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Weizhong Yan
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2020 – today
- 2024
- [i7]Yiwei Fu, Weizhong Yan:
One Masked Model is All You Need for Sensor Fault Detection, Isolation and Accommodation. CoRR abs/2403.16153 (2024) - 2022
- [c28]Feng Xue, Weizhong Yan:
Multivariate Time Series Anomaly Detection with Few Positive Samples. IJCNN 2022: 1-7 - [i6]Feng Xue, Weizhong Yan:
Multivariate Time Series Anomaly Detection with Few Positive Samples. CoRR abs/2207.00705 (2022) - 2021
- [c27]Hao Huang, Feng Xue, Weizhong Yan, Tianyi Wang, Shinjae Yoo
, Chenxiao Xu:
Learning Associations between Features and Clusters: An Interpretable Deep Clustering Method. IJCNN 2021: 1-10 - [c26]Vijay S. Kumar, Tianyi Wang, Kareem S. Aggour
, Pengyuan Wang, Philip J. Hart, Weizhong Yan:
Big Data Analysis of Massive PMU Datasets: A Data Platform Perspective. ISGT 2021: 1-5 - [c25]Sijie He, Hao Huang, Shinjae Yoo
, Weizhong Yan, Feng Xue, Tianyi Wang, Chenxiao Xu:
Flight data anomaly detection and diagnosis with variable association change. SAC 2021: 346-354 - [i5]Weizhong Yan, Zhaoyuan Yang, Jianwei Qiu:
On Adversarial Vulnerability of PHM algorithms: An Initial Study. CoRR abs/2110.07462 (2021) - 2020
- [j9]Weizhong Yan
:
Detecting Gas Turbine Combustor Anomalies Using Semi-supervised Anomaly Detection with Deep Representation Learning. Cogn. Comput. 12(2): 398-411 (2020) - [c24]Hao Huang, Chenxiao Xu, Shinjae Yoo
, Weizhong Yan, Tianyi Wang, Feng Xue:
Imbalanced Time Series Classification for Flight Data Analyzing with Nonlinear Granger Causality Learning. CIKM 2020: 2533-2540 - [c23]Rui Xu, Weizhong Yan:
A Comparison of GANs-Based Approaches for Combustor System Fault Detection. IJCNN 2020: 1-8 - [c22]Zhaoyuan Yang, Yang Zhao, Weizhong Yan:
Adversarial Vulnerability in Doppler-based Human Activity Recognition. IJCNN 2020: 1-7
2010 – 2019
- 2019
- [j8]Xudong Bai
, Anjie Cao, Fanwei Kong, Jingyi Qian, Shengyang Xu, Weizhong Yan, Chong He
, Xianling Liang, Ronghong Jin, Weiren Zhu
:
Rotman Lens-Fed Fabry-Perot Resonator Antennas for Generating Converged Multi-Mode OAM Beams. IEEE Access 7: 105768-105775 (2019) - [j7]Weizhong Yan
, Lalit K. Mestha, Masoud Abbaszadeh
:
Attack Detection for Securing Cyber Physical Systems. IEEE Internet Things J. 6(5): 8471-8481 (2019) - [c21]Honggang Wang, Weizhong Yan, Shaopeng Liu:
Physical Activity Recognition Using Multi-Sensor Fusion and Extreme Learning Machines. IJCNN 2019: 1-7 - [c20]Rui Xu, Weizhong Yan:
Continuous Modeling of Power Plant Performance with Regularized Extreme Learning Machine. IJCNN 2019: 1-8 - [i4]Weizhong Yan, Lijie Yu:
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach. CoRR abs/1908.09238 (2019) - 2018
- [c19]Masoud Abbaszadeh, Lalit K. Mestha, Weizhong Yan:
Forecasting and Early Warning for Adversarial Targeting in Industrial Control Systems. CDC 2018: 7200-7205 - 2017
- [j6]De-Mi Cui, Weizhong Yan
, Xiao-Quan Wang, Lie-Min Lu:
Towards Intelligent Interpretation of Low Strain Pile Integrity Testing Results Using Machine Learning Techniques. Sensors 17(11): 2443 (2017) - [c18]Zhiguang Wang, Weizhong Yan, Tim Oates:
Time series classification from scratch with deep neural networks: A strong baseline. IJCNN 2017: 1578-1585 - [c17]Yunwen Xu, Rui Xu, Weizhong Yan:
Power plant performance modeling with concept drift. IJCNN 2017: 2096-2103 - [c16]Yunwen Xu, Rui Xu, Weizhong Yan, Paul Ardis:
Concept drift learning with alternating learners. IJCNN 2017: 2104-2111 - [i3]Yunwen Xu, Rui Xu, Weizhong Yan, Paul Ardis:
Concept Drift Learning with Alternating Learners. CoRR abs/1710.06940 (2017) - [i2]Rui Xu, Yunwen Xu, Weizhong Yan:
Power Plant Performance Modeling with Concept Drift. CoRR abs/1710.07314 (2017) - 2016
- [j5]Jing-Kui Zhang, Weizhong Yan
, De-Mi Cui:
Concrete Condition Assessment Using Impact-Echo Method and Extreme Learning Machines. Sensors 16(4): 447 (2016) - [c15]Weizhong Yan:
One-class extreme learning machines for gas turbine combustor anomaly detection. IJCNN 2016: 2909-2914 - [i1]Zhiguang Wang, Weizhong Yan, Tim Oates:
Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline. CoRR abs/1611.06455 (2016) - 2013
- [j4]Weizhong Yan, Umang Brahmakshatriya, Ya Xue, Mark Gilder, G. Bowden Wise:
p-PIC: Parallel power iteration clustering for big data. J. Parallel Distributed Comput. 73(3): 352-359 (2013) - 2012
- [j3]Weizhong Yan:
Toward Automatic Time-Series Forecasting Using Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 23(7): 1028-1039 (2012) - 2010
- [c14]Dawei Han, Weizhong Yan, Ali Moghaddam Nia
:
Uncertainty with the Gamma Test for model input data selection. IJCNN 2010: 1-5 - [c13]Ya Xue, Neil H. W. Eklund, Xiao Hu, Weizhong Yan:
Time receiver operating characteristic (tROC) curves: A new tool for evaluating the performance of diagnostic systems. IJCNN 2010: 1-7 - [c12]Ya Xue, Xiao Hu, Weizhong Yan, Hai Qiu:
Learning mixtures of experts with a hybrid generative-discriminative algorithm. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [c11]Dawei Han, Weizhong Yan:
Validation of the Gamma Test for Model Input Data Selection - with a Case Study in Evaporation Estimation. ICNC (2) 2009: 469-473 - [c10]Weizhong Yan, Hai Qiu, Ya Xue:
Gaussian process for long-term time-series forecasting. IJCNN 2009: 3420-3427 - 2008
- [j2]Kai Goebel, Weizhong Yan:
Correcting Sensor Drift and Intermittency Faults With Data Fusion and Automated Learning. IEEE Syst. J. 2(2): 189-197 (2008) - [c9]Weizhong Yan, Feng Xue:
Jet engine gas path fault diagnosis using dynamic fusion of multiple classifiers. IJCNN 2008: 1585-1591 - [c8]Hai Qiu, Neil H. W. Eklund, Xiao Hu, Weizhong Yan, Naresh Iyer:
Anomaly detection using data clustering and neural networks. IJCNN 2008: 3627-3633 - 2007
- [c7]Kalyan Veeramachaneni, Weizhong Yan, Kai Goebel, Lisa Ann Osadciw:
Improving Classifier Fusion Using Particle Swarm Optimization. MCDM 2007: 128-135 - [c6]Raj Subbu, Piero P. Bonissone
, Srinivas Bollapragada, Kete Charles Chalermkraivuth, Neil H. W. Eklund, Naresh Iyer, Rasik Shah, Feng Xue, Weizhong Yan:
A Review of Two Industrial Deployments of Multi-criteria Decision-making Systems at General Electric. MCDM 2007: 136-145 - [c5]Weizhong Yan:
Fusion in multi-criterion feature ranking. FUSION 2007: 1-6 - [c4]Feng Xue, Weizhong Yan:
Parametric model-based anomaly detection for locomotive subsystems. IJCNN 2007: 3074-3079 - 2006
- [c3]Weizhong Yan, Piero P. Bonissone:
Designing a Neural Network Decision System for Automated Insurance Underwriting. IJCNN 2006: 2106-2113 - [c2]Feng Xue, Weizhong Yan, Nicholas Roddy, Anil Varma:
Operational Data Based Anomaly Detection for Locomotive Diagnostics. MLMTA 2006: 236-241 - 2004
- [j1]Weizhong Yan, Ying Xue
, Hua Zhu, Jun Zeng
, Daiqian Xie:
A theoretical study of solvent effects on tautomerism and electronic absorption spectra of 3-hydroxy-2-mercaptopyridine and 2, 3-dihydroxypyridine. J. Comput. Chem. 25(15): 1833-1839 (2004) - [c1]Piero P. Bonissone
, Kai Goebel, Weizhong Yan:
Classifier Fusion Using Triangular Norms. Multiple Classifier Systems 2004: 154-163
Coauthor Index
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