Chang-shui Zhang

Chang-shui Zhang's AcademicInfluence.com Rankings

Chang-shui Zhang

Engineering

#3430

World Rank

#4508

Historical Rank

Electrical Engineering

#769

World Rank

#835

Historical Rank

engineering Degrees

Chang-shui Zhang

Computer Science

#4443

World Rank

#4682

Historical Rank

Algorithms

#143

World Rank

#145

Historical Rank

Machine Learning

#868

World Rank

#880

Historical Rank

Database

#1657

World Rank

#1737

Historical Rank

computer-science Degrees

Download Badge

Engineering
Computer Science

Chang-shui Zhang's Degrees

Bachelors Electrical Engineering Tsinghua University

Why Is Chang-shui Zhang Influential?

(Suggest an Edit or Addition)

(See a Problem?)

Chang-shui Zhang's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Learning Efficient Convolutional Networks through Network Slimming (2017) (1650)
Label Propagation through Linear Neighborhoods (2006) (833)
A bayesian network approach to traffic flow forecasting (2006) (598)
Learning a Mahalanobis distance metric for data clustering and classification (2008) (532)
Frequency Recognition Based on Canonical Correlation Analysis for SSVEP-Based BCIs (2006) (498)
Frequency recognition based on canonical correlation analysis for SSVEP-based BCIs (2007) (486)
Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction (2010) (448)
Manifold-ranking based image retrieval (2004) (374)
A two-step approach to hallucinating faces: global parametric model and local nonparametric model (2001) (373)
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems (2013) (352)
Trace Ratio Criterion for Feature Selection (2008) (344)
Discriminative Least Squares Regression for Multiclass Classification and Feature Selection (2012) (336)
Blur detection for digital images using wavelet transform (2004) (301)
Robust multi-task feature learning (2012) (278)
Traffic Sign Recognition With Hinge Loss Trained Convolutional Neural Networks (2014) (276)
Spectral Embedded Clustering: A Framework for In-Sample and Out-of-Sample Spectral Clustering (2011) (268)
Trace Ratio Problem Revisited (2009) (266)
An In-field Automatic Wheat Disease Diagnosis System (2017) (207)
Semi-supervised Multi-label Learning by Solving a Sylvester Equation (2008) (199)
Recurrent Convolutional Neural Networks for Continuous Sign Language Recognition by Staged Optimization (2017) (196)
Semi-Supervised Clustering via Matrix Factorization (2008) (188)
A Deep Neural Framework for Continuous Sign Language Recognition by Iterative Training (2019) (176)
DeepFish: Accurate underwater live fish recognition with a deep architecture (2016) (176)
A unified framework for semi-supervised dimensionality reduction (2008) (169)
Multiple Fundamental Frequency Estimation by Modeling Spectral Peaks and Non-Peak Regions (2010) (169)
Linear Neighborhood Propagation and Its Applications (2009) (162)
Collaborative Filtering Using Orthogonal Nonnegative Matrix Tri-factorization (2007) (154)
Multi-stage multi-task feature learning (2012) (150)
Semi-supervised orthogonal discriminant analysis via label propagation (2009) (139)
Aligning Where to See and What to Tell: Image Captioning with Region-Based Attention and Scene-Specific Contexts (2017) (136)
Classification of Digital Photos Taken by Photographers or Home Users (2004) (129)
An experimental evaluation of ensemble methods for EEG signal classification (2007) (126)
Multiple Kernel Clustering (2009) (121)
Generalized Manifold-Ranking-Based Image Retrieval (2006) (120)
Transferred Dimensionality Reduction (2008) (120)
Sparse DNNs with Improved Adversarial Robustness (2018) (119)
Semi-Supervised Classification via Local Spline Regression (2010) (118)
Single Remote Sensing Image Dehazing (2014) (116)
Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora (2010) (114)
A general graph-based semi-supervised learning with novel class discovery (2010) (114)
Adaptive feature extraction for EEG signal classification (2006) (113)
A new algorithm for character segmentation of license plate (2003) (113)
Nonlinear Dimensionality Reduction with Local Spline Embedding (2009) (111)
Learning and Innovative Elements of Strategy Adoption Rules Expand Cooperative Network Topologies (2007) (107)
Competitive EM algorithm for finite mixture models (2004) (106)
Short-term traffic flow forecasting based on Markov chain model (2003) (106)
Aligning where to see and what to tell: image caption with region-based attention and scene factorization (2015) (104)
Feature Extraction by Maximizing the Average Neighborhood Margin (2007) (104)
GreedyNAS: Towards Fast One-Shot NAS With Greedy Supernet (2020) (103)
Graph based multi-modality learning (2005) (102)
Multiple view semi-supervised dimensionality reduction (2010) (101)
Neighborhood MinMax Projections (2007) (100)
Sparse Unmixing of Hyperspectral Data Using Spectral A Priori Information (2015) (100)
Graph-based semi-supervised learning (2009) (99)
Unsupervised Single-Channel Music Source Separation by Average Harmonic Structure Modeling (2008) (96)
A general kernelization framework for learning algorithms based on kernel PCA (2010) (95)
Semi-Supervised Classification Using Linear Neighborhood Propagation (2006) (89)
Seeing the Arrow of Time (2014) (87)
Deep Defense: Training DNNs with Improved Adversarial Robustness (2018) (86)
Normalized tree partitioning for image segmentation (2008) (86)
Few Sample Knowledge Distillation for Efficient Network Compression (2018) (84)
Learning from Very Few Samples: A Survey (2020) (83)
Palmprint recognition using crease (2001) (82)
Finding image exemplars using fast sparse affinity propagation (2008) (81)
Blind Separation of Superimposed Moving Images Using Image Statistics (2012) (81)
Extracting the optimal dimensionality for local tensor discriminant analysis (2009) (78)
Multiple rank multi-linear SVM for matrix data classification (2014) (76)
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks (2019) (76)
Spectral Embedded Clustering (2009) (76)
Stable local dimensionality reduction approaches (2009) (75)
Efficient multiclass maximum margin clustering (2008) (75)
Traffic Flow Forecasting Using a Spatio-temporal Bayesian Network Predictor (2005) (73)
The Selective Random Subspace Predictor for Traffic Flow Forecasting (2007) (69)
Reconstruction and analysis of multi-pose face images based on nonlinear dimensionality reduction (2004) (69)
Linear Time Maximum Margin Clustering (2010) (65)
Computer Vision for Biomedical Image Applications, First International Workshop, CVBIA 2005, Beijing, China, October 21, 2005, Proceedings (2005) (62)
Efficient Maximum Margin Clustering via Cutting Plane Algorithm (2008) (60)
Learning a Proposal Classifier for Multiple Object Tracking (2021) (59)
Switching ARIMA model based forecasting for traffic flow (2004) (59)
Semi-Supervised Classification with Universum (2008) (58)
Clustering with Local and Global Regularization (2007) (58)
Interactive localized content based image retrieval with multiple-instance active learning (2010) (57)
Boosting Semantic Human Matting With Coarse Annotations (2020) (54)
Transductive object cutout (2008) (54)
marginFace: A novel face recognition method by average neighborhood margin maximization (2009) (54)
Learning No-Reference Quality Metric by Examples (2005) (54)
Semisupervised Metric Learning by Maximizing Constraint Margin (2008) (53)
No-reference quality assessment for JPEG2000 compressed images (2004) (52)
Hierarchical Shape Modeling for Automatic Face Localization (2002) (52)
Multitask Bregman clustering (2010) (51)
Orthogonal locality minimizing globality maximizing projections for feature extraction (2009) (50)
Embedding new data points for manifold learning via coordinate propagation (2007) (50)
Orthogonal vs. uncorrelated least squares discriminant analysis for feature extraction (2012) (50)
Regularized clustering for documents (2007) (49)
Interactive Natural Image Segmentation via Spline Regression (2009) (49)
Real-Time Traffic Light Detection With Adaptive Background Suppression Filter (2016) (48)
Selecting Informative Universum Sample for Semi-Supervised Learning (2009) (46)
Mean version space: a new active learning method for content-based image retrieval (2004) (46)
A Bayesian network approach to time series forecasting of short-term traffic flows (2004) (45)
Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space (2020) (44)
Learning Kernels with Radiuses of Minimum Enclosing Balls (2010) (44)
Weakly Supervised Contrastive Learning (2021) (44)
Regression Reformulations of LLE and LTSA With Locally Linear Transformation (2011) (44)
The random electrode selection ensemble for EEG signal classification (2008) (42)
Front-view vehicle detection by Markov chain Monte Carlo method (2009) (42)
Semi-blind source extraction for fetal electrocardiogram extraction by combining non-Gaussianity and time-correlation (2007) (42)
Hierarchical Interactions Model for Predicting Mild Cognitive Impairment (MCI) to Alzheimer's Disease (AD) Conversion (2014) (42)
Face recognition using spectral features (2007) (41)
Efficient multi-label classification with hypergraph regularization (2009) (41)
Content-Based Information Fusion for Semi-Supervised Music Genre Classification (2008) (40)
Weakly- and Semi-Supervised Object Detection with Expectation-Maximization Algorithm (2017) (39)
Efficient Nonnegative Matrix Factorization via projected Newton method (2012) (39)
Image Deblurring with Coupled Dictionary Learning (2015) (39)
ReSSL: Relational Self-Supervised Learning with Weak Augmentation (2021) (38)
Connectionist Temporal Classification with Maximum Entropy Regularization (2018) (38)
Manifold-Ranking-Based Keyword Propagation for Image Retrieval (2006) (38)
Blindly separating mixtures of multiple layers with spatial shifts (2008) (38)
TurboPixel Segmentation Using Eigen-Images (2010) (36)
Kernel Trick Embedded Gaussian Mixture Model (2003) (35)
Active learning with adaptive regularization (2011) (34)
Zero-shot Handwritten Chinese Character Recognition with hierarchical decomposition embedding (2020) (34)
Short-term traffic flow forecasting using Sampling Markov Chain method with incomplete data (2004) (33)
Cyborg Intelligence: Recent Progress and Future Directions (2016) (33)
Multi-View Local Learning (2008) (32)
Assessing features for electroencephalographic signal categorization (2005) (32)
Solving one-class problem with outlier examples by SVM (2015) (32)
Semi-supervised sub-manifold discriminant analysis (2008) (32)
Sparse Coding with Gated Learned ISTA (2020) (31)
Deep ranking: Triplet MatchNet for music metric learning (2017) (31)
Efficient Euclidean projections via Piecewise Root Finding and its application in gradient projection (2011) (30)
Single image dehazing in inhomogeneous atmosphere (2014) (30)
Solving job-shop scheduling problem with priority using neural network (1991) (29)
Predicting Seizures from Electroencephalography Recordings: A Knowledge Transfer Strategy (2016) (29)
Semi-definite Manifold Alignment (2007) (29)
Blind Source Extraction Using Generalized Autocorrelations (2007) (29)
Gabor face recognition by multi-channel classifier fusion of supervised kernel manifold learning (2012) (28)
Audio–Visual Deep Clustering for Speech Separation (2019) (28)
Semi-supervised ranking aggregation (2008) (28)
Instance-level Semisupervised Multiple Instance Learning (2008) (28)
Robust non-negative matrix factorization via joint sparse and graph regularization for transfer learning (2013) (28)
Cuts3vm: a fast semi-supervised svm algorithm (2008) (27)
Semi-supervised discriminative classification with application to tumorous tissues segmentation of MR brain images (2009) (27)
Attribute-Based Synthetic Network (ABS-Net): Learning more from pseudo feature representations (2018) (27)
Bayesian Network Methods for Traffic Flow Forecasting with Incomplete Data (2004) (27)
A novel algorithm for rotated human face detection (2000) (26)
Prioritized Architecture Sampling with Monto-Carlo Tree Search (2021) (26)
Tunable Nearest Neighbor Classifier (2004) (26)
Separation of Music Signals by Harmonic Structure Modeling (2005) (26)
Semi-supervised Classification Using Local and Global Regularization (2008) (25)
An optimal kernel feature extractor and its application to EEG signal classification (2006) (25)
Blind separation of superimposed images with unknown motions (2009) (25)
Classification of gene-expression data: The manifold-based metric learning way (2006) (25)
RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning (2020) (24)
Fast Branch Convolutional Neural Network for Traffic Sign Recognition (2017) (23)
Listen and Look: Audio–Visual Matching Assisted Speech Source Separation (2018) (23)
Semisupervised Learning Using Negative Labels (2011) (23)
Image-Text Surgery: Efficient Concept Learning in Image Captioning by Generating Pseudopairs (2018) (22)
Kernel K-means Based Framework for Aggregate Outputs Classification (2009) (22)
A general framework for transfer sparse subspace learning (2012) (22)
Knowledge Transfer on Hybrid Graph (2009) (22)
Robust Few-Shot Learning for User-Provided Data (2020) (22)
Robust self-tuning semi-supervised learning (2007) (22)
Weighted competition scale-free network. (2004) (22)
Subspace ensembles for classification (2007) (21)
Gaussian moments for noisy complexity pursuit (2006) (21)
Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning (2021) (21)
Learning to rank tags (2010) (21)
Dependent Online Kernel Learning With Constant Number of Random Fourier Features (2015) (21)
Reborn Filters: Pruning Convolutional Neural Networks with Limited Data (2020) (21)
Locally Free Weight Sharing for Network Width Search (2021) (21)
Exploring the structure of supervised data by Discriminant Isometric Mapping (2005) (20)
An Accelerated Linearly Convergent Stochastic L-BFGS Algorithm (2019) (20)
Multi-view EM Algorithm for Finite Mixture Models (2005) (20)
Zero-Shot Learning by Generating Pseudo Feature Representations (2017) (20)
Active curve axis Gaussian mixture models (2005) (20)
Interactive Image Segmentation With Multiple Linear Reconstructions in Windows (2011) (19)
Learning On-Line Classification via Decorrelated LMS Algorithm: Application to Brain-Computer Interfaces (2005) (19)
BCNet: Searching for Network Width with Bilaterally Coupled Network (2021) (19)
Extended Nearest Feature Line Classifier (2004) (18)
Multi-Scale Recurrent Neural Network for Sound Event Detection (2018) (18)
Simultaneous Heterogeneous Data Clustering Based on Higher Order Relationships (2007) (18)
What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues (2019) (18)
Learning an Orthogonal and Smooth Subspace for Image Classification (2009) (17)
Contour graph based human tracking and action sequence recognition (2008) (17)
Unsupervised Large Margin Discriminative Projection (2011) (17)
A Random Walks Method for Text Classification (2006) (17)
On the Sample Complexity of Random Fourier Features for Online Learning (2014) (17)
Challenges in machine learning (2013) (16)
Pseudo Relevance Feedback Based on Iterative Probabilistic One-Class SVMs in Web Image Retrieval (2004) (16)
Unsupervised Maximum Margin Feature Selection with manifold regularization (2009) (16)
An Analytical Mapping for LLE and Its Application in Multi-Pose Face Synthesis (2003) (16)
Learning a subspace for clustering via pattern shrinking (2013) (16)
What if the irresponsible teachers are dominating? a method of training on samples and clustering on teachers (2010) (16)
On-line evolutionary exponential family mixture (2009) (16)
Poster paper: Predicting seizures from electroencephalography recordings: A knowledge transfer strategy (2016) (15)
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition (2021) (15)
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets (2021) (15)
Block-Quantized Support Vector Ordinal Regression (2009) (15)
Vision Transformer Architecture Search (2021) (15)
Collective Annotation of Music from Multiple Semantic Categories (2008) (15)
Knowledge Distillation from Few Samples (2018) (15)
Semisupervised Learning Based on Generalized Point Charge Models (2008) (14)
Incremental multiple instance outlier detection (2015) (14)
Separation of Voice and Music by Harmonic Structure Stability Analysis (2005) (14)
Boosting with pairwise constraints (2010) (14)
Learning similarity metric with SVM (2012) (14)
Boosting GMM and Its Two Applications (2005) (14)
Sill-Net: Feature Augmentation with Separated Illumination Representation (2021) (14)
Microscopic model of financial markets based on belief propagation (2005) (14)
Multi-Stage MultiTask Feature Learning ∗ (2012) (14)
Leveraging mixed and incomplete outcomes via reduced-rank modeling (2018) (13)
Fast Multilevel Transduction on Graphs (2007) (13)
Optimal Dimensionality Discriminant Analysis and Its Application to Image Recognition (2007) (13)
Boosting Few-Shot Image Recognition Via Domain Alignment Prototypical Networks (2018) (13)
Deep Gesture Video Generation With Learning on Regions of Interest (2020) (13)
Relaxed sparse eigenvalue conditions for sparse estimation via non-convex regularized regression (2013) (13)
Metric learning based data augmentation for environmental sound classification (2017) (13)
Online kernel learning with nearly constant support vectors (2016) (12)
Probabilistic tangent subspace: a unified view (2004) (12)
Multilevel Belief Propagation for Fast Inference on Markov Random Fields (2007) (12)
Fast nonlinear autocorrelation algorithm for source separation (2009) (12)
Image deblurring with matrix regression and gradient evolution (2012) (12)
Efficient Active Learning with Boosting (2009) (12)
A multilevel approach for learning from labeled and unlabeled data on graphs (2010) (11)
Compressing Deep Neural Networks With Sparse Matrix Factorization (2019) (11)
ViTAS: Vision Transformer Architecture Search (2021) (11)
Distance metric learning by knowledge embedding (2004) (11)
End-to-end Chinese text recognition (2017) (11)
Semi-Supervised Mean Fields (2007) (11)
Nonlinear innovation to blind source separation (2007) (11)
On Connections Between Regularizations for Improving DNN Robustness (2020) (10)
Semi-Supervised Classification on Evolutionary Data (2009) (10)
Neural Network Architecture Optimization through Submodularity and Supermodularity (2016) (10)
On Discriminative Semi-Supervised Classification (2008) (10)
Regularized Tree Partitioning and Its Application to Unsupervised Image Segmentation (2014) (10)
Energy predictability to blind source separation (2006) (10)
Audio Classical Composer Identification by Deep Neural Network (2013) (10)
Spline Embedding for Nonlinear Dimensionality Reduction (2006) (10)
Combining stroke-based and selection-based relevance feedback for content-based image retrieval (2007) (9)
GreedyNASv2: Greedier Search with a Greedy Path Filter (2021) (9)
Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples (2021) (9)
Learning Discriminative Piecewise Linear Models with Boundary Points (2010) (9)
Road Network Metric Learning for Estimated Time of Arrival (2020) (9)
Localized Content-Based Image Retrieval Using Semi-Supervised Multiple Instance Learning (2007) (9)
Audio tonality mode classification without tonic annotations (2008) (9)
FMA-ETA: Estimating Travel Time Entirely Based on FFN with Attention (2020) (9)
Multiple random walk and its application in content-based image retrieval (2005) (9)
Explicitly Learning Topology for Differentiable Neural Architecture Search (2020) (9)
Semi-Supervised Music Genre Classification (2007) (9)
On the On-line Learning Algorithms for EEG Signal Classification in Brain Computer Interfaces (2005) (8)
Constructing Geographic and Long-term Temporal Graph for Traffic Forecasting (2020) (8)
A novel unsupervised approach to discovering regions of interest in traffic images (2015) (8)
Clustering in Knowledge Embedded Space (2003) (8)
Visual object recognition using probabilistic kernel subspace similarity (2005) (8)
Adversarial Margin Maximization Networks (2019) (8)
Efficient multi-class unlabeled constrained semi-supervised SVM (2009) (8)
Hierarchical automatic curriculum learning: Converting a sparse reward navigation task into dense reward (2019) (8)
Spectral feature analysis (2005) (8)
Finite Mixture Models with Negative Components (2005) (8)
Learning distance metric for semi-supervised image segmentation (2008) (8)
Rare Chinese character recognition by Radical Extraction Network (2017) (7)
CoDriver ETA: Combine Driver Information in Estimated Time of Arrival by Driving Style Learning Auxiliary Task (2022) (7)
Robust non-negative matrix factorization via joint sparse and graph regularization for transfer learning (2013) (7)
Multi-view EM algorithm and its application to color image segmentation (2004) (7)
Automatic Peak Number Detection in Image Symmetry Analysis (2004) (7)
Automated cartridge identification for firearm authentication (2001) (7)
A Fast Dual Projected Newton Method for l1-Regularized Least Squares (2011) (7)
Boosting Web image search by co-ranking (2005) (7)
On the formation of degree and cluster-degree correlations in scale-free networks (2005) (7)
Contour Matching Based on Belief Propagation (2006) (7)
What if the Irresponsible Teachers Are Dominating? (2010) (7)
On the Generalization Ability of Online Gradient Descent Algorithm Under the Quadratic Growth Condition (2018) (7)
Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation (2021) (7)
Texture Image Segmentation: An Interactive Framework Based on Adaptive Features and Transductive Learning (2006) (7)
Probabilistic Labeled Semi-supervised SVM (2009) (6)
Extracting the Optimal Dimensionality for Discriminant Analysis (2007) (6)
Intention-Related Natural Language Grounding via Object Affordance Detection and Intention Semantic Extraction (2020) (6)
Data Agnostic Filter Gating For Efficient Deep Networks (2020) (6)
Generalized Additive Bayesian Network Classifiers (2007) (6)
Kernel GMM and its application to image binarization (2003) (6)
Active Morphable Model: an efficient method for face analysis (2004) (6)
Instance-level Semi-supervised Multiple Instance Learning (2008) (6)
Network Game and Boosting (2005) (6)
A Discriminative Method For Semi-Automated Tumorous Tissues Segmentation of MR Brain Images (2006) (6)
Learning a subspace for face image clustering via trace ratio criterion (2009) (6)
A novel approach to fingerprint ridge line extraction (2005) (6)
Short-Term Traffic Flow Forecasting Using Expanded Bayesian Network for Incomplete Data (2004) (6)
Robust finite mixture regression for heterogeneous targets (2018) (6)
Active model selection for Graph-Based Semi-Supervised Learning (2008) (6)
Optimizing Top- $k$ Multiclass SVM via Semismooth Newton Algorithm (2018) (6)
Spectral Clustering for Time Series (2005) (6)
Sparse Norm-Regularized Reconstructive Coefficients Learning (2009) (6)
Maximum Margin Clustering with Multivariate Loss Function (2009) (6)
Model-Protected Multi-Task Learning (2018) (6)
W-Boost and its application to Web image classification (2004) (6)
Graph Based Multi-class Semi-supervised Learning Using Gaussian Process (2006) (6)
Human eyes detection using hybrid neural method (1998) (6)
Color Image Segmentation: Kernel Do the Feature Space (2003) (5)
Network Boosting for BCI Applications (2005) (5)
Session Identification Based on Time Interval in Web Log Mining (2004) (5)
Semi-Supervised Additive Logistic Regression: A Gradient Descent Solution (2007) (5)
Network boosting on different networks (2006) (5)
Analysis of classification margin for classification accuracy with applications (2009) (5)
Mamdanian logic (2004) (5)
Special Article Series on Signal Processing Education via Hands-On and Design Projects [From the Guest Editors] (2017) (5)
Automatically Design Convolutional Neural Networks by Optimization With Submodularity and Supermodularity (2020) (5)
A Flexible and Effective Linearization Method for Subspace Learning (2013) (5)
VD-PCR: Improving visual dialog with pronoun coreference resolution (2022) (5)
A faster cutting plane algorithm with accelerated line search for linear SVM (2017) (5)
Large-scale eigenvector approximation via Hilbert Space Embedding Nyström (2015) (5)
Symmetry feature in content-based image retrieval (2004) (5)
High-dimensional Inference via Lipschitz Sparsity-Yielding Regularizers (2013) (5)
Beyond Banditron: A Conservative and Efficient Reduction for Online Multiclass Prediction with Bandit Setting Model (2009) (5)
MACBSE: Extracting signals with linear autocorrelations (2008) (4)
Pattern Recognition (2012) (4)
Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility (2020) (4)
Localized content based image retrieval by multiple instance active learning (2008) (4)
DeepDefense: Training Deep Neural Networks with Improved Robustness (2018) (4)
An evolutionary system for near-regular texture synthesis (2007) (4)
Type II Topological Logic C1T and Approximate Reasoning (2005) (4)
Recent Advances in Large Margin Learning (2021) (4)
Learning high-dimensional correspondence via manifold learning and local approximation (2014) (4)
Relevant linear feature extraction using side-information and unlabeled data (2004) (4)
A Real-Time Hand Pose Estimation System with Retrieval (2015) (4)
Interactive Visual Object Extraction Based on Belief Propagation (2007) (4)
Compressed Spectral Clustering (2009) (4)
A unified optimization based learning method for image retrieval (2005) (4)
Directional symmetry transform for human face location (1998) (4)
Semi-supervised dimensionality reduction for image retrieval (2008) (3)
A New Approach to Human Motion Sequence Recognition with Application to Diving Actions (2005) (3)
Maximum Margin Embedding (2008) (3)
Discovery of Relationships between Interests from Bulletin Board System by Dissimilarity Reconstruction (2003) (3)
SVM-SVDD: A New Method to Solve Data Description Problem with Negative Examples (2013) (3)
xOrder: A Model Agnostic Post-Processing Framework for Achieving Ranking Fairness While Maintaining Algorithm Utility (2020) (3)
When Counterpoint Meets Chinese Folk Melodies (2020) (3)
Graph-based semi-supervised learning (2011) (3)
Hands-On Learning Through Racing: Signal processing and engineering education through the China National Collegiate Intelligent Model Car Competition (2017) (3)
Classifier combination based on active learning (2004) (3)
Learning probability density functions from marginal distributions with applications to Gaussian mixtures (2005) (3)
Augmented tree partitioning for interactive image segmentation (2008) (3)
Type-I Topological Logic C1I and Approximate Reasoning (2005) (3)
Training Deep Belief Network with Sparse Hidden Units (2014) (3)
Learning high-dimensional correspondence via manifold learning and local approximation (2013) (3)
A New Anchor-Labeling Method For Oriented Text Detection Using Dense Detection Framework (2018) (3)
New boosting methods of Gaussian processes for regression (2005) (3)
Mixture Random Effect Model Based Meta-analysis for Medical Data Mining (2005) (3)
A semi-supervised classification method based on transduction of labeled data (2004) (3)
Fair and Consistent Federated Learning (2021) (3)
A Neural Network-Based Method for Brain Abnormality Detection in MR Images Using Zernike Moments and Geometric Moments (2016) (2)
Learning Fast Approximations of Sparse Nonlinear Regression (2020) (2)
Fingerprint Ridge Line Extraction Based on Tracing and Directional Feedback (2005) (2)
Erratum to "Distance metric learning by knowledge embedding" [Pattern Recognition 37(1)161-163(2004)] (2004) (2)
Self-enhanced relevant component analysis with side-information and unlabeled data (2004) (2)
Deep Likelihood Network for Image Restoration With Multiple Degradation Levels (2021) (2)
Discriminant Additive Tangent Spaces for Object Recognition (2007) (2)
The Definitions of Interpretability and Learning of Interpretable Models (2021) (2)
Learning and innovation expand cooperative network topologies (2007) (2)
On the Scale-Free Intersection Graphs (2005) (2)
Efficient Sparse Recovery via Adaptive Non-Convex Regularizers with Oracle Property (2014) (2)
Diversity in Neural Architecture Search (2020) (2)
Learning with only multiple instance positive bags (2016) (2)
A fully automated face recognition system under different conditions (1998) (2)
Rethinking Audio-Visual Synchronization for Active Speaker Detection (2022) (2)
Correcting the User Feedback-Loop Bias for Recommendation Systems (2021) (2)
Soft Constraint Harmonic Energy Minimization for Transductive Learning and its Two Interpretations (2009) (2)
Self-Reinforcing Unsupervised Matching (2019) (2)
Learned ISTA with Error-based Thresholding for Adaptive Sparse Coding (2021) (2)
Optimizing Recurrent Neural Networks Architectures under Time Constraints (2016) (2)
A new approach to discover interlacing data structures in high-dimensional space (2009) (2)
Deep Generative Adversarial Networks for the Sparse Signal Denoising (2018) (2)
Learning the Supervised NLDR Mapping for Classification (2004) (1)
Learning with Privileged Tasks (2021) (1)
CollageNet: Fusing arbitrary melody and accompaniment into a coherent song (2021) (1)
Efficient Superimposition Recovering Algorithm (2012) (1)
Solving Job-Shop Scheduling Problem with Amv Using Neural Network (1992) (1)
Using a Random Subspace Predictor to Integrate Spatial and Temporal Information for Traffic Flow Forecasting (2005) (1)
TRIPLET MATCHNET FOR MUSIC METRIC LEARNING (2017) (1)
Automatic Methods for Screening and Assessing Scoliosis by 2-D Digital Images (2015) (1)
Location Signatures That You Don't See: Highlights from the IEEE Signal Processing Cup 2016 Student Competition [SP Education] (2016) (1)
Crease's discriminating power in palmprint recognition (2001) (1)
Reconfigurable 3D colour information acquisition system based on laser (2005) (1)
Homotopy Regularization for Boosting (2010) (1)
A Multi-agent Based approach to Modelling and Rendering of 3D Tree Bark Textures (2003) (1)
Leaf vein segmentation with self-supervision (2022) (1)
Local Regularized Least-Square Dimensionality Reduction (2008) (1)
Deep transformer: A framework for 2D text image rectification from planar transformations (2018) (1)
Efficient Multi-Stage Conjugate Gradient for Trust Region Step (2012) (1)
Learning probabilistic kernel feature subspace with side-information for classification (2004) (1)
Fault-Tolerant EM Algorithm for GMM in Sensor Networks (2005) (1)
On the clustering property of the random intersection graphs (2008) (1)
PRICE FORMATION BASED ON PARTICLE-CLUSTER AGGREGATION (2005) (1)
Image Captioning with Partially Rewarded Imitation Learning (2019) (1)
Graph-Based Semi-Supervised Learning on Evolutionary Data (2015) (1)
Patterns classification of nonlinear multi-dimensional time series based on manifold learning (2011) (1)
Smoothness Maximization via Gradient Descents (2007) (1)
Tree-based compact hashing for approximate nearest neighbor search (2015) (1)
Lower bounds estimation to KL transform in face representation and recognition (2002) (1)
Guest Editorial Introduction to the Special Issue on Pattern Recognition Technologies for Anti-Terrorism Applications (2011) (1)
Exploiting the Limits of Structure Learning via Inherent Symmetry (2014) (1)
Signature data generation method (2001) (1)
Learning Event Extraction From a Few Guideline Examples (2022) (1)
Topic model with constrainted word burstiness intensities (2011) (1)
Collaboration Equilibrium in Federated Learning (2021) (1)
Methods for Photomosaic Generation Based on Different Image Similarity and Division Strategies (2013) (1)
Multiple face location using motion information (2000) (1)
A Fixed-Point Algorithm for Blind Separation of Temporally Correlated Sources (2007) (1)
Robust finite mixture regression for heterogeneous targets (2018) (1)
A Bayesian Method for High-Frequency Restoration of Low Sample-Rate Speech (2005) (1)
Joint Spatial-Temporal and Appearance Modeling with Transformer for Multiple Object Tracking (2022) (1)
Fusion Recurrent Neural Network (2020) (1)
marginFace:Anovelfacerecognitionmethodbyaverageneighborhoodmargin maximization (2009) (1)
Multi-Pitch Estimation Based on Partial Event and Support Transfer (2007) (1)
Image classification via SVM using in-between universum samples (2009) (1)
Non-Asymptotic Analysis of Relational Learning with One Network (2014) (1)
Semismooth Newton Algorithm for Efficient Projections onto ℓ1, ∞-norm Ball (2020) (1)
Relational Self-Supervised Learning (2022) (1)
Efficient blind separation of reflection layers with nonparametric transformations (2013) (1)
Estimating Fractal Intrinsic Dimension from the Neighborhood (2006) (1)
Compressed Learning with Regular Concept (2010) (0)
Audio Artist Identification by Deep Neural Network (2013) (0)
An Overview of Signal Processing Engineering Education in China (2020) (0)
HARD-LABEL BLACK-BOX ADVERSARIAL EXAMPLES (2021) (0)
ACTIVE TEXTURE SYNTHESIS BASED ON MULTI-AGENT (2004) (0)
Stretchable Cells Help DARTS Search Better (2020) (0)
Mining interlacing manifolds in high dimensional spaces (2011) (0)
A general framework for transfer sparse subspace learning (2012) (0)
Rapid and BriefCommunication Distance metric learning by knowledge embedding (2004) (0)
Optimizing Top-<inline-formula> <tex-math notation="LaTeX">$k$ </tex-math> </inline-formula> Multiclass SVM via Semismooth Newton Algorithm (2018) (0)
Exemplar-Based Human Contour Tracking (2006) (0)
Automatic Elements Extraction of Chinese Web News Using Prior Information of Content and Structure (2013) (0)
Unsupervised Disentanglement Learning by intervention (2020) (0)
Nonlinear Dimensionality Reduction (2021) (0)
Collaborative learning by boosting in distributed environments (2008) (0)
A fast mean-field method for large-scale high-dimensional data and its application in colonic polyp detection at CT colonography (2009) (0)
Semi-supervised Gaussian random field transduction and induction (2008) (0)
Artificial Intelligence: Second CCF International Conference, ICAI 2019, Xuzhou, China, August 22-23, 2019, Proceedings (2019) (0)
Distortion-Free Nonlinear Dimensionality Reduction (2008) (0)
PCA-FA: Applying Supervised Learning to Analyze Gene Expression Data (2012) (0)
Semismooth Newton Algorithm for Efficient Projections onto $\ell_{1, \infty}$-norm Ball (2020) (0)
CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization (2021) (0)
A DNN Framework For Text Image Rectification From Planar Transformations (2016) (0)
Learning to Collaborate (2021) (0)
Extreme Value Preserving Networks (2020) (0)
Synergy-of-Experts: Collaborate to Improve Adversarial Robustness (2022) (0)
Learning a Proposal Classifier for Multiple Target Tracking (Supplementary Material) (2021) (0)
Correction to: Pattern Recognition and Computer Vision (2021) (0)
On the Conditions of Sparse Parameter Estimation via Log-Sum Penalty Regularization (2013) (0)
Learning Kernels via Margin-and-Radius Ratios (2010) (0)
Equivalence Knowledge Mass and Approximate Reasoning in R − Logic C R ( I ) (0)
Importance Feature Sampling in Random Subspace (2005) (0)
Extreme Values are Accurate and Robust in Deep Networks (2019) (0)
Proceedings of the First international conference on Computer Vision for Biomedical Image Applications (2005) (0)
Transferred Discriminant Analysis (2008) (0)
Equivalence Knowledge Mass and Approximate Reasoning in $\mathcal{R}$---Logic $\mathbb{C}_\mathcal{R}$ (I) (2008) (0)
Instance- and bag-level manifold regularization for aggregate outputs classification (2009) (0)
Equivalence Knowledge Mass and Approximate Reasoning in -Logic (I) (2008) (0)
Deep Likelihood Network for Image Restoration with Multiple Degradations (2019) (0)
A Theoretical View of Linear Backpropagation and Its Convergence (2021) (0)
Towards optimal query design for relevance feedback in image retrieval (2008) (0)
Machine Learning Way for Boosting Accuracy in Canonical Correlation Analysis based Frequency Recognition (2006) (0)
Ranking with semi-supervised distance metric learning and its application to housing potential estimation (2007) (0)
Workshop on Model Mining (2021) (0)
Music playlist prediction via detecting song moods (2013) (0)
Exophoric Pronoun Resolution in Dialogues with Topic Regularization (2021) (0)
Image Deblurring with Coupled Dictionary Learning (2014) (0)
Adversarial Attacks on Deep Unfolded Networks for Sparse Coding (2020) (0)
Hand segmentation with metric learning superpixels (2014) (0)
Robust text image alignment with template for information retrieval (2017) (0)
Evolutionary mechanisms in self-organizing map (2003) (0)
Performance Improvement of Traffic Flow Prediction Model using Combination of Support Vector Machine and Rough Set (2018) (0)
Evolutionary Learning (2021) (0)
A New Adaptive Self-Organizing Map (2004) (0)
DiFNet: Densely High-Frequency Convolutional Neural Networks (2021) (0)
A Theory of High-dimensional Sparse Estimation via Non-Convex Regularized Regression (2013) (0)
On the Equivalence of Linear Discriminant Analysis and Least Squares Regression. (2022) (0)
Solve JIGSAW puzzle problems with Co-Normalization (2011) (0)
Domain Transfer via Multiple Sources Regularization (2014) (0)
A brief introduction to the special issue for ISNN2010 (2012) (0)
DyViSE: Dynamic Vision-Guided Speaker Embedding for Audio-Visual Speaker Diarization (2022) (0)
DCR: Disentangled component representation for sketch generation (2021) (0)
Visual Tracking via Part-Based Model with Auxiliary Objects (2015) (0)
Damping proximal coordinate descent algorithm for non-convex regularization (2015) (0)
Incremental multiple instance outlier detection (2014) (0)

This paper list is powered by the following services:

What Schools Are Affiliated With Chang-shui Zhang?

Chang-shui Zhang is affiliated with the following schools:

Tsinghua University

Chang-shui Zhang's Academic­Influence.com Rankings

Chang-shui Zhang's Degrees

Why Is Chang-shui Zhang Influential?

Chang-shui Zhang's Published Works

Published Works

What Schools Are Affiliated With Chang-shui Zhang?

Chang-shui Zhang's AcademicInfluence.com Rankings