Fanzhang Li

According to our database1, Fanzhang Li authored at least 93 papers between 2005 and 2020.

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Bibliography

2020
Multi-Stage Meta-Learning for Few-Shot with Lie Group Network Constraint.
Entropy, 2020

Context Adaptive Metric Model for Meta-learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019
MultiSpectralNet: Spectral Clustering Using Deep Neural Network for Multi-View Data.
IEEE Trans. Comput. Soc. Syst., 2019

Multi-view clustering via spectral embedding fusion.
Soft Comput., 2019

Incremental updating knowledge in neighborhood multigranulation rough sets under dynamic granular structures.
Knowl. Based Syst., 2019

A comprehensive multi-objective approach of service selection for service processes with twofold restrictions.
Future Gener. Comput. Syst., 2019

Persistent Transportation Traffic Volume Estimation with Differential Privacy.
Proceedings of the 2019 IEEE SmartWorld, 2019

A Novel Recommender System using Hidden Bayesian Probabilistic Model based Collaborative Filtering.
Proceedings of the International Joint Conference on Neural Networks, 2019

Feature Selection Based on the Kullback-Leibler Distance and its Application on Fault Diagnosis.
Proceedings of the Seventh International Conference on Advanced Cloud and Big Data, 2019

A Matrix-Decomposition-Based Context Tensor Approach for Personalized Travel Time Estimation.
Proceedings of the Seventh International Conference on Advanced Cloud and Big Data, 2019

2018
Robust Adaptive Embedded Label Propagation With Weight Learning for Inductive Classification.
IEEE Trans. Neural Networks Learn. Syst., 2018

Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier.
IEEE Trans. Neural Networks Learn. Syst., 2018

Semi-supervised local multi-manifold Isomap by linear embedding for feature extraction.
Pattern Recognit., 2018

Feature weight estimation based on dynamic representation and neighbor sparse reconstruction.
Pattern Recognit., 2018

Sparse Auto-encoder with Smoothed l<sub>1</sub> Regularization.
Neural Process. Lett., 2018

多李群覆盖学习优化算法 (Optimization Algorithm of Multiply Lie Group Covering Learning Algorithm).
计算机科学, 2018

Lie group impression for deep learning.
Inf. Process. Lett., 2018

Deep learning algorithm with visual impression.
Inf. Process. Lett., 2018

Business value-aware task scheduling for hybrid IaaS cloud.
Decis. Support Syst., 2018

Applying 1-norm SVM with squared loss to gene selection for cancer classification.
Appl. Intell., 2018

Nonlinear feature selection using Gaussian kernel SVM-RFE for fault diagnosis.
Appl. Intell., 2018

Feature clustering based support vector machine recursive feature elimination for gene selection.
Appl. Intell., 2018

Nonnegative and Adaptive Multi-view Clustering.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Multi-Source Clustering based on spectral recovery.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

MSSVT: Multi-scale feature extraction for single face recognition.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

A Novel Model for Multi-label Image Annotation.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Graph Embedding-Based Ensemble Learning for Image Clustering.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Spectral Embedded Clustering on Multi-Manifold.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Robust Multi-view Features Fusion Method Based on CNMF.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Unsupervised Ensemble Learning Based on Graph Embedding for Image Clustering.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Robust Neighborhood Preserving Projection by Nuclear/L2, 1-Norm Regularization for Image Feature Extraction.
IEEE Trans. Image Process., 2017

Structured Latent Label Consistent Dictionary Learning for Salient Machine Faults Representation-Based Robust Classification.
IEEE Trans. Ind. Informatics, 2017

Discriminative sparse flexible manifold embedding with novel graph for robust visual representation and label propagation.
Pattern Recognit., 2017

Decision pyramid classifier for face recognition under complex variations using single sample per person.
Pattern Recognit., 2017

Spectral clustering based on similarity and dissimilarity criterion.
Pattern Anal. Appl., 2017

Robust Alternating Low-Rank Representation by joint Lp- and L2, p-norm minimization.
Neural Networks, 2017

Discriminative clustering on manifold for adaptive transductive classification.
Neural Networks, 2017

Projective label propagation by label embedding: A deep label prediction framework for representation and classification.
Knowl. Based Syst., 2017

Supervised orthogonal discriminant projection based on double adjacency graphs for image classification.
IET Image Process., 2017

Supervised sparse neighbourhood preserving embedding.
IET Image Process., 2017

An Altered Kernel Transformation for Time Series Classification.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Low-Frequency Representation for Face Recognition.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Iterative Local Hyperlinear Learning Based Relief for Feature Weight Estimation.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Robust Projective Dictionary Learning by Joint Label Embedding and Classification.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016
Sparse Codes Auto-Extractor for Classification: A Joint Embedding and Dictionary Learning Framework for Representation.
IEEE Trans. Signal Process., 2016

Joint Low-Rank and Sparse Principal Feature Coding for Enhanced Robust Representation and Visual Classification.
IEEE Trans. Image Process., 2016

Joint Label Consistent Dictionary Learning and Adaptive Label Prediction for Semisupervised Machine Fault Classification.
IEEE Trans. Ind. Informatics, 2016

Constrained neighborhood preserving concept factorization for data representation.
Knowl. Based Syst., 2016

Semi-supervised concept factorization for document clustering.
Inf. Sci., 2016

Discriminative Sparse Coding by Nuclear Norm-Driven Semi-Supervised Dictionary Learning.
Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

Latent label consistent K-SVD for joint machine faults representation and classification.
Proceedings of the 14th IEEE International Conference on Industrial Informatics, 2016

Joint nuclear-norm nonlinear Manifold Learning and robust Classification by linear embedding.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Robust L1-norm matrixed locality preserving projection for discriminative subspace learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Sparse Auto-encoder with Smoothed l_1 Regularization.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Hidden Space Neighbourhood Component Analysis for Cancer Classification.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Time Series Classification Based on Multi-codebook Important Time Subsequence Approximation Algorithm.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Nuclear-norm regularized neighborhood preserving projection.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

An Efficient Task Assignment Mechanism for Crowdsensing Systems.
Proceedings of the Cloud Computing and Security - Second International Conference, 2016

2015
Bilinear Embedding Label Propagation: Towards Scalable Prediction of Image Labels.
IEEE Signal Process. Lett., 2015

Kernel sparse representation-based classifier ensemble for face recognition.
Multim. Tools Appl., 2015

Bilinear low-rank coding framework and extension for robust image recovery and feature representation.
Knowl. Based Syst., 2015

Object recognition via contextual color attention.
J. Vis. Commun. Image Represent., 2015

A fast gene selection method for multi-cancer classification using multiple support vector data description.
J. Biomed. Informatics, 2015

Learning similarity with cosine similarity ensemble.
Inf. Sci., 2015

Simple yet effective color principal and discriminant feature extraction for representing and recognizing color images.
Neurocomputing, 2015

Supervised locally linear embedding algorithm based on orthogonal matching pursuit.
IET Image Process., 2015

Similarity-balanced discriminant neighbor embedding and its application to cancer classification based on gene expression data.
Comput. Biol. Medicine, 2015

Spectrum Allocation Mechanisms in Wireless Networks with Performance Guarantee.
Ad Hoc Sens. Wirel. Networks, 2015

Semi-Supervised Image Classification by Nonnegative Sparse Neighborhood Propagation.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

Semi-supervised label consistent dictionary learning for machine fault classification.
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015

L1-Norm Driven Semi-supervised Local Discriminant Projection for Robust Image Representation.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Projective Label Propagation by Label Embedding.
Proceedings of the Computer Analysis of Images and Patterns, 2015

2014
Robust bilinear matrix recovery by Tensor Low-Rank Representation.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Transformed Neighborhood Propagation.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
Sparse signal reconstruction using decomposition algorithm.
Knowl. Based Syst., 2013

Iterated time series prediction with multiple support vector regression models.
Neurocomputing, 2013

2012
Kernel Sparse Representation-Based Classifier.
IEEE Trans. Signal Process., 2012

Cascaded cluster ensembles.
Int. J. Mach. Learn. Cybern., 2012

2011
The Estimation Algorithm of Laplacian Eigenvalues for the Tangent Bundle.
Proceedings of the Seventh International Conference on Computational Intelligence and Security, 2011

Dynamic Fuzzy Semisupervised Multitask Learning.
Proceedings of the Seventh International Conference on Computational Intelligence and Security, 2011

2010
Research on Mapping Mechanism of Learning Expression.
Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010

2009
Categorical Description of Dynamic Fuzzy Logic Programming Language.
J. Softw., 2009

DSA Image Fusion Based on Dynamic Fuzzy Logic and Curvelet Entropy.
J. Multim., 2009

2007
Autonomic Learning Model and Algorithm Based on DFL.
Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007

A Symmetrical Linear Transform Learning Algorithm on Quantum Group.
Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007

A Model of Context Awareness Agent System Based on Dynamic Fuzzy Logic.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

Research of the Symplectic Group Classifier Based on Lie Group Machine Learning.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

2006
Denotational semantics of dynamic fuzzy logic programming language.
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006

Lie group machine learning's axiom hypothesizes.
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006

Default assumption reasoning based on DFL.
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006

2005
The design and application of dynamic fuzzy expert database system.
Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005

A multi-agent learning model based on dynamic fuzzy logic.
Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005

The design of an autonomic computing model and the algorithm for decision-making.
Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005


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