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2020 – today
- 2024
[i1]Yonggan Wu, Ling-Chao Meng, Yuan Zichao, Sixian Chan, Hong-Qiang Wang:
WRIM-Net: Wide-Ranging Information Mining Network for Visible-Infrared Person Re-Identification. CoRR abs/2408.10624 (2024)- 2022
- [j18]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: 22-32 (2022) - 2020
- [j17]Qi-Jin Wang, Sheng-Yu Zhang, Shifeng 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: 105585 (2020)
2010 – 2019
- 2018
- [j16]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): 401:1-401:12 (2018) - 2017
- [j15]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): 375 (2017) - [j14]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: 104-114 (2017) - 2015
- [j13]Hong-Qiang Wang, Chun-Hou Zheng, Xing-Ming Zhao:
jNMFMA: a joint non-negative matrix factorization meta-analysis of transcriptomics data. Bioinform. 31(4): 572-580 (2015) - 2014
- [j12]Hong-Qiang Wang, Gao-Jian Jing, Chunhou Zheng:
Biology-constrained gene expression discretization for cancer classification. Neurocomputing 145: 30-36 (2014) - [c20]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: 5-12 - [c19]Hong-Mei Zheng, Gao-Jian Jing, Zirui Zhang, Hong-Qiang Wang:
Link-based identification of survival time-related biological pathways. BIBM 2014: 39-45 - 2013
- [c18]Hong-Qiang Wang, Rui Li:
A novel and efficient method for differential pathway identification. BMEI 2013: 449-454 - [c17]Jie Gui, Jian-Xun Mi, Ying-Ke Lei, Hong-Qiang Wang:
Sparse Learning for Face Recognition with Social Context. IScIDE 2013: 820-826 - 2012
- [c16]Xin-Ping Xie, Hong-Qiang Wang:
A new method for identifying reliably correlated variables. FSKD 2012: 765-769 - [c15]Hong-Qiang Wang, Zengfu Wang, Chun-Hou Zheng:
Extracting local information for identifying differentially expressed pathways. FSKD 2012: 1109-1113 - [c14]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: 145-151 - [c13]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: 205-212 - [c12]Ding Li, Rui Li, Hong-Qiang Wang:
A Novel Discretization Method for Microarray-Based Cancer Classification. ICIC (1) 2012: 327-333 - [c11]Ding Li, Hong-Qiang Wang:
A Markov chain model-based method for cancer classification. ICNC 2012: 1064-1068 - 2011
- [j11]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): 225-231 (2011) - [j10]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): 1041-1050 (2011) - [j9]Chun-Hou Zheng, Yanwen Chong, Hong-Qiang Wang:
Gene selection using independent variable group analysis for tumor classification. Neural Comput. Appl. 20(2): 161-170 (2011) - [c10]Hong-Qiang Wang, Xin-Ping Xie, Ding Li:
A New Method for Identifying Cancer-Related Gene Association Patterns. ICIC (3) 2011: 115-122 - [c9]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: 610-617 - 2010
- [j8]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): 119-127 (2010) - [c8]Hai Long Zhu, Hong-Qiang Wang:
Feature relation network that can identify underlying data structure for effective pattern classification. BIBM Workshops 2010: 531-534
2000 – 2009
- 2009
- [j7]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): 654-666 (2009) - [j6]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): 1397-1407 (2009) - 2008
- [j5]Hau-San Wong, Hong-Qiang Wang:
Constructing the gene regulation-level representation of microarray data for cancer classification. J. Biomed. Informatics 41(1): 95-105 (2008) - [c7]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: 133-137 - [c6]Chun-Hou Zheng, Bo Li, Lei Zhang, Hong-Qiang Wang:
Locally Linear Discriminant Embedding for Tumor Classification. ICIC (2) 2008: 1093-1100 - [c5]Hong-Qiang Wang, Hau-San Wong, Hailong Zhu:
Constructing the Histogram Representation for Automatic Gridding of cDNA Microarray Images. ICMB 2008: 248-255 - 2007
- [j4]Zhiwen Yu, Hau-San Wong, Hong-Qiang Wang:
Graph-based consensus clustering for class discovery from gene expression data. Bioinform. 23(21): 2888-2896 (2007) - [j3]Hong-Qiang Wang, Hau-San Wong, De-Shuang Huang, Jun Shu:
Extracting gene regulation information for cancer classification. Pattern Recognit. 40(12): 3379-3392 (2007) - 2006
- [j2]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): 271-283 (2006) - [j1]Hong-Qiang Wang, De-Shuang Huang:
Regulation probability method for gene selection. Pattern Recognit. Lett. 27(2): 116-122 (2006) - [c4]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: 2325-2330 - 2004
- [c3]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: 573-576 - [c2]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: 11-16 - [c1]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: 476-481
Coauthor Index
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