| 2025 | ICLR | Diffusion Bridge AutoEncoders for Unsupervised Representation Learning. | Yeongmin Kim, Kwanghyeon Lee, Minsang Park, Byeonghu Na, Il-Chul Moon |
| 2025 | ICLR | Trajectory-Class-Aware Multi-Agent Reinforcement Learning. | Hyungho Na, Kwanghyeon Lee, Sumin Lee, Il-Chul Moon |
| 2025 | ICLR | Distilling Dataset into Neural Field. | Donghyeok Shin, HeeSun Bae, Gyuwon Sim, Wanmo Kang, Il-Chul Moon |
| 2024 | AAAI | 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 |
| 2024 | ACL | Reward-based Input Construction for Cross-document Relation Extraction. | Byeonghu Na, Suhyeon Jo, Yeongmin Kim, Il-Chul Moon |
| 2024 | ICLR | Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning. | HeeSun Bae, Seungjae Shin, Byeonghu Na, Il-Chul Moon |
| 2024 | ICLR | Training Unbiased Diffusion Models From Biased Dataset. | Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-Chul Moon |
| 2024 | ICLR | Label-Noise Robust Diffusion Models. | Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon |
| 2024 | ICLR | Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning. | Hyungho Na, Yunkyeong Seo, Il-Chul Moon |
| 2024 | ICLR | Unknown Domain Inconsistency Minimization for Domain Generalization. | Seungjae Shin, HeeSun Bae, Byeonghu Na, Yoon-Yeong Kim, Il-Chul Moon |
| 2024 | ICML | Diffusion Rejection Sampling. | Byeonghu Na, Yeongmin Kim, Minsang Park, DongHyeok Shin, Wanmo Kang, Il-Chul Moon |
| 2024 | ICML | LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning. | Hyungho Na, Il-Chul Moon |
| 2024 | WSC | Devs-Based Simulation Acceleration for AI Training: Unmanned Surface Vehicle Case. | Juho Choi, Jang Won Bae, Il-Chul Moon |
| 2023 | AISTATS | Loss-Curvature Matching for Dataset Selection and Condensation. | Seungjae Shin, HeeSun Bae, DongHyeok Shin, Weonyoung Joo, Il-Chul Moon |
| 2023 | CIKM | Hierarchical Multi-Label Classification with Partial Labels and Unknown Hierarchy. | Suhyeon Jo, DongHyeok Shin, Byeonghu Na, JoonHo Jang, Il-Chul Moon |
| 2023 | ICML | SAAL: Sharpness-Aware Active Learning. | Yoon-Yeong Kim, Youngjae Cho, JoonHo Jang, Byeonghu Na, Yeongmin Kim, Kyungwoo Song, Wanmo Kang, Il-Chul Moon |
| 2023 | ICML | Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models. | Dongjun Kim, Yeongmin Kim, Se Jung Kwon, Wanmo Kang, Il-Chul Moon |
| 2023 | SMC | Time-Efficient Weapon-Target Assignment by Actor-Critic Reinforcement. | Muhyun Byun, Hyungho Na, Il-Chul Moon |
| 2022 | ICML | 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 |
| 2022 | ICML | 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 |
| 2021 | AAAI | Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder. | Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon |
| 2021 | AAAI | Implicit Kernel Attention. | Kyungwoo Song, Yohan Jung, Dongjun Kim, Il-Chul Moon |
| 2021 | CVPR | Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation. | Mingi Ji, Seungjae Shin, Seunghyun Hwang, Gibeom Park, Il-Chul Moon |
| 2021 | SMC | Predict Sequential Credit Card Delinquency with VaDE-Seq2Seq. | Yeongmin Kim, Youngjae Cho, Hanbit Lee, Il-Chul Moon |
| 2020 | AAAI | Sequential Recommendation with Relation-Aware Kernelized Self-Attention. | Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon |
| 2020 | AAAI | Hierarchically Clustered Representation Learning. | Su-Jin Shin, Kyungwoo Song, Il-Chul Moon |
| 2020 | AAAI | Bivariate Beta-LSTM. | Kyungwoo Song, JoonHo Jang, Seungjae Shin, Il-Chul Moon |
| 2020 | CIKM | Deep Generative Positive-Unlabeled Learning under Selection Bias. | Byeonghu Na, Hyemi Kim, Kyungwoo Song, Weonyoung Joo, Yoon-Yeong Kim, Il-Chul Moon |
| 2020 | CoNEXT | FEWER: Federated Weight Recovery. | Yongjin Shin, Gihun Lee, Seungjae Shin, Seyoung Yun, Il-Chul Moon |
| 2020 | EMNLP | 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 |
| 2020 | WSC | 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 |
| 2019 | AAAI | Adversarial Dropout for Recurrent Neural Networks. | Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon |
| 2019 | AAAI | Hierarchical Context Enabled Recurrent Neural Network for Recommendation. | Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon |
| 2018 | AAAI | Adversarial Dropout for Supervised and Semi-Supervised Learning. | Sungrae Park, Jun-Keon Park, Su-Jin Shin, Il-Chul Moon |
| 2018 | AAAI | Neural Ideal Point Estimation Network. | Kyungwoo Song, Wonsung Lee, Il-Chul Moon |
| 2018 | ICDM | Diagnosis Prediction via Medical Context Attention Networks Using Deep Generative Modeling. | Wonsung Lee, Sungrae Park, Weonyoung Joo, Il-Chul Moon |
| 2018 | SMC | 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 |
| 2018 | SMC | 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 |
| 2017 | CIKM | Augmented Variational Autoencoders for Collaborative Filtering with Auxiliary Information. | Wonsung Lee, Kyungwoo Song, Il-Chul Moon |
| 2017 | SMC | 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 | SMC | Text augmented automatic statistician for predicting approval rates of politicians. | Jun-Keon Park, YeongYeon Na, Il-Chul Moon |
| 2016 | FUSION | 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 |
| 2016 | IJCAI | Bayesian Nonparametric Collaborative Topic Poisson Factorization for Electronic Health Records-Based Phenotyping. | Wonsung Lee, Youngmin Lee, Heeyoung Kim, Il-Chul Moon |
| 2016 | WSC | 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 |
| 2015 | CIKM | Supervised Dynamic Topic Models for Associative Topic Extraction with A Numerical Time Series. | Sungrae Park, Wonsung Lee, Il-Chul Moon |
| 2015 | ICDM | Hierarchical Prescription Pattern Analysis with Symptom Labels. | Su-Jin Shin, Je-Yong Oh, Sungrae Park, Minki Kim, Il-Chul Moon |
| 2015 | WSC | 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 |
| 2015 | WSC | 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 |
| 2014 | SMC | 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 | SMC | Disease-medicine topic model for prescription record mining. | Sungrae Park, Doosup Choi, Wonsung Lee, Dain Jung, Minki Kim, Il-Chul Moon |
| 2014 | SMC | Identifying the evolution of disasters and responses with network-text analysis. | Kyungwoo Song, Do-Hyeong Kim, Su-Jin Shin, Il-Chul Moon |
| 2013 | WSC | Theoretic interplay between abstraction, resolution, and fidelity in model information. | Il-Chul Moon, Jeong-Hee Hong |
| 2012 | WSC | Formal specification supporting incremental and flexible agent-based modeling. | Jang Won Bae, GeunHo Lee, Il-Chul Moon |
| 2011 | ISI | Analyzing social media in escalating crisis situations. | Il-Chul Moon, Alice H. Oh, Kathleen M. Carley |
| 2010 | WETICE | 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 |
| 2009 | KDD | Mining social networks for personalized email prioritization. | Shinjae Yoo, Yiming Yang, Frank Lin, Il-Chul Moon |