Mingkui Tan

According to our database1, Mingkui Tan
  • authored at least 35 papers between 2008 and 2017.
  • has a "Dijkstra number"2 of four.

Timeline

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Bibliography

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

Towards Effective Low-bitwidth Convolutional Neural Networks.
CoRR, 2017

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

MPGL: An Efficient Matching Pursuit Method for Generalized LASSO.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Robust Kernel Low-Rank Representation.
IEEE Trans. Neural Netw. Learning Syst., 2016

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

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

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

Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Fast Algorithms for Linear and Kernel SVM+.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Blind Image Deconvolution by Automatic Gradient Activation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Efficient Orthogonal Non-negative Matrix Factorization over Stiefel Manifold.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Matching Pursuit LASSO Part II: Applications and Sparse Recovery Over Batch Signals.
IEEE Trans. Signal Processing, 2015

Matching Pursuit LASSO Part I: Sparse Recovery Over Big Dictionary.
IEEE Trans. Signal Processing, 2015

A Unified Feature Selection Framework for Graph Embedding on High Dimensional Data.
IEEE Trans. Knowl. Data Eng., 2015

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

Scalable Nuclear-norm Minimization by Subspace Pursuit Proximal Riemannian Gradient.
CoRR, 2015

Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Learning graph structure for multi-label image classification via clique generation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Towards ultrahigh dimensional feature selection for big data.
Journal of Machine Learning Research, 2014

Riemannian Pursuit for Big Matrix Recovery.
Proceedings of the 31th International Conference on Machine Learning, 2014

Weighted Block-Sparse Low Rank Representation for Face Clustering in Videos.
Proceedings of the Computer Vision - ECCV 2014, 2014

Heterogeneous Domain Adaptation for Multiple Classes.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
Minimax Sparse Logistic Regression for Very High-Dimensional Feature Selection.
IEEE Trans. Neural Netw. Learning Syst., 2013

Is Matching Pursuit Solving Convex Problems?
CoRR, 2013

2012
Graph embedding based feature selection.
Neurocomputing, 2012

Towards Large-scale and Ultrahigh Dimensional Feature Selection via Feature Generation
CoRR, 2012

Discovering Support and Affiliated Features from Very High Dimensions.
Proceedings of the 29th International Conference on Machine Learning, 2012

Convex Matching Pursuit for Large-Scale Sparse Coding and Subset Selection.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
A Hybrid PSO-BFGS Strategy for Global Optimization of Multimodal Functions.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2011

2010
Tuning SVM parameters by using a hybrid CLPSO-BFGS algorithm.
Neurocomputing, 2010

Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009
Gene selection and parameter determination of support vector machines based on BPSO algorithm.
IJMIC, 2009

2008
Gene selection using hybrid particle swarm optimization and genetic algorithm.
Soft Comput., 2008


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