Kaizhu Huang

According to our database1, Kaizhu Huang authored at least 110 papers between 2003 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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On csauthors.net:

Bibliography

2019
Guided Policy Search for Sequential Multitask Learning.
IEEE Trans. Systems, Man, and Cybernetics: Systems, 2019

Stochastic Conjugate Gradient Algorithm With Variance Reduction.
IEEE Trans. Neural Netw. Learning Syst., 2019

IAN: The Individual Aggregation Network for Person Search.
Pattern Recognition, 2019

Cross-modality interactive attention network for multispectral pedestrian detection.
Information Fusion, 2019

Special issue on advances in graph algorithm and applications.
Neurocomputing, 2019

Joint Multi-Label Attention Networks for Social Text Annotation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Mining human activity and smartphone position from motion sensors.
Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion, 2019

2018
Zero-Shot Learning via Attribute Regression and Class Prototype Rectification.
IEEE Trans. Image Processing, 2018

Learning Latent Features With Infinite Nonnegative Binary Matrix Trifactorization.
IEEE Trans. Emerging Topics in Comput. Intellig., 2018

Banzhaf random forests: Cooperative game theory based random forests with consistency.
Neural Networks, 2018

Approximately optimizing NDCG using pair-wise loss.
Inf. Sci., 2018

A new two-layer mixture of factor analyzers with joint factor loading model for the classification of small dataset problems.
Neurocomputing, 2018

Siamese network ensemble for visual tracking.
Neurocomputing, 2018

Three-Dimensional Local Energy-Based Shape Histogram (3D-LESH): A Novel Feature Extraction Technique.
Expert Syst. Appl., 2018

Reducing and Stretching Deep Convolutional Activation Features for Accurate Image Classification.
Cognitive Computation, 2018

Learning from Few Samples with Memory Network.
Cognitive Computation, 2018

Accelerating Infinite Ensemble of Clustering by Pivot Features.
Cognitive Computation, 2018

Special Issue Editorial: Cognitively-Inspired Computing for Knowledge Discovery.
Cognitive Computation, 2018

Improving Deep Neural Network Performance with Kernelized Min-Max Objective.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural Networks.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Style Neutralization Generative Adversarial Classifier.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018

2017
Novel Field-Support Vector Regression-Based Soft Sensor for Accurate Estimation of Solar Irradiance.
IEEE Trans. on Circuits and Systems, 2017

Joint Learning of Unsupervised Dimensionality Reduction and Gaussian Mixture Model.
Neural Processing Letters, 2017

Customer churn prediction in the telecommunication sector using a rough set approach.
Neurocomputing, 2017

Field support vector machines.
Proceedings of the 1st International Conference on Internet of Things and Machine Learning, 2017

Improve Deep Learning with Unsupervised Objective.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Deep Mixtures of Factor Analyzers with Common Loadings: A Novel Deep Generative Approach to Clustering.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Field Support Vector Regression.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Integrated Discovery of Location Prediction Rules in Mobile Environment.
Proceedings of the 15th IEEE Intl Conf on Dependable, 2017

2016
A fast projected fixed-point algorithm for large graph matching.
Pattern Recognition, 2016

Multicores and GPU utilization in parallel swarm algorithm for parameter estimation of photovoltaic cell model.
Appl. Soft Comput., 2016

Statistical Entity Ranking with Domain Knowledge.
Proceedings of the Natural Language Understanding and Intelligent Applications, 2016

Learning from Few Samples with Memory Network.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Learning Latent Features with Infinite Non-negative Binary Matrix Tri-factorization.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

An Investigation of Machine Learning and Neural Computation Paradigms in the Design of Clinical Decision Support Systems (CDSSs).
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2016

Lung cancer detection using Local Energy-based Shape Histogram (LESH) feature extraction and cognitive machine learning techniques.
Proceedings of the 15th IEEE International Conference on Cognitive Informatics & Cognitive Computing , 2016

2015
Hybrid Metaheuristic Algorithms: Past, Present, and Future.
Proceedings of the Recent Advances in Swarm Intelligence and Evolutionary Computation, 2015

MTC: A Fast and Robust Graph-Based Transductive Learning Method.
IEEE Trans. Neural Netw. Learning Syst., 2015

Learning Imbalanced Classifiers Locally and Globally with One-Side Probability Machine.
Neural Processing Letters, 2015

Maximum margin semi-supervised learning with irrelevant data.
Neural Networks, 2015

DE2: Dynamic ensemble of ensembles for learning nonstationary data.
Neurocomputing, 2015

WSDM'15 Workshop Summary / Scalable Data Analytics: Theory and Applications.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Two-layer Mixture of Factor Analyzers with Joint Factor Loading.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Is DeCAF Good Enough for Accurate Image Classification?
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

A Unified Gradient Regularization Family for Adversarial Examples.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014
Learning Locality Preserving Graph from Data.
IEEE Trans. Cybernetics, 2014

Combination of Classification and Clustering Results with Label Propagation.
IEEE Signal Process. Lett., 2014

Robust Text Detection in Natural Scene Images.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Convex ensemble learning with sparsity and diversity.
Information Fusion, 2014

A novel classifier ensemble method with sparsity and diversity.
Neurocomputing, 2014

Graphical lasso quadratic discriminant function and its application to character recognition.
Neurocomputing, 2014

A Novel Hybrid Approach for Combining Deep and Traditional Neural Networks.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Text Categorization with Diversity Random Forests.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Unsupervised Dimensionality Reduction for Gaussian Mixture Model.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013
A multi-task framework for metric learning with common subspace.
Neural Computing and Applications, 2013

Accurate and robust text detection: a step-in for text retrieval in natural scene images.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Fast kNN Graph Construction with Locality Sensitive Hashing.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

One-Side Probability Machine: Learning Imbalanced Classifiers Locally and Globally.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Dynamic Ensemble of Ensembles in Nonstationary Environments.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Feature Transformation with Class Conditional Decorrelation.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Efficient clinical decision making by learning from missing clinical data.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Healthcare and e-health, 2013

2012
Maxi-Min discriminant analysis via online learning.
Neural Networks, 2012

Joint learning of error-correcting output codes and dichotomizers from data.
Neural Computing and Applications, 2012

Geometry Preserving Multi-task Metric Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Classifier Ensemble Using a Heuristic Learning with Sparsity and Diversity.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Manifold Regularized Multi-Task Learning.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Multiple Outlooks Learning with Support Vector Machines.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011
m-SNE: Multiview Stochastic Neighbor Embedding.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2011

FMI image based rock structure classification using classifier combination.
Neural Computing and Applications, 2011

Exchange rate prediction with non-numerical information.
Neural Computing and Applications, 2011

Generalized sparse metric learning with relative comparisons.
Knowl. Inf. Syst., 2011

Pattern Field Classification with Style Normalized Transformation.
Proceedings of the IJCAI 2011, 2011

Multi-Task Low-Rank Metric Learning Based on Common Subspace.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Graphical Lasso Quadratic Discriminant Function for Character Recognition.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Low Rank Metric Learning with Manifold Regularization.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Fast and Robust Graph-based Transductive Learning via Minimum Tree Cut.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010
Sparse learning for support vector classification.
Pattern Recognition Letters, 2010

Robust Metric Learning by Smooth Optimization.
Proceedings of the UAI 2010, 2010

Dimensionality Reduction by Minimal Distance Maximization.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Learning ECOC and Dichotomizers Jointly from Data.
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

Ellipse Detection with an Improved Randomized Hough Transform for Intellectual Phacoemulsification Surgery Systems.
Proceedings of the International Conference on Image Processing, 2010

Similar Handwritten Chinese Characters Recognition by Critical Region Selection Based on Average Symmetric Uncertainty.
Proceedings of the International Conference on Frontiers in Handwriting Recognition, 2010

2009
A novel kernel-based maximum a posteriori classification method.
Neural Networks, 2009

Arbitrary Norm Support Vector Machines.
Neural Computation, 2009

Localized support vector regression for time series prediction.
Neurocomputing, 2009

Enhanced protein fold recognition through a novel data integration approach.
BMC Bioinformatics, 2009

Sparse Metric Learning via Smooth Optimization.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data.
Proceedings of the International Joint Conference on Neural Networks, 2009

A Rock Structure Recognition System Using FMI Images.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

Exchange Rate Forecasting Using Classifier Ensemble.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

GSML: A Unified Framework for Sparse Metric Learning.
Proceedings of the ICDM 2009, 2009

2008
Maxi-Min Margin Machine: Learning Large Margin Classifiers Locally and Globally.
IEEE Trans. Neural Networks, 2008

Efficient Minimax Clustering Probability Machine by Generalized Probability Product Kernel.
Proceedings of the International Joint Conference on Neural Networks, 2008

Semi-supervised Learning from General Unlabeled Data.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Direct Zero-Norm Optimization for Feature Selection.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Semi-supervised text categorization by active search.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

A Scenario-View Based Approach to Analyze External Behavior of Web Services for Supporting Mediated Service Interactions.
Proceedings of the 2008 IEEE International Conference on Services Computing (SCC 2008), 2008

2007
Kernel Maximum a Posteriori Classification with Error Bound Analysis.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

Degraded Character Recognition by Complementary Classifiers Combination.
Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR 2007), 2007

An SVM-Based High-accurate Recognition Approach for Handwritten Numerals by Using Difference Features.
Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR 2007), 2007

2006
Maximizing sensitivity in medical diagnosis using biased minimax probability Machine.
IEEE Trans. Biomed. Engineering, 2006

Local Support Vector Regression for Financial Time Series Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2006

A Hybrid Handwritten Chinese Address Recognition Approach.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

2004
Learning from data locally and globally.
PhD thesis, 2004

The Minimum Error Minimax Probability Machine.
Journal of Machine Learning Research, 2004

Biased Minimax Probability Machine for Medical Diagnosis.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2004

Outliers Treatment in Support Vector Regression for Financial Time Series Prediction.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

Learning large margin classifiers locally and globally.
Proceedings of the Machine Learning, 2004

Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003
Finite Mixture Model of Bounded Semi-naive Bayesian Networks Classifier.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003


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