Gang Niu

According to our database1, Gang Niu authored at least 75 papers between 2008 and 2019.

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Bibliography

2019
Revisiting Sample Selection Approach to Positive-Unlabeled Learning: Turning Unlabeled Data into Positive rather than Negative.
CoRR, 2019

How does Disagreement Help Generalization against Label Corruption?
CoRR, 2019

2018
Ex Vivo and In Vivo Monitoring and Characterization of Thermal Lesions by High-Intensity Focused Ultrasound and Microwave Ablation Using Ultrasonic Nakagami Imaging.
IEEE Trans. Med. Imaging, 2018

Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities.
Neural Computation, 2018

Correction to: Semi-supervised AUC optimization based on positive-unlabeled learning.
Machine Learning, 2018

Semi-supervised AUC optimization based on positive-unlabeled learning.
Machine Learning, 2018

Learning an video frame-based face detection system for security fields.
J. Visual Communication and Image Representation, 2018

Complementary-Label Learning for Arbitrary Losses and Models.
CoRR, 2018

Classification from Positive, Unlabeled and Biased Negative Data.
CoRR, 2018

Pumpout: A Meta Approach for Robustly Training Deep Neural Networks with Noisy Labels.
CoRR, 2018

Alternate Estimation of a Classifier and the Class-Prior from Positive and Unlabeled Data.
CoRR, 2018

On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data.
CoRR, 2018

Matrix Co-completion for Multi-label Classification with Missing Features and Labels.
CoRR, 2018

Masking: A New Perspective of Noisy Supervision.
CoRR, 2018

Co-sampling: Training Robust Networks for Extremely Noisy Supervision.
CoRR, 2018

Active Feature Acquisition with Supervised Matrix Completion.
CoRR, 2018

Classification from Pairwise Similarity and Unlabeled Data.
CoRR, 2018

Binary Classification from Positive-Confidence Data.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Co-teaching: Robust training of deep neural networks with extremely noisy labels.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Masking: A New Perspective of Noisy Supervision.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Active Feature Acquisition with Supervised Matrix Completion.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

An Anomaly Detection and Fault Diagnosis Method for Multi-shaft Speed Sensors.
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018

Does Distributionally Robust Supervised Learning Give Robust Classifiers?
Proceedings of the 35th International Conference on Machine Learning, 2018

Classification from Pairwise Similarity and Unlabeled Data.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Prognostic control-enhanced maintenance optimization for multi-component systems.
Rel. Eng. & Sys. Safety, 2017

IETM centered intelligent maintenance system integrating fuzzy semantic inference and data fusion.
Microelectronics Reliability, 2017

Class-prior estimation for learning from positive and unlabeled data.
Machine Learning, 2017

Mode-Seeking Clustering and Density Ridge Estimation via Direct Estimation of Density-Derivative-Ratios.
Journal of Machine Learning Research, 2017

Binary Classification from Positive-Confidence Data.
CoRR, 2017

Estimation of Squared-Loss Mutual Information from Positive and Unlabeled Data.
CoRR, 2017

Semi-Supervised AUC Optimization based on Positive-Unlabeled Learning.
CoRR, 2017

Positive-Unlabeled Learning with Non-Negative Risk Estimator.
CoRR, 2017

Learning from Complementary Labels.
CoRR, 2017

Failure Prognostics of Locomotive Electro-Pneumatic Brake Based on Bond Graph Modeling.
IEEE Access, 2017

Positive-Unlabeled Learning with Non-Negative Risk Estimator.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning from Complementary Labels.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Semi-Supervised Classification Based on Classification from Positive and Unlabeled Data.
Proceedings of the 34th International Conference on Machine Learning, 2017

Whitening-Free Least-Squares Non-Gaussian Component Analysis.
Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016
Direct Density Derivative Estimation.
Neural Computation, 2016

Beyond the Low-density Separation Principle: A Novel Approach to Semi-supervised Learning.
CoRR, 2016

Class-prior Estimation for Learning from Positive and Unlabeled Data.
CoRR, 2016

Theoretical Comparisons of Learning from Positive-Negative, Positive-Unlabeled, and Negative-Unlabeled Data.
CoRR, 2016

Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Non-Gaussian Component Analysis with Log-Density Gradient Estimation.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Life prognostics of braking system using bond graph modeling.
Proceedings of the 2015 IEEE Conference on Prognostics and Health Management, 2015

Convex Formulation for Learning from Positive and Unlabeled Data.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Regularized Policy Gradients: Direct Variance Reduction in Policy Gradient Estimation.
Proceedings of The 7th Asian Conference on Machine Learning, 2015

Class-prior Estimation for Learning from Positive and Unlabeled Data.
Proceedings of The 7th Asian Conference on Machine Learning, 2015

2014
Semi-supervised information-maximization clustering.
Neural Networks, 2014

Information-Maximization Clustering Based on Squared-Loss Mutual Information.
Neural Computation, 2014

Information-Theoretic Semi-Supervised Metric Learning via Entropy Regularization.
Neural Computation, 2014

Transductive Learning with Multi-class Volume Approximation.
CoRR, 2014

Analysis of Learning from Positive and Unlabeled Data.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Transductive Learning with Multi-class Volume Approximation.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Maximum volume clustering: a new discriminative clustering approach.
Journal of Machine Learning Research, 2013

Semi-Supervised Information-Maximization Clustering
CoRR, 2013

Clustering Unclustered Data: Unsupervised Binary Labeling of Two Datasets Having Different Class Balances.
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2013

Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Analysis and improvement of policy gradient estimation.
Neural Networks, 2012

Information-theoretic Semi-supervised Metric Learning via Entropy Regularization
CoRR, 2012

Information-theoretic Semi-supervised Metric Learning via Entropy Regularization.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Health monitoring of electronic products based on Mahalanobis distance and Weibull decision metrics.
Microelectronics Reliability, 2011

Suffcient Component Analysis.
Proceedings of the 3rd Asian Conference on Machine Learning, 2011

Maximum Volume Clustering.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Transfer Learning via Multi-View Principal Component Analysis.
J. Comput. Sci. Technol., 2011

Analysis and Improvement of Policy Gradient Estimation.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010
Development of an optimized condition-based maintenance system by data fusion and reliability-centered maintenance.
Rel. Eng. & Sys. Safety, 2010

Intelligent condition monitoring and prognostics system based on data-fusion strategy.
Expert Syst. Appl., 2010

Machine condition prognosis based on sequential Monte Carlo method.
Expert Syst. Appl., 2010

Rough Margin Based Core Vector Machine.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Compact Margin Machine.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Bayesian Maximum Margin Clustering.
Proceedings of the ICDM 2010, 2010

2009
In vivo MRI of endogenous stem/progenitor cell migration from subventricular zone in normal and injured developing brains.
NeuroImage, 2009

Development of smart sensors system for machine fault diagnosis.
Expert Syst. Appl., 2009

2008
Decision-level fusion based on wavelet decomposition for induction motor fault diagnosis using transient current signal.
Expert Syst. Appl., 2008


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