Hong-Qiang Wang

Publication Activity (10 Years)

Years Active: 2004-2022
Publications (10 Years): 5

Top Topics

Gene Expression

Negative Matrix Factorization

Biological Pathways

Top Venues

Publications

Qi-Jin Wang, Sheng-Yu Zhang, Yu Qian, Guang-Cai Zhang, Hong-Qiang Wang
Enhancing representation learning by exploiting effective receptive fields for object detection. Neurocomputing 481 (2022)
Qi-Jin Wang, Sheng-Yu Zhang, Shi-Feng Dong, Guang-Cai Zhang, Jin Yang, Rui Li, Hong-Qiang Wang
Pest24: A large-scale very small object data set of agricultural pests for multi-target detection. Comput. Electron. Agric. 175 (2020)
Xin-Ping Xie, Yu-Feng Xie, Yi-Tong Liu, Hong-Qiang Wang
Adaptively capturing the heterogeneity of expression for cancer biomarker identification. BMC Bioinform. 19 (1) (2018)
Xin-Ping Xie, Yu-Feng Xie, Hong-Qiang Wang
A regulation probability model-based meta-analysis of multiple transcriptomics data sets for cancer biomarker identification. BMC Bioinform. 18 (1) (2017)
Xin-Ping Xie, Bin Gan, Wulin Yang, Hong-Qiang Wang
ctPath: Demixing pathway crosstalk effect from transcriptomics data for differential pathway identification. J. Biomed. Informatics 73 (2017)
Hong-Qiang Wang, Chun-Hou Zheng, Xing-Ming Zhao
NMFMA: a joint non-negative matrix factorization meta-analysis of transcriptomics data. Bioinform. 31 (4) (2015)
Bin Gan, Chun-Hou Zheng, Hong-Qiang Wang
A survey of pattern classification-based methods for predicting survival time of lung cancer patients. BIBM (2014)
Hong-Qiang Wang, Gao-Jian Jing, Chunhou Zheng
Biology-constrained gene expression discretization for cancer classification. Neurocomputing 145 (2014)
Hong-Mei Zheng, Gao-Jian Jing, Zirui Zhang, Hong-Qiang Wang
Link-based identification of survival time-related biological pathways. BIBM (2014)
Jie Gui, Jian-Xun Mi, Ying-Ke Lei, Hong-Qiang Wang
Sparse Learning for Face Recognition with Social Context. IScIDE (2013)
Hong-Qiang Wang, Rui Li
A novel and efficient method for differential pathway identification. BMEI (2013)
Hong-Qiang Wang, Zengfu Wang, Chun-Hou Zheng
Extracting local information for identifying differentially expressed pathways. FSKD (2012)
Xueling Li, Min Zhu, Xiao-Lai Li, Hong-Qiang Wang, Shulin Wang
Protein-Protein Binding Affinity Prediction Based on an SVR Ensemble. ICIC (1) (2012)
Xin-Ping Xie, Hong-Qiang Wang
A new method for identifying reliably correlated variables. FSKD (2012)
Ding Li, Hong-Qiang Wang
A Markov chain model-based method for cancer classification. ICNC (2012)
Ding Li, Rui Li, Hong-Qiang Wang
A Novel Discretization Method for Microarray-Based Cancer Classification. ICIC (1) (2012)
Xueling Li, Min Zhu, Xiao-Lai Li, Hong-Qiang Wang, Shulin Wang
Protein-Protein Interaction Affinity Prediction Based on Interface Descriptors and Machine Learning. ICIC (2) (2012)
Hong-Qiang Wang, Xin-Ping Xie, Ding Li
A New Method for Identifying Cancer-Related Gene Association Patterns. ICIC (3) (2011)
Chun-Hou Zheng, Yanwen Chong, Hong-Qiang Wang
Gene selection using independent variable group analysis for tumor classification. Neural Comput. Appl. 20 (2) (2011)
Jun Zhang, Chun-Hou Zheng, Jin-Xing Liu, Hong-Qiang Wang
Discovering the transcriptional modules using microarray data by penalized matrix decomposition. Comput. Biol. Medicine 41 (11) (2011)
Hong-Qiang Wang, Lindsey K. Tuominen, Chung-Jui Tsai
SLIM: a sliding linear model for estimating the proportion of true null hypotheses in datasets with dependence structures. Bioinform. 27 (2) (2011)
Hong-Qiang Wang, Xin-Ping Xie, Chun-Hou Zheng
A Pathway-Based Classification Method That Can Improve Microarray-Based Colorectal Cancer Diagnosis. ICIC (3) (2011)
Hong-Qiang Wang, Hailong Zhu, William C. S. Cho, Timothy T. C. Yip, Roger K. C. Ngan, Stephen C. K. Law
Method of regulatory network that can explore protein regulations for disease classification. Artif. Intell. Medicine 48 (2-3) (2010)
Hai Long Zhu, Hong-Qiang Wang
Feature relation network that can identify underlying data structure for effective pattern classification. BIBM Workshops (2010)
Hong-Qiang Wang, Hau-San Wong, Hailong Zhu, Timothy T. C. Yip
A neural network-based biomarker association information extraction approach for cancer classification. J. Biomed. Informatics 42 (4) (2009)
Hong-Qiang Wang, Hailong Zhu, Chunhou Zheng, Timothy T. C. Yip, William C. S. Cho, Stephen C. K. Law
Mining protein Regulatory Relationships Using Neural Network Methods for Early Prediction of SARS. J. Circuits Syst. Comput. 18 (8) (2009)
Chun-Hou Zheng, Bo Li, Lei Zhang, Hong-Qiang Wang
Locally Linear Discriminant Embedding for Tumor Classification. ICIC (2) (2008)
Hau-San Wong, Hong-Qiang Wang
Constructing the gene regulation-level representation of microarray data for cancer classification. J. Biomed. Informatics 41 (1) (2008)
Hong-Qiang Wang, Hailong Zhu, Timothy T. C. Yip, William C. S. Cho, Roger K. C. Ngan, Stephen C. K. Law
Exploring Protein Regulations with Regulatory Networks for Cancer Classification. BMEI (1) (2008)
Hong-Qiang Wang, Hau-San Wong, Hailong Zhu
Constructing the Histogram Representation for Automatic Gridding of cDNA Microarray Images. ICMB (2008)
Hong-Qiang Wang, Hau-San Wong, De-Shuang Huang, Jun Shu
Extracting gene regulation information for cancer classification. Pattern Recognit. 40 (12) (2007)
Zhiwen Yu, Hau-San Wong, Hong-Qiang Wang
Graph-based consensus clustering for class discovery from gene expression data. Bioinform. 23 (21) (2007)
Xing-Ming Zhao, Ji-Xiang Du, Hong-Qiang Wang, Yunping Zhu, Yixue Li
A new technique for selecting features from protein sequences. Int. J. Pattern Recognit. Artif. Intell. 20 (2) (2006)
Bing Wang, Hau-San Wong, Peng Chen, Hong-Qiang Wang, De-Shuang Huang
Predicting Protein-Protein Interaction Sites using Radial Basis Function Neural Networks. IJCNN (2006)
Hong-Qiang Wang, De-Shuang Huang
Regulation probability method for gene selection. Pattern Recognit. Lett. 27 (2) (2006)
Hong-Qiang Wang, De-Shuang Huang, Xing-Ming Zhao, Xin Huang
A Novel Clustering Analysis Based on PCA and SOMs for Gene Expression Patterns. ISNN (2) (2004)
Guang-Zheng Zhang, De-Shuang Huang, Hong-Qiang Wang
Protein secondary structure prediction based on the amino acids conformational classification and neural network technique. ICASSP (5) (2004)
Xing-Ming Zhao, De-Shuang Huang, Yiu-ming Cheung, Hong-Qiang Wang, Xin Huang
A Novel Hybrid GA/SVM System for Protein Sequences Classification. IDEAL (2004)