Guoji Zhang

According to our database1, Guoji Zhang authored at least 23 papers between 2010 and 2017.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2017
Weighted-object ensemble clustering: methods and analysis.
Knowl. Inf. Syst., 2017

Weighted Local Naive Bayes Link Prediction.
J. Inf. Process. Syst., 2017

A balanced modularity maximization link prediction model in social networks.
Inf. Process. Manag., 2017

2015
Predicting Protein Function Using Multiple Kernels.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Semi-supervised classification based on subspace sparse representation.
Knowl. Inf. Syst., 2015

Image encryption algorithm with compound chaotic maps.
J. Ambient Intell. Humaniz. Comput., 2015

2014
Protein Function Prediction withIncomplete Annotations.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Erratum to "Protein Function Prediction Using Multilabel Ensemble Classification".
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Illumination Normalization Among Multiple Remote-Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2014

A Weighted Adaptive Mean Shift Clustering Algorithm.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Boosted Mean Shift Clustering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

2013
Protein Function Prediction Using Multilabel Ensemble Classification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013

Protein Function Prediction Using Dependence Maximization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Protein Function Prediction by Integrating Multiple Kernels.
Proceedings of the IJCAI 2013, 2013

Exploiting neighbors' latent correlation for link prediction in complex network.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

Weighted-Object Ensemble Clustering.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Semi-supervised classification based on random subspace dimensionality reduction.
Pattern Recognit., 2012

Local and global structure preserving based feature selection.
Neurocomputing, 2012

Semi-supervised ensemble classification in subspaces.
Appl. Soft Comput., 2012

Transductive multi-label ensemble classification for protein function prediction.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Protein function prediction using weak-label learning.
Proceedings of the ACM International Conference on Bioinformatics, 2012

2011
Random subspace based semi-supervised feature selection.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

2010
A Hybrid PSO/GA Algorithm for Job Shop Scheduling Problem.
Proceedings of the Advances in Swarm Intelligence, First International Conference, 2010


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