Hong-Qiang Wang

According to our database1, Hong-Qiang Wang authored at least 38 papers between 2004 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Enhancing representation learning by exploiting effective receptive fields for object detection.
Neurocomputing, 2022

2020
Pest24: A large-scale very small object data set of agricultural pests for multi-target detection.
Comput. Electron. Agric., 2020

2018
Adaptively capturing the heterogeneity of expression for cancer biomarker identification.
BMC Bioinform., 2018

2017
ctPath: Demixing pathway crosstalk effect from transcriptomics data for differential pathway identification.
J. Biomed. Informatics, 2017

A regulation probability model-based meta-analysis of multiple transcriptomics data sets for cancer biomarker identification.
BMC Bioinform., 2017

2015
<i>j</i>NMFMA: a joint non-negative matrix factorization meta-analysis of transcriptomics data.
Bioinform., 2015

2014
Biology-constrained gene expression discretization for cancer classification.
Neurocomputing, 2014

Link-based identification of survival time-related biological pathways.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

A survey of pattern classification-based methods for predicting survival time of lung cancer patients.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013
Sparse Learning for Face Recognition with Social Context.
Proceedings of the Intelligence Science and Big Data Engineering, 2013

A novel and efficient method for differential pathway identification.
Proceedings of the 6th International Conference on Biomedical Engineering and Informatics, 2013

2012
A Markov chain model-based method for cancer classification.
Proceedings of the Eighth International Conference on Natural Computation, 2012

Protein-Protein Binding Affinity Prediction Based on an SVR Ensemble.
Proceedings of the Intelligent Computing Technology - 8th International Conference, 2012

Protein-Protein Interaction Affinity Prediction Based on Interface Descriptors and Machine Learning.
Proceedings of the Intelligent Computing Theories and Applications, 2012

A Novel Discretization Method for Microarray-Based Cancer Classification.
Proceedings of the Intelligent Computing Technology - 8th International Conference, 2012

A new method for identifying reliably correlated variables.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

Extracting local information for identifying differentially expressed pathways.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2011
Gene selection using independent variable group analysis for tumor classification.
Neural Comput. Appl., 2011

Discovering the transcriptional modules using microarray data by penalized matrix decomposition.
Comput. Biol. Medicine, 2011

SLIM: a sliding linear model for estimating the proportion of true null hypotheses in datasets with dependence structures.
Bioinform., 2011

A Pathway-Based Classification Method That Can Improve Microarray-Based Colorectal Cancer Diagnosis.
Proceedings of the Bio-Inspired Computing and Applications, 2011

A New Method for Identifying Cancer-Related Gene Association Patterns.
Proceedings of the Bio-Inspired Computing and Applications, 2011

2010
Method of regulatory network that can explore protein regulations for disease classification.
Artif. Intell. Medicine, 2010

Feature relation network that can identify underlying data structure for effective pattern classification.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

2009
Mining protein Regulatory Relationships Using Neural Network Methods for Early Prediction of SARS.
J. Circuits Syst. Comput., 2009

A neural network-based biomarker association information extraction approach for cancer classification.
J. Biomed. Informatics, 2009

2008
Constructing the gene regulation-level representation of microarray data for cancer classification.
J. Biomed. Informatics, 2008

Constructing the Histogram Representation for Automatic Gridding of cDNA Microarray Images.
Proceedings of the Medical Biometrics, First International Conference, 2008

Locally Linear Discriminant Embedding for Tumor Classification.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008

Exploring Protein Regulations with Regulatory Networks for Cancer Classification.
Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008

2007
Extracting gene regulation information for cancer classification.
Pattern Recognit., 2007

Graph-based consensus clustering for class discovery from gene expression data.
Bioinform., 2007

2006
Regulation probability method for gene selection.
Pattern Recognit. Lett., 2006

A new technique for selecting features from protein sequences.
Int. J. Pattern Recognit. Artif. Intell., 2006

Predicting Protein-Protein Interaction Sites using Radial Basis Function Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2006

2004
A Novel Clustering Analysis Based on PCA and SOMs for Gene Expression Patterns.
Proceedings of the Advances in Neural Networks, 2004

A Novel Hybrid GA/SVM System for Protein Sequences Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Protein secondary structure prediction based on the amino acids conformational classification and neural network technique.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004


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