![]() ![]() Kim (2020), " Multiresolution spatial generalized linear mixed model for integrating multi-fidelity spatial count data without common identifiers between data sources, " Spatial Statistics, 39, 100467. Kim (2020), " Semi-Supervised Multi-Label Learning for Classification of Wafer Bin Maps with Mixed-Type Defect Patterns, " IEEE Transactions on Semiconductor Manufacturing, 33(4), 653-662. Kim (2020), " OOD-MAML: Meta-Learning for Few-Shot Out-of-Distribution Detection and Classification, " Conference on Neural Information Processing Systems ( NeurIPS) 2020. Kim (2021), "Combined unsupervised-supervised machine learning for phenotyping complex diseases with its application to obstructive sleep apnea, " Scientific Reports, 11, 4457. Kim (2021), "Bayesian Variable Selection in Clustering High-Dimensional Data via a Mixture of Finite Mixtures, " Journal of Statistical Computation and Simulation, 91, 2551-2568. Deng (2021), "Robust estimation of sparse precision matrix using adaptive weighted graphical Lasso approach, " Journal of Nonparametric Statistics, 33, 249-272. Kim (2021), "Objective Bound Conditional Gaussian Process for Bayesian Optimization," International Conference on Machine Learning (ICML) 2021. Kim (2021), " Locally Most Powerful Bayesian Test for Out-of-Distribution Detection using Deep Generative Models," Conference on Neural Information Processing Systems ( NeurIPS) 2021. ![]() Kim (2021), "ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning," Conference on Neural Information Processing Systems ( NeurIPS) 2021. Kim (2021), " Prediction of highly imbalanced semiconductor chip-level defects using uncertainty-based adaptive margin learning, " IISE Transactions, accepted. Kim (2021), " Contextual anomaly detection for high-dimensional data using Dirichlet process variational autoencoder, " IISE Transactions, accepted. Kim (2021), " Deep embedding kernel mixture networks for conditional anomaly detection in high-dimensional data, " International Journal of Production Research, accepted. Lee (2022), "Toward robust battle experimental design for command and control of mechanized infantry brigade," Military Operations Research, 27(1), 45-72. Kim (202 2 ), " Simultaneous band selection and segmentation of hyperspectral images via a mixture of finite maximum margin mixtures, " International Journal of Remote Sensing, 43(6), 2296-2314. ( Selected as a featured article and highlighted in the ISE magazine ) Kim (202 2 ), "Deep Gaussian process models for integrating multifidelity experiments with non-stationary relationships, " IISE Transactions, 54(7), 686-698. Kim (2022), "Label-Noise Robust Deep Generative Model for Semi-Supervised Learning," Technometrics, accepted. Kim (2022), "Toward data-driven digital therapeutics analytics: literature review and research directions," IEEE/CAA Journal of Automatica Sinica, accepted. Kim (2023), "Inverse-Reference Priors for Fisher Regularization of Bayesian Neural Networks," Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23), Washington, DC, USA, February 2023. ![]()
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