Qingyao Wu

According to our database1, Qingyao Wu
  • authored at least 35 papers between 2010 and 2017.
  • has a "Dijkstra number"2 of four.



In proceedings 
PhD thesis 


On csauthors.net:


MR-NTD: Manifold Regularization Nonnegative Tucker Decomposition for Tensor Data Dimension Reduction and Representation.
IEEE Trans. Neural Netw. Learning Syst., 2017

A Unified Framework for Metric Transfer Learning.
IEEE Trans. Knowl. Data Eng., 2017

Online Transfer Learning with Multiple Homogeneous or Heterogeneous Sources.
IEEE Trans. Knowl. Data Eng., 2017

Leveraging question target word features through semantic relation expansion for answer type classification.
Knowl.-Based Syst., 2017

Online transfer learning by leveraging multiple source domains.
Knowl. Inf. Syst., 2017

Extremely Randomized Forest with Hierarchy of Multi-label Classifiers.
Proceedings of the Intelligence Science and Big Data Engineering, 2017

Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Individual Judgments Versus Consensus: Estimating Query-URL Relevance.
TWEB, 2016

ML-FOREST: A Multi-Label Tree Ensemble Method for Multi-Label Classification.
IEEE Trans. Knowl. Data Eng., 2016

Online Feature Selection of Class Imbalance via PA Algorithm.
J. Comput. Sci. Technol., 2016

A fast Markov chain based algorithm for MIML learning.
Neurocomputing, 2016

The Shallow End: Empowering Shallower Deep-Convolutional Networks through Auxiliary Outputs.
CoRR, 2016

Multi-instance multi-label distance metric learning for genome-wide protein function prediction.
Computational Biology and Chemistry, 2016

Joint Classification with Heterogeneous Labels Using Random Walk with Dynamic Label Propagation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Online Heterogeneous Transfer Learning by Weighted Offline and Online Classifiers.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Online Multi-Instance Multi-Label learning for protein function prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

ML-TREE: A Tree-Structure-Based Approach to Multilabel Learning.
IEEE Trans. Neural Netw. Learning Syst., 2015

NMFE-SSCC: Non-negative matrix factorization ensemble for semi-supervised collective classification.
Knowl.-Based Syst., 2015

Sparse Markov chain-based semi-supervised multi-instance multi-label method for protein function prediction.
J. Bioinformatics and Computational Biology, 2015

Protein functional properties prediction in sparsely-label PPI networks through regularized non-negative matrix factorization.
BMC Systems Biology, 2015

Genome-wide association data classification and SNPs selection using two-stage quality-based Random Forests.
BMC Genomics, 2015

Multi-Label Regularized Generative Model for Semi-Supervised Collective Classification in Large-Scale Networks.
Big Data Research, 2015

ForesTexter: An efficient random forest algorithm for imbalanced text categorization.
Knowl.-Based Syst., 2014

Multi-label collective classification via Markov chain based learning method.
Knowl.-Based Syst., 2014

Cotransfer Learning Using Coupled Markov Chains with Restart.
IEEE Intelligent Systems, 2014

Collective prediction of protein functions from protein-protein interaction networks.
BMC Bioinformatics, 2014

A Generative Model with Network Regularization for Semi-Supervised Collective Classification.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Stratified sampling for feature subspace selection in random forests for high dimensional data.
Pattern Recognition, 2013

Markov-Miml: A Markov chain-based multi-instance multi-label learning algorithm.
Knowl. Inf. Syst., 2013

Unknown Chinese word extraction based on variety of overlapping strings.
Inf. Process. Manage., 2013

Cluster tree based multi-label classification for protein function prediction.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

MultiFacTV: Finding modules from higher-order gene expression profiles with time dimension.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

Stratified Random Forest for Genome-wide Association Study.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

Exploiting Word Cluster Information for Unsupervised Feature Selection.
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010

A Refinement Approach to Handling Model Misfit in Semi-supervised Learning.
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010