Mingkui Tan

Proceedings of the Computational Science - ICCS 2018, 2018

Towards Effective Low-Bitwidth Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

A Fast Memetic Multi-Objective Differential Evolution for Multi-Tasking Optimization.

[BibT_eX]

[DOI]

Yongliang Chen

Jinghui Zhong

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Cartoon-to-Photo Facial Translation with Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of The 10th Asian Conference on Machine Learning, 2018

T-C3D: Temporal Convolutional 3D Network for Real-Time Action Recognition.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Double Forward Propagation for Memorized Batch Normalization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Online Transfer Learning with Multiple Homogeneous or Heterogeneous Sources.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2017

Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Tensor Based Relations Ranking for Multi-relational Collective Classification.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Self-Paced Kernel Estimation for Robust Blind Image Deblurring.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

On the Flatness of Loss Surface for Two-layered ReLU Networks.

[BibT_eX]

[DOI]

Proceedings of The 9th Asian Conference on Machine Learning, 2017

MPGL: An Efficient Matching Pursuit Method for Generalized LASSO.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Robust Kernel Low-Rank Representation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2016

ML-FOREST: A Multi-Label Tree Ensemble Method for Multi-Label Classification.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2016

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

[BibT_eX]

[DOI]

CoRR, 2016

Online Heterogeneous Transfer Learning by Weighted Offline and Online Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Fast Algorithms for Linear and Kernel SVM+.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Blind Image Deconvolution by Automatic Gradient Activation.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Efficient Orthogonal Non-negative Matrix Factorization over Stiefel Manifold.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Matching Pursuit LASSO Part II: Applications and Sparse Recovery Over Batch Signals.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2015

Matching Pursuit LASSO Part I: Sparse Recovery Over Big Dictionary.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2015

A Unified Feature Selection Framework for Graph Embedding on High Dimensional Data.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2015

NMFE-SSCC: Non-negative matrix factorization ensemble for semi-supervised collective classification.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2015

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

[BibT_eX]

[DOI]

CoRR, 2015

Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Learning graph structure for multi-label image classification via clique generation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Towards efficient large-scale learning by exploiting sparsity

[BibT_eX]

[DOI]

PhD thesis, 2014

Towards ultrahigh dimensional feature selection for big data.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2014

Riemannian Pursuit for Big Matrix Recovery.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

Weighted Block-Sparse Low Rank Representation for Face Clustering in Videos.

[BibT_eX]

[DOI]

Shijie Xiao

Dong Xu

Proceedings of the Computer Vision - ECCV 2014, 2014

Heterogeneous Domain Adaptation for Multiple Classes.

[BibT_eX]

[DOI]

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Minimax Sparse Logistic Regression for Very High-Dimensional Feature Selection.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2013

Is Matching Pursuit Solving Convex Problems?

[BibT_eX]

[DOI]

CoRR, 2013

2012

Graph embedding based feature selection.

[BibT_eX]

[DOI]

Dan Wei

Neurocomputing, 2012

Towards Large-scale and Ultrahigh Dimensional Feature Selection via Feature Generation

[BibT_eX]

[DOI]

CoRR, 2012

Discovering Support and Affiliated Features from Very High Dimensions.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

Convex Matching Pursuit for Large-Scale Sparse Coding and Subset Selection.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

A Hybrid PSO-BFGS Strategy for Global Optimization of Multimodal Functions.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2011

2010

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

[BibT_eX]

[DOI]

Neurocomputing, 2010

Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Xixian Wu

Int. J. Model. Identif. Control., 2009

2008

Gene selection using hybrid particle swarm optimization and genetic algorithm.

[BibT_eX]

[DOI]

Xixian Wu