International Conference Papers


Lee, W.S., Lee, Y.M., Kim, H.Y., and Moon, I.-C., 2016. Bayesian Nonparametric Collaborative Topic Poisson Factorization for Electronic Health Records-Based Phenotyping. In International Joint Conference on Artificial Intelligence (IJCAI 2016). pp.2544-2552, New York, USA

No. Subject
55 Byeonghu Na, Hyemi Kim, Kyungwoo Song, Weonyoung Joo, Yoon-Yeong Kim, and Il-Chul Moon, Deep Generative Positive-Unlabeled Learning under Selection Bias, ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020 file
54 Tae-Sub Yun, Young-Chul Kim, Ki-Sung Jin, and Il-Chul Moon, AGENT-BASED MODELING AND SIMULATION ON RESIDENTIAL POPULATION MOVEMENT PATTERNS: THE CASE OF SEJONG CITY, Proceedings of the 2020 Winter Simulation Conference (WinterSim 2020), Dec 13-16 file
53 Tae-Sub Yun and Il-Chul Moon, Housing Market Agent Based Simulation with Loan-To-Value and Debt-To-Income, International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2019), Torino, Italy, Oct 28-31. file
52 Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, and Il-Chul Moon, Sequential Recommendation with Relation-Aware Kernelized Self-Attention​. AAAI Conference on Artificial Intelligence (AAAI 2020). New York. Feb. 7-12 file
51 Su-Jin Shin, Kyungwoo Song, and Il-Chul Moon, Hierarchically Clustered Representation Learning, AAAI Conference on Artificial Intelligence (AAAI 2020). New York. Feb. 7-12 file
50 Kyungwoo Song, JoonHo Jang, Seung jae Shin and Il-Chul Moon, Bivariate Beta-LSTM. AAAI Conference on Artificial Intelligence (AAAI 2020). New York. Feb. 7-12 file
49 Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, and Il-Chul Moon, Adversarial Dropout for Recurrent Neural Networks. AAAI Conference on Artificial Intelligence (AAAI 2019). Hawaii. Jan. 27-Feb. 1 file
48 Kyungwoo Song, Mingi Ji, Sungrae Park, and Il-Chul Moon. Hierarchical Context enabled Recurrent Neural Network for Recommendation. AAAI Conference on Artificial Intelligence (AAAI 2019). Hawaii. Jan. 27-Feb. 1 file
47 Wonsung Lee, Sungrae Park, Weonyoung Joo, and Il-Chul Moon, Diagnosis Prediction via Medical Context Attention Networks Using Deep Generative Modeling, 2018 IEEE International Conference on Data Mining (ICDM'18), Nov. 17-20, Singapore (Short Paper) file
46 Seongcheol Woo, Juneyeong Yeon, Mingi Ji, Il-Chul Moon, Jinkyoo Park. Deep Reinforcement Learning with Fully Convolutional Neural Network to Solve An Earthwork Scheduling Problem. IEEE Conference on System, Man, and Cybernetics 2018 (SMC 2018) file
45 Il-Chul Moon, Dongjun Kim, Tae-Sub Yun, Jang Won Bae, Dong-oh kang, and Euihyun Paik. Data-Driven Automatic Calibration for Validation of Agent-Based Social Simulations. IEEE International Conference on Systems, Man, and Cybernetics 2018 (SMC 2018) file
44 Yoon-Yeong Kim, Wonsung Lee, and Il-Chul Moon, Black-Box Expectation-Maximization Algorithm for Estimating Latent States of High-Speed Vehicles, 18th International Conference on Control, Automation and Systems (ICCAS 2018), Oct. 17–20 file
43 Il-Chul Moon, Jinhyung Tak, Sang-Hyeon Kim, and Kyungwoo Song, Ballistic Coefficient Estimation with Gaussian Process Particle Filter, 18th International Conference on Control, Automation and Systems (ICCAS 2018) file
42 Kyungwoo Song, Wonsung Lee, and Il-Chul Moon. Neural Ideal Point Estimation Network. AAAI Conference on Artificial Intelligence (AAAI 2018). New Orleans. Feb 2-7 file
41 Sungrae Park, Jun-Keon Park, Su-Jin Shin, and Il-Chul Moon. Adversarial Dropout for Supervised and Semi-Supervised Learning. AAAI Conference on Artificial Intelligence (AAAI 2018). New Orleans. Feb 2-7 file
40 Wonsung Lee, Kyungwoo Song, and Il-Chul Moon. Augmented Variational Autoencoders for Collaborative Filtering with Auxiliary Information, ACM Conference on Information and Knowledge Management (CIKM 2017), Singapore, Nov 6-10 file
39 Jang Won Bae, Bowon Nam, Kee-Eung Kim, Junseok Lee and Il-Chul Moon. Hybrid Modeling and Simulation of Tactical Maneuvers in Computer Generated Force, IEEE Conference on System, Man, and Cybernetics 2017 (SMC 2017), Banff, Canada, Oct 5-8 file
38 JunKeon Park, YeongYeon Na, and Il-Chul Moon. Text Augmented Automatic Statistician for Predicting Approval Rates of Politicians, IEEE Conference on System, Man, and Cybernetics 2017 (SMC 2017), Banff, Canada, Oct 5-8 file
37 T. Lee et al., "Characterizing emergency responses in localities with different social infrastructures using EMSSim," 2016 Winter Simulation Conference (WSC), Washington, DC, USA, 2016, pp. 1926-1937. file
36 Chi-Jung Jung and Il-Chul Moon. Intelligent Behavior Modeling on Information Delivery of Time-Sensitive Targets, 2016 International Simulation Muti-Conference, AsiaSim / SCS AutumnSim, Beijing, China. file