Huangang Wang

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024

CAMBranch: Contrastive Learning with Augmented MILPs for Branching.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Semi-Supervised Deep Kernel Active Learning for Material Removal Rate Prediction in Chemical Mechanical Planarization.

[BibT_eX]

[DOI]

Sensors, 2023

2022

Center-Aware Adversarial Autoencoder for Anomaly Detection.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Learning to branch with Tree-aware Branching Transformers.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Material Removal Rate Prediction with Phase Sensitive Variables Selection and Phase Partition.

[BibT_eX]

[DOI]

Chunpu Lv

Tao Zhang

Huangang Wang

Proceedings of the 27th International Conference on Automation and Computing, 2022

Hybrid Gait Recognition Method Based on Phase Trajectory.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Automation and Computing, 2022

2021

Deep Reinforcement Learning Based Three-Dimensional Area Coverage With UAV Swarm.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2021

Virtual Metrology for Semiconductor Chemical Mechanical Planarization Process Using Wide & Deep Learning.

[BibT_eX]

[DOI]

Fuzuo Zhang

Wenlan Jiang

Huan-gang Wang

Proceedings of the ICCPR '21: 10th International Conference on Computing and Pattern Recognition, Shanghai, China, October 15, 2021

Noncyclic Scheduling of Multi-cluster Tools with Multi-type Wafers Based on Pareto Optimization.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Computer and Automation Engineering, 2021

Three-Dimensional Area Coverage with UAV Swarm based on Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the ICC 2021, 2021

End-to-End Anomaly Score Estimation for Contaminated Data via Adversarial Representation Learning.

[BibT_eX]

[DOI]

Daoming Li

Jiahao Liu

Huan-gang Wang

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

Phase Partition Based Virtual Metrology for Material Removal Rate Prediction in Chemical Mechanical Planarization Process.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

2018

Active learning based support vector data description method for robust novelty detection.

[BibT_eX]

[DOI]

Lili Yin

Huangang Wang

Wenhui Fan

Knowl. Based Syst., 2018

Generative adversarial network based novelty detection usingminimized reconstruction error.

[BibT_eX]

[DOI]

Huan-gang Wang

Xin Li

Tao Zhang

Frontiers Inf. Technol. Electron. Eng., 2018

2017

Ramp Loss based robust one-class SVM.

[BibT_eX]

[DOI]

Yingchao Xiao

Huangang Wang

Wenli Xu

Pattern Recognit. Lett., 2017

Cyclic scheduling of multi-cluster tools based on equivalent processing modules.

[BibT_eX]

[DOI]

Tianpeng Bao

Huangang Wang

Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

2015

Hyperparameter Selection for Gaussian Process One-Class Classification.

[BibT_eX]

[DOI]

Yingchao Xiao

Huangang Wang

Wenli Xu

IEEE Trans. Neural Networks Learn. Syst., 2015

Parameter Selection of Gaussian Kernel for One-Class SVM.

[BibT_eX]

[DOI]

Yingchao Xiao

Huangang Wang

Wenli Xu

IEEE Trans. Cybern., 2015

2014

Two methods of selecting Gaussian kernel parameters for one-class SVM and their application to fault detection.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2014

A monotone interpolation method for the interpolation of ore size cumulative distribution in mineral processing industry.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Natural Computation, 2014

2013

L1 norm based KPCA for novelty detection.

[BibT_eX]

[DOI]

Pattern Recognit., 2013

2011

Consistency and error analysis of Prior-Knowledge-Based Kernel Regression.

[BibT_eX]

[DOI]

Zhe Sun

Zengke Zhang

Huangang Wang

Neurocomputing, 2011

2010

Cutting plane method for continuously constrained kernel-based regression.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2010

Manifold regularization based semisupervised semiparametric regression.

[BibT_eX]

[DOI]

Zhe Sun

Zengke Zhang

Huangang Wang

Neurocomputing, 2010

PCA based statistical process monitoring of grinding process.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Control and Automation, 2010

2004

Adaptive direct torque control for induction motors with unknown resistances.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

Robust input-output decoupling control for induction motors.

[BibT_eX]

[DOI]

Proceedings of the 2004 American Control Conference, 2004

Huangang Wang

Bibliography

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