Chang-shui Zhang
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Chang-shui Zhangengineering Degrees
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Chang-shui Zhangcomputer-science Degrees
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Engineering Computer Science
Chang-shui Zhang's Degrees
- Bachelors Electrical Engineering Tsinghua University
Why Is Chang-shui Zhang Influential?
(Suggest an Edit or Addition)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)
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What Schools Are Affiliated With Chang-shui Zhang?
Chang-shui Zhang is affiliated with the following schools: