蔣榮先

Accepted Papers to be Published

從A I到智慧醫療

當數位轉型碰上生成式AI

Refered Papers

Ÿ  Hui-O Chen, Yuan-Chi Cui, Peng-Chan Lin, Jung-Hsien Chiang / June 2024 / An Innovative Multi-Omics Model Integrating Latent Alignment and Attention Mechanism for Drug Response Prediction/ Journal of Personalized Medicine/ 14(7), 694 

Ÿ  Kuan-Hung Liu, Wei-Hsiang Chang, Edward Chia-Cheng Lai, Pei-Chen Tsai, Bin Hsu, Yu-Hsuan Yang, Wei-Ren Lin, Tzu-Shan Huang, Fang-Yi Su, Jung-Hsien Chiang, Chung-Yi Li, Yau-Sheng Tsai, Junne-Ming Sung / January 2024 / Ambient temperature and the occurrence of intradialytic hypotension in patients receiving hemodialysis / Clinical Kidney Journal / sfad304

 Ÿ    Mu-Hung Tsai, Joseph TC Chang, Hsi-Huei Lu, Yuan-Hua Wu, Tzu-Hui Pao, Yung-Jen Cheng, Wen-Yen Zheng, Chen-Yu Chou, Jing-Han Lin, Tsung Yu, Jung-Hsien Chiang / December 2023 / Development and validation of a machine learning model of radiation-induced hypothyroidism with clinical and dose–volume features / Radiotherapy and Oncology / 189,109911

Ÿ  Hsin-Hsiung Chang, Jung-Hsien Chiang, Chun-Chieh Tsai, Ping-Fang Chiu / June 2023 / Predicting Hyperkalemia inPatients with Advanced Chronic Kidney Disease Using The XGBoost Model / BMC nephrology / 24(1),169

Ÿ  Pei-Chen Tsai, Tsung-Hua Lee, Kun-Chi Kuo, Fang-Yi Su, Tsung-Lu Michael Lee, Eliana Marostica, Tomotaka Ugai, Melissa Zhao, Mai Chan Lau, Juha P Väyrynen, Marios Giannakis, Yasutoshi Takashima, Seyed Mousavi Kahaki, Kana Wu, Mingyang Song, Jeffrey A Meyerhardt, Andrew T Chan, Jung-Hsien Chiang, Jonathan Nowak, Shuji Ogino, Kun-Hsing Yu/ April 2023 / Histopathology Images Predict Multi-Omics Aberrations and Prognoses in Colorectal Cancer Catients / Nature Communications / 14(1),2102

Ÿ   Hsin-Hsiung Chang, Jung-Hsien Chiang, Chi-Shiang Wang, Ping-Fang Chiu, Khaled Abdel-Kader, Huiwen Chen, Edward D Siew, Jonathan Yabes, Raghavan Murugan, Gilles Clermont, Paul M Palevsky, Manisha Jhamb / September 2022 / Predicting Mortality Using Machine Learning Algorithms in Patients Who Require Renal Replacement Therapy in the Critical Care Unit / Journal of Clinical Medicine / 11(18), 5289

Ÿ   Chi-Shiang Wang, Fang-Yi Su, Jung-Hsien Chiang / July 2022 / MedCheX: An Efficient COVID-19 Detection Model for Clinical Usage / Journal of Information Science & Engineering / 38(4), 749-759

Ÿ   Pei-Yi Hao, Jung-Hsien Chiang, Yu-De Chen / May 2022 / Possibilistic Classification by Support Vector Networks / Neural Networks / 149,40-56

Ÿ   Ching-Ju Chiu,Lin-Chun Hua,Chieh-Ying Chou,Jung-Hsien Chiang / April 2022 / Robot-Enhanced Diabetes Care for Middle-Aged and Older Adults Living with Diabetes in the Community: A Small Sample Size Mixed-Method Evaluation /  Plos One / 17(4),e0265384

Ÿ   Jung-Hsien Chiang, Chung-Yao Ma, Chi-Shiang Wang, Pei-Yi Hao / January 2022 / An Adaptive, Context-Aware, and Stacked Attention Network-Based Recommendation System to Capture Users Temporal Preference / IEEE Transactions on Knowledge and Data Engineering / 1-1

Ÿ   Sina Abdollahi,Seyedeh Zahra Dehghanian,Liang-Yi Hung,Shiang-Jie Yang,Dao-Peng Chen,L Jeffrey Medeiros, Jung-Hsien Chiang, Kung-Chao Chang / October 2021 / Deciphering Genes Associated with Diffuse Large B-Cell Lymphoma with Lymphomatous Effusions: A Mutational Accumulation Scoring Approach / Biomark Research / 9(1),74

Ÿ   Hui-O Chen,Peng-Chan Lin,Chen-Ruei Liu,Chi-Shiang Wang,Jung-Hsien Chiang  / October 2021 / Contextualizing Genes by Using Text-Mined Co-Occurrence Features for Cancer Gene Panel Discovery / Frontiers in Genetic /  12,771435

Ÿ   Sina Abdollahi,Peng-Chan Lin,Jung-Hsien Chiang / October 2021 / WinBinVec: Cancer-Associated Protein-Protein Interaction Extraction and Identification of 20 Various Cancer Types and Metastasis Using Different Deep Learning Models /  IEEE Journal of Biomedical and Health Informatics / 25(10),4052-4063

Ÿ   Sina Abdollahi, Peng-Chan Lin, Meng-Ru Shen, Jung-Hsien Chiang / July 2021 / Precise Uncertain Significance Prediction Using Latent Space Matrix Factorization Models: Genomics Variant and Heterogeneous Clinical Data-Driven Approaches / Briefings in Bioinformatics / 22(4), bbaa281

Ÿ   Cheng-Yi Kao,Chiao-Yun Lin,Cheng-Chen Chao,Han-Sheng Huang,Hsing-Yu Lee,Chia-Ming Chang,Kang Sung,Ting Rong Chen,Po-Chang Chiang,Li-Ting Huang,Bow Wang,Yi-Sheng Liu,Jung-Hsien Chiang,Chien-Kuo Wang,Yi-Shan Tsai / June 2021 / Automated Radiology Alert System for Pneumothorax Detection on Chest Radiographs Improves Efficiency and Diagnostic Performance / Diagnostics / 2021,11(7),1182

Ÿ   Chi-Shiang Wang,Bo-Syun Chen,Jung-Hsien Chiang / June 2021/ TDD-BPR: The Topic Diversity Discovering on Bayesian Personalized Ranking for Personalized Recommender System /  Neurocomputing / 441, 202-213

Ÿ   Sina Abdollahi, Peng-Chan Lin, Jung-Hsien Chiang / May 2021 / DiaDeL: An Accurate Deep Learning-Based Model with Mutational Signatures for Predicting Metastasis Stage and Cancer Types / IEEE/ACM Transactions on Computational Biology and Bioinformatics / 19(3),1336-1343

Ÿ   Peng-Chan Lin,Hui-O Chen,Chih-Jung Lee,Yu-Min Yeh,Meng-Ru Shen,Jung-Hsien Chiang / January 2021 / Comprehensive Assessments of Germline Deletion Structural Variants Reveal the Association between Prognostic MUC4 and CEP72 Deletions and Immune Response Gene Expression in Colorectal Cancer Patients / Human Genomics / 15(1),3

Ÿ   Ping-Yen Liu,Yi-Shan Tsai,Po-Lin Chen,Huey-Pin Tsai,Ling-Wei Hsu,Chi-Shiang Wang,Nan-Yao Lee,Mu-Shiang Huang,Yun-Chiao Wu,Wen-Chien Ko,Yi-Ching Yang,Jung-Hsien Chiang,Meng-Ru Shen / October 2020 / Application of an Artificial Intelligence Trilogy to Accelerate Processing of Suspected Patients With SARS-CoV-2 at a Smart Quarantine Station: Observational Study / Journal of Medical Internet Research /  22(10):e19878

Ÿ   Mu-Shiang Huang, Chi-Shiang Wang, Jung-Hsien Chiang, Ping-Yen Liu, Wei-Chuan Tsai / September 2020 / Automated Recognition of Regional Wall Motion Abnormalities Through Deep Neural Network Interpretation of Transthoracic Echocardiography / Originally / 142(16),1510-1520

Ÿ   Kun-Hsing Yu, Tsung-Lu Michael Lee, Ming-Hsuan Yen, S. C. Kou, Bruce Rosen, Jung-Hsien Chiang, Isaac S. Kohane / August 2020 / Reproducible Machine Learning Methods for Lung Cancer Detection Using Computed Tomography Images / Journal of Medical Internet Research / 22(8),e16709

Ÿ   D.A. Devyatkin1, A.I. Molodchenkov1, A.V. Lukin1, Y.S. Kim, A.A. Boyko, P.A. Karalkin, J.-H. Chiang,
G.D. Volkova, A.Yu. Lupatov / September 2019 / Towards Automated Meta-Analysis of Biomedical Texts in the Field of Cell-based Immunotherapy / Experimental Research / 2,3

Ÿ   Chia-Jung Yang, Jung-Hsien Chiang / December 2018 / Cateye: A Hint-Enabled Search Engine Framework for Biomedical Classification Systems / International Computer Symposium / 1013,758-763

Ÿ   RE Suvorov, Ya S Kim, AM Gisina, JH Chiang, KN Yarygin, A Yu Lupatov / November 2018 / Surface Molecular Markers of Cancer Stem Cells: Computation Analysis of Full-Text Scientific Articles / Bulletin of Experimental Biology and Medicine / 166(1),135-140

Ÿ   Chia-Jung Yang, Jung-Hsien Chiang / October 2018 / Gene Ontology Concept Recognition Using Named Concept: Understanding the Various Presentations of the Gene Functions in Biomedical Literature / Database: The Journal of Biological Databases and Curation / bay115

Ÿ   Kun-Hsing Yu, Tsung-Lu Michael Lee, Yu-Ju Chen, Christopher Ré, Samuel C Kou, Jung-Hsien Chiang, Michael Snyder, Isaac S Kohane / August 2018 / A Cloud-Based Metabolite and Chemical Prioritization System for the Biology/Disease-Driven Human Proteome Project / Journal of Proteome Research / 17(12),4345-4357

Ÿ   Jui-Hung Chang, Chen-En Tsai, Jung-Hsien Chiang / July 2018 / Using Heterogeneous Social Media as Auxiliary Information to Improve Hotel Recommendation Performance / IEEE Access / 6,42647-42660

Ÿ   Yu Kun-Hsing, Lee Tsung-Lu Michael, Wang Chi-Shiang, Chen Yu-Ju, Re Christopher, Kou Samuel C., Chiang Jung-Hsien*, Kohane Isaac S., Snyder Michael / April 2018 / Systematic Protein Prioritization for Targeted Proteomics Studies through Literature Mining / Journal of Proteome Research / 17(4),1383-1396 

Ÿ   Hsih-Te Yang, Jiun-Huang Ju, Yue-Ting Wong, Ilya Shmulevich, Jung-Hsien Chiang / May 2017 / Literature-Based Discovery of New Candidates for Drug Repurposing / Briefings in Bioinformatics / 18(3),488-497

Ÿ   Kim  YS,  Kaidina  AM, Chiang JH,  Yarygin KN, Lupatov  AY / January 2017 / Cancer Stem Cell Molecular Markers Verified in vivo / Biochemistry Moscow-Supplement Series B-Biomedical Chemistry / 11(1),43-54

Ÿ   Hung Shan,  Li Min-Shan, Chen  Yen-Lin, Chiang Jung-Hsien, Chen Ying-Yeh, Hung Galen Chin-Lun / October 2016 / Smartphone-Based Ecological Momentary Assessment for Chinese Patients with Depression: An Exploratory Study in Taiwan / Asian Journal of Psychiatry / 23,131–136

Ÿ   Yang HT, Yang H, Chiang JH, Wang SJ / October 2016 / Translating Genomic Sequences into Antibody Efficacy and Safety Against Influenza toward Clinical Trial Outcomes: A Case Study / Drug Discovery Today / 21(10),1664-1671

Ÿ   Galen Chin-Lun Hung, Pei-Ching Yang, Chia-Chi Chang, Jung-Hsien Chiang, Ying-Yeh Chen / July 2016 / Predicting Negative Emotions Based on Mobile Phone Usage Patterns: An Exploratory Study / JMIR Research Protocols / 5(3),e160

Ÿ   YS Kim, AM Kaidina, JH Chiang, KN Yarygin, A Yu Lupatov / March 2016 / Molecular Markers of Cancer Stem Cells Verified in Vivo / Biomeditsinskaya Khimiya / 62(3),228-38

Ÿ   Hung G.Chin-Lun, Li MS, Chen YL, Chiang JH / March 2016 / Capturing Depression with Your Smartphone: Validity and Utilization of iHOPE for Depressed Patients in Taiwan / European Psychiatry / 33,S283

Ÿ   Wen-Chieh Fang, Huan-Jui Chang, Chen Yang, Hsih-Te Yang, Jung-Hsien Chiang / December 2015 / A Boosting Approach for Predicting Slope of ALS / F1000Research / https://doi.org/10.7490/f1000research.1111120.1

Ÿ   WS Cheng, JH Chiang / January 2015 / Analysis of Prognostic Marker Panel for High-Grade Serous Ovarian Cancer through Age-Dependent DNA Methylation. J Phylogen Evolution Biol. 3: 153 / These Results also Indicated that Our Method Reliably Extracted Age-Dependent Markers with the Potential to Consider Further Clinical Testing / DOI:10.4172/2329-9002.1000153

Ÿ   Jung-Hsien Chiang, Jiun-Huang Ju / December 2014 / Discovering Novel Protein-protein Interactions by Measuring the Protein Semantic Similarity from the Biomedical Literature / Journal of Bioinformatics and Computational Biology / 12(6),SI 

Ÿ   Jung-Hsien Chiang, Pei-Ching Yang, Hsuan Tu / August 2014 / Pattern Analysis in Daily Physical Activity Data for Personal Health Management / Pervasive and mobile computing / 13,13-25

Ÿ   Yuqing Mao, Kimberly Van Auken, Donghui Li, Cecilia N Arighi, Peter McQuilton, G Thomas Hayman, Susan Tweedie, Mary L Schaeffer, Stanley JF Laulederkind, Shur-Jen Wang, Julien Gobeill, Patrick Ruch, Anh Tuan Luu, Jung-jae Kim, Jung-Hsien Chiang, Yu-De Chen, Chia-Jung Yang, Hongfang Liu, Dongqing Zhu, Yanpeng Li, Hong Yu, Ehsan Emadzadeh, Graciela Gonzalez, Jian-Ming Chen, Hong-Jie Dai, Zhiyong L / August 2014 / Overview of the Gene Ontology Task at BioCreative IV / Database-The Journal of Biological Databases and Curation / 25(2014),bau086

Ÿ   Jennifer M Holden, Ludek Koreny, Samson Obado, Alexander V Ratushny, Wei-Ming Chen, Jung-Hsien Chiang, Steven Kelly, Brian T Chait, John D Aitchison, Michael P Rout, Mark C Field / May 2014 / Nuclear Pore Complex Evolution: a Trypanosome Mlp Analogue Functions in Chromosomal Segregation but Lacks Transcriptional Barrier Activity / Molecular biology of the cell / 25(9),1421-1436

Ÿ   Jung-Hsien Chiang, Wan-Shu Cheng, Leroy Hood, and Qiang Tian / May 2014 / An Epigenetic Biomarker Panel for Glioblastoma Multiforme Personalized Medicine through DNA Methylation Analysis of Human Embryonic Stem Cell-like Signature / OMICS: A Journal of Integrative Biology / 18(5),310-323

Ÿ   Pei-Ching Yang, Chia-Chi Chang, Yen-Lin Chen, Jung-Hsien Chiang, Galen Chin-Lun Hung / April 2014 / Portable Assessment of Emotional Status and Support System / International Conference on Health Information Science / 8423,175-183

Ÿ   Jung-Hsien Chiang , Lin Chan-Hsien / March 2014 / NCS: Incorporating Positioning Data to Quantify Nucleosome Stability in Yeast / Bioinformatics / 30(6),761-767

Ÿ   Samuel A. Danziger,  Alexander V. Ratushny, Jennifer J. Smith, Ramsey A. Saleem, Yakun Wan, Christina E. Arens, Abraham M. Armstrong, Katherine Sitko, Wei-Ming Chen, Jung-Hsien Chiang,  David J. Reiss, Nitin S. Baliga,  John D. Aitchison / Februery 2014 / Molecular Mechanisms of System Responses to Novel Stimuli are Predictable from Public Data / Nucleic Acids Research / 42(3),1442-1460

Ÿ   Cheng, Wan-Shu, Chiang, Jung-Hsien / December 2013 / CGPredictor: A Systematic Integrated Analytic Tool for Mining and Examining Genome-scale Cancer Independent Prognostic Epigenetic Marker Panels / BMC Systems Biology / 7(6),S10

Ÿ   Wei-Ming Chen, Samuel A Danziger, Jung-Hsien Chiang, John D Aitchison / October 2013 / PhosphoChain: A Novel Algorithm to Predict Kinase and Phosphatase Networks from High-throughput Expression Data / Bioinformatics / 29(19),2435-44

Ÿ   Tsunglin Liu, Cheng-Hung Tsai, Wen-Bin Lee, Jung-Hsien Chiang / July 2013 / Optimizing Information in Next-Generation-Sequencing (NGS) Reads for Improving De Novo Genome Assembly / PLoS ONE / 8(7),e69503

Ÿ   Chiang JH, Chang DTH, Kao HY / April 2013 / Introduction to the 23rd International Conference on Genome Informatics (GIW2012) / Gene / 518(1),1-1特刊: SI

Ÿ   Van de Vosse DW, Wan Y, Lapetina DL, Chen WM, Chiang JH, Aitchison JD, Wozniak RW / February 2013 / A Role for the Nucleoporin Nup170p in Chromatin Structure and Gene Silencing / Cell / 152(5),969-983

Ÿ   Lee TLM, Chiang JH / November 2012 / A Systems Biology Approach to Solving the Puzzle of Unknown Genomic Gene-Function Association Using Grid-Ready SVM Committee Machines / IEEE Computational Intelligence Magazine / 7(4),46-54

Ÿ   Chang, DTH, Ke, CH, Lin JH, Chiang JH / 2012 / AutoBind: Automatic Extraction of Protein-Ligand Binding Affinity Data from Biological Literature / Bioinformatics / 28(16),2162-2168

Ÿ   Wan Yakuna, Chen Weimingb, Xing  Jiec, Tan Jinyina, Li Binga, Chen Huiyinga, Lin Zhanxianb, Chiang Jung-Hsienb, Saleem Ramsey A.d / October 2011 / Erratum: Transcriptome Profiling Reveals a Novel Role for Trichostatin A in Antagonizing Histone Chaperone Chz1 Mediated Telomere Anti-Silencing / FEBS Letters / 585(19),31463

Ÿ   Lin JW,  Chang CH,  Lin MW,  Ebell, MH,  Chiang JH / August 2011 / Automating the Process of Critical Appraisal and Assessing the Strength of Evidence with Information Extraction Technology / Journal of Evaluation in Clinical Practice / 17(4),832-838

Ÿ   Yakun Wan ,Weiming Chen, Jie Xing, Jinyin Tan, Bing Li, Huiying Chen, Zhanxian Lin, Jung- Hsien Chiang, Saleem Ramsey / August 2011 / Transcriptome Profiling Reveals a Novel Role for Trichostatin A in Antagonizing Histone Chaperone Chz1 Mediated Telomere Anti-Silencing / FEBS Letters / 585(15),2519-2525

Ÿ   Chiang JH,Liu HH, Huang YT / April 2011 / Condensing Biomedical Journal Texts through Paragraph Ranking / Bioinformatics / 27(8),1143-1149

Ÿ   Chao SY, Chiang JH, Huang AM, Chang WS / March 2011 / An Integrative Approach to Identifying Cancer Chemoresistance-Associated Pathways / BMC Medical GenomicEDICAL GENOMICS / 4,23

Ÿ   Yeh CY, Shin SM, Yeh HH, Wu TJ, Shin JW, Chang TY, Raghavaraju G, Lee CT, Chiang JH, Tseng VS, Lee YCG, Shen CH, Chow NH, Liu HS / April 2011 / Transcriptional Activation of the Axl and PDGFR-Alpha by C-Met through a Ras- and Src-Independent Mechanism in Human Bladder Cancer / BMC Cancer / 11,139

Ÿ Yang Pei-Chinga,Chiang Jung-Hsiena,Liu  Jen-Chub,Wen Yi-Lunc,Chuang Kuo-Yuc / December 2010 / An efficient Cloud for Wellness Self-Management Devices and Services / Proceedings - 4th International Conference on Genetic and Evolutionary Computing, ICGEC 2010 / 767-770

Ÿ   Michael T-L Lee, Jimmy J-M Su, Chi-Rong Li, Patrick Y-W Chu, Ming-Sheng Liu, Jung-Hsien Chiang, Kelvin K-C Tsai, Kok-Tong Tan / October 2010 / Gene Expression Signatures Associated with Protracted Stromal Responses to Therapeutically Relevant Cytotoxic Stimuli Predict Breast Cancer Chemoresponsiveness / Clinical Cancer Research / 16 (19_Supplement),B22

Ÿ   Chiang JH, Lin JW, Yang CW / May 2010 / Automated Evaluation of Electronic Discharge Notes to Assess Quality of Care for Cardiovascular Diseases Using Medical Language Extraction and Encoding System (MedLEE) / Journal of the American Medical Informatics Association / 17(3),245-252

Ÿ   Wan YK, Chiang JH, Lin CH, Arens CE, Saleem RA, Smith JJ , Aitchison JD / March 2010 / Histone Chaperone Chz1p Regulates H2B Ubiquitination and Subtelomeric Anti-silencing / Nucleic Acids Research / 38(5),1431-1440

Ÿ   Cheng LH, Lu W, Kulkarni B, Pejovic T, Yan, XW, Chiang JH,  Hood L, Odunsi K, Lin BY / March 2010 / Analysis of Chemotherapy Response Programs in Ovarian Cancers by the Next-Generation Sequencing Technologies / Gynecologic Oncology / 117(2)159-169

Ÿ   Shih-Yi Chao; Jung-Hsien Chiang / October 2009 / Reconstruct Feedback Control of Cell Cycle-Regulated Networks of the Yeast by Neural Network Computing / 2006 International Conference on Computing & Informatics / 5276483

Ÿ   Yung-Chun Chang, Pei-Ching Yang, Jung-Hsien Chiang / September 2009 / Ontology-Based Intelligent Web Mining Agent for Taiwan Travel / 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology / 3,421-424

Ÿ   Jung-Hsien Chiang / September 2009 / Tech-Ware: Bioinformatics and Computational Biology Resources [Best of the Web] / IEEE Signal Processing Magazine / 26(5),153-158

Ÿ   Hao PY, Chiang JH, Lin YH / 2009 / A New Maximal-margin Spherical-Structured Multi-class Support Vector Machine / Applied Intelligence / 30(2) 98-111

Ÿ   Wan YK, Saleem RA, Ratushny AV, Roda O, Smith JJ 1, Lin CH, Chiang JH, Aitchison JD / 2009 / Role of the Histone Variant H2A.Z/Htz1p in TBP Recruitment, Chromatin Dynamics, and Regulated Expression of Oleate-Responsive Genes / Molecular and Cellular Biology / 29(9),2346-2358

Ÿ   Majetl R, Becker MW, Tian Q, Lee TLM, Yan XW, Liu R, Chiang JH, Hood L, Clarke MF, Weissman IL / March 2009 / Dysregulated Gene Expression Networks in Human Acute Myelogenous Leukemia Stem Cells / Proceedings of the National Academy of Sciences of the United States of America / 106(9),3396-3401

Ÿ   Chiang JH, Ho SH, Wang WH / October 2008 / Similar Genes Discovery System (SGDS): Application for Predicting Possible Pathways by Using GO Semantic Similarity Measure / Expert Systems with Applications / 35(3),1115-1121

Ÿ   Chiang JH, Lee TLM / August 2008 / In Silico Prediction of Human Protein Interactions Using Fuzzy-SVM Mixture Models and Its Application to Cancer Research / IEEE Transactions on Fuzzy Systems / 16(4),1087-1095

Ÿ   Hao PY, Chiang JH / April 2008 / Fuzzy Regression Analysis by Support Vector Learning Approach / IEEE Transactions on Fuzzy Systems / 16(2),428-441

Ÿ   Chiang JH, Ho SH / March 2008 / A Combination of Rough-Based Feature Selection and RBF Neural Network for Classification Using Gene Expression Data / IEEE Transactions on Nanobioscience / 7(1),91-99

Ÿ   Yin ZX, Chiang JH / January 2008 / Novel Algorithm for Coexpression Detection in Time-Varying Microarray Data Sets / IEEE-ACM Transactions on Computational Biology and Bioinformatics / 5(1),120-135

Ÿ   Chiang JH, Yin ZX / November 2007 / Unsupervised Minor Prototype Detection Using an Adaptive Population Partitioning Algorithm / Pattern Recognition Attern Recognition / 40(11),3132-3145

Ÿ   Chiang JH, Liu HS, Chao SY, Chen CY / November 2007 / Discovering Gene-Gene Relations from Sequential Sentence Patterns in Biomedical Literature / Expert Systems with Applications / 33(4),1036-1041

Ÿ   Hao PY, Chiang JH, Tu YK / October 2007 / Hierarchically SVM Classification Based on Support Vector Clustering Method and Its Application to Document Categorization / Expert Systems with Applications / 33(3),627-635

Ÿ   Hao PY, Chiang JH / March 2007 / A Fuzzy Model of Support Vector Regression Machine / International Journal of Fuzzy Systems / 9(1)45-50

Ÿ   Chiang JH, Chao SY / March 2007 / Modeling Human Cancer-Related Regulatory Modules by GA-RNN Hybrid Algorithms / BMC Bioinfoamatics / 8,91

Ÿ   Hao PY, Chiang JH / August 2006 / Pruning and Model-Selecting Algorithms in the RBF Frameworks Constructed by Support Vector Learning / International Journal of Neural Systems / 16(4),283-293

Ÿ   Chiang JH, Shin JW, Liu HH, Chin CL / August 2006 / GeneLibrarian: An Effective Gene-Information Summarization and Visualization System / BMC Bioinformatics / 7,392

Ÿ   Chiang JH, Yu HC / August 2005 / Literature Extraction of Protein Functions Using Sentence Pattern Mining / IEEE Transactions on Knowledge and Data Engineering / 17(8),1088-1098

Ÿ   Chiang JH, Yue SH, Yin ZX / April 2004 / A New Fuzzy Cover Approach to Clustering / IEEE Transactions on Fuzzy Systems / 12(2),199-208

Ÿ   Chiang JH, Chen YC / March 2004 / An Intelligent News Recommender Agent for Filtering and Categorizing Large Volumes of Text Corpus / International Journal of Intelligent Systems / 19(3),201-216

Ÿ   Chiang JH, Hao PY / February 2004 / Support Vector Learning Mechanism for Fuzzy Rule-based Modeling: A New Approach / IEEE Transactions on Fuzzy Systems / 12(1),1-12

Ÿ   Chiang JH, Yu HC, Hsu HJ / January 2004 / GIS: A Biomedical Text-mining System for Gene Information Discovery / Bioinfoamatics/ 20(1),120-121

Conference Papers

International Conference

Ÿ Pei-Chen Tsai, Tsung-Hua Lee, Kun-Chi Kuo, Fang-Yi Su, Tsung-Lu Michael Lee, Eliana Marostica, Tomotaka Ugai,

Melissa Zhao, Mai Chan Lau, Juha P Väyrynen, Marios Giannakis, Yasutoshi Takashima, Seyed Mousavi Kahaki, Kana

Wu, Mingyang Song, Jeffrey A Meyerhardt, Andrew T Chan, Jung-Hsien Chiang, Jonathan Nowak, Shuji Ogino, Kun-

Hsing Yu/ Apr 2023 / Histopathology Images Predict Multi-Omics Aberrations and Prognoses in Colorectal Cancer

Patients / Nature Communications / 14(1),2102

Ÿ Cong Phuoc Phan, Jung Hsien Chiang / December 2022 / COVID-19 Deep Clustering: An Ontology

Constructionclustering Method with Dynamic Medical Labeling / The 11th International Symposium on Information

and Communication Technology / 4(10),795734

Ÿ   Yu Wen Fang, Fang-Yi Su, Jung-Hsien Chiang / July 2022 / Position Classifier: Rethinking Position Encoding on Chest

X-ray Diseases Identification / Medical Imaging with Deep Learning 2022 Conference Short

Ÿ   Hsin-Hsiung Chang, Jung-Hsien Chiang, Cheng-Chung Chu / July 2021 / Data-Driven Generation of Medical-Research

Hypotheses in Cancer Patients / 2021 IEEE 45th Annual Computers, Software, and Applications Conference

(COMPSAC) / 626-631

Ÿ   Chi-Shiang Wang, Hung-Chun Chne, Jung-Hsien Chiang / November 2019 / Discovering What You Cared by

Intelligent Recommender System / 2019 International Conference on Technologies and Applications of Artificial

Intelligence (TAAI) / 19279541

Ÿ   Chi-Shiang Wang, Jung-Hsien Chiang / June 2019 / FuzzAttention on Session-Based Recommender System /

2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) / 2019,8858856

Ÿ   Wen-Chieh Fang, Meng-Che Hsieh, Pei-Ching Yang, Wen-Gan Li, Ching-Ju Chiu, Jung-Hsien Chiang / December

2015 / iDianNao: An Orange Technology that Recommends Volunteer Opportunities to Older Adults / 2015 International

Conference on Orange Technologies (ICOT) / 38-41

Ÿ   Galen Chin-Lun Hung, Pei-Ching Yang, Chen-Yi Wang, Jung-Hsien Chiang / December 2015 / A Smartphone-Based

Personalized Activity Recommender System for Patients with Depression / Proceedings of the 5th EAI International

Conference on Wireless Mobile Communication and Healthcare / 253-257

Ÿ   Yu-De Chen, Juin-Huang Ju, Ming-Yu Chien, Yu-Cheng Sheng, Tsung-Lu Lee, Jung-Hsien Chiang / September 2015 /

CoTri: Extracting Chemical-Disease Relations with Co-Reference Resolution and Common Trigger Words / Proceedings

of the Fifth BioCreative Challenge Evaluation Workshop / 286-291

Ÿ   Wen-Chieh Fang, Pei-Ching Yang, Meng-Che Hsieh, Jung-Hsien Chiang / January 2015 / iDianNao: Recommending

Volunteer Opportunities to Older Adults / International Conference on Industrial, Engineering and Other Applications

of Applied Intelligent Systems / 9101,683-691

Ÿ   Jiun-Huang Ju, Yu-De Chen, Jung-Hsien Chiang / April 2012 / DrTW: A Biomedical Term Weighting Method for

Document Recommendation / 2012 BioCreative Workshop / 45

Ÿ   Chao-Hsuan Ke, Tsung-Lu Michael Lee, Jung-Hsien Chiang/ April 2012 / C2HI: a Complete Chemical Information

Decision System / 2012 BioCreative Workshop / 52

Ÿ   Heng-Hui Liu, Yi-Ting Huang, Jung-Hsien Chiang / December 2010 / A study on Paragraph Ranking and

Recommendation by Topic Information Retrieval from Biomedical Literature / 2010 International Computer Symposium

(ICS2010) / 2010,859-864

Ÿ   Wei-Ming Chen, I-Lin Wu, Jung-Hsien Chiang, Pei-Yi Hao / July 2010 / Prediction of subcelluar localization using

maximal-margin spherical support vector machine / 2010 International Conference on Machine Learning and Cybernetics

/ 3,1476-1481

Ÿ   Shih-Yi Chao, Jung-Hsien Chiang / June 2006 / Reconstruct Feedback Control of Cell Cycle-Regulated Networks of the Yeast by Neural Network Computing / 2006 International Conference on Computing & Informatics / 10975495

Ÿ   Chiang JH, Shin JW, Liu HH, Chin CL / April 2006 / Patterns Discovery on Complex Diagnosis and Biological Data

Using Fuzzy Latent Variables / 2007 IEEE 23rd International Conference on Data Engineering / 576-585

Ÿ   Jung-Hsien Chiang, Hsu-Chun Yu / January 2004 / Extracting Functional Annotations of Proteins Based on Hybrid Text

Mining Approaches / Proc BioCreAtIvE Challenge Evaluation Workshop / 10024688058

National Science Council Projects

Constructing a Novel AI Training Pipeline: From Flexible Annotation Tool to Lifelong Learning II/2023-2025/NSTC

Study of a Novel Latent Diffusion Model for Improving Medical Image Quality and It's Applications in Cone-beam Computed Tomography based Image-Guided Radiotherapy/2023-2025/NSTC

Constructing a Novel AI Training Pipeline: From Flexible Annotation Tool to Lifelong Learning/2021-2023/MOST

Developing an Early Lung Solitary Nodules Detection System based on Contrastive Convolutional Uncertainty Attention Block Learning Framework/2021-2023/MOST

An intelligent robot to prevent medical staff from direct interaction with COVID 19 suspected patients and assists medical staff handling with unnecessary manual work/2020-2021/MOST

Constructing a Hybrid Interactive Learning-based Inference Mechanism for Homecare Robots and their Applications for Elderly Users and Patients with Diabetes /2018-2020/MOST

Constructing An Intelligent Deep Recurrent Neural Network and Semantic Analysis-based Recommender System from Heterogeneous Social Data/2017-2019/MOST

Building A Green Campus Computer Center and Cloud Computing Facility in NCKU/2015-2017/MOST

Identification of cancer stem cell surface markers by computational meta-analysis of the available flow cytometry and high-throughput ＇omics＇ data/2015-2017/MOST

Constructing A Novel Big Biodata Semantic Web Query Analysis Framework Towards the Identification of Drug Repurposing Opportunities/2014-2017/MOST

General Projects

Constructing a Deep Learning-based Model to Detect Lung Nodules from Chest X-ray Images/2021/MOHW

Building an Elders Information Based on Special Network/2014/ITRI

Students

博士班:

6th:Mu-Hung Tsai, Hui-O Chen

4rd:Liang-Cheng Chen

3nd:Pei-Chen Tsai, Cong-Phuoc Phan

2st:Fang-Yi Su

1st:I-Quan Chou, Yuk-Hing NG, I-Lian Tsai

碩士班:

2nd:Ching-Chieh Tsao, Tzu-Hung Chang, Yu-Hsuan Liu, Ngo Gia Han

1st:Guan-Yu Chen, Po-Chin Lin, Chang-Yi Yen, Phan Ben, Yi-Xuan Dong

Honor & Awards

• 2024 M.S. Yu-Hsuan Liu won the Honorable Mention in the AI Ware               Taiwan Generative Ai Applications Hackathon.
• 2023 Ph.D. Fang-Yi,Su & Pei-Chen,Tsai won the Second Place in                     Intracranial Tumor Segmentation (ICTS) .
  
• 2023 Ph.D. Cong-Phuoc Phan won the Third Place in BioCreative VIII.
• 2022 M.S. Yu-Wen Fang won the First Place and Creativity Award in the         Ministry of Education National AI Competition for Agricultural Article           Text Annotation and Recognition.
• 2022 UNESCO IRCAI  Excellent AI Team Globe Top 100
  
• 2021 UNESCO IRCAI Outstanding AI Team Globe Top 10 
  
• 2021 M.S. Li-Jin Huang won Honorable Mention Award in TSC Thesis            Award
•  2020 Ph.D. Chi-Shiang Wang, M.S. Huang-Pin Chiu, and M.S. Chao-               Yi Wu won the First prize in BuildforCOVID19 Global Online Hackathon
• 2019 Undergraduate Students Ling-Xuan Ying, Yu-Chieh Chou, and               Ping- Yu Lin won the Third Place Award in the Ministry of Education             National College AI CUP 2019 Biomedical Paper Automatic Analysis               Official Competition
• 2018 Ph.D. Chia-Jung Yang won Best Paper Award in International                 Computer Symposium
• 2015 Won the Second place in DREAM Challenge - Prostateb                         Cancer of world compitition. Invited to the United States to present the           findings at the RECOMB/ISCB conference
• 2015 Won the First place in DREAM ALS Stratification Prize4Life                 Challenge of world compitition. Invited to the United States to present             the findings at the RECOMB/ISCB conference
•  2013 Excellent results in BioCreative IV-Track 4- GO Task, with an                 invitation to present the findings in the United States and publication in           the conference proceedings
• 2012 Won the First place in 中華電信創新應用大賽, 行動應用校園組, 急救         指導
• 2012 Won the Third Place in 華義創新軟體, 競賽行動應用校園組,                    I-HOME 
• 2011 Won Mobileheros, Android使用者介面設計競賽, 勇闖烏迪島企業特       別獎 
• 2011 Won the Third Place of 行動應用校園組, Let's Point! in 中華電信創       新應用大賽
• 2011 Won Honorable Mention Award in 中華電信應用軟體大賽, 行動應         用遊戲校園組, 食材達人
• 2011 Won Honorable Mention Award in 中華電信應用軟體大賽, 行動應         用遊戲校園組, 享瘦大富翁
• 2010 Won Honorable Mention Award in 中華電信應用軟體大賽, 行動應         用組校園組, 我願意餵你 
• 2010 Won 校園菁英獎 in Mobileheros Android使用者介面設計競賽,               O~Sport 
• 2008 TEBMA Dissertation Award
  
• 2003 Ph.D. Pei-Yi Hao won Dragon Thesis Award
• 2001 Ph.D. Pei-Yi Hao won 6th TAAI Dissertation Award
• 2000 M.S. Heng-Siou Chang won Dragon Thesis Award

International Conference

• 2023 ANGEL Conference 
  
• 2023 BioCreative VIII
  
• 2023 Conference on File and Storage Technologies
  
• 2022 GIW2022 XXXI/ISCB-Asia V (International Conference on Genome Informatics), Chair
• 2022 MIDL (Medical Imaging with Deep Learning) Conference Short
• 2022 Global Health and Welfare Forum in Taiwan, Speaker 
• 2022APEC Conference on Digital Healthcare Innovation -- COVID-19 Response by Health Information Utilization, Speaker
• 2021 EuroAsia Smart Emergency and Critical Care, Speaker
• 2018 Data Storage, Management & Analytics User Conference, Accelerate
• 2018 AI PROJECTANIME International Conference
• 2017 Microsoft Information Center Summit
  
• 2017 7th EU Biomedical Electronic Conference
• 2017 MathWorks Asia Research Summit
• 2016 Advanced Cloud Technology and Data Center Symposium
• 2012-2014 International Conference on Genome Informatics (GIW)
•          2012, Chair
• 2014 The Design Conference for People Who Make Websites
• 2014 The IEEE World Congress on Computational Intelligence (IEEE WCCI)
• 2014 The 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining(PAKDD)
• 2013 IEEE Congress on Evolutionary Computation (IEEE CEC)
• 2013 International Conference on Electrical Engineering and Computer Sciences (EECS)
• 2010 Systems Biology and Bioinformatics Symposium
• 2003 Int’l Conference on Fuzzy Systems, PC member
• 2002 The ninth Bellman Continuum International Workshop on Uncertain Systems and Soft Computing, PC member
• 1999 Int’l Conference on Fuzzy Systems (IFSA'99) Financial, Co-chair
• 1998 IEEE Int’l Conference on Tools with Artificial Intelligence, PC member