Qinghua Hu

According to our database1, Qinghua Hu authored at least 212 papers between 2004 and 2019.

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Bibliography

2019
Weighted Graph Embedding-Based Metric Learning for Kinship Verification.
IEEE Trans. Image Processing, 2019

2018
Feature Selection Based on Neighborhood Discrimination Index.
IEEE Trans. Neural Netw. Learning Syst., 2018

Low-Rank Linear Embedding for Image Recognition.
IEEE Trans. Multimedia, 2018

Large-Scale Multimodality Attribute Reduction With Multi-Kernel Fuzzy Rough Sets.
IEEE Trans. Fuzzy Systems, 2018

Neighbor Inconsistent Pair Selection for Attribute Reduction by Rough Set Approach.
IEEE Trans. Fuzzy Systems, 2018

Locally Linear Approximation Approach for Incomplete Data.
IEEE Trans. Cybernetics, 2018

Kernel-Based Semantic Hashing for Gait Retrieval.
IEEE Trans. Circuits Syst. Video Techn., 2018

Pooling the Convolutional Layers in Deep ConvNets for Video Action Recognition.
IEEE Trans. Circuits Syst. Video Techn., 2018

Multi-label feature selection with missing labels.
Pattern Recognition, 2018

Multi-view label embedding.
Pattern Recognition, 2018

Deep super-class learning for long-tail distributed image classification.
Pattern Recognition, 2018

Efficient multi-modal geometric mean metric learning.
Pattern Recognition, 2018

Driver State Analysis Based on Imperfect Multi-view Evidence Support.
Neural Processing Letters, 2018

Feature selection based on maximal neighborhood discernibility.
Int. J. Machine Learning & Cybernetics, 2018

Partially monotonic decision trees.
Inf. Sci., 2018

Co-regularized unsupervised feature selection.
Neurocomputing, 2018

Uncertain data classification with additive kernel support vector machine.
Data Knowl. Eng., 2018

SG-FCN: A Motion and Memory-Based Deep Learning Model for Video Saliency Detection.
CoRR, 2018

Detecting Adversarial Examples via Key-based Network.
CoRR, 2018

Vision Meets Drones: A Challenge.
CoRR, 2018

Latent Subspace Representation for Multiclass Classification.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Monotonicity Induced Parameter Learning for Bayesian Networks with Limited Data.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Towards Generalized and Efficient Metric Learning on Riemannian Manifold.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

FISH-MML: Fisher-HSIC Multi-View Metric Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Monotonicity Extraction for Monotonic Bayesian Networks Parameter Learning.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Ensemble of Label Specific Features for Multi-Label Classification.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Feature Reinforcement Network for Image Classification.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Support Vector Metric Learning on Symmetric Positive Definite Manifold.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Generalized Multi-view Unsupervised Feature Selection.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Finding the K Nearest Objects over Time Dependent Road Networks.
Proceedings of the Web and Big Data - Second International Joint Conference, 2018

Latent Semantic Aware Multi-View Multi-Label Classification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Twitter summarization with social-temporal context.
World Wide Web, 2017

Semisupervised Online Multikernel Similarity Learning for Image Retrieval.
IEEE Trans. Multimedia, 2017

Flexible Multi-View Dimensionality Co-Reduction.
IEEE Trans. Image Processing, 2017

A Fitting Model for Feature Selection With Fuzzy Rough Sets.
IEEE Trans. Fuzzy Systems, 2017

Streaming Feature Selection for Multilabel Learning Based on Fuzzy Mutual Information.
IEEE Trans. Fuzzy Systems, 2017

Semi-Supervised Image-to-Video Adaptation for Video Action Recognition.
IEEE Trans. Cybernetics, 2017

Attribute Selection for Partially Labeled Categorical Data By Rough Set Approach.
IEEE Trans. Cybernetics, 2017

Subspace clustering guided unsupervised feature selection.
Pattern Recognition, 2017

A unified information measure for general binary relations.
Knowl.-Based Syst., 2017

Probability approach for interval-valued ordered decision systems in dominance-based fuzzy rough set theory.
Journal of Intelligent and Fuzzy Systems, 2017

Non-convex regularized self-representation for unsupervised feature selection.
Image Vision Comput., 2017

Granular Computing Based Machine Learning in the Era of Big Data.
Inf. Sci., 2017

Support function machine for set-based classification with application to water quality evaluation.
Inf. Sci., 2017

Self-adaptive robust nonlinear regression for unknown noise via mixture of Gaussians.
Neurocomputing, 2017

Hierarchical Feature Selection with Recursive Regularization.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Stochastic Sequential Minimal Optimization for Large-Scale Linear SVM.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Multi-view Label Space Dimension Reduction.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Independence regularized multi-label ensemble.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Top attention in line with time: A light-weight strategy.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Mixed sparsity regularized multi-view unsupervised feature selection.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Unsupervised feature selection by manifold regularized self-representation.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Semi-Supervised Multi-view Multi-label Classification Based on Nonnegative Matrix Factorization.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Latent Multi-view Subspace Clustering.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Relevance and Coherence Based Image Caption.
Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

2016
Data-Distribution-Aware Fuzzy Rough Set Model and its Application to Robust Classification.
IEEE Trans. Cybernetics, 2016

Efficient Background Modeling Based on Sparse Representation and Outlier Iterative Removal.
IEEE Trans. Circuits Syst. Video Techn., 2016

Convolutional neural random fields for action recognition.
Pattern Recognition, 2016

Semi-supervised image clustering with multi-modal information.
Multimedia Syst., 2016

Feature and instance reduction for PNN classifiers based on fuzzy rough sets.
Int. J. Machine Learning & Cybernetics, 2016

Multivariate decision trees with monotonicity constraints.
Knowl.-Based Syst., 2016

Discrete particle swarm optimization approach for cost sensitive attribute reduction.
Knowl.-Based Syst., 2016

Attribute reduction in interval-valued information systems based on information entropies.
Frontiers of IT & EE, 2016

Decision-theoretic rough set approach for fuzzy decisions based on fuzzy probability measure and decision making.
Journal of Intelligent and Fuzzy Systems, 2016

Combining neighborhood separable subspaces for classification via sparsity regularized optimization.
Inf. Sci., 2016

Cost-sensitive feature selection based on adaptive neighborhood granularity with multi-level confidence.
Inf. Sci., 2016

Multi-label feature selection with streaming labels.
Inf. Sci., 2016

Multi-document summarization via group sparse learning.
Inf. Sci., 2016

Day-Ahead Prediction of Wind Speed with Deep Feature Learning.
IJPRAI, 2016

Hierarchical support vector machine based structural classification with fused hierarchies.
Neurocomputing, 2016

Cluster structure preserving unsupervised feature selection for multi-view tasks.
Neurocomputing, 2016

Ultra-short-term wind speed prediction based on multi-scale predictability analysis.
Cluster Computing, 2016

Multi-label feature selection based on neighborhood mutual information.
Appl. Soft Comput., 2016

Complex convolution Kernel for deep networks.
Proceedings of the 8th International Conference on Wireless Communications & Signal Processing, 2016

DualPOS: A Semi-supervised Attribute Selection Approach for Symbolic Data Based on Rough Set Theory.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

Semi-supervised Clustering Based on Artificial Bee Colony Algorithm with Kernel Strategy.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

Set to Set Visual Tracking.
Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

Multi-view Representative and Informative Induced Active Learning.
Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

Locally Weighted Ensemble Learning for Regression.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

A Self-Representation Induced Classifier.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Robust Multi-label Feature Selection with Missing Labels.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

AdaUK-Means: An Ensemble Boosting Clustering Algorithm on Uncertain Objects.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

Unsupervised Subspace Learning via Analysis Dictionary Learning.
Proceedings of the Biometric Recognition - 11th Chinese Conference, 2016

A Label Inference Method Based on Maximal Entropy Random Walk over Graphs.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

Coupled Dictionary Learning for Unsupervised Feature Selection.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Heterogeneous Feature Selection With Multi-Modal Deep Neural Networks and Sparse Group LASSO.
IEEE Trans. Multimedia, 2015

Unsupervised feature selection by regularized self-representation.
Pattern Recognition, 2015

Improved support vector machine algorithm for heterogeneous data.
Pattern Recognition, 2015

Kernel sparse representation for time series classification.
Inf. Sci., 2015

Combining heterogeneous deep neural networks with conditional random fields for Chinese dialogue act recognition.
Neurocomputing, 2015

Kernel ridge regression for general noise model with its application.
Neurocomputing, 2015

Multi-label feature selection based on max-dependency and min-redundancy.
Neurocomputing, 2015

Large margin clustering on uncertain data by considering probability distribution similarity.
Neurocomputing, 2015

HAlign: Fast multiple similar DNA/RNA sequence alignment based on the centre star strategy.
Bioinformatics, 2015

An improved attribute reduction scheme with covering based rough sets.
Appl. Soft Comput., 2015

Fuzzy Rough Decision Trees for Multi-label Classification.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

Improved multi-kernel SVM for multi-modal and imbalanced dialogue act classification.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Random Feature Mapping with Signed Circulant Matrix Projection.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Heterogeneous Features Integration via Semi-supervised Multi-modal Deep Networks.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Salience based hierarchical fuzzy representation for object recognition.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Improved conditional random fields model with multi-trigger embedding for Chinese event extraction.
World Wide Web, 2014

Exploration of classification confidence in ensemble learning.
Pattern Recognition, 2014

Noise model based v-support vector regression with its application to short-term wind speed forecasting.
Neural Networks, 2014

Comparative analysis on margin based feature selection algorithms.
Int. J. Machine Learning & Cybernetics, 2014

Exploiting diversity for optimizing margin distribution in ensemble learning.
Knowl.-Based Syst., 2014

A heuristic approach to effective and efficient clustering on uncertain objects.
Knowl.-Based Syst., 2014

Multi-granularity distance metric learning via neighborhood granule margin maximization.
Inf. Sci., 2014

A novel method for attribute reduction of covering decision systems.
Inf. Sci., 2014

Fuzzy rough regression with application to wind speed prediction.
Inf. Sci., 2014

An approach to facial expression analysis with multi-model interactions.
Int. J. Comput. Math., 2014

Feature selection for monotonic classification via maximizing monotonic dependency.
Int. J. Comput. Intell. Syst., 2014

Set-based granular computing: A lattice model.
Int. J. Approx. Reasoning, 2014

Feature selection with test cost constraint.
Int. J. Approx. Reasoning, 2014

Fuzzy Rough Decision Trees.
Fundam. Inform., 2014

Fuzzy information systems and their homomorphisms.
Fuzzy Sets and Systems, 2014

A Sparse Outliers Iterative Removal Algorithm to Model the Background in the Video Sequences.
CoRR, 2014

Multi-label Feature Selection with Fuzzy Rough Sets.
Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

Multi-label Attribute Evaluation Based on Fuzzy Rough Sets.
Proceedings of the Rough Sets and Current Trends in Computing, 2014

What Can We Learn about Motion Videos from Still Images?
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Learning conditional random field with hierarchical representations for dialogue act recognition.
Proceedings of the INTERSPEECH 2014, 2014

Analysis of HEp-2 images using MD-LBP and MAD-bagging.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Classification of HEp-2 Cell Images Using Compact Multi-Scale Texture Information and Margin Distribution Based Bagging.
Proceedings of the Advanced Machine Learning Technologies and Applications, 2014

2013
Exploring Neighborhood Structures with Neighborhood Rough Sets in Classification Learning.
Proceedings of the Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, 2013

Communication Between Information Systems Using Fuzzy Rough Sets.
IEEE Trans. Fuzzy Systems, 2013

Robust Object Tracking Via Active Feature Selection.
IEEE Trans. Circuits Syst. Video Techn., 2013

On rough approximations of groups.
Int. J. Machine Learning & Cybernetics, 2013

Rule extraction from support vector machines based on consistent region covering reduction.
Knowl.-Based Syst., 2013

Robust feature selection based on regularized brownboost loss.
Knowl.-Based Syst., 2013

Adaptive neighborhood granularity selection and combination based on margin distribution optimization.
Inf. Sci., 2013

Dynamic classifier ensemble using classification confidence.
Neurocomputing, 2013

A Comparative Study of Ordered and Covering Information Systems.
Fundam. Inform., 2013

Exploring Margin for Dynamic Ensemble Selection.
Proceedings of the Rough Sets and Knowledge Technology - 8th International Conference, 2013

The effect of accent in recognizing dialog act in Chinese.
Proceedings of the 2013 International Conference Oriental COCOSDA held jointly with 2013 Conference on Asian Spoken Language Research and Evaluation (O-COCOSDA/CASLRE), 2013

2012
Rank Entropy-Based Decision Trees for Monotonic Classification.
IEEE Trans. Knowl. Data Eng., 2012

On Robust Fuzzy Rough Set Models.
IEEE Trans. Fuzzy Systems, 2012

Feature Selection for Monotonic Classification.
IEEE Trans. Fuzzy Systems, 2012

A Novel Algorithm for Finding Reducts With Fuzzy Rough Sets.
IEEE Trans. Fuzzy Systems, 2012

Large-margin feature selection for monotonic classification.
Knowl.-Based Syst., 2012

Communication between information systems with covering based rough sets.
Inf. Sci., 2012

Margin distribution based bagging pruning.
Neurocomputing, 2012

Rough C-means and Fuzzy Rough C-means for Colour Quantisation.
Fundam. Inform., 2012

Soft Minimum-Enclosing-Ball Based Robust Fuzzy Rough Sets.
Fundam. Inform., 2012

Feature selection with test cost constraint
CoRR, 2012

Granular association rules on two universes with four measures
CoRR, 2012

An improved approach to attribute reduction with covering rough sets
CoRR, 2012

Fuzzy Rough Decision Trees.
Proceedings of the Rough Sets and Current Trends in Computing, 2012

Facial Expressions Analysis Based on Cooperative Neuro-computing Interactions.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

Fault diagnosis based on pruned ensemble.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

Granular association rules with four subtypes.
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

Multi-scale Patch Based Collaborative Representation for Face Recognition with Margin Distribution Optimization.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Kernelized Fuzzy Rough Sets and Their Applications.
IEEE Trans. Knowl. Data Eng., 2011

Dynamic time warping constraint learning for large margin nearest neighbor classification.
Inf. Sci., 2011

Rule learning for classification based on neighborhood covering reduction.
Inf. Sci., 2011

Parameterized attribute reduction with Gaussian kernel based fuzzy rough sets.
Inf. Sci., 2011

Large-margin nearest neighbor classifiers via sample weight learning.
Neurocomputing, 2011

Neighborhood based sample and feature selection for SVM classification learning.
Neurocomputing, 2011

Fuzzy Mutual Information Based min-Redundancy and Max-Relevance Heterogeneous Feature Selection.
Int. J. Comput. Intell. Syst., 2011

Feature Selection in Decision Systems Based on Conditional Knowledge Granularity.
Int. J. Comput. Intell. Syst., 2011

Data compression with homomorphism in covering information systems.
Int. J. Approx. Reasoning, 2011

Kernelized Fuzzy Rough Sets Based Yawn Detection for Driver Fatigue Monitoring.
Fundam. Inform., 2011

Robust fuzzy rough classifiers.
Fuzzy Sets and Systems, 2011

Measuring relevance between discrete and continuous features based on neighborhood mutual information.
Expert Syst. Appl., 2011

Driver Status Recognition by Neighborhood Covering Rules.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Case-Based Classifiers with Fuzzy Rough Sets.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

A linear subspace learning approach via sparse coding.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Visual Object Recognition with Bagging of One Class Support Vector Machines.
Proceedings of the Second International Conference on Innovations in Bio-inspired Computing and Applications, 2011

2010
Selecting Discrete and Continuous Features Based on Neighborhood Decision Error Minimization.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2010

An efficient gene selection technique for cancer recognition based on neighborhood mutual information.
Int. J. Machine Learning & Cybernetics, 2010

Fuzzy preference based rough sets.
Inf. Sci., 2010

Soft fuzzy rough sets for robust feature evaluation and selection.
Inf. Sci., 2010

Feature evaluation and selection based on neighborhood soft margin.
Neurocomputing, 2010

Gaussian kernel based fuzzy rough sets: Model, uncertainty measures and applications.
Int. J. Approx. Reasoning, 2010

Feature Selection via Maximizing Fuzzy Dependency.
Fundam. Inform., 2010

A novel measure for evaluating classifiers.
Expert Syst. Appl., 2010

Some invariant properties of ordered information systems under homomorphism.
SCIENCE CHINA Information Sciences, 2010

Information entropy for ordinal classification.
SCIENCE CHINA Information Sciences, 2010

A Robust Fuzzy Rough Set Model Based on Minimum Enclosing Ball.
Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010

Weighted Nearest Neighbor Classification via Maximizing Classification Consistency.
Proceedings of the Rough Sets and Current Trends in Computing, 2010

2009
Kernelized Fuzzy Rough Sets.
Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009

Rough Image Colour Quantisation.
Proceedings of the Rough Sets, 2009

Feature Selection via Maximizing Neighborhood Soft Margin.
Proceedings of the Advances in Machine Learning, 2009

2008
Research on Rough Set Theory and Applications in China.
Trans. Rough Sets, 2008

Comments on "Fuzzy Probabilistic Approximation Spaces and Their Information Measures".
IEEE Trans. Fuzzy Systems, 2008

A comparative study on rough set based class imbalance learning.
Knowl.-Based Syst., 2008

Mixed feature selection based on granulation and approximation.
Knowl.-Based Syst., 2008

Communicating between information systems.
Inf. Sci., 2008

A weighted rough set based method developed for class imbalance learning.
Inf. Sci., 2008

Neighborhood rough set based heterogeneous feature subset selection.
Inf. Sci., 2008

Neighborhood classifiers.
Expert Syst. Appl., 2008

Stability Analysis on Rough Set Based Feature Evaluation.
Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

Fuzzy Preference Relation Rough Sets.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

Fuzzy Entropy based Max-Relevancy and Min-Redundancy Feature Selection.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

2007
EROS: Ensemble rough subspaces.
Pattern Recognition, 2007

Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation.
Pattern Recognition, 2007

A new approach to attribute reduction of consistent and inconsistent covering decision systems with covering rough sets.
Inf. Sci., 2007

Uncertainty measures for fuzzy relations and their applications.
Appl. Soft Comput., 2007

A Hybrid Method for Forecasting Stock Market Trend Using Soft-Thresholding De-noise Model and SVM.
Proceedings of the Rough Sets, 2007

Selecting Samples and Features for SVM Based on Neighborhood Model.
Proceedings of the Rough Sets, 2007

Weighted Rough Set Learning: Towards a Subjective Approach.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Consistency Based Attribute Reduction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

2006
Fuzzy Probabilistic Approximation Spaces and Their Information Measures.
IEEE Trans. Fuzzy Systems, 2006

Information-preserving hybrid data reduction based on fuzzy-rough techniques.
Pattern Recognition Letters, 2006

Analysis on Classification Performance of Rough Set Based Reducts.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Improved Feature Selection Algorithm Based on SVM and Correlation.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2005
Hybrid Attribute Reduction for Classification Based on A Fuzzy Rough Set Technique.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Constructing Rough Decision Forests.
Proceedings of the Rough Sets, 2005

Fuzzy Output Support Vector Machines for Classification.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Diversity Measure for Multiple Classifier Systems.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

An Improved Clustering Algorithm for Information Granulation.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

2004
Entropies Of Fuzzy Indiscernibility Relation And Its Operations.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2004


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