Jung-Hsien Chiang

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 21

Top Topics

Cancer Patients

Biomedical Literature

Top Venues

Database J. Biol. Databases Curation

Briefings Bioinform.

Publications

Rezarta Islamaj, Po-Ting Lai, Chih-Hsuan Wei, Ling Luo, Tiago Almeida, Richard A. A. Jonker, Sofia I R. Conceição, Diana F. Sousa, Cong-Phuoc Phan, Jung-Hsien Chiang, Jiru Li, Dinghao Pan, Wilailack Meesawad, Richard Tzong-Han Tsai, M. Janina Sarol, Gibong Hong, Airat Valiev, Elena Tutubalina, Shao-Man Lee, Yi-Yu Hsu, Mingjie Li, Karin Verspoor, Zhiyong Lu
The overview of the BioRED (Biomedical Relation Extraction Dataset) track at BioCreative VIII. Database J. Biol. Databases Curation 2024 (2024)
Jung-Hsien Chiang, Chung-Yao Ma, Chi-Shiang Wang, Pei-Yi Hao
An Adaptive, Context-Aware, and Stacked Attention Network-Based Recommendation System to Capture Users' Temporal Preference. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Cong-Phuoc Phan, Jung-Hsien Chiang
COVID-19 Deep Clustering: An Ontology construction clustering method with dynamic medical labeling. SoICT (2022)
Chi-Shiang Wang, Fang-Yi Su, Jung-Hsien Chiang
MedCheX: An Efficient COVID-19 Detection Model for Clinical Usage. J. Inf. Sci. Eng. 38 (4) (2022)
Sina Abdollahi, Peng-Chan Lin, Jung-Hsien Chiang
DiaDeL: An Accurate Deep Learning-Based Model With Mutational Signatures for Predicting Metastasis Stage and Cancer Types. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (3) (2022)
Pei-Yi Hao, Jung-Hsien Chiang, Yu-De Chen
Possibilistic classification by support vector networks. Neural Networks 149 (2022)
Yang Tai, Yu-Wen Fang, Fang-Yi Su, Jung-Hsien Chiang
A Deep Learning Based Workflow for Detection of Lung Nodules With Chest Radiograph. CoRR (2021)
Hsin-Hsiung Chang, Jung-Hsien Chiang, Cheng-Chung Chu
Data-Driven Generation of Medical-Research Hypotheses in Cancer Patients. COMPSAC (2021)
Chi-Shiang Wang, Fang-Yi Su, Tsung-Lu Michael Lee, Yi-Shan Tsai, Jung-Hsien Chiang
CUAB: Convolutional Uncertainty Attention Block Enhanced the Chest X-ray Image Analysis. CoRR (2021)
Sina Abdollahi, Peng-Chan Lin, Jung-Hsien Chiang
WinBinVec: Cancer-Associated Protein-Protein Interaction Extraction and Identification of 20 Various Cancer Types and Metastasis Using Different Deep Learning Models. IEEE J. Biomed. Health Informatics 25 (10) (2021)
Chi-Shiang Wang, Bo-Syun Chen, Jung-Hsien Chiang
TDD-BPR: The topic diversity discovering on Bayesian personalized ranking for personalized recommender system. Neurocomputing 441 (2021)
Sina Abdollahi, Peng-Chan Lin, Meng-Ru Shen, Jung-Hsien Chiang
Precise uncertain significance prediction using latent space matrix factorization models: genomics variant and heterogeneous clinical data-driven approaches. Briefings Bioinform. 22 (4) (2021)
Chi-Shiang Wang, Hung-Chun Chne, Jung-Hsien Chiang
Discovering What You Cared by Intelligent Recommender System. TAAI (2019)
Pei-Yi Hao, Weng-Hang Cheang, Jung-Hsien Chiang
Real-time event embedding for POI recommendation. Neurocomputing 349 (2019)
Chi-Shiang Wang, Jung-Hsien Chiang
FuzzAttention on Session-based Recommender System. FUZZ-IEEE (2019)
Chia-Jung Yang, Jung-Hsien Chiang
Cateye: A Hint-Enabled Search Engine Framework for Biomedical Classification Systems. ICS (2018)
Chia-Jung Yang, Jung-Hsien Chiang
Gene ontology concept recognition using named concept: understanding the various presentations of the gene functions in biomedical literature. Database J. Biol. Databases Curation 2018 (2018)
Jui-Hung Chang, Chen-En Tsai, Jung-Hsien Chiang
Using Heterogeneous Social Media as Auxiliary Information to Improve Hotel Recommendation Performance. IEEE Access 6 (2018)
Hsih-te Yang, Jiun-Huang Ju, Yue-Ting Wong, Ilya Shmulevich, Jung-Hsien Chiang
Literature-based discovery of new candidates for drug repurposing. Briefings Bioinform. 18 (3) (2017)
Chao-Hsuan Ke, Tsung-Lu Michael Lee, Jung-Hsien Chiang
Condensedly: comprehending article contents through condensed texts. CoRR (2016)
Galen Chin-Lun Hung, Pei-Ching Yang, Chen-Yi Wang, Jung-Hsien Chiang
A Smartphone-Based Personalized Activity Recommender System for Patients with Depression. EAI Endorsed Trans. Cogn. Commun. 2 (9) (2016)
Pei-Ching Yang, Shiang-Chiuan Su, I-Lin Wu, Jung-Hsien Chiang
Life Record: A Smartphone-Based Daily Activity Monitoring System. ICSI (2) (2015)
Wen-Chieh Fang, Pei-Ching Yang, Meng-Che Hsieh, Jung-Hsien Chiang
iDianNao: Recommending Volunteer Opportunities to Older Adults. IEA/AIE (2015)
Jung-Hsien Chiang, Jiun-Huang Ju
Discovering novel protein-protein interactions by measuring the protein semantic similarity from the biomedical literature. J. Bioinform. Comput. Biol. 12 (6) (2014)
Jung-Hsien Chiang, Chan-Hsien Lin
NCS: incorporating positioning data to quantify nucleosome stability in yeast. Bioinform. 30 (6) (2014)
Jung-Hsien Chiang, Pei-Ching Yang, Hsuan Tu
Pattern analysis in daily physical activity data for personal health management. Pervasive Mob. Comput. 13 (2014)
Pei-Ching Yang, Chia-Chi Chang, Yen-Lin Chen, Jung-Hsien Chiang, Galen Chin-Lun Hung
Portable Assessment of Emotional Status and Support System. HIS (2014)
Yuqing Mao, Kimberly Van Auken, Donghui Li, Cecilia N. Arighi, Peter McQuilton, G. Thomas Hayman, Susan Tweedie, Mary L. Schaeffer, Stanley J. F. 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 Lu
Overview of the gene ontology task at BioCreative IV. Database J. Biol. Databases Curation 2014 (2014)
Wan-Shu Cheng, Jung-Hsien Chiang
CGPredictor: a systematic integrated analytic tool for mining and examining genome-scale cancer independent prognostic epigenetic marker panels. BMC Syst. Biol. 7 (S-6) (2013)
Wei-Ming Chen, Samuel A. Danziger, Jung-Hsien Chiang, John D. Aitchison
PhosphoChain: a novel algorithm to predict kinase and phosphatase networks from high-throughput expression data. Bioinform. 29 (19) (2013)
Tsung-Lu Michael Lee, Jung-Hsien Chiang
A Systems Biology Approach to Solving the Puzzle of Unknown Genomic Gene-Function Association Using Grid-Ready SVM Committee Machines. IEEE Comput. Intell. Mag. 7 (4) (2012)
Darby Tien-Hao Chang, Chao-Hsuan Ke, Jung-Hsin Lin, Jung-Hsien Chiang
AutoBind: automatic extraction of protein-ligand-binding affinity data from biological literature. Bioinform. 28 (16) (2012)
Jung-Hsien Chiang, Heng-Hui Liu, Yi-Ting Huang
Condensing biomedical journal texts through paragraph ranking. Bioinform. 27 (8) (2011)
Jung-Hsien Chiang, Jou-Wei Lin, Chen-Wei Yang
Automated evaluation of electronic discharge notes to assess quality of care for cardiovascular diseases using Medical Language Extraction and Encoding System (MedLEE). J. Am. Medical Informatics Assoc. 17 (3) (2010)
Wei-Ming Chen, I-Lin Wu, Jung-Hsien Chiang, Pei-Yi Hao
Prediction of subcelluar localization using maximal-margin spherical support vector machine. ICMLC (2010)
Pei-Yi Hao, Jung-Hsien Chiang, Yen-Hsiu Lin
A new maximal-margin spherical-structured multi-class support vector machine. Appl. Intell. 30 (2) (2009)
Yung-Chun Chang, Pei-Ching Yang, Jung-Hsien Chiang
Ontology-Based Intelligent Web Mining Agent for Taiwan Travel. Web Intelligence/IAT Workshops (2009)
Pei-Yi Hao, Jung-Hsien Chiang
Fuzzy Regression Analysis by Support Vector Learning Approach. IEEE Trans. Fuzzy Syst. 16 (2) (2008)
Jung-Hsien Chiang, Shing-Hua Ho, Wen-Hung Wang
Similar genes discovery system (SGDS): Application for predicting possible pathways by using GO semantic similarity measure. Expert Syst. Appl. 35 (3) (2008)
Jung-Hsien Chiang, Tsung-Lu Michael Lee
In Silico Prediction of Human Protein Interactions Using Fuzzy-SVM Mixture Models and Its Application to Cancer Research. IEEE Trans. Fuzzy Syst. 16 (4) (2008)
Zong-Xian Yin, Jung-Hsien Chiang
Novel Algorithm for Coexpression Detection in Time-Varying Microarray Data Sets. IEEE ACM Trans. Comput. Biol. Bioinform. 5 (1) (2008)
Zong-Xian Yin, Jung-Hsien Chiang
Patterns Discovery on Complex Diagnosis and Biological Data Using Fuzzy Latent Variables. ICDE (2007)
Jung-Hsien Chiang, Zong-Xian Yin
Unsupervised minor prototype detection using an adaptive population partitioning algorithm. Pattern Recognit. 40 (11) (2007)
Jung-Hsien Chiang, Shih-Yi Chao
Modeling human cancer-related regulatory modules by GA-RNN hybrid algorithms. BMC Bioinform. 8 (2007)
Jung-Hsien Chiang, Hsiao-Sheng Liu, Shih-Yi Chao, Cheng-Yu Chen
Discovering gene-gene relations from sequential sentence patterns in biomedical literature. Expert Syst. Appl. 33 (4) (2007)
Pei-Yi Hao, Jung-Hsien Chiang, Yi-Kun Tu
Hierarchically SVM classification based on support vector clustering method and its application to document categorization. Expert Syst. Appl. 33 (3) (2007)
Pei-Yi Hao, Jung-Hsien Chiang
Pruning and Model-selecting Algorithms in the Rbf Frameworks Constructed by Support Vector Learning. Int. J. Neural Syst. 16 (4) (2006)
Jung-Hsien Chiang, Jyh-Wei Shin, Heng-Hui Liu, Chong-Liang Chin
GeneLibrarian: an effective gene-information summarization and visualization system. BMC Bioinform. 7 (2006)
Jung-Hsien Chiang, Hsu-Chun Yu
Literature Extraction of Protein Functions Using Sentence Pattern Mining. IEEE Trans. Knowl. Data Eng. 17 (8) (2005)
Jung-Hsien Chiang, Pei-Yi Hao
Support vector learning mechanism for fuzzy rule-based modeling: a new approach. IEEE Trans. Fuzzy Syst. 12 (1) (2004)
Jung-Hsien Chiang, Zong-Xian Yin, Cheng-Yu Chen
Discovering gene-gene relations from fuzzy sequential sentence patterns in biomedical literature. FUZZ-IEEE (2004)
Jung-Hsien Chiang, Hsu-Chun Yu, Huai-Jen Hsu
GIS: a biomedical text-mining system for gene information discovery. Bioinform. 20 (1) (2004)
Jung-Hsien Chiang, Shihong Yue, Zong-Xian Yin
A new fuzzy cover approach to clustering. IEEE Trans. Fuzzy Syst. 12 (2) (2004)
Jung-Hsien Chiang, Yan-Cheng Chen
An intelligent news recommender agent for filtering and categorizing large volumes of text corpus. Int. J. Intell. Syst. 19 (3) (2004)
Jung-Hsien Chiang, Pei-Yi Hao
A new kernel-based fuzzy clustering approach: support vector clustering with cell growing. IEEE Trans. Fuzzy Syst. 11 (4) (2003)
Pei-Yi Hao, Jung-Hsien Chiang
A fuzzy model of support vector machine regression. FUZZ-IEEE (2003)
Jung-Hsien Chiang, Hsu-Chun Yu
MeKE: Discovering the Functions of Gene Products from Biomedical Literature Via Sentence Alignment. Bioinform. 19 (11) (2003)
Jung-Hsien Chiang, Yan-Cheng Chen
Incorporating fuzzy operators in the decision network to improve classification reliability. Comput. Electr. Eng. 28 (6) (2002)
Yan-Cheng Chen, Jung-Hsien Chiang
基於階層式類神經網路之自動新聞文件分類方法 (Hierarchical Neural Networks for Automatic News Document Categorization) [In Chinese]. ROCLING (2001)
Jung-Hsien Chiang, Yan-Chang Chen
Hierarchical Fuzzy-KNN Networks for News Documents Categorization. FUZZ-IEEE (2001)
Yau-Hwang Kuo, Mong-Fong Horng, Jung-Hsien Chiang
An Adaptive Fuzzy Clustering Technique for Traffic Prediction of Packet-switched Networks. J. Adv. Comput. Intell. Intell. Informatics 5 (3) (2001)
Jung-Hsien Chiang, Yau-Hwang Kuo
Learning Decision Functions in Fuzzy g-Models. Int. J. Artif. Intell. Tools 9 (4) (2000)
Jung-Hsien Chiang
Aggregating membership values by a Choquet-fuzzy-integral based operator. Fuzzy Sets Syst. 114 (3) (2000)
Jung-Hsien Chiang
Network-based decision making via generalized fuzzy integral operators. Int. J. Intell. Syst. 14 (7) (1999)
Ali Koksal Hocaoglu, Paul D. Gader, Jung-Hsien Chiang
Comments on "Choquet fuzzy integral-based hierarchical networks for decision analysis" [and reply]. IEEE Trans. Fuzzy Syst. 7 (6) (1999)
Jung-Hsien Chiang
Author's reply. IEEE Trans. Fuzzy Syst. 7 (6) (1999)
Jung-Hsien Chiang
Choquet fuzzy integral-based hierarchical networks for decision analysis. IEEE Trans. Fuzzy Syst. 7 (1) (1999)
Jung-Hsien Chiang
A Fuzzy Route Guidance Model for Intelligent In-Vehicle Navigation Systems. Int. J. Artif. Intell. Tools 8 (2) (1999)
Jung-Hsien Chiang
A hybrid neural network model in handwritten word recognition. Neural Networks 11 (2) (1998)
Paul D. Gader, James M. Keller, Raghu Krishnapuram, Jung-Hsien Chiang, Magdi A. Mohamed
Neural and Fuzzy Methods in Handwriting Recognition. Computer 30 (2) (1997)
Paul D. Gader, Magdi A. Mohamed, Jung-Hsien Chiang
Handwritten word recognition with character and inter-character neural networks. IEEE Trans. Syst. Man Cybern. Part B 27 (1) (1997)
Jung-Hsien Chiang, Paul D. Gader
Recognition of handprinted numerals in VISA® card application forms. Mach. Vis. Appl. 10 (3) (1997)
Jung-Hsien Chiang, Paul D. Gader
Hybrid fuzzy-neural systems in handwritten word recognition. IEEE Trans. Fuzzy Syst. 5 (4) (1997)
Jung-Hsien Chiang, Paul D. Gader
A hybrid feature extraction framework for handwritten numeric fields recognition. ICPR (1996)
Paul D. Gader, Magdi A. Mohamed, Jung-Hsien Chiang
Comparison of crisp and fuzzy character neural networks in handwritten word recognition. IEEE Trans. Fuzzy Syst. 3 (3) (1995)