2015
Woojin Soh
Ph.D., 2015
Development and Comparison of Parameter Design Methods for Multiple Performance Characteristics
Affiliation
NVIDIA
Alumni
Ph.D.
2020
Youngmin Lee
Ph.D., 2020
Bayesian Nonparametric Models for Spatial Data Analysis
Affiliation
Amazon Web Services (AWS)
2021
Taewon Jeong
Ph.D., 2021
Machine Learning Methods for Black-Box Optimization and Image Classification
Affiliation
Samsung Electronics
2022
Hyojoong Kim
Ph.D., 2022
Machine Learning Methods for Contextual Anomaly Detection
Affiliation
Assistant professor, Department of Industrial and Management Engineering, Myongji University
2022
Keunseo Kim
Ph.D., 2022
Deep Learning Methods for Anomaly Detection and Robust Density Estimation
Affiliation
Samsung Advanced Institute of Technology
2022
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)
2022
Woojin Doo
Ph.D., 2022
Simultaneous Clustering and Feature Selection for High-dimensional Data
Affiliation
Samsung Electronics
2024
Hyuck Lee
Ph.D., 2024
Class-Imbalanced Semi-Supervised Learning
Affiliation
KRAFTON AI
2025
Heegeon Yoon
Ph.D., 2025
Deep Learning Models for Robust Training of Incomplete and Imbalanced Data
Affiliation
Samsung Electronics
2025
Eun-Yeol Ma
Ph.D., 2025
Deep Learning Methods for Discovering Causal Factors and Their Applications
Affiliation
Samsung AI Center
2026
Wonmo Koo
Ph.D., 2026
Deep Learning Models for Multivariate Time Series Forecasting and Anomaly Detection
Affiliation
Assistant Professor, Industrial Engineering, Pusan National University
M.S.
2016
Jaehwan Lee
M.S., 2016
Hierarchical Spatially Varying Coefficient Process Models with Application to Housing Market Analysis
Affiliation
SK Telecom
2016
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
2016
Hyojoong Kim
M.S., 2016
Functional Logistic Regression with Fused Lasso Penalty
Affiliation
Ph.D. student in iStat Lab
2016
Jinho Kim
M.S., 2016
Detection and Clustering of Mixed-Type Defect Patterns in Wafer Bin Maps
Affiliation
SK Hynix
2016
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
2017
Jihoon Chung
M.S., 2017
Crime Risk Maps : Multivariate Analysis of Spatial Crime Data
Affiliation
Assistant professor, Department of Industrial Engineering, Hanyang University
2017
Vinnam Kim
M.S., 2017
Spatio-Temporal Autoregressive Models of Monthly Air Passenger Flows
Affiliation
Qualcomm
2018
Kiryong Kyeong
M.S., 2018
Classification of Mixed-Type Defects Patterns in Wafer Bin Maps Using Convolutional Neural Networks
Affiliation
NCSoft
2018
Woojin Doo
M.S., 2018
Modeling the Probability of A Batter/Pitcher Matchup Dvent : A Bayesian Approach
Affiliation
Ph.D. student in iStat Lab
2019
Taeyoung Ko
M.S., 2019
Fault Diagnosis for High-Dimensional Complex Process Using Semi-Dupervised Deep Convolutional Generative Models
Affiliation
NICE
2019
Jeonghyun Choi
M.S., 2019
Improving Baseball Pitch Type Classification Through Clustering of Pitchers
Affiliation
TmaxSoft
2019
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
2019
Wonmo Koo
M.S., 2019
Bayesian Nonparametric Latent Class Model for Longitudinal Data
Affiliation
Ph.D. student in iStat Lab
2020
Jongwoo Ko
M.S., 2020
Deep Gaussian Process Models for Integrating Multifidelity Experiments Having Non-stationary Relationship
Affiliation
Graduate School of AI, KAIST
2020
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
2020
Yunseung Hyun
M.S., 2020
Memory-Augmented Convolutional Neural Networks with Triplet Loss for Imbalanced Wafer Defect Pattern Classification
Affiliation
2020
Jonghyun Hwang
M.S., 2020
Variational Deep Clustering of Wafer Map Patterns
Affiliation
Samsung Electronics
2021
Sumin Park
M.S., 2021
A Bayesian Deep Learning Method for Predicting Highly Imbalanced Package Test Results
Affiliation
SK Hynix
2021
Sumin Kim
M.S., 2021
Noisy Label Correction for Classification of Wafer Bin Maps with Mixed-Type Defect Patterns
Affiliation
Hyundai Card
2021
Junsub Jung
M.S., 2021
Location Dependent Dirichlet Process Mixture Model for Clustering Spatially Correlated Time Series
Affiliation
Ph.D. student in iStat Lab
2022
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
2022
Junchul Shin
M.S., 2022
Open Set Recognition of Wafer Bin Map Defect Patterns
Affiliation
ClassOn
2022
Hyeonwoo Kim
M.S., 2022
Weakly Supervised Semantic Segmentation for Classifying Wafer Chip-Level Defect Types
Affiliation
Upstage
2023
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
2023
Hyeonwoo Kim
M.S., 2023
Few-Shot Classification of Wafer Bin Maps Using Transfer Learning and Ensemble Learning
Affiliation
Samsung Electronics
2023
Jeongman Choi
M.S., 2023
Classification and Out-of-Distribution Detection for Wafer Bin Maps
Affiliation
Samsung Electronics
2024
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
2024
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
2026
Sanha Chang
M.S., 2026
Robust Vessel Trajectory Prediction Under Long Missing Gaps
Affiliation
Alsemy
2026
Seungjun Choi
M.S., 2026
Toward Uniformly Flat Minima for Domain Generalization
Affiliation
Ph.D. student in iStat Lab