Decision Boundary Feature Extraction for Equalizers. - Chulhee Lee; Jinwook Go; Heeyoung Kim (IC-AI, 2002)

Rapid Hybrid Interpolation for Color Filter Array CCD. - Seongduk Cho; Heeyoung Kim; Chulhee Lee (CISST, 2003)

Fast Implementation of 3D SPIHT for Real-Time Video Compresison. - Heeyoung Kim; Seongduk Cho; Chulhee Lee (CISST, 2003)

Fast implementation of 3-D SPIHT using tree information matrix. - Heeyoung Kim; Jihwan Choe; Chulhee Lee (IGARSS, 2003)

Personality design of sociable robots by control of gesture design factors. - Heeyoung Kim; Sonya S. Kwak; Myungsuk Kim (RO-MAN, 2008)

Spatiotemporal Event Detection in Mobility Network. - S. Tom Au; Rong Duan; Heeyoung Kim; Guangqin Ma (ICDM, 2010)

Multilevel vorticity confinement for water turbulence simulation. - Taekwon Jang; Heeyoung Kim; Jinhyuk Bae; Jaewoo Seo; Junyong Noh (Vis. Comput., 2010)

Optimal sampling and curve interpolation via wavelets. - Heeyoung Kim; Xiaoming Huo (Appl. Math. Lett., 2013)

Dependence maps, a dimensionality reduction with dependence distance for high-dimensional data. - Kichun Lee 001; Alexander G. Gray; Heeyoung Kim (Data Min. Knowl. Discov., 2013)

A single interval based classifier. - Heeyoung Kim; Xiaoming Huo; Jianjun Shi 001 (Ann. Oper. Res., 2014)

A Lipschitz Regularity-Based Statistical Model With Applications in Coordinate Metrology. - Heeyoung Kim; Xiaoming Huo; Meghan Shilling; Hy D. Tran (IEEE Trans Autom. Sci. Eng., 2014)

Looking back on the current day: interruptibility prediction using daily behavioral features. - Minsoo Choy; Daehoon Kim; Jae-Gil Lee 001; Heeyoung Kim; Hiroshi Motoda (UbiComp, 2016)

Bayesian Nonparametric Collaborative Topic Poisson Factorization for Electronic Health Records-Based Phenotyping. - Wonsung Lee; Youngmin Lee; Heeyoung Kim; Il-Chul Moon (IJCAI, 2016)

Ordinal Classification of Imbalanced Data with Application in Emergency and Disaster Information Services. - Sungil Kim; Heeyoung Kim; Younghwan Namkoong (IEEE Intell. Syst., 2016)

A Multivariate Loss Function Approach to Robust Design of Systems with Multiple Performance Characteristics. - Woojin Soh; Heeyoung Kim; Bong-Jin Yum (Qual. Reliab. Eng. Int., 2016)

Detection of PVC by using a wavelet-based statistical ECG monitoring procedure. - Yonghan Jung; Heeyoung Kim (Biomed. Signal Process. Control., 2017)

Incorporation of engineering knowledge into the modeling process: a local approach. - Heeyoung Kim; Justin T. Vastola; Sungil Kim; Jye-Chyi Lu; Martha A. Grover (Int. J. Prod. Res., 2017)

TrailSense: A Crowdsensing System for Detecting Risky Mountain Trail Segments with Walking Pattern Analysis. - Keunseo Kim; Hengameh Zabihi; Heeyoung Kim; Uichin Lee (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

Early detection of vessel delays using combined historical and real-time information. - Sungil Kim; Heeyoung Kim; Yongro Park (J. Oper. Res. Soc., 2017)

Hierarchical Spatially Varying Coefficient Process Model. - Heeyoung Kim; Jaehwan Lee (Technometrics, 2017)

Achievable Rate Evaluation by System Level Simulation for mm Wave Based Backhaul Network Adopting in-Band Full-Duplex. - Seongbae Han; Jaemin Jung; Heeyoung Kim; Seokki Kim; Seungkwon Baek; Sooyong Choi (ICUFN, 2018)

Initial Beam Selection Scheme Using Channel Correlation Matrix in mmWave Massive MIMO Systems. - Jaemin Jung; Heeyoung Kim; Seongbae Han; Young Rok Jang; Seokki Kim; Seungkwon Baek; Sooyong Choi (ICUFN, 2018)

Low Complexity Beam Searching Algorithm Using Asymptotic Property of Massive MIMO Systems. - Heeyoung Kim; Jaemin Jung; Seongbae Han; Seokki Kim; Seungkwon Baek; Sooyong Choi (ICUFN, 2018)

Application of kernel principal component analysis to multi-characteristic parameter design problems. - Woojin Soh; Heeyoung Kim; Bong-Jin Yum (Ann. Oper. Res., 2018)

TRAILSENSE: Crowdsensing Risky Mountain Trail Segments. - Keunseo Kim; Hengameh Zabihi; Heeyoung Kim; Uichin Lee (GetMobile Mob. Comput. Commun., 2018)

Ladder Capsule Network. - Taewon Jeong; Youngmin Lee; Heeyoung Kim (ICML, 2019)

OOD-MAML: Meta-Learning for Few-Shot Out-of-Distribution Detection and Classification. - Taewon Jeong; Heeyoung Kim (NeurIPS, 2020)

A Bayesian Nonparametric Mixture Measurement Error Model With Application to Spatial Density Estimation Using Mobile Positioning Data With Multi-Accuracy and Multi-Coverage. - Youngmin Lee; Taewon Jeong; Heeyoung Kim (Technometrics, 2020)

Bayesian Nonparametric Joint Mixture Model for Clustering Spatially Correlated Time Series. - Youngmin Lee; Heeyoung Kim (Technometrics, 2020)

Fault Classification in High-Dimensional Complex Processes Using Semi-Supervised Deep Convolutional Generative Models. - Taeyoung Ko; Heeyoung Kim (IEEE Trans. Ind. Informatics, 2020)

Objective Bound Conditional Gaussian Process for Bayesian Optimization. - Taewon Jeong; Heeyoung Kim (ICML, 2021)

Locally Most Powerful Bayesian Test for Out-of-Distribution Detection using Deep Generative Models. - Keunseo Kim; Juncheol Shin; Heeyoung Kim (NeurIPS, 2021)

ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning. - Hyuck Lee; Seungjae Shin; Heeyoung Kim (NeurIPS, 2021)

Toward Data-Driven Digital Therapeutics Analytics: Literature Review and Research Directions. - Uichin Lee; Gyuwon Jung; Eun-Yeol Ma; Jinsan Kim; Heepyung Kim; Hyunsoo Lee; Jumabek Alikhanov; Youngtae Noh; Heeyoung Kim (CoRR, 2022)

Inverse-Reference Priors for Fisher Regularization of Bayesian Neural Networks. - Keunseo Kim; Eun-Yeol Ma; Jeongman Choi; Heeyoung Kim (AAAI, 2023)

A study on the progress and future directions for MyData in South Korea. - Jongmo Hwang; Jungsun Oh; Heeyoung Kim (BCD, 2023)

Causal Analytic Process for Mobile Health Data. - Gyuwon Jung; Sangjun Park; Uichin Lee; Eun-Yeol Ma; Heeyoung Kim (BigComp, 2023)

Data-driven Digital Therapeutics Analytics. - Uichin Lee; Gyuwon Jung; Sangjun Park; Eun-Yeol Ma; Heeyoung Kim; Yonggeon Lee; Youngtae Noh (BigComp, 2023)

Investigating Causality in Mobile Health Data through Deep Learning Models. - Eun-Yeol Ma; Heeyoung Kim; Uichin Lee (BigComp, 2023)

Toward Data-Driven Digital Therapeutics Analytics: Literature Review and Research Directions. - Uichin Lee; Gyuwon Jung; Eun-Yeol Ma; Jinsan Kim; Heepyung Kim; Jumabek Alikhanov; Youngtae Noh; Heeyoung Kim (IEEE CAA J. Autom. Sinica, 2023)

Label-Noise Robust Deep Generative Model for Semi-Supervised Learning. - Heegeon Yoon; Heeyoung Kim (Technometrics, 2023)

Deep embedding kernel mixture networks for conditional anomaly detection in high-dimensional data. - Hyojoong Kim; Heeyoung Kim (Int. J. Prod. Res., 2023)

Machine Learning for Industry 4.0 [From the Guest Editors]. - Mengchu Zhou; Yan Qiao; Bin Liu; Birgit Vogel-Heuser; Heeyoung Kim (IEEE Robotics Autom. Mag., 2023)

CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning. - Hyuck Lee; Heeyoung Kim (CVPR, 2024)

Rebalancing Using Estimated Class Distribution for Imbalanced Semi-supervised Learning Under Class Distribution Mismatch. - Taemin Park; Hyuck Lee; Heeyoung Kim (ECCV (22), 2024)

Simultaneous Deep Clustering and Feature Selection via K-concrete Autoencoder (Extended abstract). - Woojin Doo; Heeyoung Kim (ICDE, 2024)

Uncertainty Estimation by Density Aware Evidential Deep Learning. - Taeseong Yoon; Heeyoung Kim (ICML, 2024)

Spatially-correlated time series clustering using location-dependent Dirichlet process mixture model. - Junsub Jung; Sungil Kim; Heeyoung Kim (Stat. Anal. Data Min., 2024)

Simultaneous Deep Clustering and Feature Selection via K-Concrete Autoencoder. - Woojin Doo; Heeyoung Kim (IEEE Trans. Knowl. Data Eng., 2024)

Deep Latent Factor Model for Spatio-Temporal Forecasting. - Wonmo Koo; Eun-Yeol Ma; Heeyoung Kim (Technometrics, 2024)

Tutorial on Matching-based Causal Analysis of Human Behaviors Using Smartphone Sensor Data. - Gyuwon Jung; Sangjun Park; Eun-Yeol Ma; Heeyoung Kim; Uichin Lee (ACM Comput. Surv., 2024)

Multi-task optimization with Bayesian neural network surrogates for parameter estimation of a simulation model. - Hyungjin Kim; Chuljin Park; Heeyoung Kim (Comput. Stat. Data Anal., 2025)