Changshui Zhang

发表

Efficient multi-label classification with hypergraph regularization

Gang Chen, Jianwen Zhang, Fei Wang, 2009, CVPR.

Changshui Zhang, Yungang Zhang, Shijun Wang, 2003, ECML.

Real-Time Traffic Light Detection With Adaptive Background Suppression Filter

Changshui Zhang, Zhenwei Shi, Zhengxia Zou, 2016, IEEE Transactions on Intelligent Transportation Systems.

Active model selection for Graph-Based Semi-Supervised Learning

Fei Wang, Bin Zhao, Changshui Zhang, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Regularized Tree Partitioning and Its Application to Unsupervised Image Segmentation

Long Quan, Xian-Sheng Hua, Changshui Zhang, 2014, IEEE Transactions on Image Processing.

Type II Topological Logic C1T and Approximate Reasoning

Changshui Zhang, Yalin Zheng, Yinglong Xia, 2005, FSKD.

Instance- and bag-level manifold regularization for aggregate outputs classification

Bin Liu, Changshui Zhang, Shuo Chen, 2009, CIKM.

SVM-SVDD: A New Method to Solve Data Description Problem with Negative Examples

Changshui Zhang, Zhigang Wang, Zeng-Shun Zhao, 2013, ISNN.

Kernel GMM and its application to image binarization

Changshui Zhang, Jingdong Wang, Jianguo Lee, 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

On the Scale-Free Intersection Graphs

Changshui Zhang, Xin Yao, Yanda Li, 2005, ICCSA.

High-dimensional Inference via Lipschitz Sparsity-Yielding Regularizers

Changshui Zhang, Zheng Pan, Changshui Zhang, 2013, AISTATS.

Interactive Natural Image Segmentation via Spline Regression

Feiping Nie, Shiming Xiang, Chunxia Zhang, 2009, IEEE Transactions on Image Processing.

Mixture Random Effect Model Based Meta-analysis for Medical Data Mining

Changshui Zhang, Yinglong Xia, Shifeng Weng, 2005, MLDM.

Blind Separation of Superimposed Moving Images Using Image Statistics

Changshui Zhang, Zhenwei Shi, Kun Gai, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Efficient Sparse Recovery via Adaptive Non-Convex Regularizers with Oracle Property

Rong Jin, Changshui Zhang, Ming Lin, 2014, UAI.

Spectral feature analysis

Changshui Zhang, Fei Wang, Jingdong Wang, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

Semi-Supervised Classification via Local Spline Regression

Feiping Nie, Shiming Xiang, Changshui Zhang, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Efficient Nonnegative Matrix Factorization via projected Newton method

Changshui Zhang, Pinghua Gong, Pinghua Gong, 2012, Pattern Recognit..

A general framework for transfer sparse subspace learning

Yi Wu, Chenping Hou, Changshui Zhang, 2012, Neural Computing and Applications.

Active curve axis Gaussian mixture models

Changshui Zhang, Xing Yi, Baibo Zhang, 2005, Pattern Recognit..

Palmprint recognition using crease

Jun Chen, Gang Rong, Changshui Zhang, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

On the Sample Complexity of Random Fourier Features for Online Learning

Changshui Zhang, Ming Lin, Shifeng Weng, 2014, ACM Trans. Knowl. Discov. Data.

Towards optimal query design for relevance feedback in image retrieval

Changshui Zhang, Jingyu Cui, Jingyu Cui, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

A New Approach to Human Motion Sequence Recognition with Application to Diving Actions

Shiming Xiang, Xiaoping Chen, Changshui Zhang, 2005, MLDM.

W-Boost and its application to Web image classification

Jingrui He, Mingjing Li, Changshui Zhang, 2004, ICPR 2004.

Semi-Supervised Mean Fields

Ole Winther, Fei Wang, Changshui Zhang, 2007, AISTATS.

Deep Defense: Training DNNs with Improved Adversarial Robustness

Changshui Zhang, Yiwen Guo, Ziang Yan, 2018, NeurIPS.

A brief introduction to the special issue for ISNN2010

Liqing Zhang, Changshui Zhang, James T. Kwok, 2012, Neurocomputing.

marginFace: A novel face recognition method by average neighborhood margin maximization

Daoqiang Zhang, Fei Wang, Changshui Zhang, 2009, Pattern Recognit..

Switching ARIMA model based forecasting for traffic flow

Changshui Zhang, Guoqiang Yu, Changshui Zhang, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Using a Random Subspace Predictor to Integrate Spatial and Temporal Information for Traffic Flow Forecasting

Shiliang Sun, Changshui Zhang, 2005, ICNC.

Neural Network Architecture Optimization through Submodularity and Supermodularity pdf

Changshui Zhang, Nan Jiang, Junqi Jin, 2016, ArXiv.

Nonlinear Dimensionality Reduction

Shiming Xiang, Changshui Zhang, Chunxia Zhang, 2021, Computer Vision.

Kernel K-means Based Framework for Aggregate Outputs Classification

Bin Liu, Changshui Zhang, Shuo Chen, 2009, 2009 IEEE International Conference on Data Mining Workshops.

Transferred Dimensionality Reduction

Changshui Zhang, Zheng Wang, Yangqiu Song, 2008, ECML/PKDD.

A Fixed-Point Algorithm for Blind Separation of Temporally Correlated Sources

Dan Zhang, Changshui Zhang, Zhenwei Shi, 2007, 2007 IEEE International Conference on Multimedia and Expo.

Sparse DNNs with Improved Adversarial Robustness

Changshui Zhang, Chao Zhang, Yurong Chen, 2018, NeurIPS.

An In-field Automatic Wheat Disease Diagnosis System

Changshui Zhang, Jie Hu, Guannan Zhao, 2017, Comput. Electron. Agric..

Fault-Tolerant EM Algorithm for GMM in Sensor Networks

Changshui Zhang, Yinglong Xia, Shifeng Weng, 2005, DMIN.

Domain Transfer via Multiple Sources Regularization

Changshui Zhang, Jiangtao Ren, Shaofeng Hu, 2014, PAKDD.

Semi-Supervised Clustering via Matrix Factorization

Fei Wang, Changshui Zhang, Tao Li, 2008, SDM.

Ranking with semi-supervised distance metric learning and its application to housing potential estimation

Changshui Zhang, Wen Jun Yin, Jin Dong, 2007, CIKM '07.

Estimating Fractal Intrinsic Dimension from the Neighborhood

Changshui Zhang, Qutang Cai, 2006, ISNN.

Front-view vehicle detection by Markov chain Monte Carlo method

Changshui Zhang, Yangqing Jia, Yangqing Jia, 2009, Pattern Recognition.

Nonlinear Dimensionality Reduction with Local Spline Embedding

Feiping Nie, Shiming Xiang, Chunxia Zhang, 2009, IEEE Transactions on Knowledge and Data Engineering.

Robust text image alignment with template for information retrieval

Changshui Zhang, Jie Hu, Runpeng Cui, 2017, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Machine Learning Way for Boosting Accuracy in Canonical Correlation Analysis based Frequency Recognition

Xiaorong Gao, Changshui Zhang, Zhonglin Lin, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Robust self-tuning semi-supervised learning

Fei Wang, Changshui Zhang, Fei Wang, 2007, Neurocomputing.

A novel unsupervised approach to discovering regions of interest in traffic images

Ying Wu, Changshui Zhang, Zhenwei Shi, 2015, Pattern Recognit..

Cuts3vm: a fast semi-supervised svm algorithm

Fei Wang, Bin Zhao, Changshui Zhang, 2008, KDD.

Deep transformer: A framework for 2D text image rectification from planar transformations

Changshui Zhang, Jie Hu, Chengzhe Yan, 2018, Neurocomputing.

Manifold-ranking based image retrieval

Jingrui He, Hanghang Tong, Mingjing Li, 2004, MULTIMEDIA '04.

Semi-supervised Multi-label Learning by Solving a Sylvester Equation

Gang Chen, Fei Wang, Changshui Zhang, 2008, SDM.

A Multi-agent Based approach to Modelling and Rendering of 3D Tree Bark Textures

Changshui Zhang, Shu Wei, Ban Tao, 2003, ECAL.

Human eyes detection using hybrid neural method

Changshui Zhang, Hui Peng, Zhaoqi Bian, 1998, ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344).

Efficient Superimposition Recovering Algorithm pdf

Changshui Zhang, Han Li, Kun Gai, 2012, ArXiv.

Robust finite mixture regression for heterogeneous targets

Fei Wang, Changshui Zhang, Ming Lin, 2018, Data Mining and Knowledge Discovery.

Semisupervised Learning Based on Generalized Point Charge Models

Fei Wang, Changshui Zhang, 2008, IEEE Transactions on Neural Networks.

Efficient blind separation of reflection layers with nonparametric transformations

Changshui Zhang, Han Li, Kun Gai, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Multi-View Local Learning

Fei Wang, Dan Zhang, Changshui Zhang, 2008, AAAI.

Trace Ratio Problem Revisited

Feiping Nie, Changshui Zhang, Yangqing Jia, 2009, IEEE Transactions on Neural Networks.

Mean version space: a new active learning method for content-based image retrieval

Jingrui He, Hanghang Tong, Mingjing Li, 2004, MIR '04.

Contour Matching Based on Belief Propagation

Feiping Nie, Shiming Xiang, Changshui Zhang, 2006, ACCV.

Linear Neighborhood Propagation and Its Applications

Helen C. Shen, Fei Wang, Long Quan, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Graph-Based Semi-Supervised Learning on Evolutionary Data

Weibei Dou, Changshui Zhang, Yifei Yang, 2015, IScIDE.

Learning high-dimensional correspondence via manifold learning and local approximation

Feiping Nie, Chenping Hou, Dongyun Yi, 2013, Neural Computing and Applications.

Probabilistic tangent subspace: a unified view

Changshui Zhang, Jingdong Wang, Jianguo Lee, 2004, ICML.

Network Boosting for BCI Applications

Changshui Zhang, Shijun Wang, Zhonglin Lin, 2005, Discovery Science.

Blind separation of superimposed images with unknown motions

Changshui Zhang, Zhenwei Shi, Kun Gai, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

An Accelerated Linearly Convergent Stochastic L-BFGS Algorithm

Shiliang Sun, Changshui Zhang, Daqing Chang, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Semi-supervised discriminative classification with application to tumorous tissues segmentation of MR brain images

Fei Wang, Dan Zhang, Shiming Xiang, 2009, Pattern Analysis and Applications.

Fingerprint Ridge Line Extraction Based on Tracing and Directional Feedback

Changshui Zhang, Rui Ma, Jiaxin Wang, 2005, CIS.

A new algorithm for character segmentation of license plate

Changshui Zhang, Yungang Zhang, 2003, IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683).

Solving job-shop scheduling problem with priority using neural network

Changshui Zhang, Tong Chang, Pingfan Yan, 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.

Self-enhanced relevant component analysis with side-information and unlabeled data

Changshui Zhang, Fei Wu, Yonglei Zhou, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Embedding new data points for manifold learning via coordinate propagation

Feiping Nie, Shiming Xiang, Chunxia Zhang, 2007, Knowledge and Information Systems.

Frequency recognition based on canonical correlation analysis for SSVEP-based BCIs

Wei Wu, Xiaorong Gao, Changshui Zhang, 2007, IEEE Transactions on Biomedical Engineering.

Semi-Supervised Classification on Evolutionary Data

Shuicheng Yan, Changshui Zhang, Yangqing Jia, 2009, IJCAI.

A Random Walks Method for Text Classification

Changshui Zhang, Xing Yi, Yunpeng Xu, 2006, SDM.

A novel approach to fingerprint ridge line extraction

Changshui Zhang, Yaxuan Qi, Jiaxin Wang, 2005, IEEE International Symposium on Communications and Information Technology, 2005. ISCIT 2005..

Poster paper: Predicting seizures from electroencephalography recordings: A knowledge transfer strategy

Fei Wang, Changshui Zhang, Jian Liang, 2016, 2016 IEEE International Conference on Healthcare Informatics (ICHI).

Image-Text Surgery: Efficient Concept Learning in Image Captioning by Generating Pseudopairs

Changshui Zhang, Junqi Jin, Jin Li, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Spline Embedding for Nonlinear Dimensionality Reduction

Feiping Nie, Shiming Xiang, Chunxia Zhang, 2006, ECML.

A unified optimization based learning method for image retrieval

Wei-Ying Ma, Jingrui He, Hanghang Tong, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Smoothness Maximization via Gradient Descents

Fei Wang, Bin Zhao, Changshui Zhang, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Trace Ratio Criterion for Feature Selection

Feiping Nie, Shiming Xiang, Shuicheng Yan, 2008, AAAI.

Unsupervised Large Margin Discriminative Projection

Fei Wang, Bin Zhao, Changshui Zhang, 2011, IEEE Transactions on Neural Networks.

Semi-blind source extraction for fetal electrocardiogram extraction by combining non-Gaussianity and time-correlation

Changshui Zhang, Zhenwei Shi, Changshui Zhang, 2007, Neurocomputing.

Multi-view EM Algorithm for Finite Mixture Models

Changshui Zhang, Xing Yi, Yunpeng Xu, 2005, ICAPR.

Learning similarity metric with SVM

Changshui Zhang, Xiaoqiang Zhu, Zeng-Shun Zhao, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Kernel Trick Embedded Gaussian Mixture Model

Changshui Zhang, Jingdong Wang, Jianguo Lee, 2003, ALT.

Simultaneous Heterogeneous Data Clustering Based on Higher Order Relationships

Fei Wang, Changshui Zhang, Shouchun Chen, 2007, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007).

Regularized clustering for documents

Fei Wang, Changshui Zhang, Tao Li, 2007, SIGIR.

Compressed Spectral Clustering

Bin Zhao, Changshui Zhang, 2009, 2009 IEEE International Conference on Data Mining Workshops.

Label Propagation through Linear Neighborhoods

Fei Wang, Changshui Zhang, Fei Wang, 2006, IEEE Transactions on Knowledge and Data Engineering.

Connectionist Temporal Classification with Maximum Entropy Regularization

Changshui Zhang, Hu Liu, Sheng Jin, 2018, NeurIPS.

Label Propagation through Linear Neighborhoods

Fei Wang, Changshui Zhang, 2008, IEEE Trans. Knowl. Data Eng..

Semi-supervised ranking aggregation

Fei Wang, Changshui Zhang, Yangqiu Song, 2011, Inf. Process. Manag..

Exploiting the Limits of Structure Learning via Inherent Symmetry

Changshui Zhang, Peng He, 2014, AISTATS.

A Real-Time Hand Pose Estimation System with Retrieval

Changshui Zhang, Runpeng Cui, Guangdong Hou, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

Collaborative Filtering Using Orthogonal Nonnegative Matrix Tri-factorization

Changshui Zhang, Gang Chen, Fei Wang, 2007, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007).

Semi-supervised sub-manifold discriminant analysis

Feiping Nie, Changshui Zhang, Yangqiu Song, 2008, Pattern Recognit. Lett..

Image classification via SVM using in-between universum samples

Changshui Zhang, Shuo Chen, 2009, ICIP 2009.

Distortion-Free Nonlinear Dimensionality Reduction

Changshui Zhang, Zheng Wang, Yangqing Jia, 2008, ECML/PKDD.

Methods for Photomosaic Generation Based on Different Image Similarity and Division Strategies

Changshui Zhang, Shifeng Weng, Daqing Chang, 2013, IScIDE.

Network Game and Boosting

Changshui Zhang, Shijun Wang, 2005, ECML.

Automatic Peak Number Detection in Image Symmetry Analysis

Jingrui He, Hanghang Tong, Mingjing Li, 2004, PCM.

Generalized Additive Bayesian Network Classifiers

Tao Wang, Changshui Zhang, Jianguo Li, 2007, IJCAI.

Learning and innovation expand cooperative network topologies

Changshui Zhang, Shijun Wang, Mate S. Szalay, 2007 .

Visual Tracking via Part-Based Model with Auxiliary Objects

Changshui Zhang, Runpeng Cui, Guangdong Hou, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

Graph-based semi-supervised learning

Fei Wang, Changshui Zhang, Fei Wang, 2009, Artificial Life and Robotics.

Graph Based Multi-class Semi-supervised Learning Using Gaussian Process

Changshui Zhang, Yangqiu Song, Jianguo Lee, 2006, SSPR/SPR.

An Analytical Mapping for LLE and Its Application in Multi-Pose Face Synthesis

Jun Wang, Changshui Zhang, Zhongbao Kou, 2003, BMVC.

On Discriminative Semi-Supervised Classification

Fei Wang, Changshui Zhang, 2008, AAAI.

Learning the Supervised NLDR Mapping for Classification

Changshui Zhang, Shifeng Weng, Naijiang Lu, 2004, ISNN.

Semi-supervised dimensionality reduction for image retrieval

Bin Zhang, Changshui Zhang, Yangqiu Song, 2008, Electronic Imaging.

Reconstruction and analysis of multi-pose face images based on nonlinear dimensionality reduction

Jun Wang, David Zhang, Changshui Zhang, 2004, Pattern Recognit..

Color Image Segmentation: Kernel Do the Feature Space

Changshui Zhang, Jingdong Wang, Jianguo Lee, 2003, ECML.

Maximum Margin Embedding

Fei Wang, Bin Zhao, Changshui Zhang, 2008, 2008 Eighth IEEE International Conference on Data Mining.

Sparse Norm-Regularized Reconstructive Coefficients Learning

Bin Liu, Changshui Zhang, Shuo Chen, 2009, 2009 Ninth IEEE International Conference on Data Mining.

Learning a subspace for clustering via pattern shrinking

Feiping Nie, Yi Wu, Chenping Hou, 2013, Inf. Process. Manag..

Distance metric learning by knowledge embedding

David Zhang, Changshui Zhang, Yungang Zhang, 2004, Pattern Recognit..

Predicting Seizures from Electroencephalography Recordings: A Knowledge Transfer Strategy

Fei Wang, Changshui Zhang, Jian Liang, 2016, 2016 IEEE International Conference on Healthcare Informatics (ICHI).

Content-Based Information Fusion for Semi-Supervised Music Genre Classification

Changshui Zhang, Yangqiu Song, Yangqiu Song, 2008, IEEE Transactions on Multimedia.

Deep Generative Adversarial Networks for the Sparse Signal Denoising

Changshui Zhang, Kailun Wu, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

A Theory of High-dimensional Sparse Estimation via Non-Convex Regularized Regression pdf

Changshui Zhang, Zheng Pan, Changshui Zhang, 2013, ArXiv.

Regression Reformulations of LLE and LTSA With Locally Linear Transformation

Feiping Nie, Shiming Xiang, Chunhong Pan, 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Classifier combination based on active learning

Changshui Zhang, Xing Yi, Zhongbao Kou, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Knowledge Transfer on Hybrid Graph

Changshui Zhang, Zheng Wang, Yangqiu Song, 2009, IJCAI.

Aligning where to see and what to tell: image caption with region-based attention and scene factorization pdf

Changshui Zhang, Kun Fu, Junqi Jin, 2015, ArXiv.

A Deep Neural Framework for Continuous Sign Language Recognition by Iterative Training

Changshui Zhang, Hu Liu, Runpeng Cui, 2019, IEEE Transactions on Multimedia.

Relevant linear feature extraction using side-information and unlabeled data

Changshui Zhang, Fei Wu, Yonglei Zhou, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Orthogonal vs. uncorrelated least squares discriminant analysis for feature extraction

Feiping Nie, Chenping Hou, Shiming Xiang, 2012, Pattern Recognit. Lett..

Fast Branch Convolutional Neural Network for Traffic Sign Recognition

Changshui Zhang, Jianke Li, Qing Zhuo, 2017, IEEE Intelligent Transportation Systems Magazine.

The Selective Random Subspace Predictor for Traffic Flow Forecasting

Shiliang Sun, Changshui Zhang, Changshui Zhang, 2007, IEEE Transactions on Intelligent Transportation Systems.

A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems

Jieping Ye, Changshui Zhang, Jianhua Huang, 2013, ICML.

Blind Source Extraction Using Generalized Autocorrelations

Changshui Zhang, Zhenwei Shi, 2007, IEEE Transactions on Neural Networks.

Combining stroke-based and selection-based relevance feedback for content-based image retrieval

Changshui Zhang, Jingyu Cui, Jingyu Cui, 2007, ACM Multimedia.

Image deblurring with matrix regression and gradient evolution

Gaofeng Meng, Ying Wang, Shiming Xiang, 2012, Pattern Recognit..

Semi-supervised Classification Using Local and Global Regularization

Gang Wang, Fei Wang, Changshui Zhang, 2008, AAAI.

Non-Asymptotic Analysis of Relational Learning with One Network

Changshui Zhang, Peng He, 2014, AISTATS.

Single image dehazing in inhomogeneous atmosphere

Wei Tang, Changshui Zhang, Jiao Long, 2014 .

Blur detection for digital images using wavelet transform

Hanghang Tong, Mingjing Li, Changshui Zhang, 2004, 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763).

An optimal kernel feature extractor and its application to EEG signal classification

Shiliang Sun, Changshui Zhang, Changshui Zhang, 2006, Neurocomputing.

Evolutionary mechanisms in self-organizing map

Changshui Zhang, Fai Wong, Shifeng Weng, 2003, Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693).

Unsupervised Single-Channel Music Source Separation by Average Harmonic Structure Modeling

Changshui Zhang, Yungang Zhang, Zhenwei Shi, 2008, IEEE Transactions on Audio, Speech, and Language Processing.

Texture Image Segmentation: An Interactive Framework Based on Adaptive Features and Transductive Learning

Feiping Nie, Shiming Xiang, Changshui Zhang, 2006, ACCV.

Weakly- and Semi-Supervised Object Detection with Expectation-Maximization Algorithm pdf

Changshui Zhang, Jian Liang, Jin Li, 2017, ArXiv.

Efficient Active Learning with Boosting

Changshui Zhang, Zheng Wang, Yangqiu Song, 2009, SDM.

Collaborative learning by boosting in distributed environments

Changshui Zhang, Shijun Wang, 2008, ICPR.

Training Deep Belief Network with Sparse Hidden Units

Changshui Zhang, Zhen Hu, Wenzheng Hu, 2014, CCPR.

Semi-Supervised Classification Using Linear Neighborhood Propagation

Helen C. Shen, Fei Wang, Changshui Zhang, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Localized content based image retrieval by multiple instance active learning

Fei Wang, Dan Zhang, Changshui Zhang, 2008, 2008 15th IEEE International Conference on Image Processing.

Embedding New Data Points for Manifold Learning Via Coordinate Propagation

Feiping Nie, Shiming Xiang, Chunxia Zhang, 2007, PAKDD.

Incremental multiple instance outlier detection

Changshui Zhang, Zhigang Wang, Zeng-Shun Zhao, 2014, Neural Computing and Applications.

Classifier combination based on active learning

Changshui Zhang, Xing Yi, Zhingbao Kou, 2004, ICPR 2004.

Directional symmetry transform for human face location

Changshui Zhang, Jie Zhou, Yan-Da Li, 1999 .

Beyond Banditron: A Conservative and Efficient Reduction for Online Multiclass Prediction with Bandit Setting Model

Gang Chen, Jianwen Zhang, Changshui Zhang, 2009, 2009 Ninth IEEE International Conference on Data Mining.

Boosting Few-Shot Image Recognition Via Domain Alignment Prototypical Networks

Changshui Zhang, Zhong Cao, Gang Zhang, 2018, 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI).

Automated cartridge identification for firearm authentication

David Zhang, Changshui Zhang, Jie Zhou, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

Session Identification Based on Time Interval in Web Log Mining

Changshui Zhang, Like Zhuang, Zhongbao Kou, 2004, Intelligent Information Processing.

Automatic Methods for Screening and Assessing Scoliosis by 2-D Digital Images

Changshui Zhang, Weishen Pan, Guangdong Hou, 2015, IScIDE.

Network boosting on different networks

Changshui Zhang, Shijun Wang, Zhong-bao Kou, 2006 .

Interactive localized content based image retrieval with multiple-instance active learning

Fei Wang, Dan Zhang, Changshui Zhang, 2010, Pattern Recognit..

Knowledge Distillation from Few Samples pdf

Changshui Zhang, Jianguo Li, Tianhong Li, 2018, ArXiv.

End-to-end Chinese text recognition

Changshui Zhang, Jie Hu, Tszhang Guo, 2017, 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Tunable Nearest Neighbor Classifier

Changshui Zhang, Jingchun Wang, Yonglei Zhou, 2004, DAGM-Symposium.

Unsupervised Maximum Margin Feature Selection with manifold regularization

Fei Wang, Bin Zhao, Changshui Zhang, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

MACBSE: Extracting signals with linear autocorrelations

Dan Zhang, Changshui Zhang, Zhenwei Shi, 2008, Neurocomputing.

Boosting GMM and Its Two Applications

Fei Wang, Changshui Zhang, Naijiang Lu, 2005, Multiple Classifier Systems.

On the On-line Learning Algorithms for EEG Signal Classification in Brain Computer Interfaces

Shiliang Sun, Changshui Zhang, Naijiang Lu, 2005, FSKD.

A two-step approach to hallucinating faces: global parametric model and local nonparametric model

Harry Shum, Changshui Zhang, Ce Liu, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

Multitask Bregman clustering

Jianwen Zhang, Changshui Zhang, Changshui Zhang, 2010, Neurocomputing.

Learning distance metric for semi-supervised image segmentation

Changshui Zhang, Yangqing Jia, Yangqing Jia, 2008, 2008 15th IEEE International Conference on Image Processing.

Extracting the optimal dimensionality for local tensor discriminant analysis

Feiping Nie, Shiming Xiang, Changshui Zhang, 2009, Pattern Recognit..

Semi-definite Manifold Alignment

Fei Wang, Changshui Zhang, Liang Xiong, 2007, ECML.

Solving Job-Shop Scheduling Problem with Amv Using Neural Network

Changshui Zhang, Tong Chang, Pingfan Yan, 1992, Singapore International Conference on Intelligent Control and Instrumentation [Proceedings 1992].

Automatic Elements Extraction of Chinese Web News Using Prior Information of Content and Structure

Changshui Zhang, Shifeng Weng, Chengru Song, 2013, 2013 2nd IAPR Asian Conference on Pattern Recognition.

Efficient multiclass maximum margin clustering

Fei Wang, Bin Zhao, Changshui Zhang, 2008, ICML '08.

A faster cutting plane algorithm with accelerated line search for linear SVM

Changshui Zhang, Qing Tao, Dejun Chu, 2017, Pattern Recognit..

A new approach to discover interlacing data structures in high-dimensional space

Shigeo Abe, Changshui Zhang, Tao Ban, 2009, Journal of Intelligent Information Systems.

Neighborhood MinMax Projections

Feiping Nie, Shiming Xiang, Changshui Zhang, 2007, IJCAI.

Boosting Web image search by co-ranking

Jingrui He, Hanghang Tong, Changshui Zhang, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Pattern Recognition

Cheng-Lin Liu, Simone Diniz Junqueira Barbosa, Changshui Zhang, 2012, Communications in Computer and Information Science.

Efficient Euclidean projections via Piecewise Root Finding and its application in gradient projection

Changshui Zhang, Kun Gai, Pinghua Gong, 2011, Neurocomputing.

Few Sample Knowledge Distillation for Efficient Network Compression

Changshui Zhang, Jianguo Li, Zhuang Liu, 2018, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Discriminant Additive Tangent Spaces for Object Recognition

Changshui Zhang, Liang Xiong, Jianguo Li, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Hand segmentation with metric learning superpixels

Changshui Zhang, Daqing Chang, Guangdong Hou, 2014, 2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP).

Spectral Clustering for Time Series

Fei Wang, Changshui Zhang, 2005, ICAPR.

An experimental evaluation of ensemble methods for EEG signal classification

Shiliang Sun, Dan Zhang, Changshui Zhang, 2007, Pattern Recognit. Lett..

Optimal Dimensionality Discriminant Analysis and Its Application to Image Recognition

Feiping Nie, Shiming Xiang, Changshui Zhang, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Extended Nearest Feature Line Classifier

Changshui Zhang, Jingchun Wang, Yonglei Zhou, 2004, PRICAI.

Finite Mixture Models with Negative Components

Changshui Zhang, Baibo Zhang, Changshui Zhang, 2005, MLDM.

Gabor face recognition by multi-channel classifier fusion of supervised kernel manifold learning

Meng Zhao, Li Zhang, Changshui Zhang, 2012, Neurocomputing.

Damping proximal coordinate descent algorithm for non-convex regularization

Changshui Zhang, Ming Lin, Zheng Pan, 2015, Neurocomputing.

Clustering with Local and Global Regularization

Fei Wang, Changshui Zhang, Tao Li, 2007, IEEE Transactions on Knowledge and Data Engineering.

Stable local dimensionality reduction approaches

Yi Wu, Chenping Hou, Yuanyuan Jiao, 2009, Pattern Recognit..

Spectral Embedded Clustering: A Framework for In-Sample and Out-of-Sample Spectral Clustering

Ivor W. Tsang, Dong Xu, Feiping Nie, 2011, IEEE Transactions on Neural Networks.

Multiple view semi-supervised dimensionality reduction

Feiping Nie, Yi Wu, Chenping Hou, 2010, Pattern Recognit..

Classification of gene-expression data: The manifold-based metric learning way

Changshui Zhang, Jianguo Lee, Changshui Zhang, 2006, Pattern Recognit..

Deep ranking: Triplet MatchNet for music metric learning

Changshui Zhang, Zhiyao Duan, Rui Lu, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Special Article Series on Signal Processing Education via Hands-On and Design Projects [From the Guest Editors]

Changshui Zhang, Arye Nehorai, Ali Tajer, 2017, IEEE Signal Process. Mag..

Solving one-class problem with outlier examples by SVM

Changshui Zhang, Zhigang Wang, Zeng-Shun Zhao, 2015, Neurocomputing.

A unified framework for semi-supervised dimensionality reduction

Feiping Nie, Shiming Xiang, Changshui Zhang, 2008, Pattern Recognit..

Deep Likelihood Network for Image Restoration with Multiple Degradations pdf

Changshui Zhang, Wangmeng Zuo, Yurong Chen, 2019, ArXiv.

Finding image exemplars using fast sparse affinity propagation

Xian-Sheng Hua, Changshui Zhang, Jingdong Wang, 2008, ACM Multimedia.

Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction

Ivor W. Tsang, Dong Xu, Feiping Nie, 2010, IEEE Transactions on Image Processing.

Assessing features for electroencephalographic signal categorization

Shiliang Sun, Changshui Zhang, Changshui Zhang, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Short-Term Traffic Flow Forecasting Using Expanded Bayesian Network for Incomplete Data

Shiliang Sun, Changshui Zhang, Guoqiang Yu, 2004, ISNN.

Music playlist prediction via detecting song moods

Changshui Zhang, Zhiqiang Zhang, Shifeng Weng, 2013, 2013 IEEE China Summit and International Conference on Signal and Information Processing.

Fast nonlinear autocorrelation algorithm for source separation

Changshui Zhang, Zhenwei Shi, Changshui Zhang, 2009, Pattern Recognit..

Transductive object cutout

Luc Van Gool, Changshui Zhang, Xiaoou Tang, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

A New Anchor-Labeling Method For Oriented Text Detection Using Dense Detection Framework

Changshui Zhang, Chengzhe Yan, Kailun Wu, 2018, IEEE Signal Processing Letters.

Metric learning based data augmentation for environmental sound classification

Changshui Zhang, Zhiyao Duan, Rui Lu, 2017, 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

On the Conditions of Sparse Parameter Estimation via Log-Sum Penalty Regularization pdf

Changshui Zhang, Zheng Pan, Guangdong Hou, 2013, ArXiv.

Audio tonality mode classification without tonic annotations

Lie Lu, Changshui Zhang, Zhiyao Duan, 2008, 2008 IEEE International Conference on Multimedia and Expo.

Signature data generation method

Changshui Zhang, Tianshi Jiao, 2001, International Symposium on Multispectral Image Processing and Pattern Recognition.

A novel algorithm for rotated human face detection

Changshui Zhang, Jie Zhou, Xiao-guang Lv, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

Relaxed sparse eigenvalue conditions for sparse estimation via non-convex regularized regression

Changshui Zhang, Zheng Pan, Changshui Zhang, 2013, Pattern Recognit..

Multi-Scale Recurrent Neural Network for Sound Event Detection

Changshui Zhang, Zhiyao Duan, Rui Lu, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Face recognition using spectral features

Fei Wang, Changshui Zhang, James T. Kwok, 2007, Pattern Recognit..

Equivalence Knowledge Mass and Approximate Reasoning in -Logic (I)

Changshui Zhang, Yalin Zheng, Jing Zheng, 2008, ICIC.

Semisupervised Learning Using Negative Labels

Fei Wang, Feiping Nie, Yi Wu, 2011, IEEE Transactions on Neural Networks.

Boosting with pairwise constraints

Changshui Zhang, Yangqiu Song, Qutang Cai, 2010, Neurocomputing.

Multiple Kernel Clustering

Bin Zhao, Changshui Zhang, James T. Kwok, 2009, SDM.

W-Boost and its application to Web image classification

Jingrui He, Mingjing Li, Changshui Zhang, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Fast Multilevel Transduction on Graphs

Fei Wang, Changshui Zhang, 2007, SDM.

Multi-stage multi-task feature learning

Jieping Ye, Changshui Zhang, Pinghua Gong, 2012, J. Mach. Learn. Res..

A Flexible and Effective Linearization Method for Subspace Learning

Ivor W. Tsang, Feiping Nie, Changshui Zhang, 2013 .

Importance Feature Sampling in Random Subspace

Changshui Zhang, Yinglong Xia, Rongbin Liu, 2005, VISION.

Compressed Learning with Regular Concept

Fei Wang, Jianwen Zhang, Changshui Zhang, 2010, ALT.

Recurrent Convolutional Neural Networks for Continuous Sign Language Recognition by Staged Optimization

Changshui Zhang, Hu Liu, Runpeng Cui, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Instance-level Semisupervised Multiple Instance Learning

Changshui Zhang, Yangqing Jia, Yangqing Jia, 2008, AAAI.

Multiple Fundamental Frequency Estimation by Modeling Spectral Peaks and Non-Peak Regions

Changshui Zhang, Bryan Pardo, Zhiyao Duan, 2010, IEEE Transactions on Audio, Speech, and Language Processing.

Normalized tree partitioning for image segmentation

Long Quan, Xian-Sheng Hua, Changshui Zhang, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Special issue on the Sino-foreign-interchange workshop on intelligence science and intelligent data engineering

Zhi-Hua Zhou, Changshui Zhang, Yanning Zhang, 2014, Neurocomputing.

Weighted competition scale-free network.

Changshui Zhang, Shijun Wang, Changshui Zhang, 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

Discovery of Relationships between Interests from Bulletin Board System by Dissimilarity Reconstruction

Changshui Zhang, Ban Tao, Zhongbao Kou, 2003, Discovery Science.

Online kernel learning with nearly constant support vectors

Rong Jin, Changshui Zhang, Ming Lin, 2016, Neurocomputing.

Semi-supervised ranking aggregation

Fei Wang, Changshui Zhang, Yangqiu Song, 2008, CIKM '08.

Learning Efficient Convolutional Networks through Network Slimming

Zhiqiang Shen, Changshui Zhang, Shoumeng Yan, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Efficient multi-class unlabeled constrained semi-supervised SVM

Feiping Nie, Changshui Zhang, Mingjie Qian, 2009, CIKM.

Semi-supervised orthogonal discriminant analysis via label propagation

Feiping Nie, Shiming Xiang, Changshui Zhang, 2009, Pattern Recognit..

Augmented tree partitioning for interactive image segmentation

Xian-Sheng Hua, Changshui Zhang, Jingdong Wang, 2008, 2008 15th IEEE International Conference on Image Processing.

Semi-Supervised Music Genre Classification

Shiming Xiang, Changshui Zhang, Yangqiu Song, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Top Downloads in IEEE Xplore [Reader's Choice]

Changshui Zhang, 2017, IEEE Signal Processing Magazine.

Competitive EM algorithm for finite mixture models

Changshui Zhang, Xing Yi, Baibo Zhang, 2004, Pattern Recognit..

Dynamic vehicle routing with stochastic requests

Ivor W. Tsang, Dong Xu, Feiping Nie, 2003, IJCAI 2003.

Blindly separating mixtures of multiple layers with spatial shifts

Changshui Zhang, Zhenwei Shi, Kun Gai, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Type-I Topological Logic C1I and Approximate Reasoning

Changshui Zhang, Yalin Zheng, Xin Yao, 2005, FSKD.

Frequency Recognition Based on Canonical Correlation Analysis for SSVEP-Based BCIs

Wei Wu, Xiaorong Gao, Changshui Zhang, 2006, IEEE Transactions on Biomedical Engineering.

Learning with only multiple instance positive bags

Changshui Zhang, Zhigang Wang, Zeng-Shun Zhao, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora

Jianwen Zhang, Changshui Zhang, Yangqiu Song, 2010, KDD.

DeepFish: Accurate underwater live fish recognition with a deep architecture

Changshui Zhang, Jian Liang, Xiu Li, 2016, Neurocomputing.

Robust multi-task feature learning

Jieping Ye, Changshui Zhang, Pinghua Gong, 2012, KDD.

Linear Time Maximum Margin Clustering

Fei Wang, Bin Zhao, Changshui Zhang, 2010, IEEE Transactions on Neural Networks.

Collaborative Filtering Using Orthogonal Nonnegative Matrix Tri-factorization

Gang Chen, Fei Wang, Changshui Zhang, 2007, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007).

Multiple rank multi-linear SVM for matrix data classification

Feiping Nie, Yi Wu, Chenping Hou, 2014, Pattern Recognit..

Hierarchical Interactions Model for Predicting Mild Cognitive Impairment (MCI) to Alzheimer's Disease (AD) Conversion

Jieping Ye, Changshui Zhang, Pinghua Gong, 2014, PloS one.

Optimizing Top- $k$ Multiclass SVM via Semismooth Newton Algorithm

Changshui Zhang, Qing Tao, Rui Lu, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Tree-based compact hashing for approximate nearest neighbor search

Changshui Zhang, Zheng Pan, Runpeng Cui, 2015, Neurocomputing.

Relevant linear feature extraction using side-information and unlabeled data

Changshui Zhang, Fei Wu, Yonglei Zhou, 2004, ICPR 2004.

Manifold-Ranking-Based Keyword Propagation for Image Retrieval

Wei-Ying Ma, Jingrui He, Hanghang Tong, 2006, EURASIP J. Adv. Signal Process..

Probabilistic Labeled Semi-supervised SVM

Feiping Nie, Changshui Zhang, Mingjie Qian, 2009, 2009 IEEE International Conference on Data Mining Workshops.

Orthogonal locality minimizing globality maximizing projections for feature extraction

Feiping Nie, Shiming Xiang, Changshui Zhang, 2009 .

A fast mean-field method for large-scale high-dimensional data and its application in colonic polyp detection at CT colonography

Ronald M. Summers, Changshui Zhang, Shijun Wang, 2009, 2009 International Joint Conference on Neural Networks.

Exploring the structure of supervised data by Discriminant Isometric Mapping

Changshui Zhang, Shifeng Weng, Zhonglin Lin, 2005, Pattern Recognit..

Crease's discriminating power in palmprint recognition

Gang Rong, Changshui Zhang, Junbo Chen, 2001, International Symposium on Multispectral Image Processing and Pattern Recognition.

Extracting the Optimal Dimensionality for Discriminant Analysis

Feiping Nie, Shiming Xiang, Changshui Zhang, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Learning On-Line Classification via Decorrelated LMS Algorithm: Application to Brain-Computer Interfaces

Shiliang Sun, Changshui Zhang, Changshui Zhang, 2005, Discovery Science.

Rare Chinese character recognition by Radical Extraction Network

Changshui Zhang, Ziang Yan, Chengzhe Yan, 2017, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Unsupervised Maximum Margin Feature Selection with manifold regularization

Fei Wang, Changshui Zhang, Bin Zhao, 2009, CVPR.

A Bayesian Method for High-Frequency Restoration of Low Sample-Rate Speech

Changshui Zhang, Naijiang Lu, Yunpeng Xu, 2005, ICAPR.

Feature Extraction by Maximizing the Average Neighborhood Margin

Fei Wang, Changshui Zhang, Fei Wang, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Single Remote Sensing Image Dehazing

Wei Tang, Changshui Zhang, Zhenwei Shi, 2014, IEEE Geoscience and Remote Sensing Letters.

Gaussian moments for noisy complexity pursuit

Changshui Zhang, Zhenwei Shi, Changshui Zhang, 2006, Neurocomputing.

Collective Annotation of Music from Multiple Semantic Categories

Lie Lu, Changshui Zhang, Zhiyao Duan, 2008, ISMIR.

Audio Classical Composer Identification by Deep Neural Network

Changshui Zhang, Zhen Hu, Kun Fu, 2013 .

Learning an Orthogonal and Smooth Subspace for Image Classification

Feiping Nie, Yi Wu, Chenping Hou, 2009, IEEE Signal Processing Letters.

Multiple face location using motion information

Chao Yuan, Changshui Zhang, 2000 .

Mamdanian logic

Changshui Zhang, Yalin Zheng, Xing Yi, 2004, 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542).

Attribute-Based Synthetic Network (ABS-Net): Learning more from pseudo feature representations

Changshui Zhang, Jin Li, Jiang Lu, 2018, Pattern Recognit..

Pseudo Relevance Feedback Based on Iterative Probabilistic One-Class SVMs in Web Image Retrieval

Jingrui He, Hanghang Tong, Mingjing Li, 2004, PCM.

What if the Irresponsible Teachers Are Dominating?

Jianwen Zhang, Changshui Zhang, Shuo Chen, 2010, AAAI.

Learning Kernels with Radiuses of Minimum Enclosing Balls

Changshui Zhang, Kun Gai, Guangyun Chen, 2010, NIPS.

Contour graph based human tracking and action sequence recognition

Feiping Nie, Shiming Xiang, Changshui Zhang, 2008, Pattern Recognit..

Separation of Music Signals by Harmonic Structure Modeling

Changshui Zhang, Yungang Zhang, Changshui Zhang, 2005, NIPS.

A general graph-based semi-supervised learning with novel class discovery

Feiping Nie, Shiming Xiang, Changshui Zhang, 2010, Neural Computing and Applications.

Maximum Margin Clustering with Multivariate Loss Function

Bin Zhao, Changshui Zhang, James T. Kwok, 2009, 2009 Ninth IEEE International Conference on Data Mining.

The random electrode selection ensemble for EEG signal classification

Shiliang Sun, Yue Lu, Changshui Zhang, 2008, Pattern Recognit..

Separation of Voice and Music by Harmonic Structure Stability Analysis

Changshui Zhang, Yungang Zhang, Changshui Zhang, 2005, 2005 IEEE International Conference on Multimedia and Expo.

Nonlinear innovation to blind source separation

Changshui Zhang, Zhenwei Shi, Changshui Zhang, 2007, Neurocomputing.

Interactive Visual Object Extraction Based on Belief Propagation

Feiping Nie, Shiming Xiang, Chunxia Zhang, 2007, MMM.

Learning a Mahalanobis distance metric for data clustering and classification

Feiping Nie, Shiming Xiang, Changshui Zhang, 2008, Pattern Recognit..

A DNN Framework For Text Image Rectification From Planar Transformations pdf

Changshui Zhang, Jie Hu, Chengzhe Yan, 2016, ArXiv.

Optimizing Recurrent Neural Networks Architectures under Time Constraints pdf

Changshui Zhang, Nan Jiang, Junqi Jin, 2016, ArXiv.

Soft Constraint Harmonic Energy Minimization for Transductive Learning and its Two Interpretations

Feiping Nie, Chenping Hou, Shiming Xiang, 2009, Neural Processing Letters.

Multi-view EM algorithm and its application to color image segmentation

Changshui Zhang, Jingdong Wang, Xing Yi, 2004, 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763).

Seeing the Arrow of Time

Bernhard Schölkopf, Changshui Zhang, Andrew Zisserman, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Blind separation of superimposed images with unknown motions

Changshui Zhang, Zhenwei Shi, Kun Gai, 2009, CVPR.

Hands-On Learning Through Racing: Signal processing and engineering education through the China National Collegiate Intelligent Model Car Competition

Yongheng Jiang, Changshui Zhang, Qing Zhuo, 2017, IEEE Signal Processing Magazine.

Multi-Pitch Estimation Based on Partial Event and Support Transfer

Dan Zhang, Changshui Zhang, Zhenwei Shi, 2007, 2007 IEEE International Conference on Multimedia and Expo.

On the Generalization Ability of Online Gradient Descent Algorithm Under the Quadratic Growth Condition

Changshui Zhang, Ming Lin, Daqing Chang, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Cyborg Intelligence: Recent Progress and Future Directions

Zhaohui Wu, Guanglin Li, Gang Pan, 2016, IEEE Intelligent Systems.

Block-Quantized Support Vector Ordinal Regression

Fei Wang, Bin Zhao, Changshui Zhang, 2009, IEEE Transactions on Neural Networks.

Exemplar-Based Human Contour Tracking

Feiping Nie, Shiming Xiang, Changshui Zhang, 2006, ACCV.

Local Regularized Least-Square Dimensionality Reduction

Changshui Zhang, Yangqing Jia, Yangqing Jia, 2008, 2008 19th International Conference on Pattern Recognition.

A New Adaptive Self-Organizing Map

Changshui Zhang, Shifeng Weng, Fai Wong, 2004, ISNN.

Leveraging mixed and incomplete outcomes via reduced-rank modeling

Fei Wang, Changshui Zhang, Dipak K. Dey, 2018, J. Multivar. Anal..

A novel approach in off-line handwritten Chinese character stroke segmentation

Changshui Zhang, Tao Ban, Wei Shu, 2003, Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003.

What if the irresponsible teachers are dominating? a method of training on samples and clustering on teachers

Changshui Zhang, Shuo Chen, Jianwen Zhang, 2010, AAAI 2010.

Localized Content-Based Image Retrieval Using Semi-Supervised Multiple Instance Learning

Dan Zhang, Changshui Zhang, Zhenwei Shi, 2007, ACCV.

Efficient Maximum Margin Clustering via Cutting Plane Algorithm

Fei Wang, Bin Zhao, Changshui Zhang, 2008, SDM.

Visual object recognition using probabilistic kernel subspace similarity

Changshui Zhang, Jingdong Wang, Jianguo Lee, 2005, Pattern Recognit..

Interactive Image Segmentation With Multiple Linear Reconstructions in Windows

Feiping Nie, Shiming Xiang, Chunhong Pan, 2011, IEEE Transactions on Multimedia.

Efficient Multi-Stage Conjugate Gradient for Trust Region Step

Changshui Zhang, Pinghua Gong, Pinghua Gong, 2012, AAAI.

Efficient multi-label classification with hypergraph regularization

Gang Chen, Fei Wang, Jianwen Zhang, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

A fully automated face recognition system under different conditions

Changshui Zhang, Hui Peng, Zhaoqi Bian, 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

Learning No-Reference Quality Metric by Examples

Wei-Ying Ma, Jingrui He, Hanghang Tong, 2005, 11th International Multimedia Modelling Conference.

Learning Discriminative Piecewise Linear Models with Boundary Points

Changshui Zhang, Kun Gai, 2010, AAAI.

Image Deblurring with Coupled Dictionary Learning

Gaofeng Meng, Ying Wang, Shiming Xiang, 2015, International Journal of Computer Vision.

Model-Protected Multi-Task Learning

Fei Wang, Jiayu Zhou, Xiaoqian Jiang, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Audio Artist Identification by Deep Neural Network pdf

Changshui Zhang, Kun Fu, 胡振, 2013, arXiv.org.

Multiple random walk and its application in content-based image retrieval

Wei-Ying Ma, Jingrui He, Hanghang Tong, 2005, MIR '05.

Dependent Online Kernel Learning With Constant Number of Random Fourier Features

Changshui Zhang, Zhen Hu, Ming Lin, 2015, IEEE Transactions on Neural Networks and Learning Systems.

An evolutionary system for near-regular texture synthesis

Jingrui He, Changshui Zhang, Fei Wu, 2007, Pattern Recognit..

Generalized Manifold-Ranking-Based Image Retrieval

Jingrui He, Hanghang Tong, Mingjing Li, 2006, IEEE Transactions on Image Processing.

Homotopy Regularization for Boosting

Changshui Zhang, Zheng Wang, Yangqiu Song, 2010, 2010 IEEE International Conference on Data Mining.

Topic model with constrainted word burstiness intensities

Jianwen Zhang, Changshui Zhang, Shifeng Weng, 2011, The 2011 International Joint Conference on Neural Networks.

Listen and Look: Audio–Visual Matching Assisted Speech Source Separation

Changshui Zhang, Zhiyao Duan, Rui Lu, 2018, IEEE Signal Processing Letters.

Analysis of classification margin for classification accuracy with applications

Changshui Zhang, Chunyi Peng, Qutang Cai, 2009, Neurocomputing.

Robust non-negative matrix factorization via joint sparse and graph regularization

Yi Wu, Chenping Hou, Changshui Zhang, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Robust non-negative matrix factorization via joint sparse and graph regularization for transfer learning

Yi Wu, Chenping Hou, Changshui Zhang, 2013, Neural Computing and Applications.

Bayesian Network Methods for Traffic Flow Forecasting with Incomplete Data

Shiliang Sun, Changshui Zhang, Fei Xiao, 2004, ECML.

Graph based multi-modality learning

Wei-Ying Ma, Jingrui He, Hanghang Tong, 2005, ACM Multimedia.

A Discriminative Method For Semi-Automated Tumorous Tissues Segmentation of MR Brain Images

Fei Wang, Changshui Zhang, Yangqiu Song, 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

Top Downloads in IEEE Xplore [Reader's Choice]

Changshui Zhang, 2017, IEEE Signal Processing Magazine.

Traffic Flow Forecasting Using a Spatio-temporal Bayesian Network Predictor pdf

Shiliang Sun, Yi Zhang, Changshui Zhang, 2005, ICANN.

Learning and Innovative Elements of Strategy Adoption Rules Expand Cooperative Network Topologies

Changshui Zhang, Shijun Wang, Peter Csermely, 2007, PloS one.

Semisupervised Metric Learning by Maximizing Constraint Margin

Fei Wang, Changshui Zhang, Tao Li, 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Semi-Supervised Classification with Universum

Fei Wang, Dan Zhang, Changshui Zhang, 2008, SDM.

Classification of Digital Photos Taken by Photographers or Home Users

Jingrui He, Hanghang Tong, Mingjing Li, 2004, PCM.

Active Morphable Model: an efficient method for face analysis

Xun Xu, Changshui Zhang, Thomas S. Huang, 2004, Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings..

Traffic Sign Recognition With Hinge Loss Trained Convolutional Neural Networks

Changshui Zhang, Kun Fu, Junqi Jin, 2014, IEEE Transactions on Intelligent Transportation Systems.

Active learning with adaptive regularization

Shuicheng Yan, Changshui Zhang, Zheng Wang, 2011, Pattern Recognit..

Short-term traffic flow forecasting based on Markov chain model

Changshui Zhang, Jingyan Song, Jianming Hu, 2003, IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683).

A Fast Dual Projected Newton Method for l1-Regularized Least Squares

Changshui Zhang, Pinghua Gong, Pinghua Gong, 2011, IJCAI.

A multilevel approach for learning from labeled and unlabeled data on graphs

Fei Wang, Changshui Zhang, Fei Wang, 2010, Pattern Recognit..

Discriminative Least Squares Regression for Multiclass Classification and Feature Selection

Feiping Nie, Gaofeng Meng, Shiming Xiang, 2012, IEEE Transactions on Neural Networks and Learning Systems.

No-reference quality assessment for JPEG2000 compressed images

Hanghang Tong, Mingjing Li, Changshui Zhang, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

TurboPixel Segmentation Using Eigen-Images

Feiping Nie, Shiming Xiang, Chunhong Pan, 2010, IEEE Transactions on Image Processing.

Mining interlacing manifolds in high dimensional spaces

Shigeo Abe, Changshui Zhang, Youki Kadobayashi, 2011, SAC '11.

Symmetry feature in content-based image retrieval

Jingrui He, Mingjing Li, Changshui Zhang, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

Hierarchical Shape Modeling for Automatic Face Localization

Harry Shum, Changshui Zhang, Ce Liu, 2002, ECCV.

Collaborative learning by boosting in distributed environments

Changshui Zhang, Shijun Wang, Changshui Zhang, 2008, 2008 19th International Conference on Pattern Recognition.

Patterns classification of nonlinear multi-dimensional time series based on manifold learning

Jian Cheng, Changshui Zhang, Yi-Nan Guo, 2011, 2011 Seventh International Conference on Natural Computation.

Learning to rank tags

Shuicheng Yan, Changshui Zhang, Zheng Wang, 2010, CIVR '10.

Selecting Informative Universum Sample for Semi-Supervised Learning

Changshui Zhang, Shuo Chen, Changshui Zhang, 2009, IJCAI.

Multilevel Belief Propagation for Fast Inference on Markov Random Fields

Fei Wang, Changshui Zhang, Liang Xiong, 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).