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ORCIDHeeyoung Kim
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2020 – today
- 2025
[j26]Hyungjin Kim, Chuljin Park
, Heeyoung Kim:
Multi-task optimization with Bayesian neural network surrogates for parameter estimation of a simulation model. Comput. Stat. Data Anal. 204: 108097 (2025)- 2024
- [j25]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): 236:1-236:33 (2024) - [j24]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) - [j23]Wonmo Koo, Eun-Yeol Ma, Heeyoung Kim:
Deep Latent Factor Model for Spatio-Temporal Forecasting. Technometrics 66(3): 470-482 (2024) - [j22]Woojin Doo, Heeyoung Kim:
Simultaneous Deep Clustering and Feature Selection via K-Concrete Autoencoder. IEEE Trans. Knowl. Data Eng. 36(6): 2629-2642 (2024) - [c25]Hyuck Lee, Heeyoung Kim:
CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning. CVPR 2024: 23891-23900 - [c24]Taemin Park, Hyuck Lee, Heeyoung Kim:
Rebalancing Using Estimated Class Distribution for Imbalanced Semi-supervised Learning Under Class Distribution Mismatch. ECCV (22) 2024: 388-404 - [c23]Woojin Doo, Heeyoung Kim:
Simultaneous Deep Clustering and Feature Selection via K-concrete Autoencoder (Extended abstract). ICDE 2024: 5749-5750 - [c22]Taeseong Yoon, Heeyoung Kim:
Uncertainty Estimation by Density Aware Evidential Deep Learning. ICML 2024 - [i4]Hyuck Lee, Heeyoung Kim:
CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning. CoRR abs/2403.10391 (2024) - [i3]Taeseong Yoon, Heeyoung Kim:
Uncertainty Estimation by Density Aware Evidential Deep Learning. CoRR abs/2409.08754 (2024) - 2023
- [j21]Uichin Lee, Gyuwon Jung, Eun-Yeol 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): 42-66 (2023) - [j20]Hyojoong Kim, Heeyoung Kim:
Deep embedding kernel mixture networks for conditional anomaly detection in high-dimensional data. Int. J. Prod. Res. 61(4): 1101-1113 (2023) - [j19]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): 8-9 (2023) - [j18]Heegeon Yoon, Heeyoung Kim:
Label-Noise Robust Deep Generative Model for Semi-Supervised Learning. Technometrics 65(1): 83-95 (2023) - [c21]Keunseo Kim, Eun-Yeol Ma, Jeongman Choi, Heeyoung Kim:
Inverse-Reference Priors for Fisher Regularization of Bayesian Neural Networks. AAAI 2023: 8264-8272 - [c20]Jongmo Hwang, Jungsun Oh, Heeyoung Kim:
A study on the progress and future directions for MyData in South Korea. BCD 2023: 49-51 - [c19]Gyuwon Jung, Sangjun Park, Uichin Lee, Eun-Yeol Ma, Heeyoung Kim:
Causal Analytic Process for Mobile Health Data. BigComp 2023: 373-374 - [c18]Eun-Yeol Ma, Heeyoung Kim, Uichin Lee:
Investigating Causality in Mobile Health Data through Deep Learning Models. BigComp 2023: 375-377 - [c17]Uichin Lee, Gyuwon Jung, Sangjun Park, Eun-Yeol Ma, Heeyoung Kim, Yonggeon Lee, Youngtae Noh:
Data-driven Digital Therapeutics Analytics. BigComp 2023: 386-388 - 2022
- [i2]Uichin Lee, Gyuwon Jung, Eun-Yeol 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 abs/2205.01851 (2022) - 2021
- [c16]Taewon Jeong, Heeyoung Kim:
Objective Bound Conditional Gaussian Process for Bayesian Optimization. ICML 2021: 4819-4828 - [c15]Hyuck Lee, Seungjae Shin, Heeyoung Kim:
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning. NeurIPS 2021: 7082-7094 - [c14]Keunseo Kim, Juncheol Shin, Heeyoung Kim:
Locally Most Powerful Bayesian Test for Out-of-Distribution Detection using Deep Generative Models. NeurIPS 2021: 14913-14924 - [i1]Hyuck Lee, Seungjae Shin, Heeyoung Kim:
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning. CoRR abs/2110.10368 (2021) - 2020
- [j17]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): 173-183 (2020) - [j16]Youngmin Lee, Heeyoung Kim:
Bayesian Nonparametric Joint Mixture Model for Clustering Spatially Correlated Time Series. Technometrics 62(3): 313-329 (2020) - [j15]Taeyoung Ko, Heeyoung Kim:
Fault Classification in High-Dimensional Complex Processes Using Semi-Supervised Deep Convolutional Generative Models. IEEE Trans. Ind. Informatics 16(4): 2868-2877 (2020) - [c13]Taewon Jeong, Heeyoung Kim:
OOD-MAML: Meta-Learning for Few-Shot Out-of-Distribution Detection and Classification. NeurIPS 2020
2010 – 2019
- 2019
- [c12]Taewon Jeong, Youngmin Lee, Heeyoung Kim:
Ladder Capsule Network. ICML 2019: 3071-3079 - 2018
- [j14]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): 69-91 (2018) - [j13]Keunseo Kim, Hengameh Zabihi, Heeyoung Kim, Uichin Lee:
TRAILSENSE: Crowdsensing Risky Mountain Trail Segments. GetMobile Mob. Comput. Commun. 22(2): 22-26 (2018) - [c11]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: 589-591 - [c10]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: 607-609 - [c9]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: 744-747 - 2017
- [j12]Yonghan Jung, Heeyoung Kim:
Detection of PVC by using a wavelet-based statistical ECG monitoring procedure. Biomed. Signal Process. Control. 36: 176-182 (2017) - [j11]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): 5865-5880 (2017) - [j10]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): 65:1-65:31 (2017) - [j9]Sungil Kim, Heeyoung Kim, Yongro Park:
Early detection of vessel delays using combined historical and real-time information. J. Oper. Res. Soc. 68(2): 182-191 (2017) - [j8]Heeyoung Kim, Jaehwan Lee:
Hierarchical Spatially Varying Coefficient Process Model. Technometrics 59(4): 521-527 (2017) - 2016
- [j7]Sungil Kim, Heeyoung Kim, Younghwan Namkoong:
Ordinal Classification of Imbalanced Data with Application in Emergency and Disaster Information Services. IEEE Intell. Syst. 31(5): 50-56 (2016) - [j6]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): 2685-2700 (2016) - [c8]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: 1004-1015 - [c7]Wonsung Lee, Youngmin Lee, Heeyoung Kim, Il-Chul Moon:
Bayesian Nonparametric Collaborative Topic Poisson Factorization for Electronic Health Records-Based Phenotyping. IJCAI 2016: 2544-2552 - 2014
- [j5]Heeyoung Kim, Xiaoming Huo, Jianjun Shi:
A single interval based classifier. Ann. Oper. Res. 216(1): 307-325 (2014) - [j4]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): 327-337 (2014) - 2013
- [j3]Heeyoung Kim, Xiaoming Huo:
Optimal sampling and curve interpolation via wavelets. Appl. Math. Lett. 26(7): 774-779 (2013) - [j2]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): 512-532 (2013) - 2010
- [j1]Taekwon Jang, Heeyoung Kim, Jinhyuk Bae, Jaewoo Seo, Junyong Noh:
Multilevel vorticity confinement for water turbulence simulation. Vis. Comput. 26(6-8): 873-881 (2010) - [c6]S. Tom Au, Rong Duan, Heeyoung Kim, Guangqin Ma:
Spatiotemporal Event Detection in Mobility Network. ICDM 2010: 28-37
2000 – 2009
- 2008
- [c5]Heeyoung Kim, Sonya S. Kwak, Myungsuk Kim:
Personality design of sociable robots by control of gesture design factors. RO-MAN 2008: 494-499 - 2003
- [c4]Heeyoung Kim, Seongduk Cho, Chulhee Lee:
Fast Implementation of 3D SPIHT for Real-Time Video Compresison. CISST 2003: 384-388 - [c3]Seongduk Cho, Heeyoung Kim, Chulhee Lee:
Rapid Hybrid Interpolation for Color Filter Array CCD. CISST 2003: 463-466 - [c2]Heeyoung Kim, Jihwan Choe, Chulhee Lee:
Fast implementation of 3-D SPIHT using tree information matrix. IGARSS 2003: 3586-3588 - 2002
- [c1]Chulhee Lee, Jinwook Go, Heeyoung Kim:
Decision Boundary Feature Extraction for Equalizers. IC-AI 2002: 1047-1052
Coauthor Index
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last updated on 2025-01-20 23:00 CET by the dblp team
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