Huangang Wang

发表

Fault Detection Based on Multi-local SVDD with Generalized Additive Kernels

Xu Wang, Huangang Wang, Daoming Li, 2019 .

Adaptive direct torque control for induction motors with unknown resistances

Huangang Wang, Wenli Xu, Teilong Shen, 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).

Multimode process monitoring using prototype-based Gaussian mixture model

Huangang Wang, Zhibo Xiao, Ma Yao, 2015, The 27th Chinese Control and Decision Conference (2015 CCDC).

Discrete-time quasi-sliding mode control for input constrained systems

Huangang Wang, Wenli Xu, 2004, Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788).

Combining Active Learning and Fisher Discriminant Analysis for the Semi-supervised Process Monitoring

Lili Yin, Gang Yu, Wenhui Fan, 2018 .

Novelty Detection for Multimode Process Using GANs with Learning Disentangled Representation

Huangang Wang, Daoming Li, Junwu Zhou, 2020, 2020 Chinese Control And Decision Conference (CCDC).

Parameter Selection of Gaussian Kernel for One-Class SVM

Huangang Wang, Wenli Xu, Yingchao Xiao, 2015, IEEE Transactions on Cybernetics.

One-Class Support Vector Machine for Functional Data Novelty Detection

Huangang Wang, Ma Yao, Huangang Wang, 2012, 2012 Third Global Congress on Intelligent Systems.

Incremental PCA based online model updating for multivariate process monitoring

Huangang Wang, Wenli Xu, Yingchao Xiao, 2012, Proceedings of the 10th World Congress on Intelligent Control and Automation.

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

Huangang Wang, Tianpeng Bao, 2017, 2017 13th IEEE Conference on Automation Science and Engineering (CASE).

L1 norm based KPCA for novelty detection

Huangang Wang, Junwu Zhou, Wenli Xu, 2013, Pattern Recognit..

Robust one-class SVM for fault detection

Huangang Wang, Junwu Zhou, Wenli Xu, 2016 .

Joint Sparse Principal Component Analysis Based Roust Sparse Fault Detection

Huangang Wang, Tao Zhang, Wenlan Jiang, 2020, 2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS).

Nonlinear Model Based Control with prior knowledge Based Learning

Huangang Wang, Zengke Zhang, Zhe Sun, 2009, 2009 7th Asian Control Conference.

Manifold regularization based semisupervised semiparametric regression

Zhe Sun, Huangang Wang, Zengke Zhang, 2010, Neurocomputing.

Cutting Plane Method for Continuously Constrained Kernel-Based Regression

Zhe Sun, Min Jiang, Huangang Wang, 2010, IEEE Transactions on Neural Networks.

A new torque direct control scheme of induction machines and its DSP-based implementation

Geng Yang, Huangang Wang, Wenli Xu, 2004, The 4th International Power Electronics and Motion Control Conference, 2004. IPEMC 2004..

An Improved Genetic Algorithm for Pot Tending Machine Scheduling

Bin Cao, Huangang Wang, Haowei Wang, 2020, 2020 International Workshop on Electronic Communication and Artificial Intelligence (IWECAI).

Active Learning Based Support Vector Data Description for Large Data Set Novelty Detection

Lili Yin, Huangang Wang, Wenhui Fan, 2017 .

Cyclic Scheduling of Multi-Cluster Tools Based on Mixed Integer Programming

Huangang Wang, Tianpeng Bao, 2017, IEEE Transactions on Semiconductor Manufacturing.

The active leaning-based nearest neighbor mean distance novelty detection for large data set

Wenhui Fan, Huangang Wang, Lili Yin, 2017, 2017 IEEE 2nd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA).

PCA based statistical process monitoring of grinding process

Rui Wang, Lin Zhang, Huangang Wang, 2010, IEEE ICCA 2010.

A Deep Reinforcement Learning Approach to the Flexible Flowshop Scheduling Problem with Makespan Minimization

Huangang Wang, Tao Zhang, Jialin Zhu, 2020, 2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS).

A Novel Semi-Supervised Probabilistic Model of Fisher Discriminant Analysis for Data-Driven Fault Classification and Detection

Dexian Huang, Chao Shang, Huangang Wang, 2020, 2020 2nd International Conference on Industrial Artificial Intelligence (IAI).

Soft sensing of overflow particle size distributions in hydrocyclones using a combined method

Huangang Wang, Zengke Zhang, Zhe Sun, 2008 .

Robust input-output decoupling control for induction motors

Huangang Wang, Wenli Xu, Teilong Shen, 2004, Proceedings of the 2004 American Control Conference.

Noncyclic Scheduling of Multi-Cluster Tools With Residency Constraints Based on Pareto Optimization

Qinghua Tao, Wenhui Fan, Huangang Wang, 2020, IEEE Transactions on Semiconductor Manufacturing.

An Efficient Method for Boundary Points Detection Based on Data Expression

Tao Zhang, Huangang Wang, Lingyun Yang, 2019, 2019 Chinese Control Conference (CCC).

OES structural feature based fault detection method for plasma etching

Huangang Wang, Wenli Xu, Lihui Zhao, 2012, 2012 International Conference on Systems and Informatics (ICSAI2012).

Ramp Loss based robust one-class SVM

Huangang Wang, Wenli Xu, Yingchao Xiao, 2017, Pattern Recognit. Lett..

Incorporate active learning to semi-supervised industrial fault classification

Lili Yin, Wenhui Fan, Huangang Wang, 2019, Journal of Process Control.

Batch process monitoring based on functional data analysis and support vector data description

Xu Wenli, Huangang Wang, Ma Yao, 2014 .

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

Lili Yin, Wenhui Fan, Huangang Wang, 2018, Knowl. Based Syst..

Hyperparameter Selection for Gaussian Process One-Class Classification

Huangang Wang, Wenli Xu, Yingchao Xiao, 2015, IEEE Transactions on Neural Networks and Learning Systems.

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

Lin Zhang, Huangang Wang, Wenli Xu, 2014, Knowl. Based Syst..

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

Zheng Wang, Huangang Wang, Junwu Zhou, 2014, 2014 10th International Conference on Natural Computation (ICNC).