Binbin Pan

According to our database, Binbin Pan authored at least 57 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

Symmetric nonnegative matrix factorization: A systematic review.

Wen-Sheng Chen, Kexin Xie, Rui Liu, Binbin Pan

Neurocomputing, November, 2023

Classifier selection using geometry preserving feature.

Binbin Pan, Wen-Sheng Chen, Liping Deng, Chen Xu, Xiaobo Zhou

Neural Comput. Appl., October, 2023

Bi-level optimization-based projective non-negative matrix factorization.

Wen-Sheng Chen, Zixin Lian, Binbin Pan, Bo Chen

Int. J. Wavelets Multiresolution Inf. Process., 2023

Orthogonal Universal Kernel Non-Negative Matrix Factorization with Total Variation Regularization.

Rong Zhou, Wen-Sheng Chen, Binbin Pan

Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

2022

A Novel Enhanced Nonnegative Matrix Factorization Method for Face Recognition.

Wen-Sheng Chen, Haitao Chen, Binbin Pan

Int. J. Pattern Recognit. Artif. Intell., 2022

A survey of deep nonnegative matrix factorization.

Wen-Sheng Chen, Qianwen Zeng, Binbin Pan

Neurocomputing, 2022

A novel general kernel-based non-negative matrix factorisation approach for face recognition.

Wen-Sheng Chen, Xiya Ge, Binbin Pan

Connect. Sci., 2022

Deep Discriminant Non-negative Matrix Factorization Method for Image Clustering.

Kexin Xie, Wen-Sheng Chen, Binbin Pan

Proceedings of the Intelligent Computing Theories and Application, 2022

A New Adaptive TV-Based BM3D Algorithm for Image Denoising.

Bo Chen, Yuru Zhang, Haoming Chen, Wensheng Chen, Binbin Pan

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021

Multi-trip time-dependent vehicle routing problem with time windows.

Binbin Pan, Zhenzhen Zhang, Andrew Lim

Eur. J. Oper. Res., 2021

A hybrid algorithm for time-dependent vehicle routing problem with time windows.

Binbin Pan, Zhenzhen Zhang, Andrew Lim

Comput. Oper. Res., 2021

Deep Grouped Non-Negative Matrix Factorization Method for Image Data Representation.

Zihao Zhan, Wen-Sheng Chen, Binbin Pan, Bo Chen

Proceedings of the International Conference on Machine Learning and Cybernetics, 2021

Supervised Non-negative Matrix Factorization Induced by Huber Loss.

Ying Huang, Wen-Sheng Chen, Binbin Pan, Bo Chen

Proceedings of the Image and Graphics - 11th International Conference, 2021

A Novel Projective Nonnegative Matrix Factorization Based on Fisher Discriminant Analysis.

Zixin Lian, Wen-Sheng Chen, Binbin Pan

Proceedings of the 17th International Conference on Computational Intelligence and Security CIS 2021, 2021

Class-Based Deep Non-Negative Matrix Factorization Algorithm for Facial Image Representation.

Wen-Sheng Chen, Zihao Zhan, Binbin Pan, Bo Chen

Proceedings of the 17th International Conference on Computational Intelligence and Security CIS 2021, 2021

2020

BP Neural Network-Based Deep Non-negative Matrix Factorization for Image Clustering.

Qianwen Zeng, Wen-Sheng Chen, Binbin Pan

Proceedings of the Intelligent Computing Methodologies - 16th International Conference, 2020

Kernel Non-Negative Matrix Factorization Using Self-Constructed Cosine Kernel.

Huihui Qian, Wen-Sheng Chen, Binbin Pan, Bo Chen

Proceedings of the 16th International Conference on Computational Intelligence and Security, 2020

2019

Semiparametric Clustering: A Robust Alternative to Parametric Clustering.

Binbin Pan, Huaiqin Dong, Wen-Sheng Chen, Chen Xu

IEEE Trans. Neural Networks Learn. Syst., 2019

Nonnegative matrix factorization with manifold structure for face recognition.

Wen-Sheng Chen, Qian Wang, Binbin Pan, Bo Chen

Int. J. Wavelets Multiresolution Inf. Process., 2019

Block kernel nonnegative matrix factorization for face recognition.

Wen-Sheng Chen, Jingmin Liu, Binbin Pan, Yugao Li

Int. J. Wavelets Multiresolution Inf. Process., 2019

Face recognition using nonnegative matrix factorization with fractional power inner product kernel.

Wen-Sheng Chen, Jingmin Liu, Binbin Pan, Bo Chen

Neurocomputing, 2019

Robust Nonnegative Matrix Factorization Based on Cosine Similarity Induced Metric.

Wen-Sheng Chen, Haitao Chen, Binbin Pan, Bo Chen

Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning, 2019

Non-Negative Feature Extraction using Conjugate Gradient Method.

Jiawen Zhang, Wen-Sheng Chen, Binbin Pan

Proceedings of the 15th International Conference on Computational Intelligence and Security, 2019

2018

Fast Non-Negative Matrix Factorizations for Face Recognition.

Wen-Sheng Chen, Yugao Li, Binbin Pan, Chen Xu

Int. J. Pattern Recognit. Artif. Intell., 2018

A sparse representation and dictionary learning based algorithm for image restoration in the presence of Rician noise.

Wensheng Chen, Jie You, Bo Chen, Binbin Pan, Lihong Li, Marc Jason Pomeroy, Zhengrong Liang

Neurocomputing, 2018

Automatic Classifier Selection Based on Classification Complexity.

Liping Deng, Wen-Sheng Chen, Binbin Pan

Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

A Novel Adaptive Segmentation Method Based on Legendre Polynomials Approximation.

Bo Chen, Mengyun Zhang, Wensheng Chen, Binbin Pan, Lihong C. Li, Xinzhou Wei

Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

Class-Cone Based Nonnegative Matrix Factorization for Face Recognition.

Yang Li, Wensheng Chen, Binbin Pan, Bo Chen

Proceedings of the 14th International Conference on Computational Intelligence and Security, 2018

A Novel Rician Noise Removal Algorithm Based on Energy Function Minimization Method.

Bo Chen, Feifei Xie, Wensheng Chen, Binbin Pan

Proceedings of the 14th International Conference on Computational Intelligence and Security, 2018

A Novel Enhanced Nonnegative Feature Extraction Approach.

Haitao Chen, Wen-Sheng Chen, Binbin Pan, Bo Chen

Proceedings of the 14th International Conference on Computational Intelligence and Security, 2018

2017

Out-of-Sample Extensions for Non-Parametric Kernel Methods.

Binbin Pan, Wen-Sheng Chen, Bo Chen, Chen Xu, Jianhuang Lai

IEEE Trans. Neural Networks Learn. Syst., 2017

Nonlinear non-negative matrix factorization with fractional power inner-product kernel for face recognition.

Jingmin Liu, Wen-Sheng Chen, Binbin Pan, Qian Wang

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

Adjacent graph-based block kernel nonnegative matrix factorization.

Wen-Sheng Chen, Qian Wang, Binbin Pan

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

Kernel Based Non-Negative Matrix Factorization Method with General Kernel Functions.

Wen-Sheng Chen, Liping Deng, Binbin Pan, Yang Zhao

Proceedings of the Intelligent Computing Methodologies - 13th International Conference, 2017

2016

A Novel Framework for Learning Geometry-Aware Kernels.

Binbin Pan, Wensheng Chen, Chen Xu, Bo Chen

IEEE Trans. Neural Networks Learn. Syst., 2016

Efficient learning of supervised kernels with a graph-based loss function.

Binbin Pan, Wen-Sheng Chen, Bo Chen, Chen Xu

Inf. Sci., 2016

Supervised kernel nonnegative matrix factorization for face recognition.

Wensheng Chen, Yang Zhao, Binbin Pan, Bo Chen

Neurocomputing, 2016

Prediction of soft tissue deformations after CMF surgery with incremental kernel ridge regression.

Binbin Pan, Guangming Zhang, James J. Xia, Peng Yuan, Horace H. S. Ip, Qizhen He, Philip K. M. Lee, Ben Chow, Xiaobo Zhou

Comput. Biol. Medicine, 2016

A new parallel MRI image reconstruction model with elastic net regularization.

Bing-Jiang Qiu, Wensheng Chen, Bo Chen, Binbin Pan

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Block kernel Nonnegative Matrix Factorization and its application to Face Recognition.

Wensheng Chen, Yugao Li, Binbin Pan, Chen Xu

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A New Image Inpainting Algorithm Based on DCT Similar Patches Features.

Jingsi Ou, Wensheng Chen, Binbin Pan, Yugao Li

Proceedings of the 12th International Conference on Computational Intelligence and Security, 2016

Local and Non-Local Feature-Based Kernel Nonnegative Matrix Factorization Method for Face Recognition.

Wensheng Chen, Qian Wang, Binbin Pan, Yugao Li

Proceedings of the 12th International Conference on Computational Intelligence and Security, 2016

A Novel Nonnegative Matrix Factorization Algorithm for Multi-manifold Learning.

Qian Wang, Wensheng Chen, Binbin Pan, Yugao Li

Proceedings of the Biometric Recognition - 11th Chinese Conference, 2016

2015

Semi-supervised discriminant analysis method for face recognition.

Wensheng Chen, Xiuli Dai, Binbin Pan, Yuan Yan Tang

Int. J. Wavelets Multiresolution Inf. Process., 2015

A novel discriminant criterion based on feature fusion strategy for face recognition.

Wen-Sheng Chen, Xiuli Dai, Binbin Pan, Taiquan Huang

Neurocomputing, 2015

Nonlinear Nonnegative Matrix Factorization Based on Discriminant Analysis with Application to Face Recognition.

Wensheng Chen, Yang Zhao, Binbin Pan, Chen Xu

Proceedings of the 11th International Conference on Computational Intelligence and Security, 2015

Non-negative Compatible Kernel Construction for Face Recognition.

Yang Zhao, Wensheng Chen, Binbin Pan, Bo Chen

Proceedings of the Biometric Recognition - 10th Chinese Conference, 2015

An Efficient Non-negative Matrix Factorization with Its Application to Face Recognition.

Yugao Li, Wensheng Chen, Binbin Pan, Yang Zhao, Bo Chen

Proceedings of the Biometric Recognition - 10th Chinese Conference, 2015

2014

Ideal regularization for learning kernels from labels.

Binbin Pan, Jian-Huang Lai, Lixin Shen

Neural Networks, 2014

Supervised Kernel Construction for Unsupervised PCA on Face Recognition.

Yang Zhao, Wensheng Chen, Binbin Pan, Bo Chen

Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014

A Novel Cross Iterative Selection Method for Face Recognition.

Xiuli Dai, Wensheng Chen, Binbin Pan, Bo Chen

Proceedings of the Biometric Recognition - 9th Chinese Conference, 2014

2013

Non-negative Sparse Representation Based on Block NMF for Face Recognition.

Meng Chen, Wen-Sheng Chen, Bo Chen, Binbin Pan

Proceedings of the Biometric Recognition - 8th Chinese Conference, 2013

Learning Geometry-Aware Kernels in a Regularization Framework.

Binbin Pan, Wen-Sheng Chen

Proceedings of the Computer Analysis of Images and Patterns, 2013

2012

Incremental Kernel Ridge Regression for the Prediction of Soft Tissue Deformations.

Binbin Pan, James J. Xia, Peng Yuan, Jaime Gateno, Horace Ho-Shing Ip, Qizhen He, Philip K. M. Lee, Ben Chow, Xiaobo Zhou

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Learning kernels from labels with ideal regularization.

Binbin Pan, Jian-Huang Lai, Lixin Shen

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

2011

Nonlinear nonnegative matrix factorization based on Mercer kernel construction.

Binbin Pan, Jian-Huang Lai, Wen-Sheng Chen

Pattern Recognit., 2011

Learning low-rank Mercer kernels with fast-decaying spectrum.

Binbin Pan, Jian-Huang Lai, Pong Chi Yuen

Neurocomputing, 2011