Guoxian Yu

According to our database1, Guoxian Yu authored at least 76 papers between 2011 and 2020.

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

Timeline

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Bibliography

2020
NMFGO: Gene Function Prediction via Nonnegative Matrix Factorization with Gene Ontology.
IEEE/ACM Trans. Comput. Biology Bioinform., 2020

Isoform function prediction based on bi-random walks on a heterogeneous network.
Bioinformatics, 2020

2019
SHOAL: Large-scale Hierarchical Taxonomy via Graph-based Query Coalition in E-commerce.
PVLDB, 2019

Protein-protein interactions prediction based on ensemble deep neural networks.
Neurocomputing, 2019

Attention-Aware Answers of the Crowd.
CoRR, 2019

Multi-View Multiple Clusterings using Deep Matrix Factorization.
CoRR, 2019

Prototypical Networks for Multi-Label Learning.
CoRR, 2019

Active Multi-Label Crowd Consensus.
CoRR, 2019

Weakly-paired Cross-Modal Hashing.
CoRR, 2019

Weighted samples based semi-supervised classification.
Appl. Soft Comput., 2019

CoDP: Cooperative Driver Pathways Discovery With Matrix Factorization and Tri-Random Walk.
IEEE Access, 2019

Discovering Multiple Co-Clusterings in Subspaces.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Multi-View Multiple Clustering.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Affinity Propagation Clustering Using Centroid-Deviation-Distance Based Similarity.
Proceedings of the Human Brain and Artificial Intelligence - First International Workshop, 2019

Consistent and Specific Multi-view Relative-Transform Classification.
Proceedings of the Human Brain and Artificial Intelligence - First International Workshop, 2019

ActiveHNE: Active Heterogeneous Network Embedding.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Cross-Modal Zero-Shot Hashing.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Selective Matrix Factorization for Multi-relational Data Fusion.
Proceedings of the Database Systems for Advanced Applications, 2019

DeepGOA: Predicting Gene Ontology Annotations of Proteins via Graph Convolutional Network.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

DMIL-III: Isoform-isoform interaction prediction using deep multi-instance learning method.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

CoPath: discovering cooperative driver pathways using greedy mutual exclusivity and bi-clustering.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix Factorization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Multiple Independent Subspace Clusterings.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Ranking-Based Deep Cross-Modal Hashing.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
NewGOA: Predicting New GO Annotations of Proteins by Bi-Random Walks on a Hybrid Graph.
IEEE/ACM Trans. Comput. Biology Bioinform., 2018

Predicting protein-protein interactions using high-quality non-interacting pairs.
BMC Bioinformatics, 2018

BMC3C: binning metagenomic contigs using codon usage, sequence composition and read coverage.
Bioinformatics, 2018

Matrix factorization-based data fusion for the prediction of lncRNA-disease associations.
Bioinformatics, 2018

Multi-view Weak-label Learning based on Matrix Completion.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Semi-supervised DenPeak Clustering with Pairwise Constraints.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Matrix Factorization for Identifying Noisy Labels of Multi-label Instances.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Multi-Label Co-Training.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Incomplete Multi-View Weak-Label Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Feature-Induced Partial Multi-label Learning.
Proceedings of the IEEE International Conference on Data Mining, 2018

Multiple Co-clusterings.
Proceedings of the IEEE International Conference on Data Mining, 2018

Multi-label Answer Aggregation Based on Joint Matrix Factorization.
Proceedings of the IEEE International Conference on Data Mining, 2018

Cost Effective Multi-label Active Learning via Querying Subexamples.
Proceedings of the IEEE International Conference on Data Mining, 2018

Weighted matrix factorization based data fusion for predicting lncRNA-disease associations.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Multi-Label Classification Based on Low Rank Representation for Image Annotation.
Remote Sensing, 2017

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

Semi-supervised multi-label classification using incomplete label information.
Neurocomputing, 2017

HashGO: hashing gene ontology for protein function prediction.
Comput. Biology Chem., 2017

NoGOA: predicting noisy GO annotations using evidences and sparse representation.
BMC Bioinformatics, 2017

Semi-supervised classification by discriminative regularization.
Appl. Soft Comput., 2017

Semi-Supervised Multi-Label Dimensionality Reduction Based on Dependence Maximization.
IEEE Access, 2017

Semi-supervised Multi-label Linear Discriminant Analysis.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Predicting Protein Function via Semantic Integration of Multiple Networks.
IEEE/ACM Trans. Comput. Biology Bioinform., 2016

NoisyGOA: Noisy GO annotations prediction using taxonomic and semantic similarity.
Comput. Biology Chem., 2016

Interspecies gene function prediction using semantic similarity.
BMC Systems Biology, 2016

NegGOA: negative GO annotations selection using ontology structure.
Bioinformatics, 2016

Affinity Propagation Clustering Using Path Based Similarity.
Algorithms, 2016

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

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

Integrating multiple networks for protein function prediction.
BMC Systems Biology, 2015

Predicting protein function via downward random walks on a gene ontology.
BMC Bioinformatics, 2015

Predicting protein functions using incomplete hierarchical labels.
BMC Bioinformatics, 2015

Semi-Supervised Classification Based on Mixture Graph.
Algorithms, 2015

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

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

Probabilistic cluster structure ensemble.
Inf. Sci., 2014

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

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

Hidden Markov Models for Real-Time Estimation of Corn Progress Stages Using MODIS and Meteorological Data.
Remote Sensing, 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

Hybrid cluster ensemble framework based on the random combination of data transformation operators.
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
Enhanced locality preserving projections using robust path based similarity.
Neurocomputing, 2011

Sparse representation based spectral regression.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

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


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