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ORCIDHyunjung Shin
Hyunjung (Helen) Shin
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- affiliation: Max Planck Institute for Informatics, Saarbücken, Germany
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2020 – today
- 2025
[j44]Sunghong Park, Jeongheun Yeon, Dong-Gi Lee, Sang Joon Son, Hyun Goo Woo, Hyunjung Shin:
Prospective domain adaptation for longitudinal data. Knowl. Based Syst. 309: 112879 (2025)- 2024
- [j43]Sunghong Park, Doyoon Kim, Heirim Lee, Changhyung Hong, Sang Joon Son, Hyunwoong Roh, Dokyoon Kim, Yonghyun Nam, Dong-Gi Lee, Hyunjung Shin, Hyun Goo Woo:
Plasma protein-based identification of neuroimage-driven subtypes in mild cognitive impairment via protein-protein interaction aware explainable graph propagational network. Comput. Biol. Medicine 183: 109303 (2024) - [j42]Sunghong Park, Kanghee Park, Hyunjung Shin:
Network based Enterprise Profiling with Semi-Supervised Learning. Expert Syst. Appl. 238(Part C): 121716 (2024) - [j41]Sunghong Park
, Sang Joon Son, Kanghee Park, Yonghyun Nam, Hyunjung Shin:
In-house data adaptation to public data: Multisite MRI harmonization to predict Alzheimer's disease conversion. Expert Syst. Appl. 238(Part E): 122253 (2024) - [j40]Sunghong Park, Myung Jun Kim, Kanghee Park, Hyunjung Shin:
Mutual Domain Adaptation. Pattern Recognit. 145: 109919 (2024) - 2023
- [j39]Yonghyun Nam, Sang-Hyuk Jung, Jae-Seung Yun, Vivek Sriram, Pankhuri Singhal, Marta Byrska-Bishop, Anurag Verma, Hyunjung Shin, Woong-Yang Park, Hong-Hee Won, Dokyoon Kim:
Discovering comorbid diseases using an inter-disease interactivity network based on biobank-scale PheWAS data. Bioinform. 39(1) (2023) - [j38]Jong Ho Jhee, Myung Jun Kim, Myeonggeon Park, Jeongheun Yeon, Hyunjung Shin:
Fast Prediction for Criminal Suspects through Neighbor Mutual Information-Based Latent Network. Int. J. Intell. Syst. 2023: 1-12 (2023) - [j37]Sunghong Park, Changhyung Hong, Dong-Gi Lee, Kanghee Park, Hyunjung Shin:
Prospective classification of Alzheimer's disease conversion from mild cognitive impairment. Neural Networks 164: 335-344 (2023) - [c41]Jaewon Lee, Myung Jun Kim, Hyunjung Shin:
Lazy Node-Dropping Autoencoder. BigComp 2023: 64-68 - [c40]Taehwan Yun, Myung Jun Kim, Hyunjung Shin:
Fast Integration for Multiple Graphs with Neumann Approximation. BigComp 2023: 100-104 - [c39]Jong Ho Jhee, Min-Young Song, Byung Gon Kim, Hyunjung Shin, Soo Youn Lee:
Transformer-Based Gene Scoring Model for Extracting Representative Characteristic of Central Dogma Process to Prioritize Pathogenic Genes Applying Breast Cancer Multi-omics Data. BigComp 2023: 149-154 - [c38]Jong Ho Jhee, Myung Jun Kim, Myunggeon Park, Jeongheun Yeon, Yoonshin Kwak, Hyunjung Shin:
Fast Prediction for Suspect Candidates from Criminal Networks. BigComp 2023: 353-355 - [c37]Jaehyun Kim, Hyunjung Shin:
Prediction of Recurrence Probability of Thyroid Cancer Patients using Similarity Loss based Multi-modal Autoencoder. BigComp 2023: 358-360 - [c36]Jeongheun Yeon, Jong Ho Jhee, Hyunjung Shin:
Latent Inter-relation Augment between Crimes and Criminals using Factorization Machines. BigComp 2023: 361-363 - [c35]Taehwan Yun, Myung Jun Kim, Hyunjung Shin:
Accelerated Graph Integration with Approximation of Combining Parameters. LOD (2) 2023: 163-176 - [c34]Jong Ho Jhee, Jeongheun Yeon, Yoonshin Kwak, Hyunjung Shin:
Multi-scale Heat Kernel Graph Network for Graph Classification. LOD (2) 2023: 270-282 - 2022
- [c33]Bayley Bennett, Hyunjung Shin, Swaminathan Kandaswamy, Evan Orenstein, Edwin Ray:
Clinical Decision Support to Reduce Nephrotoxic Medication-Associated Acute Kidney Injury in Non-Critically Ill Hospitalized Children. AMIA 2022 - [c32]Myungjun Kim, Dong-Gi Lee, Hyunjung Shin:
Semi-supervised network regression with Gaussian process. BigComp 2022: 27-30 - [c31]Dong-Gi Lee, Junhee Cho, Myungjun Kim, Sunghong Park, Hyunjung Shin:
Learning Neural Networks without Lazy Weights. BigComp 2022: 82-87 - [c30]Jong Ho Jhee, Hyunjung Shin:
Graph Neural Networks with Stability and Discernability. BigComp 2022: 108-113 - [c29]Dong-Gi Lee, Myungjun Kim, Hyunjung Shin:
Drug Repositioning with Disease-Drug Clusters from Word Representations. BigComp 2022: 182-189 - [c28]Myeonggeon Park, Sunghong Park, Hyunjung Shin:
Literature Representation using Character Networks based on Sentiment Analysis. BigComp 2022: 190-193 - [c27]Jaehyun Kim, Myungjun Kim, Hyunjung Shin:
Latent Feature Separation and Extraction with Multiple Parallel Encoders for Convolutional Autoencoder. BigComp 2022: 263-266 - [c26]Dong-Gi Lee, Hyunwoong Roh, Myungjun Kim, Na-Rae Kim, Sang Joon Son, Changhyung Hong, Hyunjung Shin:
Brain Volume Prediction from SNP network with Semi-Supervised Regression. BigComp 2022: 360-362 - 2021
- [j36]Sunjoo Bang, Jong Ho Jhee, Hyunjung Shin:
Polypharmacy side-effect prediction with enhanced interpretability based on graph feature attention network. Bioinform. 37(18): 2955-2962 (2021) - [j35]Sunghong Park, Junhee Cho, Kanghee Park, Hyunjung Shin:
Customer sentiment analysis with more sensibility. Eng. Appl. Artif. Intell. 104: 104356 (2021) - 2020
- [j34]Dong-Gi Lee, Myungjun Kim, Sang Joon Son, Changhyung Hong, Hyunjung Shin:
Dementia key gene identification with multi-layered SNP-gene-disease network. Bioinform. 36(Supplement-2): i831-i839 (2020) - [j33]Myungjun Kim, Dong-Gi Lee, Sangkuk Lee, Geun-Ho Lee, Hyunjung Shin:
Inference on historical factions based on multi-layered network of historical figures. Expert Syst. Appl. 161: 113703 (2020) - [j32]Jong Ho Jhee, Sunjoo Bang, Dong-Gi Lee, Hyunjung Shin:
Corrections to "Comorbidity Scoring With Causal Disease Networks". IEEE ACM Trans. Comput. Biol. Bioinform. 17(6): 2196 (2020)
2010 – 2019
- 2019
- [j31]Yonghyun Nam, Jong Ho Jhee, Junhee Cho, Ji-Hyun Lee, Hyunjung Shin:
Disease gene identification based on generic and disease-specific genome networks. Bioinform. 35(11): 1923-1930 (2019) - [j30]Sunjoo Bang, Sangjoon Son, Sooyoung Kim, Hyunjung Shin:
Disease Pathway Cut for Multi-Target drugs. BMC Bioinform. 20(1): 74:1-74:12 (2019) - [j29]Yonghyun Nam, Dong-Gi Lee, Sunjoo Bang, Ju Han Kim, Jae-Hoon Kim, Hyunjung Shin:
The translational network for metabolic disease - from protein interaction to disease co-occurrence. BMC Bioinform. 20(1): 576:1-576:12 (2019) - [j28]Yonghyun Nam, Myungjun Kim, Hang-Seok Chang, Hyunjung Shin:
Drug repurposing with network reinforcement. BMC Bioinform. 20-S(13): 383:1-383:10 (2019) - [j27]Myungjun Kim, Dong-Gi Lee, Hyunjung Shin:
Semi-supervised learning for hierarchically structured networks. Pattern Recognit. 95: 191-200 (2019) - [j26]Jong Ho Jhee, Sunjoo Bang, Dong-Gi Lee, Hyunjung Shin:
Comorbidity Scoring with Causal Disease Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 16(5): 1627-1634 (2019) - 2018
- [j25]Dong-Gi Lee, Sangkuk Lee, Myungjun Kim, Hyunjung Shin:
Historical inference based on semi-supervised learning. Expert Syst. Appl. 106: 121-131 (2018) - 2017
- [j24]Myungjun Kim, Yonghyun Nam, Hyunjung Shin:
An inference method from multi-layered structure of biomedical data. BMC Medical Informatics Decis. Mak. 17(S-1): 52:1-52:10 (2017) - [j23]Dong-Gi Lee, Hyunjung Shin:
Disease causality extraction based on lexical semantics and document-clause frequency from biomedical literature. BMC Medical Informatics Decis. Mak. 17(S-1): 53:1-53:9 (2017) - [j22]Sunghong Park, Dong-Gi Lee, Hyunjung Shin:
Network mirroring for drug repositioning. BMC Medical Informatics Decis. Mak. 17(S-1): 55:1-55:11 (2017) - [j21]Yonghyun Nam, Oak-Sung Choo, Yu-Ri Lee, Yun-Hoon Choung, Hyunjung Shin:
Cascade recurring deep networks for audible range prediction. BMC Medical Informatics Decis. Mak. 17(S-1): 56:1-56:10 (2017) - [j20]Sunjoo Bang, Sangjoon Son, Hyunwoong Roh, Jihye Lee, Sungyun Bae, Kyungwon Lee, Changhyung Hong, Hyunjung Shin:
Quad-phased data mining modeling for dementia diagnosis. BMC Medical Informatics Decis. Mak. 17(S-1): 60:1-60:10 (2017) - [c25]Jihye Lee, Hyoji Ha, Hyunwoo Han, Sungyun Bae, Sangjoon Son, Changhyung Hong, Hyunjung Shin, Kyungwon Lee:
Visual analytics for biomedical cluster subdivision: a design study with psychiatrists. CGI 2017: 17:1-17:6 - [c24]Wenjun Guo, Seungwook Kim, Sangjun Son, Changhyung Hong, Hyunjung Shin, Kyungwon Lee:
Data-driven dementia diagnosis record visualization system. VINCI 2017: 75-76 - 2016
- [j19]Sunjoo Bang, Jae-Hoon Kim, Hyunjung Shin:
Causality modeling for directed disease network. Bioinform. 32(17): 437-444 (2016) - [j18]Yonghyun Nam, Myungjun Kim, Kyungwon Lee, Hyunjung Shin:
CLASH: Complementary Linkage with Anchoring and Scoring for Heterogeneous biomolecular and clinical data. BMC Medical Informatics Decis. Mak. 16(S-3): 72 (2016) - 2015
- [j17]Dokyoon Kim, Je-Gun Joung, Kyung-Ah Sohn, Hyunjung Shin, Yu Rang Park, Marylyn D. Ritchie, Ju Han Kim:
Knowledge boosting: a graph-based integration approach with multi-omics data and genomic knowledge for cancer clinical outcome prediction. J. Am. Medical Informatics Assoc. 22(1): 109-120 (2015) - [j16]Chan-Kyoo Park, Yongwon Seo, Hyunjung Shin:
An optimization approach to resolving circular shareholding in large business groups. J. Oper. Res. Soc. 66(9): 1454-1470 (2015) - 2013
- [j15]Dokyoon Kim, Hyunjung Shin, Je-Gun Joung, Su-Yeon Lee, Ju Han Kim:
Intra-relation reconstruction from inter-relation: miRNA to gene expression. BMC Syst. Biol. 7(S-3): S8 (2013) - [j14]Hyunjung Shin, Tianya Hou, Kanghee Park, Chan-Kyoo Park, Sunghee Choi:
Prediction of movement direction in crude oil prices based on semi-supervised learning. Decis. Support Syst. 55(1): 348-358 (2013) - [j13]Kanghee Park, Hyunjung Shin:
Stock price prediction based on a complex interrelation network of economic factors. Eng. Appl. Artif. Intell. 26(5-6): 1550-1561 (2013) - [j12]Kanghee Park, Amna Ali, Do Kyoon Kim, Yeolwoo An, Minkoo Kim, Hyunjung Shin:
Robust predictive model for evaluating breast cancer survivability. Eng. Appl. Artif. Intell. 26(9): 2194-2205 (2013) - [j11]Inae Choi, Kanghee Park, Hyunjung Shin:
Sharpened graph ensemble for semi-supervised learning. Intell. Data Anal. 17(3): 387-398 (2013) - [j10]Juhyeon Kim, Hyunjung Shin:
Research and applications: Breast cancer survivability prediction using labeled, unlabeled, and pseudo-labeled patient data. J. Am. Medical Informatics Assoc. 20(4): 613-618 (2013) - [c23]Kanghee Park, Hyunjung Shin:
Stock Price Prediction Based on Hierarchical Structure of Financial Networks. ICONIP (2) 2013: 456-464 - [c22]Yonghyun Nam, Hyunjung Shin:
A Hybrid Cancer Prognosis System Based on Semi-Supervised Learning and Decision Trees. ICONIP (2) 2013: 640-648 - 2012
- [j9]Hyunjung Shin, Hayoung Park, Junwoo Lee, Won Chul Jhee:
A scoring model to detect abusive billing patterns in health insurance claims. Expert Syst. Appl. 39(8): 7441-7450 (2012) - [j8]Do Kyoon Kim, Hyunjung Shin, Young Soo Song, Ju Han Kim:
Synergistic effect of different levels of genomic data for cancer clinical outcome prediction. J. Biomed. Informatics 45(6): 1191-1198 (2012) - [c21]Yiwon Hyun, Donghoon Lee, Hyunjung Shin, Myeong-Ho Sohn:
The Effect of Priming of Individualism/Collectivism on the Müller-Lyer Illusion. CogSci 2012 - [c20]Mijung Joo, Hyunmin Kang, Hyunjung Shin, Jaesik Lee:
Differential Effects of the Cultural Orientation Dimensions on Global Precedence. CogSci 2012 - [c19]Bia Kim, Yoonkyoung Lee, Donghoon Lee, Goeun Lee, Hyunjung Shin:
Cultural priming and the scene perception. CogSci 2012 - [c18]Yoonkyoung Lee, Bia Kim, Yiwon Hyun, Cheon Woo Shin, Jaesik Lee, Hyunjung Shin:
The influence of cultural dispositions on the scene perception. CogSci 2012 - [c17]Do Kyoon Kim, Hyunjung Shin, Je-Gun Joung, Su-Yeon Lee, Ju Han Kim:
Intra-relation Reconstruction from Inter-relation: miRNA to Gene Expression. HISB 2012: 141 - 2011
- [j7]Young Soo Song, Chan Hee Park, Hee-Joon Chung, Hyunjung Shin, Jihun Kim, Ju Han Kim:
Semantically enabled and statistically supported biological hypothesis testing with tissue microarray databases. BMC Bioinform. 12(S-1): S51 (2011) - [c16]Eunsook Kim, Hyunjung Shin:
A hybrid cognitive architecture based on the relationship between consciousness, memory and attention. CogSci 2011 - [c15]Eunsook Kim, Hyunjung Shin:
A hybrid cognitive architecture based on the relationship between consciousness, memory and attention. CogSci 2011 - [c14]Irfan Ahmed, Kyung-suk Lhee, Hyunjung Shin, Manpyo Hong:
Fast Content-Based File Type Identification. IFIP Int. Conf. Digital Forensics 2011: 65-75 - 2010
- [j6]Hyunjung Shin, N. Jeremy Hill, Andreas Martin Lisewski, Joon-Sang Park:
Graph sharpening. Expert Syst. Appl. 37(12): 7870-7879 (2010) - [c13]Irfan Ahmed, Kyung-suk Lhee, Hyunjung Shin, Manpyo Hong:
Fast file-type identification. SAC 2010: 1601-1602
2000 – 2009
- 2009
- [j5]Hyunjung Shin, Koji Tsuda, Bernhard Schölkopf:
Protein functional class prediction with a combined graph. Expert Syst. Appl. 36(2): 3284-3292 (2009) - [c12]Irfan Ahmed, Kyung-suk Lhee, Hyunjung Shin, Manpyo Hong:
On Improving the Accuracy and Performance of Content-Based File Type Identification. ACISP 2009: 44-59 - [c11]Tianya Hou, Hyunjung Shin:
Influence of Noisy and High-Dimensional Data on Semi-Supervised Learning. DMIN 2009: 267-273 - 2008
- [c10]Umer Khan, Hyunjung Shin, Jongpill Choi, Minkoo Kim:
wFDT - Weighted Fuzzy Decision Trees for Prognosis of Breast Cancer Survivability. AusDM 2008: 141-152 - [c9]Inae Choi, Hyunjung Shin:
Semi-supervised Learning with Ensemble Learning and Graph Sharpening. IDEAL 2008: 172-179 - 2007
- [j4]Hyunjung Shin, Andreas Martin Lisewski, Olivier Lichtarge:
Graph sharpening plus graph integration: a synergy that improves protein functional classification. Bioinform. 23(23): 3217-3224 (2007) - [j3]Hyunjung Shin, Sungzoon Cho:
Neighborhood Property-Based Pattern Selection for Support Vector Machines. Neural Comput. 19(3): 816-855 (2007) - [c8]Hyunjung Shin, Andreas Martin Lisewski, Olivier Lichtarge:
Graph-Based Protein Functional Classification. BIOCOMP 2007: 738-744 - 2006
- [j2]Hyunjung Shin, Sungzoon Cho:
Response modeling with support vector machines. Expert Syst. Appl. 30(4): 746-760 (2006) - [c7]Hyunjung Shin, N. Jeremy Hill, Gunnar Rätsch:
Graph Based Semi-supervised Learning with Sharper Edges. ECML 2006: 401-412 - [p1]Hyunjung Shin, Koji Tsuda:
Prediction of Protein Function from Networks. Semi-Supervised Learning 2006: 361-375 - 2005
- [j1]Hyunjung Shin, Sungzoon Cho:
Invariance of neighborhood relation under input space to feature space mapping. Pattern Recognit. Lett. 26(6): 707-718 (2005) - [c6]Koji Tsuda, Hyunjung Shin, Bernhard Schölkopf:
Fast protein classification with multiple networks. ECCB/JBI 2005: 65 - 2003
- [c5]Hyunjung Shin, Sungzoon Cho:
Fast Pattern Selection Algorithm for Support Vector Classifiers: Time Complexity Analysis. IDEAL 2003: 1008-1015 - [c4]Hyunjung Shin, Sungzoon Cho:
How many neighbors to consider in pattern pre-selection for support vector classifiers? IJCNN 2003: 565-570 - [c3]Hyunjung Shin, Sungzoon Cho:
Fast Pattern Selection for Support Vector Classifiers. PAKDD 2003: 376-387 - 2002
- [c2]Hyunjung Shin, Sungzoon Cho:
Pattern Selection for Support Vector Classifiers. IDEAL 2002: 469-474 - 2000
- [c1]Hyunjung Shin, Hyoungjoo Lee, Sungzoon Cho:
Observational Learning with Modular Networks. IDEAL 2000: 126-132
Coauthor Index
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