Weifeng Liu

According to our database, Weifeng Liu authored at least 96 papers between 2006 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Unified Cross-domain Classification via Geometric and Statistical Adaptations.

Weifeng Liu, Jinfeng Li, Bao-Di Liu, Weili Guan, Yicong Zhou, Changsheng Xu

Pattern Recognit., 2021

Accurately modeling the human brain functional correlations with hypergraph Laplacian.

Jichao Ma, Yanjiang Wang, Bao-Di Liu, Weifeng Liu

Neurocomputing, 2021

Answer Questions with Right Image Regions: A Visual Attention Regularization Approach.

Yibing Liu, Yangyang Guo, Jianhua Yin, Xuemeng Song, Weifeng Liu, Liqiang Nie

CoRR, 2021

2020

Class specific or shared? A cascaded dictionary learning framework for image classification.

Yan-Jiang Wang, Shuai Shao, Rui Xu, Weifeng Liu, Bao-Di Liu

Signal Process., 2020

Domain Adaptation with Few Labeled Source Samples by Graph Regularization.

Jinfeng Li, Weifeng Liu, Yicong Zhou, Dapeng Tao, Liqiang Nie

Neural Process. Lett., 2020

HesGCN: Hessian graph convolutional networks for semi-supervised classification.

Sichao Fu, Weifeng Liu, Dapeng Tao, Yicong Zhou, Liqiang Nie

Inf. Sci., 2020

Label embedded dictionary learning for image classification.

Shuai Shao, Rui Xu, Weifeng Liu, Bao-Di Liu, Yan-Jiang Wang

Neurocomputing, 2020

SAHDL: Sparse Attention Hypergraph Regularized Dictionary Learning.

Shuai Shao, Rui Xu, Yan-Jiang Wang, Weifeng Liu, Bao-Di Liu

CoRR, 2020

Targeted Attention Attack on Deep Learning Models in Road Sign Recognition.

Xinghao Yang, Weifeng Liu, Shengli Zhang, Wei Liu, Dacheng Tao

CoRR, 2020

Learning Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation with Few Labeled Source Samples.

Jinfeng Li, Weifeng Liu, Yicong Zhou, Jun Yu, Dapeng Tao

CoRR, 2020

Understanding the Relationship Between Human Brain Structure and Function by Predicting the Structural Connectivity From Functional Connectivity.

Yanjiang Wang, Xue Chen, Bao-Di Liu, Weifeng Liu, Richard Martin Shiffrin

IEEE Access, 2020

CapelliniSpTRSV: A Thread-Level Synchronization-Free Sparse Triangular Solve on GPUs.

Jiya Su, Feng Zhang, Weifeng Liu, Bingsheng He, Ruofan Wu, Xiaoyong Du, Rujia Wang

Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

Efficient Block Algorithms for Parallel Sparse Triangular Solve.

Zhengyang Lu, Yuyao Niu, Weifeng Liu

Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

2019

Hypergraph $p$ -Laplacian Regularization for Remotely Sensed Image Recognition.

Xueqi Ma, Weifeng Liu, Shuying Li, Dapeng Tao, Yicong Zhou

IEEE Trans. Geosci. Remote. Sens., 2019

$p$ -Laplacian Regularization for Scene Recognition.

Weifeng Liu, Xueqi Ma, Yicong Zhou, Dapeng Tao, Jun Cheng

IEEE Trans. Cybern., 2019

Hessian Regularized Distance Metric Learning for People Re-Identification.

Guanhua Feng, Weifeng Liu, Dapeng Tao, Yicong Zhou

Neural Process. Lett., 2019

Effective human action recognition by combining manifold regularization and pairwise constraints.

Xueqi Ma, Dapeng Tao, Weifeng Liu

Multim. Tools Appl., 2019

Hessian-Regularized Multitask Dictionary Learning for Remote Sensing Image Recognition.

Guanhua Feng, Weifeng Liu, Shuying Li, Dapeng Tao, Yicong Zhou

IEEE Geosci. Remote. Sens. Lett., 2019

HpLapGCN: Hypergraph <i>p</i>-Laplacian graph convolutional networks.

Sichao Fu, Weifeng Liu, Yicong Zhou, Liqiang Nie

Neurocomputing, 2019

Advances in data representation and learning for pattern analysis.

C. L. Philip Chen, Xinge You, Xinbo Gao, Tongliang Liu, Fionn Murtagh, Weifeng Liu

Neurocomputing, 2019

Two-order graph convolutional networks for semi-supervised classification.

Sichao Fu, Weifeng Liu, Shuying Li, Yicong Zhou

IET Image Process., 2019

Label Embedded Dictionary Learning for Image Classification.

Shuai Shao, Yanjiang Wang, Bao-Di Liu, Weifeng Liu

CoRR, 2019

Ensemble p-Laplacian Regularization for Scene Image Recognition.

Xueqi Ma, Weifeng Liu, Dapeng Tao, Yicong Zhou

Cogn. Comput., 2019

Performance evaluation and analysis of sparse matrix and graph kernels on heterogeneous processors.

Feng Zhang, Weifeng Liu, Ningxuan Feng, Jidong Zhai, Xiaoyong Du

CCF Trans. High Perform. Comput., 2019

Principal Component Analysis on Graph-Hessian.

Yichen Pan, Yicong Zhou, Weifeng Liu, Liqiang Nie

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018

Reinforcement online learning for emotion prediction by using physiological signals.

Weifeng Liu, Lianbo Zhang, Dapeng Tao, Jun Cheng

Pattern Recognit. Lett., 2018

Biological modeling of human visual system for object recognition using GLoP filters and sparse coding on multi-manifolds.

Limiao Deng, Yanjiang Wang, Bao-Di Liu, Weifeng Liu, Yujuan Qi

Mach. Vis. Appl., 2018

Multiview dimension reduction via Hessian multiset canonical correlations.

Weifeng Liu, Xinghao Yang, Dapeng Tao, Jun Cheng, Yuanyan Tang

Inf. Fusion, 2018

Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition.

Xueqi Ma, Weifeng Liu, Dapeng Tao, Yicong Zhou

CoRR, 2018

Hypergraph p-Laplacian Regularization for Remote Sensing Image Recognition.

Xueqi Ma, Weifeng Liu, Shuying Li, Yicong Zhou

CoRR, 2018

Color Transfer Pulse-Coupled Neural Networks for Underwater Robotic Visual Systems.

Kangjian He, Ruxin Wang, Dapeng Tao, Jun Cheng, Weifeng Liu

IEEE Access, 2018

Recognition of Working Condition in Sucker-Rod Pumping Wells Based on Multi-View Kernel Learning and Hessian-Regularized Logistic Regression.

Bin Zhou, Yanjiang Wang, Weifeng Liu, Bao-Di Liu

Proceedings of the 2018 IEEE International Conference on Signal Processing, 2018

The comparison of different graph convolutional neural networks for image recognition.

Sichao Fu, Xinghao Yang, Weifeng Liu

Proceedings of the 10th International Conference on Internet Multimedia Computing and Service, 2018

2017

Multiview Cauchy Estimator Feature Embedding for Depth and Inertial Sensor-Based Human Action Recognition.

Yanan Guo, Dapeng Tao, Weifeng Liu, Jun Cheng

IEEE Trans. Syst. Man Cybern. Syst., 2017

LMAE: A large margin Auto-Encoders for classification.

Weifeng Liu, Tengzhou Ma, Qiangsheng Xie, Dapeng Tao, Jun Cheng

Signal Process., 2017

Road Detection by Using a Generalized Hough Transform.

Weifeng Liu, Zhenqing Zhang, Shuying Li, Dapeng Tao

Remote. Sens., 2017

Cauchy Estimator Discriminant Learning for RGB-D Sensor-based Scene Classification.

Dapeng Tao, Xipeng Yang, Weifeng Liu, Shuifa Sun, Yanan Guo, Ying Yu, Jianxin Pang

Multim. Tools Appl., 2017

Multiview Canonical Correlation Analysis Networks for Remote Sensing Image Recognition.

Xinghao Yang, Weifeng Liu, Dapeng Tao, Jun Cheng, Shuying Li

IEEE Geosci. Remote. Sens. Lett., 2017

Dictionary Learning-Based Hough Transform for Road Detection in Multispectral Image.

Weifeng Liu, Zhenqing Zhang, Xinghua Chen, Shuying Li, Yicong Zhou

IEEE Geosci. Remote. Sens. Lett., 2017

Support vector machine active learning by Hessian regularization.

Weifeng Liu, Lianbo Zhang, Dapeng Tao, Jun Cheng

J. Vis. Commun. Image Represent., 2017

Sparse Canonicial Correlation Analysis for Mobile Media Recognition on the Cloud.

Yanjiang Wang, Bin Zhou, Weifeng Liu, Huimin Zhang

J. Mobile Multimedia, 2017

Canonical correlation analysis networks for two-view image recognition.

Xinghao Yang, Weifeng Liu, Dapeng Tao, Jun Cheng

Inf. Sci., 2017

Diversified shared latent structure based localization for blind persons.

Yujin Wang, Dapeng Tao, Weifeng Liu

Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

Multiple Scale Canonical Correlation Analysis Networks for Two-View Object Recognition.

Xinghao Yang, Weifeng Liu

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

p-Laplacian Regularized Sparse Coding for Human Activity Recognition.

Weifeng Liu, Zheng-Jun Zha, Yanjiang Wang, Ke Lu, Dacheng Tao

IEEE Trans. Ind. Electron., 2016

Big data meets multimedia analytics.

Tat-Seng Chua, Xiangjian He, Weifeng Liu, Massimo Piccardi, Yonggang Wen, Dacheng Tao

Signal Process., 2016

Large-scale paralleled sparse principal component analysis.

Weifeng Liu, Huimin Zhang, Dapeng Tao, Yanjiang Wang, Ke Lu

Multim. Tools Appl., 2016

HSAE: A Hessian regularized sparse auto-encoders.

Weifeng Liu, Tengzhou Ma, Dapeng Tao, Jane You

Neurocomputing, 2016

Manifold regularized kernel logistic regression for web image annotation.

Weifeng Liu, Hongli Liu, Dapeng Tao, Yanjiang Wang, Ke Lu

Neurocomputing, 2016

Hessian regularization by patch alignment framework.

Weifeng Liu, Hongli Liu, Dapeng Tao

Neurocomputing, 2016

Class specific dictionary learning based kernel collaborative representation for fine-grained image classification.

Xiaojie Feng, Yanjiang Wang, Bao-Di Liu, Weifeng Liu

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Semi-supervised Hessian Eigenmap for Human Action Recognition.

Xueqi Ma, Jiaxing Pan, Yue Wang, Weifeng Liu

Proceedings of the Intelligent Visual Surveillance - 4th Chinese Conference, 2016

Local Structure Preserving Using Manifold Regularization and Pairwise Constraints for Action Recognition.

Xueqi Ma, Zhengyang Cao, Weifeng Liu

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015

Theoretical Methods in Machine Learning.

Badong Chen, Weifeng Liu, José C. Príncipe

Proceedings of the Springer Handbook of Computational Intelligence, 2015

Multiview Hessian regularized logistic regression for action recognition.

Weifeng Liu, Hongli Liu, Dapeng Tao, Yanjiang Wang, Ke Lu

Signal Process., 2015

A general framework for co-training and its applications.

Weifeng Liu, Yang Li, Dapeng Tao, Yanjiang Wang

Neurocomputing, 2015

Hessian Regularized Sparse Coding for Human Action Recognition.

Weifeng Liu, Zhen Wang, Dapeng Tao, Jun Yu

Proceedings of the MultiMedia Modeling - 21st International Conference, 2015

Sparse canonical correlation analysis for recognition.

Huimin Zhang, Weifeng Liu, Zheng-Jun Zha

Proceedings of the 7th International Conference on Internet Multimedia Computing and Service, 2015

Sparse principle motion component for one-shot gesture recognition.

Xinghao Yang, Hongli Liu, Weifeng Liu, Zheng-Jun Zha

Proceedings of the 7th International Conference on Internet Multimedia Computing and Service, 2015

2014

Multiview Hessian discriminative sparse coding for image annotation.

Weifeng Liu, Dacheng Tao, Jun Cheng, Yuan Yan Tang

Comput. Vis. Image Underst., 2014

Multi-view Face Analysis Based on Gabor Features.

Hongli Liu, Weifeng Liu, Yanjiang Wang

CoRR, 2014

Laplacian regularized active learning for image segmentation.

Lianbo Zhang, Dapeng Tao, Weifeng Liu

Proceedings of the Proceedings IEEE International Conference on Security, 2014

Laplacian-Hessian regularization for semi-supervised classification.

Hongli Liu, Weifeng Liu, Dapeng Tao, Yanjiang Wang

Proceedings of the Proceedings IEEE International Conference on Security, 2014

Co-regularization for classification.

Yang Li, Dapeng Tao, Weifeng Liu, Yanjiang Wang

Proceedings of the Proceedings IEEE International Conference on Security, 2014

Class specific subspace learning for collaborative representation.

Bao-Di Liu, Bin Shen, Yu-Xiong Wang, Weifeng Liu, Yanjiang Wang

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

2013

Editorial A Successful Change From TNN to TNNLS and a Very Successful Year.

Derong Liu, Charles Anderson, Ahmad Taher Azar, Giorgio Battistelli, Eduardo Bayro-Corrochano, Cristiano Cervellera, David A. Elizondo, Maurizio Filippone, Giorgio Gnecco, Xiaolin Hu, Tingwen Huang, Weifeng Liu, Wenlian Lu, Ana Maria Madureira, Igor Skrjanc, Thomas Villmann, Q. M. Jonathan Wu, Shengli Xie, Dong Xu

IEEE Trans. Neural Networks Learn. Syst., 2013

Hessian Regularized Support Vector Machines for Mobile Image Annotation on the Cloud.

Dapeng Tao, Lianwen Jin, Weifeng Liu, Xuelong Li

IEEE Trans. Multim., 2013

Multiview Hessian Regularization for Image Annotation.

Weifeng Liu, Dacheng Tao

IEEE Trans. Image Process., 2013

Dictionary learning based image enhancement for rarity detection

Weifeng Liu, Xiaomeng Wang, Yanjiang Wang

CoRR, 2013

Self-Explanatory Convex Sparse Representation for Image Classification.

Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Yu-Jin Zhang, Yanjiang Wang, Weifeng Liu

Proceedings of the IEEE International Conference on Systems, 2013

Discriminant Multi-component Face Analysis.

Hongli Liu, Weifeng Liu, Liping Dong, Yanjiang Wang

Proceedings of the IEEE International Conference on Systems, 2013

Object-of-interest extraction based on sparse coding.

Xiaomeng Wang, Yanjiang Wang, Weifeng Liu, Hui Li

Proceedings of the International Conference on Internet Multimedia Computing and Service, 2013

Facial expression recognition based on Hessian regularized support vector machine.

Caifeng Song, Weifeng Liu, Yanjiang Wang

Proceedings of the International Conference on Internet Multimedia Computing and Service, 2013

Detection of static salient objects based on visual attention and edge features.

Hui Li, Yanjiang Wang, Weifeng Liu, Xiaomeng Wang

Proceedings of the International Conference on Internet Multimedia Computing and Service, 2013

Bio-inspired invariant visual feature representation based on K-SVD and SURF algorithms.

Liying Jiang, Yanjiang Wang, Weifeng Liu

Proceedings of the International Conference on Internet Multimedia Computing and Service, 2013

2012

The eighth annual MLSP competition: Overview.

Ken Montanez, Weifeng Liu, Vince D. Calhoun, Catherine Huang, Kenneth E. Hild II

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Facial expression recognition based on discriminative dictionary learning.

Weifeng Liu, Caifeng Song, Yanjiang Wang

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Cellular Differentiation Algorithm for High Dimensional Numerical Function Optimization.

Yanjiang Wang, Chengna Yuan, Weifeng Liu

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Subject-Independent Facial Expression Recognition with Biologically Inspired Features.

Weifeng Liu, Caifeng Song, Yanjiang Wang

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Laplacian support vector machines for medical diagnosis.

Caifeng Song, Weifeng Liu, Yanjiang Wang

Proceedings of the International Conference on Computerized Healthcare, 2012

Facial expression recognition based on Gabor features and sparse representation.

Weifeng Liu, Caifeng Song, Yanjiang Wang, Lu Jia

Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012

2010

Fixed-budget kernel recursive least-squares.

Steven Van Vaerenbergh, Ignacio Santamaría, Weifeng Liu, José C. Príncipe

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

Extended kernel recursive least squares algorithm.

Weifeng Liu, Il Park, Yiwen Wang, José C. Príncipe

IEEE Trans. Signal Process., 2009

An Information Theoretic Approach of Designing Sparse Kernel Adaptive Filters.

Weifeng Liu, Il Park, José C. Príncipe

IEEE Trans. Neural Networks, 2009

A low complexity robust detector in impulsive noise.

Puskal P. Pokharel, Weifeng Liu, José C. Príncipe

Signal Process., 2009

Kernel least mean square algorithm with constrained growth.

Puskal P. Pokharel, Weifeng Liu, José C. Príncipe

Signal Process., 2009

The correntropy MACE filter.

Kyu-Hwa Jeong, Weifeng Liu, Seungju Han, Erion Hasanbelliu, José C. Príncipe

Pattern Recognit., 2009

A Target Detection Algorithm Based on Histogram Feature and Particle Swarm.

Weifeng Liu, Yanjiang Wang

Proceedings of the Fifth International Conference on Natural Computation, 2009

2008

The Kernel Least-Mean-Square Algorithm.

Weifeng Liu, Puskal P. Pokharel, José C. Príncipe

IEEE Trans. Signal Process., 2008

Kernel Affine Projection Algorithms.

Weifeng Liu, José C. Príncipe

EURASIP J. Adv. Signal Process., 2008

The wellposedness analysis of the kernel adaline.

Weifeng Liu, José C. Príncipe

Proceedings of the International Joint Conference on Neural Networks, 2008

2007

Correntropy: Properties and Applications in Non-Gaussian Signal Processing.

Weifeng Liu, Puskal P. Pokharel, José C. Príncipe

IEEE Trans. Signal Process., 2007

A unifying criterion for instantaneous blind source separation based on correntropy.

Ruijiang Li, Weifeng Liu, José C. Príncipe

Signal Process., 2007

Kernel LMS.

Puskal P. Pokharel, Weifeng Liu, José C. Príncipe

Proceedings of the IEEE International Conference on Acoustics, 2007

A New Information Theoretic Measure of PDF Symmetry.

Weifeng Liu, Puskal P. Pokharel, José C. Príncipe

Proceedings of the IEEE International Conference on Acoustics, 2007

2006

Correntropy: A Localized Similarity Measure.

Weifeng Liu, Puskal P. Pokharel, José C. Príncipe

Proceedings of the International Joint Conference on Neural Networks, 2006