Protein secondary structure prediction based on the amino acids conformational classification and neural network technique. - Guang-Zheng Zhang; De-Shuang Huang; Hong-Qiang Wang (ICASSP (5), 2004)

A Novel Hybrid GA/SVM System for Protein Sequences Classification. - Xing-Ming Zhao; De-Shuang Huang; Yiu-ming Cheung; Hong-Qiang Wang; Xin Huang (IDEAL, 2004)

Representation of DNA sequences with multiple resolutions and BP neural network based classification. - Xin Huang; De-Shuang Huang; Hong-Qiang Wang; Xing-Ming Zhao (IJCNN, 2004)

A feature_core and SVM-based algorithm for identification of bioprocess-specific genome features. - Hong-Qiang Wang; Deshuang Huang; Guang-Zheng Zhang; Xing-Ming Zhao (IJCNN, 2004)

A Novel Clustering Analysis Based on PCA and SOMs for Gene Expression Patterns. - Hong-Qiang Wang; De-Shuang Huang; Xing-Ming Zhao; Xin Huang (ISNN (2), 2004)

Predicting Protein-Protein Interaction Sites using Radial Basis Function Neural Networks. - Bing Wang 004; Hau-San Wong; Peng Chen 001; Hong-Qiang Wang; De-Shuang Huang (IJCNN, 2006)

A new technique for selecting features from protein sequences. - Xing-Ming Zhao; Ji-Xiang Du; Hong-Qiang Wang; Yunping Zhu; Yixue Li (Int. J. Pattern Recognit. Artif. Intell., 2006)

Regulation probability method for gene selection. - Hong-Qiang Wang; De-Shuang Huang (Pattern Recognit. Lett., 2006)

Graph-based consensus clustering for class discovery from gene expression data. - Zhiwen Yu 002; Hau-San Wong; Hong-Qiang Wang (Bioinform., 2007)

Extracting gene regulation information for cancer classification. - Hong-Qiang Wang; Hau-San Wong; De-Shuang Huang; Jun Shu (Pattern Recognit., 2007)

Exploring Protein Regulations with Regulatory Networks for Cancer Classification. - Hong-Qiang Wang; Hailong Zhu; Timothy T. C. Yip; William C. S. Cho; Roger K. C. Ngan; Stephen C. K. Law (BMEI (1), 2008)

Locally Linear Discriminant Embedding for Tumor Classification. - Chun-Hou Zheng 001; Bo Li 002; Lei Zhang 006; Hong-Qiang Wang (ICIC (2), 2008)

Constructing the Histogram Representation for Automatic Gridding of cDNA Microarray Images. - Hong-Qiang Wang; Hau-San Wong; Hailong Zhu (ICMB, 2008)

Constructing the gene regulation-level representation of microarray data for cancer classification. - Hau-San Wong; Hong-Qiang Wang (J. Biomed. Informatics, 2008)

A neural network-based biomarker association information extraction approach for cancer classification. - Hong-Qiang Wang; Hau-San Wong; Hailong Zhu; Timothy T. C. Yip (J. Biomed. Informatics, 2009)

Mining protein Regulatory Relationships Using Neural Network Methods for Early Prediction of SARS. - Hong-Qiang Wang; Hailong Zhu; Chunhou Zheng 001; Timothy T. C. Yip; William C. S. Cho; Stephen C. K. Law (J. Circuits Syst. Comput., 2009)

Feature relation network that can identify underlying data structure for effective pattern classification. - Hai Long Zhu; Hong-Qiang Wang (BIBM Workshops, 2010)

Method of regulatory network that can explore protein regulations for disease classification. - Hong-Qiang Wang; Hailong Zhu; William C. S. Cho; Timothy T. C. Yip; Roger K. C. Ngan; Stephen C. K. Law (Artif. Intell. Medicine, 2010)

A New Method for Identifying Cancer-Related Gene Association Patterns. - Hong-Qiang Wang; Xin-Ping Xie; Ding Li (ICIC (3), 2011)

A Pathway-Based Classification Method That Can Improve Microarray-Based Colorectal Cancer Diagnosis. - Hong-Qiang Wang; Xin-Ping Xie; Chun-Hou Zheng 001 (ICIC (3), 2011)

SLIM: a sliding linear model for estimating the proportion of true null hypotheses in datasets with dependence structures. - Hong-Qiang Wang; Lindsey K. Tuominen; Chung-Jui Tsai (Bioinform., 2011)

Discovering the transcriptional modules using microarray data by penalized matrix decomposition. - Jun Zhang 011; Chun-Hou Zheng 001; Jin-Xing Liu 001; Hong-Qiang Wang (Comput. Biol. Medicine, 2011)

Gene selection using independent variable group analysis for tumor classification. - Chun-Hou Zheng 001; Yanwen Chong; Hong-Qiang Wang (Neural Comput. Appl., 2011)

Extracting local information for identifying differentially expressed pathways. - Hong-Qiang Wang; Zengfu Wang; Chun-Hou Zheng 001 (FSKD, 2012)

A new method for identifying reliably correlated variables. - Xin-Ping Xie; Hong-Qiang Wang (FSKD, 2012)

A Novel Discretization Method for Microarray-Based Cancer Classification. - Ding Li; Rui Li; Hong-Qiang Wang (ICIC (1), 2012)

Protein-Protein Interaction Affinity Prediction Based on Interface Descriptors and Machine Learning. - Xueling Li; Min Zhu; Xiao-Lai Li; Hong-Qiang Wang; Shulin Wang (ICIC (2), 2012)

Protein-Protein Binding Affinity Prediction Based on an SVR Ensemble. - Xueling Li; Min Zhu; Xiao-Lai Li; Hong-Qiang Wang; Shulin Wang (ICIC (1), 2012)

A Markov chain model-based method for cancer classification. - Ding Li; Hong-Qiang Wang (ICNC, 2012)

A novel and efficient method for differential pathway identification. - Hong-Qiang Wang; Rui Li (BMEI, 2013)

Sparse Learning for Face Recognition with Social Context. - Jie Gui; Jian-Xun Mi; Ying-Ke Lei; Hong-Qiang Wang (IScIDE, 2013)

A survey of pattern classification-based methods for predicting survival time of lung cancer patients. - Bin Gan; Chun-Hou Zheng 001; Hong-Qiang Wang (BIBM, 2014)

Link-based identification of survival time-related biological pathways. - Hong-Mei Zheng; Gao-Jian Jing; Zirui Zhang; Hong-Qiang Wang (BIBM, 2014)

Biology-constrained gene expression discretization for cancer classification. - Hong-Qiang Wang; Gao-Jian Jing; Chunhou Zheng 001 (Neurocomputing, 2014)

jNMFMA: a joint non-negative matrix factorization meta-analysis of transcriptomics data. - Hong-Qiang Wang; Chun-Hou Zheng 001; Xing-Ming Zhao (Bioinform., 2015)

A regulation probability model-based meta-analysis of multiple transcriptomics data sets for cancer biomarker identification. - Xin-Ping Xie; Yu-Feng Xie; Hong-Qiang Wang (BMC Bioinform., 2017)

ctPath: Demixing pathway crosstalk effect from transcriptomics data for differential pathway identification. - Xin-Ping Xie; Bin Gan; Wulin Yang; Hong-Qiang Wang (J. Biomed. Informatics, 2017)

Adaptively capturing the heterogeneity of expression for cancer biomarker identification. - Xin-Ping Xie; Yu-Feng Xie; Yi-Tong Liu; Hong-Qiang Wang (BMC Bioinform., 2018)

Pest24: A large-scale very small object data set of agricultural pests for multi-target detection. - Qi-Jin Wang; Sheng-Yu Zhang; Shifeng Dong; Guang-Cai Zhang; Jin Yang; Rui Li; Hong-Qiang Wang (Comput. Electron. Agric., 2020)

Enhancing representation learning by exploiting effective receptive fields for object detection. - Qi-Jin Wang; Sheng-Yu Zhang; Yu Qian; Guang-Cai Zhang; Hong-Qiang Wang (Neurocomputing, 2022)

WRIM-Net: Wide-Ranging Information Mining Network for Visible-Infrared Person Re-Identification. - Yonggan Wu; Ling-Chao Meng; Yuan Zichao; Sixian Chan; Hong-Qiang Wang (CoRR, 2024)