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ORCIDYejin Kim
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2023
[j27]Junhyun Cho, Donghee Yang, Yejin Kim, Sungchul Lee:
An operator splitting method for multi-asset options with the Feynman-Kac formula. Comput. Math. Appl. 135: 93-101 (2023)- [j26]Yaobin Ling, Pulakesh Upadhyaya, Luyao Chen, Xiaoqian Jiang, Yejin Kim:
Emulate randomized clinical trials using heterogeneous treatment effect estimation for personalized treatments: Methodology review and benchmark. J. Biomed. Informatics 137: 104256 (2023) - 2022
- [j25]Junhyun Cho
, Yejin Kim, Sungchul Lee:
An accurate and stable numerical method for option hedge parameters. Appl. Math. Comput. 430: 127276 (2022) - [j24]Yan Ding, Xiaoqian Jiang, Yejin Kim:
Relational graph convolutional networks for predicting blood-brain barrier penetration of drug molecules. Bioinform. 38(10): 2826-2831 (2022) - [j23]Wanhyuk Seo, Yejin Kim, Ho Sim, Yungoo Song, Tae-Sub Yun:
Classification of igneous rocks from petrographic thin section images using convolutional neural network. Earth Sci. Informatics 15(2): 1297-1307 (2022) - [j22]Juae Kim, Yejin Kim, Sangwoo Kang:
Weakly labeled data augmentation for social media named entity recognition. Expert Syst. Appl. 209: 118217 (2022) - [j21]Daeun Kang, Jaeseok Moon, Saeyoung Yang, Taesoo Kwon, Yejin Kim:
Physics-Based Simulation of Soft-Body Deformation Using RGB-D Data. Sensors 22(19): 7225 (2022) - [c24]Dongsuk Oh, Yejin Kim, Hodong Lee, H. Howie Huang, Heuiseok Lim:
Don't Judge a Language Model by Its Last Layer: Contrastive Learning with Layer-Wise Attention Pooling. COLING 2022: 4585-4592 - [c23]Yejin Kim, Manri Cheon, Junwoo Lee:
Texture Transfer Attention for Realistic Image Completion. SAI (2) 2022: 340-352 - [i10]Dongsuk Oh, Yejin Kim, Hodong Lee, H. Howie Huang, Heuiseok Lim:
Don't Judge a Language Model by Its Last Layer: Contrastive Learning with Layer-Wise Attention Pooling. CoRR abs/2209.05972 (2022) - 2021
- [j20]Juae Kim, Yejin Kim, Sangwoo Kang, Jungyun Seo:
Adaptive Named Entity Recognition Using Distant Supervision for Contemporary Written Texts. IEEE Access 9: 80405-80414 (2021) - [j19]Yejin Kim, Shuyu Zheng, Jing Tang, W. Jim Zheng, Zhao Li, Xiaoqian Jiang:
Anticancer drug synergy prediction in understudied tissues using transfer learning. J. Am. Medical Informatics Assoc. 28(1): 42-51 (2021) - [j18]Tongtong Huang, Yan Chu, Shayan Shams, Yejin Kim, Ananth V. Annapragada, Devika Subramanian, Ioannis A. Kakadiaris, Assaf Gottlieb, Xiaoqian Jiang:
Population stratification enables modeling effects of reopening policies on mortality and hospitalization rates. J. Biomed. Informatics 119: 103818 (2021) - [j17]Seongmin Baek, Youn-Hee Gil, Yejin Kim:
VR-Based Job Training System Using Tangible Interactions. Sensors 21(20): 6794 (2021) - [c22]Kanglin Hsieh, Xiaoqian Jiang, Yejin Kim, Yu-Chun Hsu:
The Combination of Graph Neuron Network and Multi-Task Learning Model for Cancer Drug Combination Prediction. AMIA 2021 - [c21]Yejin Kim, Yekyung Kim:
Learning Sub-Character level representation for Korean Named Entity Recognition. FLAIRS 2021 - [i9]Yan Ding, Xiaoqian Jiang, Yejin Kim:
Relational graph convolutional networks for predicting blood-brain barrier penetration of drug molecules. CoRR abs/2107.06773 (2021) - [i8]Yaobin Ling, Pulakesh Upadhyaya, Luyao Chen, Xiaoqian Jiang, Yejin Kim:
Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark. CoRR abs/2109.12769 (2021) - [i7]Pulakesh Upadhyaya, Kai Zhang, Can Li, Xiaoqian Jiang, Yejin Kim:
Scalable Causal Structure Learning: New Opportunities in Biomedicine. CoRR abs/2110.07785 (2021) - 2020
- [j16]Wonseok Chae, Yejin Kim:
Text-driven Speech Animation with Emotion Control. KSII Trans. Internet Inf. Syst. 14(8): 3473-3487 (2020) - [j15]Jean Louis Raisaro, Francesco Marino, Juan Ramón Troncoso-Pastoriza, Raphaelle Beau-Lejdstrom, Riccardo Bellazzi, Robert Murphy, Elmer V. Bernstam, Henry Wang, Mauro Bucalo, Yong Chen, Assaf Gottlieb, Arif Ozgun Harmanci, Miran Kim, Yejin Kim, Jeffrey G. Klann, Catherine Klersy, Bradley A. Malin, Marie Méan, Fabian Prasser, Luigia Scudeller, Ali Torkamani, Julien Vaucher, Mamta Puppala, Stephen T. C. Wong, Milana Frenkel-Morgenstern, Hua Xu, Baba Maiyaki Musa, Abdulrazaq G. Habib, Trevor Cohen, Adam B. Wilcox, Hamisu M. Salihu, Heidi Sofia, Xiaoqian Jiang, Jean-Pierre Hubaux:
SCOR: A secure international informatics infrastructure to investigate COVID-19. J. Am. Medical Informatics Assoc. 27(11): 1721-1726 (2020) - [j14]Yejin Kim, Samden D. Lhatoo, Guo-Qiang Zhang, Luyao Chen, Xiaoqian Jiang:
Temporal phenotyping for transitional disease progress: An application to epilepsy and Alzheimer's disease. J. Biomed. Informatics 107: 103462 (2020) - [j13]Juan C. Mier, Yejin Kim, Xiaoqian Jiang, Guo-Qiang Zhang, Samden D. Lhatoo:
Categorisation of EEG suppression using enhanced feature extraction for SUDEP risk assessment. BMC Medical Informatics Decis. Mak. 20-S(12): 326 (2020) - [j12]Bishal Lamichhane, Yejin Kim, Santiago Segarra, Guoqiang Zhang, Samden D. Lhatoo, Jaison Hampson, Xiaoqian Jiang:
Automated detection of activity onset after postictal generalized EEG suppression. BMC Medical Informatics Decis. Mak. 20-S(12): 327 (2020) - [j11]Yejin Kim, Xiaoqian Jiang, Samden D. Lhatoo, Guoqiang Zhang, Shiqiang Tao, Licong Cui, Xiaojin Li, Robert D. Jolly, Luyao Chen, Michael Phan, Cung Ha, Marijane Detranaltes, Jiajie Zhang:
A community effort for automatic detection of postictal generalized EEG suppression in epilepsy. BMC Medical Informatics Decis. Mak. 20-S(12): 328 (2020) - [j10]Cong Zhu, Yejin Kim, Xiaoqian Jiang, Samden D. Lhatoo, Hampson Jaison, Guo-Qiang Zhang:
A lightweight convolutional neural network for assessing an EEG risk marker for sudden unexpected death in epilepsy. BMC Medical Informatics Decis. Mak. 20-S(12): 329 (2020) - [j9]Carroll Vance, Yejin Kim, Guo-Qiang Zhang, Samden D. Lhatoo, Shiqiang Tao, Licong Cui, Xiaojin Li, Xiaoqian Jiang:
Learning to detect the onset of slow activity after a generalized tonic-clonic seizure. BMC Medical Informatics Decis. Mak. 20-S(12): 330 (2020) - [c20]Yejin Kim, Juae Kim, Jungyun Seo:
Noise Improves Noise: Verification of Pre-Training Effect with Weakly Labeled Data on Social Media NER. BigComp 2020: 225-228 - [c19]Yejin Kim, Sungho Yun, Seungryong Cho:
Mask-guided diffusion optical tomography image reconstruction for breast imaging. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113171A - [i6]Kanglin Hsieh, Yinyin Wang, Luyao Chen, Zhongming Zhao, Sean Savitz, Xiaoqian Jiang, Jing Tang, Yejin Kim:
Drug Repurposing for COVID-19 using Graph Neural Network with Genetic, Mechanistic, and Epidemiological Validation. CoRR abs/2009.10931 (2020) - [i5]Yejin Kim, Manri Cheon, Junwoo Lee:
Texture Transform Attention for Realistic Image Inpainting. CoRR abs/2012.04242 (2020)
2010 – 2019
- 2019
- [j8]Mankyu Sung, Yejin Kim:
GPU-based Fast Motion Synthesis of Large Crowds Using Adaptive Multi-Joint Models. Symmetry 11(3): 422 (2019) - [c18]Yejin Kim, Xiaoqian Jiang, Luyao Chen, Xiaojin Li, Licong Cui:
Discriminative Sleep Patterns of Alzheimer's Disease via Tensor Factorization. AMIA 2019 - [c17]Yejin Kim, Kwangseob Kim, Chanyoung Park, Hwanjo Yu:
Sequential and Diverse Recommendation with Long Tail. IJCAI 2019: 2740-2746 - [c16]Sun Jung Lee, Sung Hye Yu, Yejin Kim, Jun Hyuk Hong, Choung-Soo Kim, Seong Il Seo, Chang Wook Jeong, Seok-Soo Byun, Byung Ha Chung, Ji Youl Lee, In Young Choi:
Development of Integrated Data and Prediction System Platform for the Localized Prostate Cancer. MedInfo 2019: 1506-1507 - [i4]Yejin Kim, Xiaoqian Jiang, Luyao Chen, Xiaojin Li, Licong Cui:
Discriminative Sleep Patterns of Alzheimer's Disease via Tensor Factorization. CoRR abs/1905.05827 (2019) - [i3]Xiaoqian Jiang, Samden D. Lhatoo, Guo-Qiang Zhang, Luyao Chen, Yejin Kim:
Combining Representation Learning with Tensor Factorization for Risk Factor Analysis - an application to Epilepsy and Alzheimer's disease. CoRR abs/1905.05830 (2019) - [i2]Rui Zhang, Luca Giancardo, Danilo A. Peña, Yejin Kim, Hanghang Tong, Xiaoqian Jiang:
From Brain Imaging to Graph Analysis: a study on ADNI's patient cohort. CoRR abs/1905.05861 (2019) - 2018
- [j7]Sang-Woo Seo, Myunggyu Kim, Yejin Kim:
Optical and Acoustic Sensor-Based 3D Ball Motion Estimation for Ball Sport Simulators. Sensors 18(5): 1323 (2018) - [j6]Sungjin Hong, Yejin Kim:
Dynamic Pose Estimation Using Multiple RGB-D Cameras. Sensors 18(11): 3865 (2018) - [c15]Kyeong Seon Kim, Dohyun Kwon, Yejin Kim, Junhui Kim, Joongheon Kim:
Self-Adaptive Machine Learning Operating Systems for Security Applications. ICASSP 2018: 6946-6950 - [c14]Sang-Woo Seo, Myunggyu Kim, Yejin Kim:
Efficient Sound-source Localization Method based on Direction Estimation using 2D Microphone Array. ICIT 2018: 301-306 - [c13]Sunjun Hwang, Kyeong Seon Kim, Yejin Kim, Junhui Kim, Miji Park, SooHyun Park, Joongheon Kim:
High-dimensional statistical supervised learning for extracting information in steganography. ICOIN 2018: 897-898 - [c12]Sungjin Hong, Myung-Gyu Kim, Yejin Kim:
Kick Recognition System Using Dual RGB-D Cameras. ICVIP 2018: 12-16 - 2017
- [j5]Yejin Kim:
Dance motion capture and composition using multiple RGB and depth sensors. Int. J. Distributed Sens. Networks 13(2) (2017) - [c11]Jingyun Choi, Yejin Kim, Hun-Sung Kim, In Young Choi, Hwanjo Yu:
Tensor-Factorization-Based Phenotyping using Group Information: Case Study on the Efficacy of Statins. BCB 2017: 516-525 - [c10]Yejin Kim, Jingyun Choi, Yosep Chong, Xiaoqian Jiang, Hwanjo Yu:
DiagTree: Diagnostic Tree for Differential Diagnosis. CIKM 2017: 1179-1188 - [c9]Yejin Kim, Jimeng Sun, Hwanjo Yu, Xiaoqian Jiang:
Federated Tensor Factorization for Computational Phenotyping. KDD 2017: 887-895 - [i1]Yejin Kim, Jimeng Sun, Hwanjo Yu, Xiaoqian Jiang:
Federated Tensor Factorization for Computational Phenotyping. CoRR abs/1704.03141 (2017) - 2016
- [j4]Yejin Kim, Yong Hyun Park, Ji Youl Lee, In Young Choi, Hwanjo Yu:
Discovery of prostate specific antigen pattern to predict castration resistant prostate cancer of androgen deprivation therapy. BMC Medical Informatics Decis. Mak. 16(S-1): 63 (2016) - 2015
- [j3]Yejin Kim, Myunggyu Kim:
Data-Driven Approach for Human Locomotion Generation. Int. J. Image Graph. 15(2): 1540001:1-1540001:19 (2015) - [c8]Yejin Kim, Yong Hyun Park, Ji Youl Lee, In Young Choi, Dong Hyun Kim, Hwanjo Yu:
Discovery of Prostate Specific Antigen Pattern to Predict Castration Resistant Prostate Cancer of Androgen Deprivation Therapy. DTMBIO@CIKM 2015: 13 - 2012
- [j2]Yejin Kim, Michael Neff:
Automating Expressive Locomotion Generation. Trans. Edutainment 7: 48-61 (2012) - [c7]Yejin Kim, Michael Neff:
Component-based Locomotion Composition. Symposium on Computer Animation 2012: 165-173
2000 – 2009
- 2009
- [c6]Michael Neff, Yejin Kim:
Interactive editing of motion style using drives and correlations. Symposium on Computer Animation 2009: 103-112 - 2006
- [c5]Yejin Kim, Hyeon Bae, Kyungmin Poo, Jongrack Kim, Taesup Moon, Sungshin Kim, Changwon Kim:
Soft Sensor Using PNN Model and Rule Base for Wastewater Treatment Plant. ISNN (2) 2006: 1261-1269 - [c4]Hyewon Pyun, Yejin Kim, Wonseok Chae, Hyung Woo Kang, Sung Yong Shin:
An example-based approach for facial expression cloning. SIGGRAPH Courses 2006: 23 - 2005
- [c3]Hyeon Bae, Sungshin Kim, Yejin Kim, Changwon Kim:
Self-generation of Control Rules Using Hierarchical and Nonhierarchical Clustering for Coagulant Control of Water Treatment Plants. Discovery Science 2005: 371-373 - [c2]Hyeon Bae, Sungshin Kim, Yejin Kim:
Design of Fuzzy Controller and Parameter Optimizer for Non-linear System Based on Operator's Knowledge. FSKD (1) 2005: 833-836 - 2003
- [j1]Hyeon Bae, Sungshin Kim, Man Hyung Lee, Yejin Kim, Chang Won Kim:
Knowledge-based unmanned automation and control systems for the SBR wastewater treatment process. Artif. Life Robotics 7(3): 107-111 (2003) - [c1]Hyewon Pyun, Yejin Kim, Wonseok Chae, Hyung Woo Kang, Sung Yong Shin:
An example-based approach for facial expression cloning. Symposium on Computer Animation 2003: 167-176
Coauthor Index
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last updated on 2023-03-25 01:41 CET by the dblp team
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