Diagnosis Prediction via Medical Context Attention Networks Using Deep Generative Modeling. - Wonsung Lee; Sungrae Park; Weonyoung Joo; Il-Chul Moon (ICDM, 2018)

Sequential Recommendation with Relation-Aware Kernelized Self-Attention. - Mingi Ji; Weonyoung Joo; Kyungwoo Song; Yoon-Yeong Kim; Il-Chul Moon (AAAI, 2020)

Deep Generative Positive-Unlabeled Learning under Selection Bias. - Byeonghu Na; Hyemi Kim; Kyungwoo Song; Weonyoung Joo; Yoon-Yeong Kim; Il-Chul Moon (CIKM, 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 (EMNLP (Findings), 2020)

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

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

The layer number of α-evenly distributed point sets. - Ilkyoo Choi; Weonyoung Joo; Minki Kim (Discret. Math., 2020)

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

Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder. - Hyemi Kim; Seungjae Shin; JoonHo Jang; Kyungwoo Song; Weonyoung Joo; Wanmo Kang; Il-Chul Moon (AAAI, 2021)

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)

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

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 (AAAI, 2024)

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