters in agent-based models - Dongjun Kim; Tae-Sub Yun; Il-Chul Moon; Jang Won Bae (Auton. Agents Multi Agent Syst., 2021)

Black-Box Expectation-Maximization Algorithm for Estimating Latent States of High-Speed Vehicles - Yoon-Yeong Kim; Hyemi Kim; Wonsung Lee; Han-Lim Choi; Il-Chul Moon (J. Aerosp. Inf. Syst., 2021)

Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder - Hyemi Kim; Seungjae Shin; JoonHo Jang; Kyungwoo Song; Weonyoung Joo; Wanmo Kang; Il-Chul Moon (Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, 2021)

Implicit Kernel Attention - Kyungwoo Song; Yohan Jung; Dongjun Kim; Il-Chul Moon (Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, 2021)

Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation - Mingi Ji; Seungjae Shin; Seunghyun Hwang; Gibeom Park; Il-Chul Moon (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, 2021)

LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning - Yoon-Yeong Kim; Kyungwoo Song; JoonHo Jang; Il-Chul Moon (Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual, 2021)

Predict Sequential Credit Card Delinquency with VaDE-Seq2Seq - Yeongmin Kim; Youngjae Cho; Hanbit Lee; Il-Chul Moon (2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021, Melbourne, Australia, October 17-20, 2021, 2021)

Posterior-Aided Regularization for Likelihood-Free Inference - Dongjun Kim; Kyungwoo Song; Seungjae Shin; Wanmo Kang; Il-Chul Moon (CoRR, 2021)

Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation - Mingi Ji; Seungjae Shin; Seunghyun Hwang; Gibeom Park; Il-Chul Moon (CoRR, 2021)

Score Matching Model for Unbounded Data Score - Dongjun Kim; Seungjae Shin; Kyungwoo Song; Wanmo Kang; Il-Chul Moon (CoRR, 2021)

Housing Market Agent-Based Simulation with Loan-To-Value and Debt-To-Income - Tae-Sub Yun; Il-Chul Moon (J. Artif. Soc. Soc. Simul., 2020)

Dirichlet Variational Autoencoder - Weonyoung Joo; Wonsung Lee; Sungrae Park; Il-Chul Moon (Pattern Recognit., 2020)

Forecasting the Concentration of Particulate Matter in the Seoul Metropolitan Area Using a Gaussian Process Model - JoonHo Jang; Seungjae Shin; Hyunjin Lee; Il-Chul Moon (Sensors, 2020)

Layered Behavior Modeling via Combining Descriptive and Prescriptive Approaches: A Case Study of Infantry Company Engagement - Jang Won Bae; Junseok Lee; Do-Hyung Kim; Kanghoon Lee; Jongmin Lee; Kee-Eung Kim; Il-Chul Moon (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Sequential Recommendation with Relation-Aware Kernelized Self-Attention - Mingi Ji; Weonyoung Joo; Kyungwoo Song; Yoon-Yeong Kim; Il-Chul Moon (The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020, 2020)

Hierarchically Clustered Representation Learning - Su-Jin Shin; Kyungwoo Song; Il-Chul Moon (The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020, 2020)

Bivariate Beta-LSTM - Kyungwoo Song; JoonHo Jang; Seungjae Shin; Il-Chul Moon (The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020, 2020)

Deep Generative Positive-Unlabeled Learning under Selection Bias - Byeonghu Na; Hyemi Kim; Kyungwoo Song; Weonyoung Joo; Yoon-Yeong Kim; Il-Chul Moon (CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020, 2020)

FEWER: Federated Weight Recovery - Yongjin Shin; Gihun Lee; Seungjae Shin; Seyoung Yun; Il-Chul Moon (DistributedML@CoNEXT 2020: Proceedings of the 1st Workshop on Distributed Machine Learning, Barcelona, Spain, December 1, 2020, 2020)

Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation - Seungjae Shin; Kyungwoo Song; JoonHo Jang; Hyemi Kim; Weonyoung Joo; Il-Chul Moon (Findings of the Association for Computational Linguistics: EMNLP 2020, Online Event, 16-20 November 2020, 2020)

Agent-Based Modeling and Simulation on Residential Population Movement Patterns: The Case of Sejong City - Tae-Sub Yun; Il-Chul Moon; Young-Chul Kim; Ki-Sung Jin (Winter Simulation Conference, WSC 2020, Orlando, FL, USA, December 14-18, 2020, 2020)

Generalized Gumbel-Softmax Gradient Estimator for Various Discrete Random Variables - Weonyoung Joo; Dongjun Kim; Seungjae Shin; Il-Chul Moon (CoRR, 2020)

Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation - Seungjae Shin; Kyungwoo Song; JoonHo Jang; Hyemi Kim; Weonyoung Joo; Il-Chul Moon (CoRR, 2020)

Adversarial Likelihood-Free Inference on Black-Box Generator - Dongjun Kim; Weonyoung Joo; Seungjae Shin; Il-Chul Moon (CoRR, 2020)

Implicit Kernel Attention - Kyungwoo Song; Yohan Jung; Dongjun Kim; Il-Chul Moon (CoRR, 2020)

Sequential Likelihood-Free Inference with Implicit Surrogate Proposal - Dongjun Kim; Kyungwoo Song; Yoon-Yeong Kim; Yongjin Shin; Il-Chul Moon (CoRR, 2020)

LADA: Look-Ahead Data Acquisition via Augmentation for Active Learning - Yoon-Yeong Kim; Kyungwoo Song; JoonHo Jang; Il-Chul Moon (CoRR, 2020)

Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder - Hyemi Kim; Seungjae Shin; JoonHo Jang; Kyungwoo Song; Weonyoung Joo; Wanmo Kang; Il-Chul Moon (CoRR, 2020)

Improving counterfire operations with enhanced command and control structure - Su-Jin Shin; Ahram Kang; Doyun Kim; Junseok Lee; Jang Won Bae; Il-Chul Moon (Comput. Math. Organ. Theory, 2019)

Adversarial Dropout for Recurrent Neural Networks - Sungrae Park; Kyungwoo Song; Mingi Ji; Wonsung Lee; Il-Chul Moon (The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019, 2019)

Hierarchical Context Enabled Recurrent Neural Network for Recommendation - Kyungwoo Song; Mingi Ji; Sungrae Park; Il-Chul Moon (The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019, 2019)

Dirichlet Variational Autoencoder - Weonyoung Joo; Wonsung Lee; Sungrae Park; Il-Chul Moon (CoRR, 2019)

Hierarchically Clustered Representation Learning - Su-Jin Shin; Kyungwoo Song; Il-Chul Moon (CoRR, 2019)

Adversarial Dropout for Recurrent Neural Networks - Sungrae Park; Kyungwoo Song; Mingi Ji; Wonsung Lee; Il-Chul Moon (CoRR, 2019)

Neural Ideal Point Estimation Network - Kyungwoo Song; Wonsung Lee; Il-Chul Moon (CoRR, 2019)

Hierarchical Context enabled Recurrent Neural Network for Recommendation - Kyungwoo Song; Mingi Ji; Sungrae Park; Il-Chul Moon (CoRR, 2019)

Bivariate Beta LSTM - Kyungwoo Song; JoonHo Jang; Seungjae Shin; Il-Chul Moon (CoRR, 2019)

Automatic Calibration of Dynamic and Heterogeneous Parameters in Agent-based Model - Dongjun Kim; Tae-Sub Yun; Il-Chul Moon (CoRR, 2019)

Sequential Recommendation with Relation-Aware Kernelized Self-Attention - Mingi Ji; Weonyoung Joo; Kyungwoo Song; Yoon-Yeong Kim; Il-Chul Moon (CoRR, 2019)

Hierarchical prescription pattern analysis with symptom labels - Su-Jin Shin; Je-Yong Oh; Sungrae Park; Minki Kim; Il-Chul Moon (Pattern Recognit. Lett., 2018)

Evaluation of Disaster Response System Using Agent-Based Model With Geospatial and Medical Details - Jang Won Bae; Kyohong Shin; Hyun-Rok Lee; Hyun Jin Lee; Taesik Lee; Chu Hyun Kim; Won Chul Cha; Gi Woon Kim; Il-Chul Moon (IEEE Trans. Syst. Man Cybern. Syst., 2018)

Neural Ideal Point Estimation Network - Kyungwoo Song; Wonsung Lee; Il-Chul Moon (Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018, 2018)

Adversarial Dropout for Supervised and Semi-Supervised Learning - Sungrae Park; Jun-Keon Park; Su-Jin Shin; Il-Chul Moon (Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018, 2018)

Diagnosis Prediction via Medical Context Attention Networks Using Deep Generative Modeling - Wonsung Lee; Sungrae Park; Weonyoung Joo; Il-Chul Moon (IEEE International Conference on Data Mining, ICDM 2018, Singapore, November 17-20, 2018, 2018)

Data-Driven Automatic Calibration for Validation of Agent-Based Social Simulations - Il-Chul Moon; Dongjun Kim; Tae-Sub Yun; Jang Won Bae; Dong-oh Kang; Euihyun Paik (IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, Miyazaki, Japan, October 7-10, 2018, 2018)

Deep Reinforcement Learning with Fully Convolutional Neural Network to Solve an Earthwork Scheduling Problem - Seongcheol Woo; Juneyeong Yeon; Mingi Ji; Il-Chul Moon; Jinkyoo Park (IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, Miyazaki, Japan, October 7-10, 2018, 2018)

Identifying prescription patterns with a topic model of diseases and medications - Sungrae Park; Doosup Choi; Minki Kim; Won Chul Cha; Chu Hyun Kim; Il-Chul Moon (J. Biomed. Informatics, 2017)

Guided HTM: Hierarchical Topic Model with Dirichlet Forest Priors - Su-Jin Shin; Il-Chul Moon (IEEE Trans. Knowl. Data Eng., 2017)

Augmented Variational Autoencoders for Collaborative Filtering with Auxiliary Information - Wonsung Lee; Kyungwoo Song; Il-Chul Moon (Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017, 2017)

Hybrid modeling and simulation of tactical maneuvers in computer generated force - Jang Won Bae; Bowon Nam; Kee-Eung Kim; Junseok Lee; Il-Chul Moon (2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, Banff, AB, Canada, October 5-8, 2017, 2017)

Text augmented automatic statistician for predicting approval rates of politicians - Jun-Keon Park; YeongYeon Na; Il-Chul Moon (2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, Banff, AB, Canada, October 5-8, 2017, 2017)

Adversarial Dropout for Supervised and Semi-supervised Learning - Sungrae Park; Jun-Keon Park; Su-Jin Shin; Il-Chul Moon (CoRR, 2017)

Accelerated simulation of hierarchical military operations with tabulation technique - Jang Won Bae; J. H. Kim; Il-Chul Moon; Tag Gon Kim (J. Simulation, 2016)

Efficient Flattening Algorithm for Hierarchical and Dynamic Structure Discrete Event Models - Jang Won Bae; Sang Won Bae; Il-Chul Moon; Tag Gon Kim (ACM Trans. Model. Comput. Simul., 2016)

LDEF Formalism for Agent-Based Model Development - Jang Won Bae; Il-Chul Moon (IEEE Trans. Syst. Man Cybern. Syst., 2016)

Data-driven ballistic coefficient learning for future state prediction of high-speed vehicles - Kyungwoo Song; Sang-Hyeon Kim; Jinhyung Tak; Han-Lim Choi; Il-Chul Moon (19th International Conference on Information Fusion, FUSION 2016, Heidelberg, Germany, July 5-8, 2016, 2016)

Bayesian Nonparametric Collaborative Topic Poisson Factorization for Electronic Health Records-Based Phenotyping - Wonsung Lee; Youngmin Lee; Heeyoung Kim; Il-Chul Moon (Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9-15 July 2016, 2016)

Characterizing emergency responses in localities with different social infrastructures using EMSSim - Taesik Lee; Kyohong Shin; Hyun-Rok Lee; Hyun Jin Lee; Inkyung Sung; Junseok Lee; Il-Chul Moon; Jang Won Bae (Winter Simulation Conference, WSC 2016, Washington, DC, USA, December 11-14, 2016, 2016)

Associative topic models with numerical time series - Sungrae Park; Wonsung Lee; Il-Chul Moon (Inf. Process. Manag., 2015)

Impact of Population Relocation to City Commerce: Micro-Level Estimation with Validated Agent-Based Model - SeHoon Lee; Jeong-Hee Hong; Jang Won Bae; Il-Chul Moon (J. Artif. Soc. Soc. Simul., 2015)

Agent-Based Simulation of Time to Decide: Military Commands and Time Delays - Woo-Seop Yun; Il-Chul Moon; Tae-Eog Lee (J. Artif. Soc. Soc. Simul., 2015)

Efficient extraction of domain specific sentiment lexicon with active learning - Sungrae Park; Wonsung Lee; Il-Chul Moon (Pattern Recognit. Lett., 2015)

Supervised Dynamic Topic Models for Associative Topic Extraction with A Numerical Time Series - Sungrae Park; Wonsung Lee; Il-Chul Moon (Proceedings of the 2015 Workshop on Topic Models: Post-Processing and Applications, TM 2015, Melbourne, Australia, October 19, 2015, 2015)

Hierarchical Prescription Pattern Analysis with Symptom Labels - Su-Jin Shin; Je-Yong Oh; Sungrae Park; Minki Kim; Il-Chul Moon (IEEE International Conference on Data Mining Workshop, ICDMW 2015, Atlantic City, NJ, USA, November 14-17, 2015, 2015)

EMSSIM: emergency medical service simulator with geographic and medical details - Il-Chul Moon; Jang Won Bae; Junseok Lee; Doyun Kim; Hyun-Rok Lee; Taesik Lee; Won Chul Cha; Ju-Hyun Kim; Gi Woon Kim (Proceedings of the 2015 Winter Simulation Conference, Huntington Beach, CA, USA, December 6-9, 2015, 2015)

Comparative study of command and control structure between rok and us field artillery battalion - Ahram Kang; Doyun Kim; Junseok Lee; Jang Won Bae; Il-Chul Moon (Proceedings of the 2015 Winter Simulation Conference, Huntington Beach, CA, USA, December 6-9, 2015, 2015)

Simulation-based analyses of an evacuation from a metropolis during a bombardment - Jang Won Bae; SeHoon Lee; Jeong-Hee Hong; Il-Chul Moon (Simul., 2014)

Modeling multiple fields of collective emotions with brownian agent-based model - Wonsung Lee; Sungrae Park; Il-Chul Moon (International conference on Autonomous Agents and Multi-Agent Systems, AAMAS '14, Paris, France, May 5-9, 2014, 2014)

Disease-medicine topic model for prescription record mining - Sungrae Park; Doosup Choi; Wonsung Lee; Dain Jung; Minki Kim; Il-Chul Moon (2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014, San Diego, CA, USA, October 5-8, 2014, 2014)

Identifying the evolution of disasters and responses with network-text analysis - Kyungwoo Song; Do-Hyeong Kim; Su-Jin Shin; Il-Chul Moon (2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014, San Diego, CA, USA, October 5-8, 2014, 2014)

Network analysis approach to study hospitals' prescription patterns focused on the impact of new healthcare policy - Wonsung Lee; Gene Yi; Dain Jung; Minki Kim; Il-Chul Moon (2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014, San Diego, CA, USA, October 5-8, 2014, 2014)

Simulation experiment of routing strategy for evacuees and disaster responders - SeHoon Lee; Jang Won Bae; Junseok Lee; Jeong-Hee Hong; Il-Chul Moon (Proceedings of the Agent-Directed Simulation Symposium, part of the 2014 Spring Simulation Multiconference, SpringSim '14, Tampa, FL, USA, April 13-16, 2014, 2014)

Formal agent-based models of social systems - Il-Chul Moon (Modeling and Simulation-Based Systems Engineering Handbook, 2014)

Modeling and Simulating Command and Control - For Organizations Under Extreme Situations - Il-Chul Moon; Kathleen M. Carley; Tag Gon Kim (Springer, 2013)

Impact of population relocation to city commerce: micro-level estimation with agent-based model - SeHoon Lee; JoonSoo Shin; GeunHo Lee; Il-Chul Moon (Proceedings of the Agent-Directed Simulation Symposium, part of the 2013 Spring Simulation Multiconference, SpringSim '13, San Diego, CA, USA, April 07 - 10, 2013, 2013)

Theoretic interplay between abstraction, resolution, and fidelity in model information - Il-Chul Moon; Jeong-Hee Hong (Winter Simulations Conference: Simulation Making Decisions in a Complex World, WSC 2013, Washington, DC, USA, December 8-11, 2013, 2013)

New insight into doctrine via simulation interoperation of heterogeneous levels of models in battle experimentation - Jeong-Hoon Kim; Il-Chul Moon; Tag Gon Kim (Simul., 2012)

Formal specification supporting incremental and flexible agent-based modeling - Jang Won Bae; GeunHo Lee; Il-Chul Moon (Winter Simulation Conference, WSC '12, Berlin, Germany, December 9-12, 2012, 2012)

Analyzing social media in escalating crisis situations - Il-Chul Moon; Alice H. Oh; Kathleen M. Carley (2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011, Beijing, China, 10-12 July, 2011, 2011)

Personalized Email Prioritization Based on Content and Social Network Analysis - Yiming Yang; Shinjae Yoo; Frank Lin; Il-Chul Moon (IEEE Intell. Syst., 2010)

Learning Influence Propagation of Personal Blogs with Content and Network Analyses - Il-Chul Moon; Dongwoo Kim; Yohan Jo; Alice H. Oh (Proceedings of the 2010 IEEE Second International Conference on Social Computing, SocialCom / IEEE International Conference on Privacy, Security, Risk and Trust, PASSAT 2010, Minneapolis, Minnesota, USA, August 20-22, 2010, 2010)

DEVS-based doctrine validation of fleet anti-air defense - Jeong-Hoon Kim; Chang Beom Choi; Il-Chul Moon; Tag Gon Kim (Proceedings of the 2010 Spring Simulation Multiconference, SpringSim 2010, Orlando, Florida, USA, April 11-15, 2010, 2010)

Collaborative Work in Domain-Specific Discrete Event Simulation Software Development: Fleet Anti-air Defense Simulation Software - Chang Ho Sung; Il-Chul Moon; Tag Gon Kim (19th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises, WETICE 2010, Larissa, Greece, 28-30 June 2010, Proceedings, 2010)

Simulation analysis on destabilization of complex adaptive organizations - Il-Chul Moon (2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications, CISDA 2009, Ottawa, Canada, July 8-10, 2009, 2009)

Temporal Issue Trend Identifications in Blogs - Il-Chul Moon; Young-Min Kim; Hyun-Jong Lee; Alice H. Oh (Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, CSE 2009, Vancouver, BC, Canada, August 29-31, 2009, 2009)

Mining social networks for personalized email prioritization - Shinjae Yoo; Yiming Yang; Frank Lin; Il-Chul Moon (Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28 - July 1, 2009, 2009)

Modeling and Simulating Terrorist Networks in Social and Geospatial Dimensions - Il-Chul Moon; Kathleen M. Carley (IEEE Intell. Syst., 2007)

Self-organizing social and spatial networks under what-if scenarios - Il-Chul Moon; Kathleen M. Carley (6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), Honolulu, Hawaii, USA, May 14-18, 2007, 2007)

Evolving multi-agent network structure with organizational learning - Il-Chul Moon; Kathleen M. Carley (Proceedings of the 2007 Spring Simulation Multiconference, SpringSim 2007, Norfolk, Virginia, USA, March 25-29, 2007, Volume 2, 2007)

Evolution of Player Skill in the America's Army Game - Il-Chul Moon; Mike Schneider; Kathleen M. Carley (Simul., 2006)

Estimating the Near-Term Changes of an Organization with Simulations - Il-Chul Moon; Kathleen M. Carley (Interaction and Emergent Phenomena in Societies of Agents, Papers from the 2006 AAAI Fall Symposium, Washington, DC, USA, October 13-15, 2006, 2006)