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)

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)

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

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

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

CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning - Hyuck Lee; Heeyoung Kim (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024, 2024)

Rebalancing Using Estimated Class Distribution for Imbalanced Semi-supervised Learning Under Class Distribution Mismatch - Taemin Park; Hyuck Lee; Heeyoung Kim (Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXII, 2024)

Simultaneous Deep Clustering and Feature Selection via K-concrete Autoencoder (Extended abstract) - Woojin Doo; Heeyoung Kim (40th IEEE International Conference on Data Engineering, ICDE 2024, Utrecht, The Netherlands, May 13-16, 2024, 2024)

Uncertainty Estimation by Density Aware Evidential Deep Learning - Taeseong Yoon; Heeyoung Kim (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

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

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

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)

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)

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

Inverse-Reference Priors for Fisher Regularization of Bayesian Neural Networks - Keunseo Kim; Eun-Yeol Ma; Jeongman Choi; Heeyoung Kim (Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023, 2023)

A study on the progress and future directions for MyData in South Korea - Jongmo Hwang; Jungsun Oh; Heeyoung Kim (8th IEEE/ACIS International Conference on Big Data, Cloud Computing, and Data Science, BCD 2023, Hochimin City, Vietnam, December 14-16, 2023, 2023)

Causal Analytic Process for Mobile Health Data - Gyuwon Jung; Sangjun Park; Uichin Lee; Eun-Yeol Ma; Heeyoung Kim (IEEE International Conference on Big Data and Smart Computing, BigComp 2023, Jeju, Republic of Korea, February 13-16, 2023, 2023)

Investigating Causality in Mobile Health Data through Deep Learning Models - Eun-Yeol Ma; Heeyoung Kim; Uichin Lee (IEEE International Conference on Big Data and Smart Computing, BigComp 2023, Jeju, Republic of Korea, February 13-16, 2023, 2023)

Data-driven Digital Therapeutics Analytics - Uichin Lee; Gyuwon Jung; Sangjun Park; Eun-Yeol Ma; Heeyoung Kim; Yonggeon Lee; Youngtae Noh (IEEE International Conference on Big Data and Smart Computing, BigComp 2023, Jeju, Republic of Korea, February 13-16, 2023, 2023)

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)

Objective Bound Conditional Gaussian Process for Bayesian Optimization - Taewon Jeong; Heeyoung Kim (Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event, 2021)

ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning - Hyuck Lee; Seungjae Shin; Heeyoung Kim (Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual, 2021)

Locally Most Powerful Bayesian Test for Out-of-Distribution Detection using Deep Generative Models - Keunseo Kim; Juncheol Shin; Heeyoung Kim (Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual, 2021)

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

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)

OOD-MAML: Meta-Learning for Few-Shot Out-of-Distribution Detection and Classification - Taewon Jeong; Heeyoung Kim (Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020)

Ladder Capsule Network - Taewon Jeong; Youngmin Lee; Heeyoung Kim (Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA, 2019)

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)

Low Complexity Beam Searching Algorithm Using Asymptotic Property of Massive MIMO Systems - Heeyoung Kim; Jaemin Jung; Seongbae Han; Seokki Kim; Seungkwon Baek; Sooyong Choi (Tenth International Conference on Ubiquitous and Future Networks, ICUFN 2018, Prague, Czech Republic, July 3-6, 2018, 2018)

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 (Tenth International Conference on Ubiquitous and Future Networks, ICUFN 2018, Prague, Czech Republic, July 3-6, 2018, 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 (Tenth International Conference on Ubiquitous and Future Networks, ICUFN 2018, Prague, Czech Republic, July 3-6, 2018, 2018)

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)

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)

Looking back on the current day: interruptibility prediction using daily behavioral features - Minsoo Choy; Daehoon Kim; Jae-Gil Lee; Heeyoung Kim; Hiroshi Motoda (Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016, Heidelberg, Germany, September 12-16, 2016, 2016)

Bayesian Nonparametric Collaborative Topic Poisson Factorization for Electronic Health Records-Based Phenotyping - Wonsung Lee; Youngmin Lee; Heeyoung Kim; Il-Chul Moon (Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9-15 July 2016, 2016)

A single interval based classifier - Heeyoung Kim; Xiaoming Huo; Jianjun Shi (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)

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; Alexander G. Gray; Heeyoung Kim (Data Min. Knowl. Discov., 2013)

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

Spatiotemporal Event Detection in Mobility Network - S. Tom Au; Rong Duan; Heeyoung Kim; Guangqin Ma (ICDM 2010, The 10th IEEE International Conference on Data Mining, Sydney, Australia, 14-17 December 2010, 2010)

Personality design of sociable robots by control of gesture design factors - Heeyoung Kim; Sonya S. Kwak; Myungsuk Kim (The 17th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2008, Munich, Germany, August 1-3, 2008, 2008)

Fast Implementation of 3D SPIHT for Real-Time Video Compresison - Heeyoung Kim; Seongduk Cho; Chulhee Lee (Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 2, 2003)

Rapid Hybrid Interpolation for Color Filter Array CCD - Seongduk Cho; Heeyoung Kim; Chulhee Lee (Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 2, 2003)

Fast implementation of 3-D SPIHT using tree information matrix - Heeyoung Kim; Jihwan Choe; Chulhee Lee (2003 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2003, Toulouse, France, July 21-15, 2003, 2003)

Decision Boundary Feature Extraction for Equalizers - Chulhee Lee; Jinwook Go; Heeyoung Kim (Proceedings of the International Conference on Artificial Intelligence, IC-AI '02, June 24 - 27, 2002, Las Vegas, Nevada, USA, Volume 3, 2002)