Hong-Qiang Wang

40 papers B 3C 1Misc 1Journal 18Unranked 17

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	WRIM-Net: Wide-Ranging Information Mining Network for Visible-Infrared Person Re-Identification. CoRR Yonggan Wu, Ling-Chao Meng, Yuan Zichao, Sixian Chan, Hong-Qiang Wang
2022	J	`jnl`	Enhancing representation learning by exploiting effective receptive fields for object detection. Neurocomputing Qi-Jin Wang, Sheng-Yu Zhang, Yu Qian, Guang-Cai Zhang, Hong-Qiang Wang
2020	J	`jnl`	Pest24: A large-scale very small object data set of agricultural pests for multi-target detection. Comput. Electron. Agric. Qi-Jin Wang, Sheng-Yu Zhang, Shifeng Dong, Guang-Cai Zhang, Jin Yang, Rui Li, Hong-Qiang Wang
2018	J	`jnl`	Adaptively capturing the heterogeneity of expression for cancer biomarker identification. BMC Bioinform. Xin-Ping Xie, Yufeng Xie, Yi-Tong Liu, Hong-Qiang Wang
2017	J	`jnl`	A regulation probability model-based meta-analysis of multiple transcriptomics data sets for cancer biomarker identification. BMC Bioinform. Xin-Ping Xie, Yufeng Xie, Hong-Qiang Wang
2017	J	`jnl`	ctPath: Demixing pathway crosstalk effect from transcriptomics data for differential pathway identification. J. Biomed. Informatics Xin-Ping Xie, Bin Gan, Wulin Yang, Hong-Qiang Wang
2014	—	`conf`	A survey of pattern classification-based methods for predicting survival time of lung cancer patients. BIBM Bin Gan, Chun-Hou Zheng, Hong-Qiang Wang
2014	J	`jnl`	Biology-constrained gene expression discretization for cancer classification. Neurocomputing Hong-Qiang Wang, Gao-Jian Jing, Chunhou Zheng
2014	—	`conf`	Link-based identification of survival time-related biological pathways. BIBM Hong-Mei Zheng, Gao-Jian Jing, Zirui Zhang, Hong-Qiang Wang
2013	—	`conf`	A novel and efficient method for differential pathway identification. BMEI Hong-Qiang Wang, Rui Li
2013	—	`conf`	Sparse Learning for Face Recognition with Social Context. IScIDE Jie Gui, Jian-Xun Mi, Ying-Ke Lei, Hong-Qiang Wang
2012	Misc	`conf`	A Markov chain model-based method for cancer classification. ICNC Ding Li, Hong-Qiang Wang
2012	—	`conf`	A Novel Discretization Method for Microarray-Based Cancer Classification. ICIC (1) Ding Li, Rui Li, Hong-Qiang Wang
2012	—	`conf`	A new method for identifying reliably correlated variables. FSKD Xin-Ping Xie, Hong-Qiang Wang
2012	—	`conf`	Extracting local information for identifying differentially expressed pathways. FSKD Hong-Qiang Wang, Zengfu Wang, Chun-Hou Zheng
2012	—	`conf`	Protein-Protein Binding Affinity Prediction Based on an SVR Ensemble. ICIC (1) Xueling Li, Min Zhu, Xiao-Lai Li, Hong-Qiang Wang, Shulin Wang
2012	—	`conf`	Protein-Protein Interaction Affinity Prediction Based on Interface Descriptors and Machine Learning. ICIC (2) Xueling Li, Min Zhu, Xiao-Lai Li, Hong-Qiang Wang, Shulin Wang
2011	—	`conf`	A New Method for Identifying Cancer-Related Gene Association Patterns. ICIC (3) Hong-Qiang Wang, Xin-Ping Xie, Ding Li
2011	—	`conf`	A Pathway-Based Classification Method That Can Improve Microarray-Based Colorectal Cancer Diagnosis. ICIC (3) Hong-Qiang Wang, Xin-Ping Xie, Chun-Hou Zheng
2011	J	`jnl`	Discovering the transcriptional modules using microarray data by penalized matrix decomposition. Comput. Biol. Medicine Jun Zhang, Chun-Hou Zheng, Jin-Xing Liu, Hong-Qiang Wang
2011	J	`jnl`	Gene selection using independent variable group analysis for tumor classification. Neural Comput. Appl. Chun-Hou Zheng, Yanwen Chong, Hong-Qiang Wang
2011	J	`jnl`	SLIM: a sliding linear model for estimating the proportion of true null hypotheses in datasets with dependence structures. Bioinform. Hong-Qiang Wang, Lindsey K. Tuominen, Chung-Jui Tsai
2010	—	`conf`	Feature relation network that can identify underlying data structure for effective pattern classification. BIBM Workshops Hai Long Zhu, Hong-Qiang Wang
2010	J	`jnl`	Method of regulatory network that can explore protein regulations for disease classification. Artif. Intell. Medicine Hong-Qiang Wang, Hailong Zhu, William C. S. Cho, Timothy T. C. Yip, Roger K. C. Ngan, Stephen C. K. Law
2009	J	`jnl`	A neural network-based biomarker association information extraction approach for cancer classification. J. Biomed. Informatics Hong-Qiang Wang, Hau-San Wong, Hailong Zhu, Timothy T. C. Yip
2009	J	`jnl`	Mining protein Regulatory Relationships Using Neural Network Methods for Early Prediction of SARS. J. Circuits Syst. Comput. Hong-Qiang Wang, Hailong Zhu, Chunhou Zheng, Timothy T. C. Yip, William C. S. Cho, Stephen C. K. Law
2008	—	`conf`	Constructing the Histogram Representation for Automatic Gridding of cDNA Microarray Images. ICMB Hong-Qiang Wang, Hau-San Wong, Hailong Zhu
2008	J	`jnl`	Constructing the gene regulation-level representation of microarray data for cancer classification. J. Biomed. Informatics Hau-San Wong, Hong-Qiang Wang
2008	—	`conf`	Exploring Protein Regulations with Regulatory Networks for Cancer Classification. BMEI (1) Hong-Qiang Wang, Hailong Zhu, Timothy T. C. Yip, William C. S. Cho, Roger K. C. Ngan, Stephen C. K. Law
2008	—	`conf`	Locally Linear Discriminant Embedding for Tumor Classification. ICIC (2) Chun-Hou Zheng, Bo Li, Lei Zhang, Hong-Qiang Wang
2007	J	`jnl`	Extracting gene regulation information for cancer classification. Pattern Recognit. Hong-Qiang Wang, Hau-San Wong, De-Shuang Huang, Jun Shu
2007	J	`jnl`	Graph-based consensus clustering for class discovery from gene expression data. Bioinform. Zhiwen Yu, Hau-San Wong, Hong-Qiang Wang
2006	J	`jnl`	A new technique for selecting features from protein sequences. Int. J. Pattern Recognit. Artif. Intell. Xing-Ming Zhao, Ji-Xiang Du, Hong-Qiang Wang, Yunping Zhu, Yixue Li
2006	B	`conf`	Predicting Protein-Protein Interaction Sites using Radial Basis Function Neural Networks. IJCNN Bing Wang, Hau-San Wong, Peng Chen, Hong-Qiang Wang, De-Shuang Huang
2006	J	`jnl`	Regulation probability method for gene selection. Pattern Recognit. Lett. Hong-Qiang Wang, De-Shuang Huang
2004	—	`conf`	A Novel Clustering Analysis Based on PCA and SOMs for Gene Expression Patterns. ISNN (2) Hong-Qiang Wang, De-Shuang Huang, Xing-Ming Zhao, Xin Huang
2004	C	`conf`	A Novel Hybrid GA/SVM System for Protein Sequences Classification. IDEAL Xing-Ming Zhao, De-Shuang Huang, Yiu-ming Cheung, Hong-Qiang Wang, Xin Huang
2004	B	`conf`	A feature_core and SVM-based algorithm for identification of bioprocess-specific genome features. IJCNN Hong-Qiang Wang, Deshuang Huang, Guang-Zheng Zhang, Xing-Ming Zhao
2004	—	`conf`	Protein secondary structure prediction based on the amino acids conformational classification and neural network technique. ICASSP (5) Guang-Zheng Zhang, De-Shuang Huang, Hong-Qiang Wang
2004	B	`conf`	Representation of DNA sequences with multiple resolutions and BP neural network based classification. IJCNN Xin Huang, De-Shuang Huang, Hong-Qiang Wang, Xing-Ming Zhao