Weizhong Yan

According to our database, Weizhong Yan authored at least 40 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

One Masked Model is All You Need for Sensor Fault Detection, Isolation and Accommodation.

Yiwei Fu, Weizhong Yan

CoRR, 2024

2022

Multivariate Time Series Anomaly Detection with Few Positive Samples.

Feng Xue, Weizhong Yan

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

On Adversarial Vulnerability of PHM algorithms: An Initial Study.

Weizhong Yan, Zhaoyuan Yang, Jianwei Qiu

CoRR, 2021

Flight data anomaly detection and diagnosis with variable association change.

Sijie He, Hao Huang, Shinjae Yoo, Weizhong Yan, Feng Xue, Tianyi Wang, Chenxiao Xu

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Big Data Analysis of Massive PMU Datasets: A Data Platform Perspective.

Vijay S. Kumar, Tianyi Wang, Kareem S. Aggour, Pengyuan Wang, Philip J. Hart, Weizhong Yan

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2021

Learning Associations between Features and Clusters: An Interpretable Deep Clustering Method.

Hao Huang, Feng Xue, Weizhong Yan, Tianyi Wang, Shinjae Yoo, Chenxiao Xu

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Detecting Gas Turbine Combustor Anomalies Using Semi-supervised Anomaly Detection with Deep Representation Learning.

Weizhong Yan

Cogn. Comput., 2020

Adversarial Vulnerability in Doppler-based Human Activity Recognition.

Zhaoyuan Yang, Yang Zhao, Weizhong Yan

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Comparison of GANs-Based Approaches for Combustor System Fault Detection.

Rui Xu, Weizhong Yan

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Imbalanced Time Series Classification for Flight Data Analyzing with Nonlinear Granger Causality Learning.

Hao Huang, Chenxiao Xu, Shinjae Yoo, Weizhong Yan, Tianyi Wang, Feng Xue

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Attack Detection for Securing Cyber Physical Systems.

Weizhong Yan, Lalit K. Mestha, Masoud Abbaszadeh

IEEE Internet Things J., 2019

On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach.

Weizhong Yan, Lijie Yu

CoRR, 2019

Rotman Lens-Fed Fabry-Perot Resonator Antennas for Generating Converged Multi-Mode OAM Beams.

Xudong Bai, Anjie Cao, Fanwei Kong, Jingyi Qian, Shengyang Xu, Weizhong Yan, Chong He, Xianling Liang, Ronghong Jin, Weiren Zhu

IEEE Access, 2019

Continuous Modeling of Power Plant Performance with Regularized Extreme Learning Machine.

Rui Xu, Weizhong Yan

Proceedings of the International Joint Conference on Neural Networks, 2019

Physical Activity Recognition Using Multi-Sensor Fusion and Extreme Learning Machines.

Honggang Wang, Weizhong Yan, Shaopeng Liu

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Forecasting and Early Warning for Adversarial Targeting in Industrial Control Systems.

Masoud Abbaszadeh, Lalit K. Mestha, Weizhong Yan

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Towards Intelligent Interpretation of Low Strain Pile Integrity Testing Results Using Machine Learning Techniques.

De-Mi Cui, Weizhong Yan, Xiao-Quan Wang, Lie-Min Lu

Sensors, 2017

Concept drift learning with alternating learners.

Yunwen Xu, Rui Xu, Weizhong Yan, Paul Ardis

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Power plant performance modeling with concept drift.

Yunwen Xu, Rui Xu, Weizhong Yan

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Time series classification from scratch with deep neural networks: A strong baseline.

Zhiguang Wang, Weizhong Yan, Tim Oates

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Concrete Condition Assessment Using Impact-Echo Method and Extreme Learning Machines.

Jing-Kui Zhang, Weizhong Yan, De-Mi Cui

Sensors, 2016

One-class extreme learning machines for gas turbine combustor anomaly detection.

Weizhong Yan

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2013

<i>p</i>-PIC: Parallel power iteration clustering for big data.

Weizhong Yan, Umang Brahmakshatriya, Ya Xue, Mark Gilder, G. Bowden Wise

J. Parallel Distributed Comput., 2013

2012

Toward Automatic Time-Series Forecasting Using Neural Networks.

Weizhong Yan

IEEE Trans. Neural Networks Learn. Syst., 2012

2010

Learning mixtures of experts with a hybrid generative-discriminative algorithm.

Ya Xue, Xiao Hu, Weizhong Yan, Hai Qiu

Proceedings of the International Joint Conference on Neural Networks, 2010

Time receiver operating characteristic (tROC) curves: A new tool for evaluating the performance of diagnostic systems.

Ya Xue, Neil H. W. Eklund, Xiao Hu, Weizhong Yan

Proceedings of the International Joint Conference on Neural Networks, 2010

Uncertainty with the Gamma Test for model input data selection.

Dawei Han, Weizhong Yan, Ali Moghaddam Nia

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

Gaussian process for long-term time-series forecasting.

Weizhong Yan, Hai Qiu, Ya Xue

Proceedings of the International Joint Conference on Neural Networks, 2009

Validation of the Gamma Test for Model Input Data Selection - with a Case Study in Evaporation Estimation.

Dawei Han, Weizhong Yan

Proceedings of the Fifth International Conference on Natural Computation, 2009

2008

Correcting Sensor Drift and Intermittency Faults With Data Fusion and Automated Learning.

Kai Goebel, Weizhong Yan

IEEE Syst. J., 2008

Jet engine gas path fault diagnosis using dynamic fusion of multiple classifiers.

Weizhong Yan, Feng Xue

Proceedings of the International Joint Conference on Neural Networks, 2008

Anomaly detection using data clustering and neural networks.

Hai Qiu, Neil H. W. Eklund, Xiao Hu, Weizhong Yan, Naresh Iyer

Proceedings of the International Joint Conference on Neural Networks, 2008

2007

Parametric model-based anomaly detection for locomotive subsystems.

Feng Xue, Weizhong Yan

Proceedings of the International Joint Conference on Neural Networks, 2007

Fusion in multi-criterion feature ranking.

Weizhong Yan

Proceedings of the 10th International Conference on Information Fusion, 2007

Improving Classifier Fusion Using Particle Swarm Optimization.

Kalyan Veeramachaneni, Weizhong Yan, Kai Goebel, Lisa Ann Osadciw

Proceedings of the IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, 2007

A Review of Two Industrial Deployments of Multi-criteria Decision-making Systems at General Electric.

Raj Subbu, Piero P. Bonissone, Srinivas Bollapragada, Kete Charles Chalermkraivuth, Neil H. W. Eklund, Naresh Iyer, Rasik Shah, Feng Xue, Weizhong Yan

Proceedings of the IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, 2007

2006

Operational Data Based Anomaly Detection for Locomotive Diagnostics.

Feng Xue, Weizhong Yan, Nicholas Roddy, Anil Varma

Proceedings of the 2006 International Conference on Machine Learning; Models, 2006

Designing a Neural Network Decision System for Automated Insurance Underwriting.

Weizhong Yan, Piero P. Bonissone

Proceedings of the International Joint Conference on Neural Networks, 2006

2004

A theoretical study of solvent effects on tautomerism and electronic absorption spectra of 3-hydroxy-2-mercaptopyridine and 2, 3-dihydroxypyridine.

Weizhong Yan, Ying Xue, Hua Zhu, Jun Zeng, Daiqian Xie

J. Comput. Chem., 2004

Classifier Fusion Using Triangular Norms.

Piero P. Bonissone, Kai Goebel, Weizhong Yan

Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004