Fanzhang Li

发表

Robust Neighborhood Preserving Projection by Nuclear/L2,1-Norm Regularization for Image Feature Extraction

Shuicheng Yan, Zhao Zhang, Fanzhang Li, 2017, IEEE Transactions on Image Processing.

Discriminative sparse flexible manifold embedding with novel graph for robust visual representation and label propagation

Yan Zhang, Shuicheng Yan, Zhao Zhang, 2017, Pattern Recognit..

Lie group impression for deep learning

Fanzhang Li, Mengduo Yang, 2017 .

Semi-Supervised Learning Algorithm Based on Lie Group

Fanzhang Li, Hanxiang Xu, 2009, 2009 WRI Global Congress on Intelligent Systems.

A Model of Data Reduction Based on Tensor Field

Fanzhang Li, Xiang Li, Xiangliang Li, 2009, 2009 WRI Global Congress on Intelligent Systems.

Task-adaptive Relation Dependent Network for Few-shot Learning

Fanzhang Li, Xi He, Li Liu, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

1. Dynamic fuzzy machine learning model

Fanzhang Li, Li Zhang, Zhao Zhang, 2017 .

Adaptive Weights and Sample’s Distribution for Few Shot Classification

Fanzhang Li, Tengyu Yang, 2022, 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

3. Dynamic fuzzy decision tree learning

Fanzhang Li, Li Zhang, Zhao Zhang, 2017 .

Adaptive Metric-weight and Bias Network for Few-shot Learning

Fanzhang Li, Jiaming Wang, 2022, 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Continual meta-learning algorithm

Fanzhang Li, Li Liu, Mengjuan Jiang, 2021, Applied Intelligence.

Class-wise Attention Reinforcement for Semi-supervised Meta-Learning

Fanzhang Li, Xiaohang Pan, 2022, 2022 26th International Conference on Pattern Recognition (ICPR).

Task-adaptive Few-shot Learning on Sphere Manifold

Fanzhang Li, Xi He, 2022, 2022 26th International Conference on Pattern Recognition (ICPR).

Prototype Augmentation with Dummy Samples

Fanzhang Li, Hong Yu, 2022, 2022 26th International Conference on Pattern Recognition (ICPR).

Self-Challenging Mask for Cross-Domain Few-Shot Classification

Fanzhang Li, Yixiao Ma, 2022, 2022 26th International Conference on Pattern Recognition (ICPR).

RDFS(c) Schema Inconsistency Checking Based on a Key Instance and Its Query Rewriting

Fanzhang Li, Xiaofei Zhao, Hongji Yang, 2023, IEEE Access.

Sparse Auto-encoder with Smoothed l1\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$l_1$$\end{document} Regularization

Li Zhang, Zhao Zhang, Fanzhang Li, 2017, Neural Processing Letters.

Sparse Auto-encoder with Smoothed l_1 Regularization

Zhao Zhang, Fanzhang Li, Li Zhang, 2018, ICONIP.

Spectral clustering based on similarity and dissimilarity criterion

Li Zhang, Zhao Zhang, Fanzhang Li, 2017, Pattern Analysis and Applications.

Projective label propagation by label embedding: A deep label prediction framework for representation and classification

Li Zhang, Zhao Zhang, Lei Jia, 2017, Knowl. Based Syst..

Bilinear Embedding Label Propagation: Towards Scalable Prediction of Image Labels

Zhao Zhang, Fanzhang Li, Weiming Jiang, 2015, IEEE Signal Processing Letters.

Projective Label Propagation by Label Embedding

Li Zhang, Zhao Zhang, Lei Jia, 2015, CAIP.

Nonnegative and Adaptive Multi-view Clustering

Fanzhang Li, Li Zhang, Peng Zou, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Feature clustering based support vector machine recursive feature elimination for gene selection

Li Zhang, Zhao Zhang, Fanzhang Li, 2018, Applied Intelligence.

Discriminative clustering on manifold for adaptive transductive classification

Li Zhang, Min Zhang, Zhao Zhang, 2017, Neural Networks.

Joint Low-Rank and Sparse Principal Feature Coding for Enhanced Robust Representation and Visual Classification

Li Zhang, Shuicheng Yan, Zhao Zhang, 2016, IEEE Transactions on Image Processing.

Bilinear low-rank coding framework and extension for robust image recovery and feature representation

Shuicheng Yan, Zhao Zhang, Fanzhang Li, 2015, Knowl. Based Syst..

Robust bilinear matrix recovery by Tensor Low-Rank Representation

Shuicheng Yan, Zhao Zhang, Fanzhang Li, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

MultiSpectralNet: Spectral Clustering Using Deep Neural Network for Multi-View Data

Mianxiong Dong, Kaoru Ota, Fanzhang Li, 2019, IEEE Transactions on Computational Social Systems.

Robust Adaptive Embedded Label Propagation With Weight Learning for Inductive Classification

Shuicheng Yan, Zhao Zhang, Lei Jia, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Semi-supervised local multi-manifold Isomap by linear embedding for feature extraction

Yan Zhang, Li Zhang, Zhao Zhang, 2018, Pattern Recognit..

Discriminative Sparse Coding by Nuclear Norm-Driven Semi-Supervised Dictionary Learning

Yan Zhang, Zhao Zhang, Fanzhang Li, 2016, PCM.

L1-Norm Driven Semi-supervised Local Discriminant Projection for Robust Image Representation

Zhao Zhang, Fanzhang Li, Xiaoyu Wang, 2015, 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI).

Semi-Supervised Image Classification by Nonnegative Sparse Neighborhood Propagation

Li Zhang, Zhao Zhang, Fanzhang Li, 2015, ICMR.

Transformed Neighborhood Propagation

Zhao Zhang, Fanzhang Li, Ming-Bo Zhao, 2014, 2014 22nd International Conference on Pattern Recognition.

A fast gene selection method for multi-cancer classification using multiple support vector data description

Jin Cao, Li Zhang, Fanzhang Li, 2015, J. Biomed. Informatics.

Applying 1-norm SVM with squared loss to gene selection for cancer classification

Li Zhang, Weida Zhou, Zhao Zhang, 2018, Applied Intelligence.

Feature Selection Based on the Kullback-Leibler Distance and its Application on Fault Diagnosis

Fanzhang Li, Li Zhang, Yangtao Xue, 2019, 2019 Seventh International Conference on Advanced Cloud and Big Data (CBD).

Kernel sparse representation-based classifier ensemble for face recognition

Li Zhang, Weida Zhou, Fanzhang Li, 2013, Multimedia Tools and Applications.

Li Zhang, Fanzhang Li, Peipei Xia, 2015, Inf. Sci..

Robust Alternating Low-Rank Representation by joint Lp- and L2, p-norm minimization

Li Zhang, Shuicheng Yan, Zhao Zhang, 2017, Neural Networks.

Joint Label Consistent Dictionary Learning and Adaptive Label Prediction for Semisupervised Machine Fault Classification

Li Zhang, Zhao Zhang, Fanzhang Li, 2016, IEEE Transactions on Industrial Informatics.

Incremental updating knowledge in neighborhood multigranulation rough sets under dynamic granular structures

Li Zhang, Zhao Zhang, Fanzhang Li, 2019, Knowl. Based Syst..

Continual meta-learning algorithm

Fanzhang Li, Li Liu, Mengjuan Jiang, 2021, Applied Intelligence.

Deep Belief Network and Closed Polygonal Line for Lung Segmentation in Chest Radiographs

Thomas Canhao Xu, Fanzhang Li, Yihuai Wang, 2020, Comput. J..

Improving Meta-Learning Classification with Prototype Enhancement

Fanzhang Li, Li Liu, Xiaohang Pan, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

A dynamic fuzzy multi-attribute group decision making method for supplier evaluation and selection

Fanzhang Li, Jiwen Yang, Ruirui Bai, 2014, The 26th Chinese Control and Decision Conference (2014 CCDC).

Iterated time series prediction with multiple support vector regression models

Pei-Chann Chang, Li Zhang, Weida Zhou, 2013, Neurocomputing.

Robust L1-norm matrixed locality preserving projection for discriminative subspace learning

Yan Zhang, Zhao Zhang, Fanzhang Li, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Parallel optimization of QoS-aware big service processes with discovery of skyline services

Fanzhang Li, Yanhua Du, Helan Liang, 2021, Future Gener. Comput. Syst..

DSA Image Fusion Based on Dynamic Fuzzy Logic and Curvelet Entropy

Fanzhang Li, Zhiming Cui, Jian Wu, 2009, J. Multim..

Kernel Sparse Representation-Based Classifier

Ting Wang, Pei-Chann Chang, Jing Liu, 2012, IEEE Transactions on Signal Processing.

DATA: A double auction based task assignment mechanism in crowdsourcing systems

He Huang, Wei Xu, Fanzhang Li, 2013, 2013 8th International Conference on Communications and Networking in China (CHINACOM).

Adaptively local consistent concept factorization for multi-view clustering

Fanzhang Li, Li Zhang, Mei Lu, 2022, Soft Computing.

Sparse Codes Auto-Extractor for Classification: A Joint Embedding and Dictionary Learning Framework for Representation

Tommy W. S. Chow, Li Zhang, Shuicheng Yan, 2016, IEEE Transactions on Signal Processing.

Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier

Shuicheng Yan, Zhao Zhang, Fanzhang Li, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Robust Projective Dictionary Learning by Joint Label Embedding and Classification

Shuicheng Yan, Zhao Zhang, Fanzhang Li, 2017, 2017 IEEE International Conference on Data Mining Workshops (ICDMW).

Semi-supervised concept factorization for document clustering

Fanzhang Li, Mei Lu, Li Zhang, 2016, Inf. Sci..

2. Dynamic fuzzy autonomic learning subspace algorithm

Zhao Zhang, Fanzhang Li, Li Zhang, 2017 .

Decision pyramid classifier for face recognition under complex variations using single sample per person

Li Zhang, Zhao Zhang, Fanzhang Li, 2017, Pattern Recognit..

A comprehensive multi-objective approach of service selection for service processes with twofold restrictions

Fanzhang Li, Ting Jiang, Yanhua Du, 2019, Future Gener. Comput. Syst..

Feature weight estimation based on dynamic representation and neighbor sparse reconstruction

Li Zhang, Zhao Zhang, Fanzhang Li, 2018, Pattern Recognit..

Deeper multi-column dilated convolutional network for congested crowd understanding

Fanzhang Li, Li Zhang, Leilei Yan, 2021, Neural Comput. Appl..

Deeper multi-column dilated convolutional network for congested crowd understanding

Fanzhang Li, Li Zhang, Xiaohan Zheng, 2021, Neural computing & applications (Print).

Kernel sparse representation-based classifier ensemble for face recognition

Fanzhang Li, Li Zhang, Weida Zhou, 2013, Multimedia Tools and Applications.

Nonlinear feature selection using Gaussian kernel SVM-RFE for fault diagnosis

Li Zhang, Zhao Zhang, Fanzhang Li, 2018, Applied Intelligence.

Context Adaptive Metric Model for Meta-learning

Fanzhang Li, Zhe Wang, Fanzhang Li, 2020, ICANN.

Deep learning algorithm with visual impression

Fanzhang Li, Li Zhang, Zhao Zhang, 2017, 2017 International Smart Cities Conference (ISC2).

Sparse Auto-encoder with Smoothed $$l_1$$l1 Regularization

Fanzhang Li, Li Zhang, Zhao Zhang, 2018, Neural Processing Letters.

Sparse signal reconstruction using decomposition algorithm

Ya-Ping Lu, Wei-Da Zhou, Li Zhang, 2013, Knowl. Based Syst..

Structured Latent Label Consistent Dictionary Learning for Salient Machine Faults Representation-Based Robust Classification

Li Zhang, Zhao Zhang, Fanzhang Li, 2017, IEEE Transactions on Industrial Informatics.

Constrained neighborhood preserving concept factorization for data representation

Li Zhang, Fanzhang Li, Xiang-Jun Zhao, 2016, Knowl. Based Syst..

A Matrix-Decomposition-Based Context Tensor Approach for Personalized Travel Time Estimation

Fanzhang Li, Xin Dai, Xiaopei Li, 2019, 2019 Seventh International Conference on Advanced Cloud and Big Data (CBD).

Supervised locally linear embedding algorithm based on orthogonal matching pursuit

Li Zhang, Fanzhang Li, Jiwen Yang, 2015, IET Image Process..

Object recognition via contextual color attention

Jian Yu, Jie Zhu, Fanzhang Li, 2015, J. Vis. Commun. Image Represent..

Li Zhang, Weida Zhou, Fanzhang Li, 2015, Comput. Biol. Medicine.

Robust Alternating Low-Rank Representation by joint Lp- and L2, p-norm minimization

Shuicheng Yan, Fanzhang Li, Mingbo Zhao, 2017, Neural Networks.

Semi-supervised label consistent dictionary learning for machine fault classification

Li Zhang, Zhao Zhang, Fanzhang Li, 2015, 2015 IEEE 13th International Conference on Industrial Informatics (INDIN).

Multi-view clustering via spectral embedding fusion

Zhao Zhang, Fanzhang Li, Li Zhang, 2018, Soft Comput..

Multi-view clustering via spectral embedding fusion

Fanzhang Li, Zhao Zhang, Li Zhang, 2018, Soft Computing - A Fusion of Foundations, Methodologies and Applications.

Simple yet effective color principal and discriminant feature extraction for representing and recognizing color images

Zhao Zhang, Fanzhang Li, Bing Li, 2015, Neurocomputing.

Unsupervised Ensemble Learning Based on Graph Embedding for Image Clustering

Fanzhang Li, Xiaohui Luo, Li Zhang, 2018, ICONIP.

Discriminant space metric network for few-shot image classification

Fanzhang Li, Li Zhang, Xiaohan Zheng, 2023, Applied Intelligence.

Graph Embedding-Based Ensemble Learning for Image Clustering

Fanzhang Li, Xiaohui Luo, Li Zhang, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

A Model of Context Awareness Agent System Based on Dynamic Fuzzy Logic

Yu Zhang, Fanzhang Li, Fanzhang Li, 2007, Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007).