Heeyoung Kim

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 39

Top Topics

Bayesian Nonparametric

Dirichlet Process

Spatially Correlated

Feature Selection

Top Venues

Publications

Wonmo Koo, Eun-Yeol Ma, Heeyoung Kim
Deep Latent Factor Model for Spatio-Temporal Forecasting. Technometrics 66 (3) (2024)
Hyuck Lee, Heeyoung Kim
CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning. CoRR (2024)
Woojin Doo, Heeyoung Kim
Simultaneous Deep Clustering and Feature Selection via K-concrete Autoencoder (Extended abstract). ICDE (2024)
Junsub Jung, Sungil Kim, Heeyoung Kim
Spatially-correlated time series clustering using location-dependent Dirichlet process mixture model. Stat. Anal. Data Min. 17 (1) (2024)
Gyuwon Jung, Sangjun Park, Eun-Yeol Ma, Heeyoung Kim, Uichin Lee
Tutorial on Matching-based Causal Analysis of Human Behaviors Using Smartphone Sensor Data. ACM Comput. Surv. 56 (9) (2024)
Woojin Doo, Heeyoung Kim
Simultaneous Deep Clustering and Feature Selection via K-Concrete Autoencoder. IEEE Trans. Knowl. Data Eng. 36 (6) (2024)
Gyuwon Jung, Sangjun Park, Uichin Lee, Eun-Yeol Ma, Heeyoung Kim
Causal Analytic Process for Mobile Health Data. BigComp (2023)
Uichin Lee, Gyuwon Jung, Eunyeol Ma, Jinsan Kim, Heepyung Kim, Jumabek Alikhanov, Youngtae Noh, Heeyoung Kim
Toward Data-Driven Digital Therapeutics Analytics: Literature Review and Research Directions. IEEE CAA J. Autom. Sinica 10 (1) (2023)
Eun-Yeol Ma, Heeyoung Kim, Uichin Lee
Investigating Causality in Mobile Health Data through Deep Learning Models. BigComp (2023)
Jongmo Hwang, Jungsun Oh, Heeyoung Kim
A study on the progress and future directions for MyData in South Korea. BCD (2023)
Heegeon Yoon, Heeyoung Kim
Label-Noise Robust Deep Generative Model for Semi-Supervised Learning. Technometrics 65 (1) (2023)
Uichin Lee, Gyuwon Jung, Sangjun Park, Eun-Yeol Ma, Heeyoung Kim, Yonggeon Lee, Youngtae Noh
Data-driven Digital Therapeutics Analytics. BigComp (2023)
Keunseo Kim, Eun-Yeol Ma, Jeongman Choi, Heeyoung Kim
Inverse-Reference Priors for Fisher Regularization of Bayesian Neural Networks. AAAI (2023)
Mengchu Zhou, Yan Qiao, Bin Liu, Birgit Vogel-Heuser, Heeyoung Kim
Machine Learning for Industry 4.0 [From the Guest Editors]. IEEE Robotics Autom. Mag. 30 (2) (2023)
Hyojoong Kim, Heeyoung Kim
Deep embedding kernel mixture networks for conditional anomaly detection in high-dimensional data. Int. J. Prod. Res. 61 (4) (2023)
Uichin Lee, Gyuwon Jung, Eunyeol Ma, Jinsan Kim, Heepyung Kim, Hyunsoo Lee, Jumabek Alikhanov, Youngtae Noh, Heeyoung Kim
Toward Data-Driven Digital Therapeutics Analytics: Literature Review and Research Directions. CoRR (2022)
Taewon Jeong, Heeyoung Kim
Objective Bound Conditional Gaussian Process for Bayesian Optimization. ICML (2021)
Hyuck Lee, Seungjae Shin, Heeyoung Kim
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning. CoRR (2021)
Keunseo Kim, Juncheol Shin, Heeyoung Kim
Locally Most Powerful Bayesian Test for Out-of-Distribution Detection using Deep Generative Models. NeurIPS (2021)
Hyuck Lee, Seungjae Shin, Heeyoung Kim
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning. NeurIPS (2021)
Youngmin Lee, Heeyoung Kim
Bayesian Nonparametric Joint Mixture Model for Clustering Spatially Correlated Time Series. Technometrics 62 (3) (2020)
Taeyoung Ko, Heeyoung Kim
Fault Classification in High-Dimensional Complex Processes Using Semi-Supervised Deep Convolutional Generative Models. IEEE Trans. Ind. Informatics 16 (4) (2020)
Youngmin Lee, Taewon Jeong, Heeyoung Kim
A Bayesian Nonparametric Mixture Measurement Error Model With Application to Spatial Density Estimation Using Mobile Positioning Data With Multi-Accuracy and Multi-Coverage. Technometrics 62 (2) (2020)
Taewon Jeong, Heeyoung Kim
OOD-MAML: Meta-Learning for Few-Shot Out-of-Distribution Detection and Classification. NeurIPS (2020)
Taewon Jeong, Youngmin Lee, Heeyoung Kim
Ladder Capsule Network. ICML (2019)
Woojin Soh, Heeyoung Kim, Bong-Jin Yum
Application of kernel principal component analysis to multi-characteristic parameter design problems. Ann. Oper. Res. 263 (1-2) (2018)
Keunseo Kim, Hengameh Zabihi, Heeyoung Kim, Uichin Lee
TRAILSENSE: Crowdsensing Risky Mountain Trail Segments. GetMobile Mob. Comput. Commun. 22 (2) (2018)
Heeyoung Kim, Jaemin Jung, Seongbae Han, Seokki Kim, Seungkwon Baek, Sooyong Choi
Low Complexity Beam Searching Algorithm Using Asymptotic Property of Massive MIMO Systems. ICUFN (2018)
Seongbae Han, Jaemin Jung, Heeyoung Kim, Seokki Kim, Seungkwon Baek, Sooyong Choi
Achievable Rate Evaluation by System Level Simulation for mm Wave Based Backhaul Network Adopting in-Band Full-Duplex. ICUFN (2018)
Jaemin Jung, Heeyoung Kim, Seongbae Han, Young Rok Jang, Seokki Kim, Seungkwon Baek, Sooyong Choi
Initial Beam Selection Scheme Using Channel Correlation Matrix in mmWave Massive MIMO Systems. ICUFN (2018)
Yonghan Jung, Heeyoung Kim
Detection of PVC by using a wavelet-based statistical ECG monitoring procedure. Biomed. Signal Process. Control. 36 (2017)
Heeyoung Kim, Justin T. Vastola, Sungil Kim, Jye-Chyi Lu, Martha A. Grover
Incorporation of engineering knowledge into the modeling process: a local approach. Int. J. Prod. Res. 55 (20) (2017)
Heeyoung Kim, Jaehwan Lee
Hierarchical Spatially Varying Coefficient Process Model. Technometrics 59 (4) (2017)
Keunseo Kim, Hengameh Zabihi, Heeyoung Kim, Uichin Lee
TrailSense: A Crowdsensing System for Detecting Risky Mountain Trail Segments with Walking Pattern Analysis. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1 (3) (2017)
Sungil Kim, Heeyoung Kim, Yongro Park
Early detection of vessel delays using combined historical and real-time information. J. Oper. Res. Soc. 68 (2) (2017)
Woojin Soh, Heeyoung Kim, Bong-Jin Yum
A Multivariate Loss Function Approach to Robust Design of Systems with Multiple Performance Characteristics. Qual. Reliab. Eng. Int. 32 (8) (2016)
Sungil Kim, Heeyoung Kim, Younghwan Namkoong
Ordinal Classification of Imbalanced Data with Application in Emergency and Disaster Information Services. IEEE Intell. Syst. 31 (5) (2016)
Minsoo Choy, Daehoon Kim, Jae-Gil Lee, Heeyoung Kim, Hiroshi Motoda
Looking back on the current day: interruptibility prediction using daily behavioral features. UbiComp (2016)
Wonsung Lee, Youngmin Lee, Heeyoung Kim, Il-Chul Moon
Bayesian Nonparametric Collaborative Topic Poisson Factorization for Electronic Health Records-Based Phenotyping. IJCAI (2016)
Heeyoung Kim, Xiaoming Huo, Jianjun Shi
A single interval based classifier. Ann. Oper. Res. 216 (1) (2014)
Heeyoung Kim, Xiaoming Huo, Meghan Shilling, Hy D. Tran
A Lipschitz Regularity-Based Statistical Model With Applications in Coordinate Metrology. IEEE Trans Autom. Sci. Eng. 11 (2) (2014)
Kichun Lee, Alexander G. Gray, Heeyoung Kim
Dependence maps, a dimensionality reduction with dependence distance for high-dimensional data. Data Min. Knowl. Discov. 26 (3) (2013)
Heeyoung Kim, Xiaoming Huo
Optimal sampling and curve interpolation via wavelets. Appl. Math. Lett. 26 (7) (2013)
S. Tom Au, Rong Duan, Heeyoung Kim, Guangqin Ma
Spatiotemporal Event Detection in Mobility Network. ICDM (2010)
Taekwon Jang, Heeyoung Kim, Jinhyuk Bae, Jaewoo Seo, Junyong Noh
Multilevel vorticity confinement for water turbulence simulation. Vis. Comput. 26 (6-8) (2010)
Heeyoung Kim, Sonya S. Kwak, Myungsuk Kim
Personality design of sociable robots by control of gesture design factors. RO-MAN (2008)
Heeyoung Kim, Seongduk Cho, Chulhee Lee
Fast Implementation of 3D SPIHT for Real-Time Video Compresison. CISST (2003)
Seongduk Cho, Heeyoung Kim, Chulhee Lee
Rapid Hybrid Interpolation for Color Filter Array CCD. CISST (2003)
Heeyoung Kim, Jihwan Choe, Chulhee Lee
Fast implementation of 3-D SPIHT using tree information matrix. IGARSS (2003)
Chulhee Lee, Jinwook Go, Heeyoung Kim
Decision Boundary Feature Extraction for Equalizers. IC-AI (2002)