Advisor



Distinguished Professor
Dept. of Computer Science and Information Engineering
National Cheng Kung University, Tainan, Taiwan
TEL: +886-6-275-7575 ext.62534
FAX: +886-6-274-7076
E-mail: jchiang@mail.ncku.edu.tw
Research Interests:

Biography

  • Biomedical Information Retrieval
  • Artificial Intelligence
  • Mobile Computing
  • Computational Intelligence
  • Cloud Healthcare
  • Cancer and Stem Cell Research
  • Big data Analysis

Dr. Jung-Hsien Chiang received his M.S. and Ph.D. degrees in computer engineering from the University of Missouri, Columbia, in 1991 and 1995, respectively. He worked as a researcher at the Computer and Communication Laboratory, Industrial Technology Research Institute, the largest information technology research institute in Taiwan. He joined the faculty of the National Cheng Kung University Computer Science and Information Engineering in February 1999 and is currently a professor of the department.

He performed his first research in computational intelligence in 1995 when he developed on algorithms for multimedia information server in cyber community. He led teams involved in the development of adaptive real-time multimedia transmission mechanism in intelligent gateway for D-Link Inc. in Taiwan. He developed and implemented fuzzy set based algorithms for user profiling and data mining. Dr. Chiang and his students created the technological foundation for the interpretations of fuzzy clustering by two novel algorithms based on support vectors, “adaptive cell growing” and “fuzzy cover”, which use competitive multisphere cells and fuzzy proximate functions for the iterative learning process respectively. The algorithms facilitate the exploration of grouping and separation uncertainty in producing meaningful interpretations of structure in the data. This research has been cited more than 400 times in Google Scholar.

In the early 2000s Chiang and his colleagues began exploring the idea of fuzzy algorithms in bioinformatics. Dr. Chiang’s prior research in bioinformatics has focused on intelligent text mining. He has contributed new techniques for developing biomedical text mining models, including data analytics, pattern extraction and literature classification. This leads to implementation of software prototypes to assist biomedical researchers in rapidly extracting useful knowledge from huge number of biomedical documents and to improve understanding of gene function annotation in the Human Genome Project. In 2003 the team was able to provide the available open source and the results have been published in Bioinformatics (Oxford University Press). This was the first study on the developing an ontology-based textmining system to efficiently extract knowledge from biomedical literature about the functions of gene products, and the web service has been utilized by more than 20 research teams and accessed more than 5,000 times since 2003.

His current research interests include fuzzy modeling in bioinformatics, text mining, pattern clustering, and modeling of systems biology problems. The research team he leads has cooperated with the Institute for Systems Biology (ISB) in Seattle, one of the top biomedical research organizations in the world. By combining its specialty in bioinformatics and computational biology, they assist the researchers in ISB to find either possible innovatively cancer related mechanisms or obtain a great quantity of experimental data for further analysis.

Publications

  1. 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/ 17(1),1-12
  2. 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
  3. Hsin-Hsiung Chang, Jung-Hsien Chiang, Chun-Chieh Tsai, Ping-Fang Chiu/ June 2023 / Predicting Hyperkalemia in Patients with Advanced Chronic Kidney Disease Using the XGBoost Model / BMC nephrology / 24(1),169
  4. 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 Patients / Nature Communications / 14(1),2102
  5. Cong Phuoc Phan, Jung Hsien Chiang / December 2022 / COVID-19 Deep Clustering: An Ontology Construction Clustering Method with Dynamic Medical Labeling / The 11th International Symposium on Information and Communication Technology / 4(10),795734
  6. 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
  7. 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
  8. Pei-Yi Hao, Jung-Hsien Chiang, Yu-De Chen / May 2022 / Possibilistic Classification by Support Vector Networks / Neural Networks / 149,40-56
  9. 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
  10. 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 / 35(4),3404-3418
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. Chi-Shiang Wang, Fang-Yi Su, Tsung-Lu Michael Lee, Yi-Shan Tsai, Jung-Hsien Chiang / May 2021 / CUAB: Convolutional Uncertainty Attention Block Enhanced the Chest X-ray Image Analysis / arXiv preprint arXiv:2105.01840 / https://doi.org/10.48550/arXiv.2105.01840
  19. 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
  20. 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
  21. 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 / Circulation / 142(16),1510-1520
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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 
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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 
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. Jung-Hsien Chiang , Lin Chan-Hsien / March 2014 / NCS: Incorporating Positioning Data to Quantify Nucleosome Stability in Yeast / Bioinformatics / 30(6),761-767
  46. 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
  47. 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
  48. 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
  49. 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
  50. 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
  51. 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
  52. 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
  53. 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
  54. 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
  55. 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
  56. 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
  57. Chiang JH,Liu HH, Huang YT / April 2011 / Condensing Biomedical Journal Texts through Paragraph Ranking / Bioinformatics / 27(8),1143-1149
  58. Chao SY, Chiang JH, Huang AM, Chang WS / March 2011 / An Integrative Approach to Identifying Cancer Chemoresistance-Associated Pathways / BMC Medical Genomics / 4,23
  59. 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
  60. 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
  61. 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
  62. 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
  63. 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
  64. 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
  65. 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
  66. 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
  67. Jung-Hsien Chiang / September 2009 / Tech-Ware: Bioinformatics and Computational Biology Resources [Best of the Web] / IEEE Signal Processing Magazine / 26(5),153-158
  68. Hao PY, Chiang JH, Lin YH / 2009 / A New Maximal-margin Spherical-structured Multi-Class Support Vector Machine / Applied Intelligence / 30(2) 98-111
  69. 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
  70. 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
  71. 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
  72. 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
  73. Hao PY, Chiang JH / April 2008 / Fuzzy Regression Analysis by Support Vector Learning Approach / IEEE Transactions on Fuzzy Systems / 16(2),428-441
  74. 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
  75. 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
  76. Chiang JH, Yin ZX / November 2007 / Unsupervised Minor Prototype Detection Using an Adaptive Population Partitioning Algorithm / Pattern Recognition / 40(11),3132-3145
  77. 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
  78. 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
  79. Hao PY, Chiang JH / March 2007 / A Fuzzy Model of Support Vector Regression Machine / International Journal of Fuzzy Systems / 9(1)45-50
  80. Chiang JH, Chao SY / March 2007 / Modeling Human Cancer-related Regulatory Modules by GA-RNN Hybrid Algorithms / BMC Bioinformatics / 8,91
  81. 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
  82. Chiang JH, Shin JW, Liu HH, Chin CL / August 2006 / GeneLibrarian: An Effective Gene-information Summarization and Visualization System / BMC Bioinformatics / 7,392
  83. 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
  84. Chiang JH, Yue SH, Yin ZX / April 2004 / A New Fuzzy Cover Approach to Clustering / IEEE Transactions on Fuzzy Systems / 12(2),199-208
  85. 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
  86. 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
  87. Chiang JH, Yu HC, Hsu HJ / January 2004 / GIS: A Biomedical Text-Mining System for Gene Information Discovery / Bioinformatics / 20(1),120-121