Jun Liu

According to our database1, Jun Liu authored at least 53 papers between 2004 and 2017.

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

Timeline

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Bibliography

2017
Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease.
IEEE Trans. Biomed. Engineering, 2017

Low-rank decomposition meets kernel learning: A generalized Nyström method.
Artif. Intell., 2017

2016
Absolute Fused Lasso and Its Application to Genome-Wide Association Studies.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Successive Ray Refinement and Its Application to Coordinate Descent for Lasso.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

2014
Accelerating Model Selection with Safe Screening for L 1-Regularized L 2-SVM.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

A Safe Screening Rule for Sparse Logistic Regression.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Safe and efficient screening for sparse support vector machine.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Safe Screening with Variational Inequalities and Its Application to Lasso.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
An Adaptive Approach to Learning Optimal Neighborhood Kernels.
IEEE Trans. Cybernetics, 2013

A Convex Formulation for Learning a Shared Predictive Structure from Multiple Tasks.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Modeling disease progression via multi-task learning.
NeuroImage, 2013

Tight frame learning for cardiovascular MRI.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012
Sparse methods for biomedical data.
SIGKDD Explorations, 2012

Sparse non-negative tensor factorization using columnwise coordinate descent.
Pattern Recognition, 2012

Temporally-Constrained Group Sparse Learning for Longitudinal Data Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Modeling disease progression via fused sparse group lasso.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

A sparsity-inducing formulation for evolutionary co-clustering.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Accelerated singular value thresholding for matrix completion.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Improved Nystrom Low-rank Decomposition with Priors.
Proceedings of the 29th International Conference on Machine Learning, 2012

The Image Matting Method with Regularized Matte.
Proceedings of the 2012 IEEE International Conference on Multimedia and Expo, 2012

2011
Efficient Methods for Overlapping Group Lasso.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Projection onto A Nonnegative Max-Heap.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

A multi-task learning formulation for predicting disease progression.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2010
Generalized low-rank approximations of matrices revisited.
IEEE Trans. Neural Networks, 2010

The Group Dantzig Selector.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Moreau-Yosida Regularization for Grouped Tree Structure Learning.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

An efficient algorithm for a class of fused lasso problems.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Face Liveness Detection from a Single Image with Sparse Low Rank Bilinear Discriminative Model.
Proceedings of the Computer Vision - ECCV 2010, 2010

2009
Face recognition under occlusions and variant expressions with partial similarity.
IEEE Trans. Information Forensics and Security, 2009

Semi-random subspace method for face recognition.
Image Vision Comput., 2009

Multi-Task Feature Learning Via Efficient l2, 1-Norm Minimization.
Proceedings of the UAI 2009, 2009

Efficient Recovery of Jointly Sparse Vectors.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Large-scale sparse logistic regression.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Learning the Optimal Neighborhood Kernel for Classification.
Proceedings of the IJCAI 2009, 2009

Efficient Euclidean projections in linear time.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

A convex formulation for learning shared structures from multiple tasks.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
Pattern Representation in Feature Extraction and Classifier Design: Matrix Versus Vector.
IEEE Trans. Neural Networks, 2008

Fractional order singular value decomposition representation for face recognition.
Pattern Recognition, 2008

A study on three linear discriminant analysis based methods in small sample size problem.
Pattern Recognition, 2008

2007
Comments on "Efficient and Robust Feature Extraction by Maximum Margin Criterion".
IEEE Trans. Neural Networks, 2007

Efficient Pseudoinverse Linear Discriminant Analysis and its Nonlinear Form for Face Recognition.
IJPRAI, 2007

Single Image Subspace for Face Recognition.
Proceedings of the Analysis and Modeling of Faces and Gestures, 2007

2006
Non-iterative generalized low rank approximation of matrices.
Pattern Recognition Letters, 2006

Discriminant common vectors versus neighbourhood components analysis and Laplacianfaces: A comparative study in small sample size problem.
Image Vision Comput., 2006

Sub-intrapersonal space analysis for face recognition.
Neurocomputing, 2006

Recognition from a Single Sample per Person with Multiple SOM Fusion.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2005
Representing Image Matrices: Eigenimages Versus Eigenvectors.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Weighted SOM-Face: Selecting Local Features for Recognition from Individual Face Image.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2005

Resampling LDA/QR and PCA+LDA for Face Recognition.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

2004
Making FLDA applicable to face recognition with one sample per person.
Pattern Recognition, 2004

Progressive Principal Component Analysis.
Proceedings of the Advances in Neural Networks, 2004


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