Journal Publications

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[63] (2022) Hyun Woong Roh, Na-Rae Kim, Dong-gi Lee, Jae-Youn Cheong, Sang Won Seo, Seong Hye Choi, Eun-Joo Kim, Soo Hyun Cho, Byeong C. Kim, Seong Yoon Kim, Eun Young Kim, Jaerak Chang, Sang Yoon Lee, Dukyong Yoon, Jin Wook Choi, Young-Sil An, Hee Young Kang, Hyunjung Shin, Bumhee Park, Sang Joon Son, Chang Hyung Hong. “Baseline Clinical and Biomarker Characteristics of Biobank Innovations for Chronic Cerebrovascular Disease With Alzheimer’s Disease Study: BICWALZS”. Psychiatry Investigation, [Paper]

[62] (2021) Taekyungh Ha, Hyunjung Shin^*. “Vacuum Leak Detection Method Using Index Regression and Correction for Semiconductor Equipment in a Vacuum Chamber”. Applied Sciences, [Paper]

[61] (2021) Sunghong Park, Junhee Cho, Kanghee Park, Hyunjung Shin^*. “Customer sentiment analysis with more sensibility”. Engineering Applications of Artificial Intelligence, [Paper]

[60] (2021) Sunjoo Bang, Jong Ho Jhee, Hyunjung Shin^*. “Polypharmacy Side effect Prediction with Enhanced Interpretability Based on Graph Feature Attention Network”. Bioinformatics, [Paper]

[59] (2020) Dong-gi Lee, Myungjun Kim, Hyunjung Shin^*. “Dementia Key Gene Identification with Multi-Layered SNP-Gene-Disease Network”. Bioinformatics, [Paper] 

[58] (2020) 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 Systems With Applications, [Paper]

[57] (2019) 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 Bioinformatics, [Paper]

[56] (2019) Yukyung Shin and Hyunjung Shin^*. “Missing Value Imputation with Attribute Value Propagation using Graph-based Semi-Supervised Learning”. KIISE Transactions on Computing Practices, vol. 25, no. 10, pp. 511-516, [Paper]

[55] (2019) Myungjun Kim, Dong-gi Lee, Hyunjung Shin^*. “Semi-Supervised Learning for Hierarchically Structured Networks”. Pattern Recognition, [Paper]

[54] (2019) Hyoji Ha, Jihye Lee, Hyunwoo Han, Sungyun Bae, Sangjoon Son, Changhyung Hong, Hyunjung Shin.^* and Kyungwon Lee. “Dementia Patient Segmentation Using EMR Data Visualization: A Design Study”. International Journal of Environmental Research and Public Health, [Paper]

[53] (2019) Yonghyun Nam, Myunjung Kim, Hang-Seok Chang, Hyunjung Shin*. “Drug Repurposing with Network Reinforcement”. BMC Bioinformatics, [Paper]

[52] (2019) Dong-gi Lee, Myungjun Kim, Hyunjung Shin*. “Inference on chains of disease progression based on disease networks”. PLoS One, [Paper]

[51] (2019) Hyoji Ha, Jihye Lee, Hyunwoo Han, Sungyun Bae, Sangjoon Son, Changhyung Hong, Hyunjung Shin.^* and Kyungwon Lee. “Dementia Patient Segmentation Using EMR Data Visualization: A Design Study”. International Journal of Environmental Research and Public Health, [Paper]

[50] (2019) Sunjoo Bang, Sangjoon Son, Sooyoung Kim, Hyunjung Shin*. “Disease Pathway Cut for Multi-Target drugs”. BMC Bioinformatics, [Paper]

[49] (2018) Yonghyun Nam, Jong Ho Jhee, Junhee Cho, Ji-Hyun Lee, Hyunjung shin*. “Disease gene identification based on generic and disease-specific genome networks”. Bioinformatics, [Paper]

[48] (2018) Dong-gi Lee, Sangkuk Lee, Myungjun Kim, Hyunjung Shin*. “Historical inference base d on semi-supervised learning”. Expert Systems With Applications, [Paper]

[47] (2018) Jong Ho Jhee, Sunjoo Bang, Dong-gi Lee, Hyunjung Shin*. “Comorbidity Scoring with Causal Disease Networks”. IEEE/ACM Transactions on Computational Biology and Bioinformatics, [Paper]

[46] (2017) Sunghong Park, Dong-gi Lee, Hyunjung Shin*. “Network Mirroring for Drug Repositioning”. BMC Medical Informatics and Decision Making, 17(Suppl 1):55, [Paper]

[45] (2017) Myungjun Kim, Yonghyun Nam, Hyunjung Shin*. “An Inference Method from Multi-Layered Structure of Biomedical Data”. BMC Medical Informatics and Decision Making, 17(Suppl 1):52, [Paper]

[44] (2017) Sunjoo Bang, Hyunwoong Noh, Jihye Lee, Sungyun Bae, Kyungwon Lee, Changhyung Hong, Sangjoon Son, Hyunjung Shin. “Quad-phased Data Mining Modeling for Dementia Diagnosis”. BMC Medical Informatics and Decision Making, 17(Suppl 1):60, [Paper]

[43] (2017) Dong-gi Lee and Hyunjung Shin. “Disease Causality Extraction based on Lexical Semantics and Clause Frequency from Biomedical Literature”. BMC Medical Informatics and Decision Making, 17(Suppl 1):53, [Paper]

[42] (2017) Yonghyun Nam, Oak-Sung Choo, Yu-Ri Lee, Yun-Hoon Choung, Hyunjung Shin. “Cascade Recurring Deep Networks for Audible Range Prediction”. BMC Medical Informatics and Decision Making, 17(Suppl 1):56, [Paper]

[41] (2016) Sunjoo Bang, Jaehoon Kim and Hyunjung Shin. “Causality modeling for directed disease network”. Bioinformatics, 32(17):i437-i444, [Paper]

[40] (2016) Younghyun Nam, Myungjun Kim, Kyungwon Lee and Hyunjung Shin. “CLASH: Complementary Linkage with Anchoring and Scoring for Heterogeneous BioMolecular and Clinical Data”. BMC Medical Informatics and Decision Making, 16(Suppl 3):72, [Paper]

[39] (2015) Chan-Kyoo Park, Yong Won Seo, Hyunjung Shin. “An optimization approach to resolving circular shareholding in large business groups”. Journal of the Operational Research Society, 66:1454, [Paper]

[38] (2014) Kihoon Cha, Min-Sung Kim, Kimin Oh, Hyunjung Shin, Gwan-Su Yi. “Drug similarity search based on combined signatures in gene expression profiles”. Health Informatics Research, vol. 20, no. 1, pp. 52-60, [Paper]

[37] (2014) Dokyoon Kim, Hyunjung Shin, Kyung-Ah Sohn, Anurag Verma, Marylyn D. Ritchie, Ju Han Kim. “Incorporating inter-relationships between different levels of genomic data into cancer clinical outcome prediction.” Methods, 67(3), pp.344-353, [Paper]

[36] (2014) Dokyoon Kim, Je-Gun Joung, Kyung-Ah Sohn, Hyunjung Shin, Marylyn D. Ritchie and Ju Han Kim. “Knowledge Boosting: A graph-based integration with multi-omics data and genomic knowledge for cancer clinical outcome prediction”. Journal of the American Medical Informatics Association, [Paper]

[35] (2014) Hyunjung Shin and Yonghyun Nam. “A Coupling Approach of a Predictor and a Descriptor for Breast Cancer Prognosis”. BMC Systems Biology, vol.7(Suppl 1):S4, [Paper]

[34] (2013) Kanghee Park and Hyunjung Shin*. “Stock Trading Model using Portfolio Optimization and Forecasting Stock Price Movement”.Journal of the Korean Institute of Industrial Engineers, vol. 39, no. 6, pp. 535-545, [Paper]

[33] (2013) Kyung-Ah Sohn and Hyunjung Shin. “Electricity Price Prediction based on Semi-Supervised Learning and Neural Network Algorithms”. Journal of the Korean Institute of Industrial Engineers, vol. 39, no. 1, pp. 30-45 , [Paper]

[32] (2013) Dokyoon Kim, Hyunjung Shin, Je-Gun Joung, Su Yeon Lee and Ju Han Kim. “Intra-relation Reconstruction from Inter-relation: miRNA to Gene Expression”. BMC Systems Biology, vol.7(Suppl 3):S8, [Paper]

[31] (2013) Kanghee Park, Amna Ali, Dokyoon Kim, Yeolwoo An, Minkoo Kim, and Hyunjung Shin. “Robust Predictive Model for Evaluating Breast Cancer Survivability”. Engineering Applications of Artificial Intelligence, pp.2194-2205, [Paper]

[30] (2013) Jaejin Hwang, Hyunjung Shin, and Myung-Chul Jung. “Joint motion pattern classification by cluster analysis of kinematic, demographic, and subjective variables”. Applied Ergonomics, pp.636-642, [Paper]

[29] (2013) Kanghee Park and Hyunjung Shin*. “Stock Price Prediction based on a Complex Interrelation Network of Economic Factors”. Engineering Applications of Artificial Intelligence. 26. pp.1550-1561, [Paper]

[28] (2013) Inae Choi, Kanghee Park, and Hyunjung Shin*. “Sharpened graph ensemble for semisupervised learning”. Intelligent Data Analysis, 17(3):00, [Paper]

[27] (2013) Hyunjung Shin, Tianya Hou, Kanghee Park, Chan-Kyoo Park, and Sunghee Choi. “Prediction of movement direction in crude oil prices based on semi-supervised learning”. Decision Support Systems, 55, pp.348-358, [Paper]

[26] (2013) Juhyeon Kim and Hyunjung Shin*. “Breast Cancer Survivability Prediction with Labeled, Unlabeled, and Pseudo-Labeled patient Data”. Journal of the American Medical Informatics Association, 0, pp.1-6. BMJ, [Paper]

[25] (2012) Dokyoon Kim, Hyunjung Shin, Young Soo Song, and Ju Han Kim. “Synergistic effect of different levels of genomic data for cancer clinical outcome prediction”. Journal of Biomedical Informatics, 45(6), pp. 1191-1198, [Paper]

[24] (2012) Hyunjung Shin, Hayoung Park, Junwoo Lee, and Won Chul Jhee. “A scoring model to detect abusive billing patterns in health insurance claims”. Expert Systems with Applications, 39(8):7441-7450, [Paper]

[23] (2011) HyungRo Lee and Hyunjung Shin*. “Electricity Demand Forecasting based on Support Vector Regression”. IE Interfaces, vol. 24, no. 4, pp. 351-361, [Paper]

[22] (2011) Kanghee Park and Hyunjung Shin*. “Stock Price Prediction based on Time Series Network”. Korean Management Science Review, vol.28, no.1, pp.107-114, [Paper]

[21] (2011) Kanghee Park, Tianya Hou, and Hyunjung Shin*. “Oil Price Forecasting based on Machine Learning Techniques”. Journal of the Korean Institute of Industrial Engineers, vol. 37, no.1, pp.64-73, [Paper]

[20] (2011) YoungSoo Song, ChanHee Park, Hee-Joon Chung, Hyunjung Shin, Jihun Kim, and Ju Han Kim. “Semantically enabled and statistically supported biological hypothesis testing with tissue microarray databases”. BMC Bioinformatics, vol. 12(Suppl 1) :S51, pp.51-62, [Paper]

[19] (2011) Mingoo Kim, Hyunjung Shin, Taesu Chung, Je-Gun Joung and JuHan Kim. “Extractin Regulatory Modules from Gene Expression Data by Sequential Pattern Mining”. BMC Genomics, vol. 12(Suppl 3):S5, pp.11-21. 2011. SCI impact factor 4.206- [KSC+11], [Paper]

[18] (2011) Irfan Ahmed, Kyung-suk Lhee, Hyunjung Shin, and ManPyo Hong. “Fast Content-Based File Type Identification”. IFIP Advances in Information and Communication Technology, vol. 361, pages 65-75, [Paper]

[17] (2010) HyoungJoo Lee, Hyunjung Shin, Sungzoon Cho, and Douglas MacLachlan. “Semi-supervised response modeling”. Journal of Interactive Marketing, vol.24, no. 1, pp. 42-54, [Paper]

[16] (2010) Hyunjung Shin, Nicholas J. Hill, Andreas M. Lisewski, and JoonSang Park. “Graph sharpening”. Expert Systems with Applications, vol. 37, no. 12, pp. 7870-7879, [Paper]

[15] (2010) Irfan Ahmed, Kyung-suk Lhee, Hyunjung Shin, and ManPyo Hong. “Content-based filetype identification using cosine similarity and a divide-and-conquer approach”. IETE Technical Review Journal, Vol. 27, Issue 6, pp. 465-477, [Paper]

[14] (2009) Hyunjung Shin, Koji Tsuda, and Bernhard Schölkopf. “Protein functional class prediction with a combined graph”. Expert Systems with Applications, vol. 36, no. 2009, issue 2, part 2, pp. 3284-3292, [Paper]

[13] (2007) Hyunjung Shin, Andreas Martin Lisewski, and Olivier Lichtarge. “Graph sharpening plus graph integration: A synergy that improves protein functional classification”. Bioinformatic, vol. 23, no. 23, 2007, pp. 3217-3224, Oxford University Presss, [Paper]

[12] (2007) Hyunjung Shin and Sungzoon Cho. “Neighborhood property based pattern selection for support vector machines”. Neural Computation, vol. 19, no. 3, pp.816-855, [Paper]

[11] (2006) Sungzoon Cho, Hyunjung Shin, Enzhe Yu, KyoungNam Ha, and Douglas MacLachlan. “Data mining problems and solutions for response modeling in CRM”. Entrue Journal of Information Technology, vol.5, no.1, pp. 55-64, [Paper]

[10] (2006) Hyunjung Shin and N. Jeremy Hill, Gunnar Raetsch. “Graph-based Semi-Supervised Learning with Sharper Edges”. Lecture Notes in Artificial Intelligence (LNAI 4212), pp. 402- 413, [Paper]

[9] (2005) Hyunjung Shin and Sungzoon Cho. “Response modeling with support vector machines”. Expert Systems with Applications, vol. 30, no. 4, pp.746-760, [Paper]

[8] (2005) Koji Tsuda, Hyunjung Shin, and Bernhard Schölkopf. “Fast Protein Classification with Multiple Networks”. Bioinformatics, vol. 21, pp.59-65, Oxford University Press, [Paper]

[7] (2005) Hyunjung Shin and Sungzoon Cho. “Invariance of neighborhood relation under input space to feature space mapping”. Pattern Recognition Letters, vol. 26, no. 6, pp.707-718, Elsevier, [Paper]

[6] (2003) Dae-Il Jeong, Young-Oh Kim, Hyunjung Shin and Sungzoon Cho. “A Study on Rainfall- Runoff Models for Improving Ensemble Streamflow Prediction: 1. Rainfall-runoff Models Using Artificial Neural Networks”. Journal of the Korean Society of Civil Engineers, vol. 23, no. 6B, pp. 521-530, [Paper]

[5] (2003) Hyunjung Shin and Sungzoon Cho. “Fast Pattern Selection Algorithm for Support Vector Classifiers: Time Complexity Analysis”. Lecture Notes in Computer Science (LNCS 2690), pp. 1008-1015, [Paper]

[4] (2003) Hyunjung Shin and Sungzoon Cho. “Fast Pattern Selection for Support Vector Classifiers”. Lecture Notes in Artificial Intelligence (LNAI 2637), pp. 376-387, [Paper]

[3] (2002) Hyunjung Shin and Sungzoon Cho. “Pattern Selection Using the Bias and Variance of Ensemble”. Journal of the Korean Institute of Industrial Engineers, vol. 28, no. 1, pp. 112-127, [Paper]

[2] (2002) Hyunjung Shin and Sungzoon Cho. “Pattern Selection for Support Vector Classifiers”. Lecture Notes in Computer Science (LNCS 2412), pp. 469-474, [Paper]

[1] (2000) Hyunjung Shin, Hyungjoo Lee and Sungzoon Cho. “Observational Learning with Modular Networks”. Lecture Notes in Computer Science (LNCS 1983), pp. 126-132, [Paper]