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.
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.
Sensors, 2023

2022
Center-Aware Adversarial Autoencoder for Anomaly Detection.
IEEE Trans. Neural Networks Learn. Syst., 2022

Learning to branch with Tree-aware Branching Transformers.
Knowl. Based Syst., 2022

Material Removal Rate Prediction with Phase Sensitive Variables Selection and Phase Partition.
Proceedings of the 27th International Conference on Automation and Computing, 2022

Hybrid Gait Recognition Method Based on Phase Trajectory.
Proceedings of the 27th International Conference on Automation and Computing, 2022

2021
Deep Reinforcement Learning Based Three-Dimensional Area Coverage With UAV Swarm.
IEEE J. Sel. Areas Commun., 2021

Virtual Metrology for Semiconductor Chemical Mechanical Planarization Process Using Wide & Deep Learning.
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.
Proceedings of the 13th International Conference on Computer and Automation Engineering, 2021

Three-Dimensional Area Coverage with UAV Swarm based on Deep Reinforcement Learning.
Proceedings of the ICC 2021, 2021

End-to-End Anomaly Score Estimation for Contaminated Data via Adversarial Representation Learning.
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.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

2018
Active learning based support vector data description method for robust novelty detection.
Knowl. Based Syst., 2018

Generative adversarial network based novelty detection usingminimized reconstruction error.
Frontiers Inf. Technol. Electron. Eng., 2018

2017
Ramp Loss based robust one-class SVM.
Pattern Recognit. Lett., 2017

Cyclic scheduling of multi-cluster tools based on equivalent processing modules.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

2015
Hyperparameter Selection for Gaussian Process One-Class Classification.
IEEE Trans. Neural Networks Learn. Syst., 2015

Parameter Selection of Gaussian Kernel for One-Class SVM.
IEEE Trans. Cybern., 2015

2014
Two methods of selecting Gaussian kernel parameters for one-class SVM and their application to fault detection.
Knowl. Based Syst., 2014

A monotone interpolation method for the interpolation of ore size cumulative distribution in mineral processing industry.
Proceedings of the 10th International Conference on Natural Computation, 2014

2013
L1 norm based KPCA for novelty detection.
Pattern Recognit., 2013

2011
Consistency and error analysis of Prior-Knowledge-Based Kernel Regression.
Neurocomputing, 2011

2010
Cutting plane method for continuously constrained kernel-based regression.
IEEE Trans. Neural Networks, 2010

Manifold regularization based semisupervised semiparametric regression.
Neurocomputing, 2010

PCA based statistical process monitoring of grinding process.
Proceedings of the 8th IEEE International Conference on Control and Automation, 2010

2004
Adaptive direct torque control for induction motors with unknown resistances.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

Robust input-output decoupling control for induction motors.
Proceedings of the 2004 American Control Conference, 2004


  Loading...