Woojin Soh
Ph.D., 2015, "Development and Comparison of Parameter Design Methods for Multiple Performance Characteristics"
Affiliation: NVIDIA
Youngmin Lee
Ph.D., 2020, "Bayesian Nonparametric Models for Spatial Data Analysis"
Affiliation: Samsung Electronics
Taewon Jeong
Ph.D., 2021, "Machine Learning Methods for Black-Box Optimization and Image Classification"
Affiliation: Samsung Electronics
Hyojoong Kim
Ph.D., 2022, "Machine Learning Methods for Contextual Anomaly Detection"
Affiliation: Assistant professor, Department of Industrial and Management Engineering, Myongji University
Keunseo Kim
Ph.D., 2022, "Deep Learning Methods for Anomaly Detection and Robust Density Estimation"
Affiliation: Samsung Advanced Institute of Technology
Jinman Bak
Ph.D., 2022, "Few-Shot Out-of-Distribution Detection and Classification for Mixed-Type Defect Patterns"
Affiliation: Defense Agency of Technology and Quality (DTaQ)
Woojin Doo
Ph.D., 2022, "Simultaneous Clustering and Feature Selection for High-dimensional Data"
Affiliation: Samsung Electronics
Hyuck Lee
Ph.D., 2024, "Class-Imbalanced Semi-Supervised Learning"
Affiliation: KRAFTON AI
Heegeon Yoon
Ph.D., 2025, "Deep Learning Models for Robust Training of Incomplete and Imbalanced Data"
Affiliation: Samsung Electronics
Eun-Yeol Ma
Ph.D., 2025, "Deep Learning Methods for Discovering Causal Factors and Their Applications"
Affiliation: Samsung AI Center
Wonmo Koo
Ph.D., 2026, "Deep Learning Models for Multivariate Time Series Forecasting and Anomaly Detection"
Jaehwan Lee
M.S., 2016, "Hierarchical Spatially Varying Coefficient Process Models with Application to Housing Market Analysis"
Affiliation: SK Telecom
Yonghan Jung
M.S., 2016, "Detection of Premature Ventricular Contraction Using Wavelet-Based Statistical ECG Monitoring"
Affiliation: Assistant professor, School of Information Sciences, University of Illinois at Urbana-Champaign
Hyojoong Kim
M.S., 2016, "Functional Logistic Regression with Fused Lasso Penalty"
Affiliation: Ph.D. student in iStat Lab
Jinho Kim
M.S., 2016, "Detection and Clustering of Mixed-Type Defect Patterns in Wafer Bin Maps"
Affiliation: SK Hynix
Keunseo Kim
M.S., 2016, "TrailSense : A Crowdsensing System for Detecting Risky Mountain Trail Segments with Walking Pattern Analysis"
Affiliation: Ph.D. student in iStat Lab
Jihoon Chung
M.S., 2017, "Crime Risk Maps : Multivariate Analysis of Spatial Crime Data"
Affiliation: Assistant professor, Department of Industrial Engineering, Hanyang University
Vinnam Kim
M.S., 2017, "Spatio-Temporal Autoregressive Models of Monthly Air Passenger Flows "
Affiliation: NCSoft
Kiryong Kyeong
M.S., 2018, "Classification of Mixed-Type Defects Patterns in Wafer Bin Maps Using Convolutional Neural Networks"
Affiliation: NCSoft
Woojin Doo
M.S., 2018, "Modeling the Probability of A Batter/Pitcher Matchup Dvent : A Bayesian Approach "
Affiliation: Ph.D. student in iStat Lab
Taeyoung Ko
M.S., 2019, "Fault Diagnosis for High-Dimensional Complex Process Using Semi-Dupervised Deep Convolutional Generative Models"
Affiliation: NICE
Jeonghyun Choi
M.S., 2019, "Improving Baseball Pitch Type Classification Through Clustering of Pitchers"
Affiliation: TmaxSoft
Eunyeol Ma
M.S., 2019, "Phenotyping Obstructive Sleep Apnea Patients and Prognosis of Their Comorbidities Through Machine Learning Methods"
Affiliation: Ph.D. student in iStat Lab
Wonmo Koo
M.S., 2019, "Bayesian Nonparametric Latent Class Model for Longitudinal Data "
Affiliation: Ph.D. student in iStat Lab
Jongwoo Ko
M.S., 2020, "Deep Gaussian Process Models for Integrating Multifidelity Experiments Having Non-stationary Relationship"
Affiliation: Graduate School of AI, KAIST
Hyuk Lee
M.S., 2020, "Semi-Supervised Multi-Label Learning for Classification of Wafer Bin Maps with Mixed-type Defect Patterns"
Affiliation: Ph.D. student in iStat Lab
Yunseung Hyun
M.S., 2020, "Memory-Augmented Convolutional Neural Networks with Triplet Loss for Imbalanced Wafer Defect Pattern Classification"
Jonghyun Hwang
M.S., 2020, "Variational Deep Clustering of Wafer Map Patterns"
Affiliation: Samsung Electronics
Sumin Park
M.S., 2021, "A Bayesian Deep Learning Method for Predicting Highly Imbalanced Package Test Results"
Affiliation: SK Hynix
Sumin Kim
M.S., 2021, "Noisy Label Correction for Classification of Wafer Bin Maps with Mixed-Type Defect Patterns"
Affiliation: Hyundai Card
Junsub Jung
M.S., 2021, "Location Dependent Dirichlet Process Mixture Model for Clustering Spatially Correlated Time Series"
Affiliation: Ph.D. student in iStat Lab
Jaehyun Lee
M.S., 2022, "Semi-Supervised Learning for Simultaneous Location Detection and Classification of Mixed-Type Defect Patterns in Wafer Bin Maps"
Affiliation: Samsung Electronics
Junchul Shin
M.S., 2022, "Open Set Recognition of Wafer Bin Map Defect Patterns"
Affiliation: ClassOn
Hyeonwoo Kim
M.S., 2022, "Weakly Supervised Semantic Segmentation for Classifying Wafer Chip-Level Defect Types"
Affiliation: Upstage
Hunsung Cho
M.S., 2023, "Prediction of Highly Imbalanced Semiconductor Chip-Level Defects in Module Tests Using Multimodal Fusion and Logit Adjustment"
Affiliation: SK Hynix
Hyeonwoo Kim
M.S., 2023, "Few-Shot Classification of Wafer Bin Maps Using Transfer Learning and Ensemble Learning"
Affiliation: Samsung Electronics
Jeongman Choi
M.S., 2023, "Classification and Out-of-Distribution Detection for Wafer Bin Maps"
Affiliation: Samsung Electronics
Taemin Park
M.S., 2024, "CDRA: Class Distribution-Based Re-Balancing Algorithm for Class-Imbalanced Semi-Supervised Learning"
Affiliation: Ph.D. student in iStat Lab
Jaeyeong Lee
M.S., 2024, "Knowledge-Assisted Multi-Graph Structure Learning for Multivariate Time-Series Anomaly Detection in Multi-Stage Industrial Processes"
Affiliation: Ph.D. student in iStat Lab
Sanha Chang
M.S., 2026, "Robust Vessel Trajectory Prediction Under Long Missing Gaps"
Affiliation: Alsemy
Seungjun Choi
M.S., 2026, "Toward Uniformly Flat Minima for Domain Generalization"
Affiliation: Ph.D. student in iStat Lab