Jun Liu

发表

Radio received signal strength based biometric sensing for lightweight walker recognition

Tong Liu, Zhi-ming Chen, Jun Liu, 2017, 2017 IEEE International Conference on Information and Automation (ICIA).

The Image Matting Method with Regularized Matte

Manoranjan Paul, Junbin Gao, Jun Liu, 2012, 2012 IEEE International Conference on Multimedia and Expo.

Generalized Low-Rank Approximations of Matrices Revisited

Zhi-Hua Zhou, Xiaoyang Tan, Jun Liu, 2010, IEEE Transactions on Neural Networks.

Sub-intrapersonal space analysis for face recognition

Xiaoyang Tan, Jun Liu, Songcan Chen, 2006, Neurocomputing.

Progressive Principal Component Analysis

Zhi-Hua Zhou, Jun Liu, Songcan Chen, 2004, ISNN.

Modeling disease progression via fused sparse group lasso

Jiayu Zhou, Jieping Ye, Jun Liu, 2012, KDD.

Efficient L1/Lq Norm Regularization pdf

Jieping Ye, Jun Liu, Jieping Ye, 2010, ArXiv.

Fractional order singular value decomposition representation for face recognition

Xiaoyang Tan, Jun Liu, Songcan Chen, 2008, Pattern Recognit..

Semi-random subspace method for face recognition

Yulian Zhu, Jun Liu, Songcan Chen, 2009, Image Vis. Comput..

Tight frame learning for cardiovascular MRI

Jun Liu, Edgar Mueller, Qiu Wang, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease

Daoqiang Zhang, Dinggang Shen, Mingxia Liu, 2017, IEEE Transactions on Biomedical Engineering.

3D Model Compression For Collaborative Design

Liping Chen, Zhengdong Huang, Jun Liu, 2009 .

Accelerated singular value thresholding for matrix completion

Jieping Ye, Yao Hu, Debing Zhang, 2012, KDD.

Model predictive control oriented shared steering control for intelligent vehicles

Hong Chen, Fei Wang, Jun Liu, 2017, 2017 29th Chinese Control And Decision Conference (CCDC).

Efficient Mixed-Norm Regularization: Algorithms and Safe Screening Methods pdf

Jieping Ye, Jun Liu, Jie Wang, 2013, ArXiv.

A sparsity-inducing formulation for evolutionary co-clustering

Shuiwang Ji, Jun Liu, Wenlu Zhang, 2012, KDD.

Improved Nystrom Low-rank Decomposition with Priors

Andreas Rauber, Kai Zhang, Jun Liu, 2012, ICML.

A convex formulation for learning shared structures from multiple tasks

Jieping Ye, Lei Tang, Jianhui Chen, 2009, ICML '09.

Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data

Jing Li, Jieping Ye, Adam Fleisher, 2009, NIPS.

Face Liveness Detection from a Single Image with Sparse Low Rank Bilinear Discriminative Model

Yi Li, Xiaoyang Tan, Jun Liu, 2010, ECCV.

Efficient Methods for Overlapping Group Lasso

Jieping Ye, Jun Liu, Lei Yuan, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Abnormal activity detection based on received signal strengths of radio tomographic networks

Tong Liu, Zhi-ming Chen, Jun Liu, 2017, 2017 29th Chinese Control And Decision Conference (CCDC).

Modeling disease progression via multi-task learning

Jiayu Zhou, Jieping Ye, Jun Liu, 2013, NeuroImage.

Efficient Recovery of Jointly Sparse Vectors

Jieping Ye, Liang Sun, Jianhui Chen, 2009, NIPS.

Low-rank decomposition meets kernel learning: A generalized Nyström method

Jun Wang, Wei Cheng, Xiaoli Li, 2017, Artif. Intell..

Making FLDA applicable to face recognition with one sample per person

Zhi-Hua Zhou, Jun Liu, Songcan Chen, 2004, Pattern Recognit..

Learning the Optimal Neighborhood Kernel for Classification

Jieping Ye, Jianhui Chen, Jun Liu, 2009, IJCAI.

Resampling LDA/QR and PCA+LDA for Face Recognition

Jun Liu, Songcan Chen, Songcan Chen, 2005, Australian Conference on Artificial Intelligence.

An Efficient Pseudoinverse Linear Discriminant Analysis method for Face Recognition

Daoqiang Zhang, Xiaoyang Tan, Jun Liu, 2006 .

Non-iterative generalized low rank approximation of matrices

Jun Liu, Songcan Chen, Songcan Chen, 2006, Pattern Recognit. Lett..

Accelerating Model Selection with Safe Screening for L 1-Regularized L 2-SVM

Zheng Zhao, Jun Liu, James Cox, 2014, ECML/PKDD.

SLEP: Sparse Learning with Efficient Projections

Shuiwang Ji, Jun Liu, Jieping Ye, 2011 .

Moreau-Yosida Regularization for Grouped Tree Structure Learning

Jieping Ye, Jun Liu, Jieping Ye, 2010, NIPS.

The Group Dantzig Selector

Han Liu, Jun Liu, Xiaoye Jiang, 2010, AISTATS.

Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation

Jing Li, Jieping Ye, Liang Sun, 2009, KDD.

Discriminant common vectors versus neighbourhood components analysis and Laplacianfaces: A comparative study in small sample size problem

Jun Liu, Songcan Chen, Songcan Chen, 2006, Image Vis. Comput..

Fast Overlapping Group Lasso pdf

Jieping Ye, Jun Liu, Jieping Ye, 2010, ArXiv.

Single Image Subspace for Face Recognition

Zhi-Hua Zhou, Xiaoyang Tan, Jun Liu, 2007, AMFG.

Adaptive control for permanent magnet synchronous motor based on disturbance observer

Yu Fang, Songyin Cao, Yang Yi, 2017, 2017 36th Chinese Control Conference (CCC).

Temporally-Constrained Group Sparse Learning for Longitudinal Data Analysis

Daoqiang Zhang, Dinggang Shen, Jun Liu, 2012, MICCAI.

Efficient Pseudoinverse Linear Discriminant Analysis and its Nonlinear Form for Face Recognition

Daoqiang Zhang, Xiaoyang Tan, Jun Liu, 2007, Int. J. Pattern Recognit. Artif. Intell..

Projection onto A Nonnegative Max-Heap

Jieping Ye, Liang Sun, Jun Liu, 2011, NIPS.

Recognition from a Single Sample per Person with Multiple SOM Fusion

Xiaoyang Tan, Jun Liu, Songcan Chen, 2006, ISNN.

Weighted SOM-Face: Selecting Local Features for Recognition from Individual Face Image

Fuyan Zhang, Xiaoyang Tan, Jun Liu, 2005, IDEAL.

A Safe Screening Rule for Sparse Logistic Regression

Jiayu Zhou, Jieping Ye, Peter Wonka, 2013, NIPS.

An Adaptive Approach to Learning Optimal Neighborhood Kernels

Lei Wang, Jianping Yin, Chenping Hou, 2013, IEEE Transactions on Cybernetics.

A Novel Face Feature Extraction Method Based on Two-dimensional Principal Component Analysis and Kernel Discriminant Analysis

Xiongwei Zhang, Xiaoguo Wang, Yong Huang, 2009, 2009 International Conference on Information Management and Engineering.

Sparse methods for biomedical data

Jieping Ye, Jun Liu, Jieping Ye, 2012, SKDD.

A Convex Formulation for Learning a Shared Predictive Structure from Multiple Tasks

Jieping Ye, Lei Tang, Jianhui Chen, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Automatic Head MRI segmentation combining FCM and VBM

Jun Liu, Nan He, HeLei Wu, 2017 .

Safe Screening With Variational Inequalities and Its Applicaiton to LASSO pdf

Jieping Ye, Zheng Zhao, Jun Liu, 2013, ICML.

Nonthreshold-based node level algorithm of data compression over the wireless sensor networks

Fenxiong Chen, Jun Liu, Fei Wen, 2010, 2010 2nd International Conference on Signal Processing Systems.

Representing Image Matrices: Eigenimages Versus Eigenvectors

Daoqiang Zhang, Jun Liu, Songcan Chen, 2005, ISNN.

Large-scale sparse logistic regression

Jieping Ye, Jianhui Chen, Jun Liu, 2009, KDD.

Absolute Fused Lasso and Its Application to Genome-Wide Association Studies

Jieping Ye, Jun Liu, Tao Yang, 2016, KDD.

A study on three linear discriminant analysis based methods in small sample size problem

Xiaoyang Tan, Jun Liu, Songcan Chen, 2008, Pattern Recognit..

An efficient algorithm for a class of fused lasso problems

Jieping Ye, Jun Liu, Lei Yuan, 2010, KDD.

Learning to surface deep web content

Qinghua Zheng, Jun Liu, Lu Jiang, 2010, AAAI 2010.

Pattern Representation in Feature Extraction and Classifier Design: Matrix Versus Vector

Daoqiang Zhang, Jun Liu, Songcan Chen, 2008, IEEE Transactions on Neural Networks.

Bilateral Two-Dimensional Principal Component Analysis with its Application to Face Recognition

Xiongwei Zhang, Xiaoguo Wang, Jun Liu, 2009, 2009 International Workshop on Intelligent Systems and Applications.

Multi-Task Feature Learning Via Efficient l2, 1-Norm Minimization pdf

Jieping Ye, Shuiwang Ji, Jun Liu, 2009, UAI.

Face Recognition Under Occlusions and Variant Expressions With Partial Similarity

Zhi-Hua Zhou, Xiaoyang Tan, Jun Liu, 2009, IEEE Transactions on Information Forensics and Security.

Sparse non-negative tensor factorization using columnwise coordinate descent

Jieping Ye, Peter Wonka, Ji Liu, 2012, Pattern Recognit..

Current advances and future perspectives of 3D printing natural-derived biopolymers.

Jun Liu, Jianzhong Sun, Wenyang Xu, 2019, Carbohydrate polymers.

Communicating beyond Information? Mobile Phones and Mobilization to Offline Protests in China

Jun Liu, Jun Liu, 2015 .

Structural investigation of a polysaccharide from the mycelium of Enterobacter cloacae and its antibacterial activity against extensively drug-resistant E. cloacae producing SHV-12 extended-spectrum β-lactamase.

Jun Liu, Xin Wang, Yi Zhao, 2018, Carbohydrate polymers.