Zhao Zhang

发表

Joint nuclear-norm nonlinear Manifold Learning and robust Classification by linear embedding

Yan Zhang, Zhao Zhang, Lei Jia, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Sparse Auto-encoder with Smoothed l_1 Regularization

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

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.

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

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

Extreme-scale scripting: Opportunities for large task-parallel applications on petascale computers

Zhao Zhang, Ian Foster, Ioan Raicu, 2009 .

SEMISUPERVISED MULTIMODAL DIMENSIONALITY REDUCTION

Tommy W. S. Chow, Zhao Zhang, Ning Ye, 2013, Comput. Intell..

Iterative Local Hyperlinear Learning Based Relief for Feature Weight Estimation

Li Zhang, Zhao Zhang, Fanzhang Li, 2017, ICONIP.

Convolutional Neural Network Training with Distributed K-FAC pdf

Ian T. Foster, Zhao Zhang, Weijia Xu, 2020, SC20: International Conference for High Performance Computing, Networking, Storage and Analysis.

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).

ITR-Score algorithm: An efficient Trace ratio criterion based algorithm for supervised dimensionality reduction

Tommy W. S. Chow, Zhao Zhang, Ming-Bo Zhao, 2011, The 2011 International Joint Conference on Neural Networks.

Subspace Clustering via Adaptive Low-Rank Model

Zhao Zhang, Choujun Zhan, Mingbo Zhao, 2017, ICONIP.

Binary- and Multi-class Group Sparse Canonical Correlation Analysis for Feature Extraction and Classification

Tommy W. S. Chow, Zhao Zhang, Ming-Bo Zhao, 2013, IEEE Transactions on Knowledge and Data Engineering.

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

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

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

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

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.

Learning from local and global discriminative information for semi-supervised dimensionality reduction

Zhao Zhang, Haijun Zhang, Ming-Bo Zhao, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Robust image representation and decomposition by Laplacian regularized latent low-rank representation

Shuicheng Yan, Zhao Zhang, Ming-Bo Zhao, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Adaptive non-negative projective semi-supervised learning for inductive classification

Meng Wang, Min Zhang, Zhao Zhang, 2018, Neural Networks.

Extracting the informative constraints for semi-supervised marginal projections in multimodal dimensionality reduction

Tommy W. S. Chow, Zhao Zhang, Ming-Bo Zhao, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Automatic image annotation via compact graph based semi-supervised learning

Tommy W. S. Chow, Zhao Zhang, Bing Li, 2015, Knowl. Based Syst..

M-Isomap: Orthogonal Constrained Marginal Isomap for Nonlinear Dimensionality Reduction

Tommy W. S. Chow, Zhao Zhang, Ming-Bo Zhao, 2013, IEEE Transactions on Cybernetics.

Transductive Classification by Robust Linear Neighborhood Propagation

Zhao Zhang, Lei Jia, Weiming Jiang, 2016, PCM.

A soft label based linear discriminant analysis for semi-supervised dimensionality reduction

Zhao Zhang, Haijun Zhang, Ming-Bo Zhao, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

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).

Two-Dimensional Soft Linear Discriminant Projection for Robust Image Feature Extraction and Recognition

Zhao Zhang, Weiming Jiang, Yu Tang, 2016, ICONIP.

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

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

Concurrency Protocol Aiming at High Performance of Execution and Replay for Smart Contracts pdf

Aoying Zhou, Zhao Zhang, Cheqing Jin, 2019, ArXiv.

Robust image recognition by L1-norm twin-projection support vector machine

Zhao Zhang, Bing Li, Zhenfeng Gu, 2017, Neurocomputing.

Fault diagnosis of rolling element bearings via discriminative subspace learning: Visualization and classification

Zhao Zhang, Bing Li, Xiaohang Jin, 2014, Expert Syst. Appl..

Mutual-manifold regularized robust fast latent LRR for subspace recovery and learning

Zhao Zhang, Meng Wang, Li Zhang, 2019, Neural Computing and Applications.

An Efficient Model-Free Approach for Controlling Large-Scale Canals via Hierarchical Reinforcement Learning

Xiaohui Lei, Zhao Zhang, Jiyan Wu, 2021, IEEE Transactions on Industrial Informatics.

Robust Neighborhood Preserving Low-Rank Sparse CNN Features for Classification

Zhao Zhang, Mingbo Zhao, Zemin Tang, 2018, 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).

Bilinear Embedding Label Propagation: Towards Scalable Prediction of Image Labels

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

Multi-view clustering via spectral embedding fusion

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

Towards Rich Qery Blockchain Database

Zhao Zhang, Cheqing Jin, Aoying Zhou, 2020, CIKM.

On the Theoretical and Computational Analysis between SDA and Lap-LDA

Tommy W. S. Chow, Zhao Zhang, Ming-Bo Zhao, 2012, 2012 IEEE 24th International Conference on Tools with Artificial Intelligence.

Lp- and Ls-Norm Distance Based Robust Linear Discriminant Analysis

Zhao Zhang, Qiaolin Ye, Henghao Zhao, 2018, Neural Networks.

An Effective Nuclear Extraction Mask Method for SVM Classification

Zhao Zhang, Chao Feng, Qinghua Li, 2020, 2020 5th International Conference on Computer and Communication Systems (ICCCS).

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

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

Chenping Hou, Guangcan Liu, Zhao Zhang, 2018, PRICAI.

On the theoretical and computational analysis between Trace Ratio LDA and null-space LDA

Tommy W. S. Chow, Zhao Zhang, Zhou Wu, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Semi-supervised Classification by Nuclear-Norm Based Transductive Label Propagation

Yan Zhang, Zhao Zhang, Lei Jia, 2016, ICONIP.

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.

Graph based semi-supervised classification via capped l2, 1-norm regularized dictionary learning

Wei Wang, Zhao Zhang, Choujun Zhan, 2017, 2017 IEEE 15th International Conference on Industrial Informatics (INDIN).

A general soft label based Linear Discriminant Analysis for semi-supervised dimensionality reduction

Tommy W. S. Chow, Zhao Zhang, Bing Li, 2014, Neural Networks.

Shuicheng Yan, Zhao Zhang, Ming-Bo Zhao, 2014, Neural Networks.

A fast approximation algorithm for 1-norm SVM with squared loss

Li Zhang, Weida Zhou, Zhao Zhang, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Analysis of communication reliability in NarrowBand‐IoT oriented wireless sensor networks

Guisong Yang, Zhao Zhang, Tingting Liang, 2020 .

Handwriting representation and recognition through a sparse projection and low-rank recovery framework

Zhao Zhang, Cheng-Lin Liu, Ming-Bo Zhao, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Graph Based Constrained Semi-Supervised Learning Framework via Label Propagation over Adaptive Neighborhood

Tommy W. S. Chow, Zhao Zhang, Ming-Bo Zhao, 2015, IEEE Transactions on Knowledge and Data Engineering.

A scalable sub-graph regularization for efficient content based image retrieval with long-term relevance feedback enhancement

Jicong Fan, Zhao Zhang, Jiao Liu, 2020, Knowl. Based Syst..

Trace ratio criterion based generalized discriminative learning for semi-supervised dimensionality reduction

Tommy W. S. Chow, Zhao Zhang, Ming-Bo Zhao, 2012, Pattern Recognit..

Constrained large Margin Local Projection algorithms and extensions for multimodal dimensionality reduction

Tommy W. S. Chow, Zhao Zhang, Ming-Bo Zhao, 2012, Pattern Recognit..

Adaptive Neighborhood Propagation by Joint L2,1-Norm Regularized Sparse Coding for Representation and Classification

Zhao Zhang, Lei Jia, Lei Wang, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Joint lp- and l2,p-norm minimization for subspace clustering with outlier pursuit

Zhao Zhang, Haijun Zhang, Ming-Bo Zhao, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

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

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

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..

Robust Weight-Constraint Decorrelation Normalized Maximum Versoria Algorithm

Zhao Zhang, Jiashu Zhang, Sheng Zhang, 2019, 2019 Ninth International Workshop on Signal Design and its Applications in Communications (IWSDA).

Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning

Guangcan Liu, Zhao Zhang, Weiming Jiang, 2019, IJCAI.

Feature weight estimation based on dynamic representation and neighbor sparse reconstruction

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

Trace Ratio Optimization-Based Semi-Supervised Nonlinear Dimensionality Reduction for Marginal Manifold Visualization

Tommy W. S. Chow, Zhao Zhang, Ming-Bo Zhao, 2013, IEEE Transactions on Knowledge and Data Engineering.

Adaptive Multiple-View Label Propagation for Semi-supervised Classification

Zhao Zhang, Lei Jia, Huan Zhang, 2020 .

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.

Random walk-based fuzzy linear discriminant analysis for dimensionality reduction

Tommy W. S. Chow, Zhao Zhang, Ming-Bo Zhao, 2012, Soft Comput..

Anchored Projection Based Capped l_2, 1 -Norm Regression for Super-Resolution

Jicong Fan, Zhao Zhang, Choujun Zhan, 2018, PRICAI.

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.

Fast Deep Neural Network Training on Distributed Systems and Cloud TPUs

James Demmel, Kurt Keutzer, Cho-Jui Hsieh, 2019, IEEE Transactions on Parallel and Distributed Systems.

A Sparse Projection and Low-Rank Recovery Framework for Handwriting Representation and Salient Stroke Feature Extraction

Zhao Zhang, Cheng-Lin Liu, Ming-Bo Zhao, 2015, ACM Trans. Intell. Syst. Technol..

Nuclear-norm regularized neighborhood preserving projection

Li Zhang, Shuicheng Yan, Zhao Zhang, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Pairwise Sparsity Preserving Embedding for Unsupervised Subspace Learning and Classification

Shuicheng Yan, Zhao Zhang, Mingbo Zhao, 2013, IEEE Transactions on Image Processing.

Hidden Space Neighbourhood Component Analysis for Cancer Classification

Li Zhang, Zhao Zhang, Fanzhang Li, 2016, ICONIP.

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

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

Robust bilinear matrix recovery by Tensor Low-Rank Representation

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

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

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

Fault Detection, Isolation and Estimation for Linear Systems with Partial Disturbance Decoupling*

Zhao Zhang, Xiao He, Muheng Wei, 2020, 2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA).

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.

Metro Scheduling to Minimize Travel Time and Operating Cost Considering Spatial and Temporal Constraints on Passenger Boarding

Zhao Zhang, Yun Bai, Haiyang Guo, 2020, IEEE Access.

DIMC-net: Deep Incomplete Multi-view Clustering Network

Bob Zhang, Zhao Zhang, Lunke Fei, 2020, ACM Multimedia.

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.

Tensor Locally Linear Discriminative Analysis

Tommy W. S. Chow, Zhao Zhang, T. Chow, 2011, IEEE Signal Processing Letters.

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).

Content Centric Network With Label Aided User Modeling and Cellular Partition

Hai Lin, Zhao Zhang, Feifei Gao, 2017, IEEE Access.

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

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

Can the Virtual Labels Obtained by Traditional LP Approaches Be Well Encoded in WLR?

Jian Yang, Zhao Zhang, Qiaolin Ye, 2016, IEEE Transactions on Neural Networks and Learning 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.

Marginal semi-supervised sub-manifold projections with informative constraints for dimensionality reduction and recognition

Tommy W. S. Chow, Zhao Zhang, Ming-Bo Zhao, 2012, Neural Networks.

Discriminative clustering on manifold for adaptive transductive classification

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

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

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

Robust linearly optimized discriminant analysis

Tommy W. S. Chow, Zhao Zhang, T. Chow, 2012, Neurocomputing.

Spectral clustering based on similarity and dissimilarity criterion

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

Label propagation and soft-similarity measure for graph based Constrained Semi-Supervised Learning

Tommy W. S. Chow, Zhao Zhang, Ming-Bo Zhao, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Latent label consistent K-SVD for joint machine faults representation and classification

Zhao Zhang, Lei Jia, Fanzhang Li, 2016, 2016 IEEE 14th International Conference on Industrial Informatics (INDIN).

ColorPCA: Color principal feature extraction technique for color image reconstruction and recognition

Zhao Zhang, Bing Li, Peng Tang, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

A GPU-Based Lagrange Multiplier Optimization for Dynamic Economic Dispatch Aiming to Reduce Wind Power Curtailment

Gang Liu, Zhao Zhang, Miao Liu, 2018 .

Maximum Margin Multisurface Support Tensor Machines with application to image classification and segmentation

Tommy W. S. Chow, Zhao Zhang, T. Chow, 2012, Expert Syst. Appl..

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.

Trace Ratio Criterion based Discriminative Feature Selection via l2, p-norm regularization for supervised learning

Zhao Zhang, Mingbo Zhao, Bernard Chiu, 2018, Neurocomputing.

BFT-Store: Storage Partition for Permissioned Blockchain via Erasure Coding

Zhao Zhang, Cheqing Jin, Aoying Zhou, 2020, 2020 IEEE 36th International Conference on Data Engineering (ICDE).

Robust Adaptive Label Propagation by Double Matrix Decomposition

Meng Wang, Zhao Zhang, Sheng Li, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Projective Label Propagation by Label Embedding

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

Robust Soft Semi-supervised Discriminant Projection for Feature Learning

Yan Zhang, Zhao Zhang, Xiaoyu Wang, 2016, ICONIP.

FusionFS : a distributed file system for large scale data-intensive computing

Zhao Zhang, Ioan Raicu, Dongfang Zhao, 2013 .