Classifier Fusion Using Triangular Norms. - Piero P. Bonissone; Kai Goebel; Weizhong Yan (Multiple Classifier Systems, 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 001; Hua Zhu; Jun Zeng; Daiqian Xie (J. Comput. Chem., 2004)

Designing a Neural Network Decision System for Automated Insurance Underwriting. - Weizhong Yan; Piero P. Bonissone (IJCNN, 2006)

Operational Data Based Anomaly Detection for Locomotive Diagnostics. - Feng Xue 003; Weizhong Yan; Nicholas Roddy; Anil Varma (MLMTA, 2006)

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 003; Weizhong Yan (MCDM, 2007)

Improving Classifier Fusion Using Particle Swarm Optimization. - Kalyan Veeramachaneni; Weizhong Yan; Kai Goebel; Lisa Ann Osadciw (MCDM, 2007)

Fusion in multi-criterion feature ranking. - Weizhong Yan (FUSION, 2007)

Parametric model-based anomaly detection for locomotive subsystems. - Feng Xue 003; Weizhong Yan (IJCNN, 2007)

Anomaly detection using data clustering and neural networks. - Hai Qiu; Neil H. W. Eklund; Xiao Hu; Weizhong Yan; Naresh Iyer (IJCNN, 2008)

Jet engine gas path fault diagnosis using dynamic fusion of multiple classifiers. - Weizhong Yan; Feng Xue 003 (IJCNN, 2008)

Correcting Sensor Drift and Intermittency Faults With Data Fusion and Automated Learning. - Kai Goebel; Weizhong Yan (IEEE Syst. J., 2008)

Validation of the Gamma Test for Model Input Data Selection - with a Case Study in Evaporation Estimation. - Dawei Han; Weizhong Yan (ICNC (2), 2009)

Gaussian process for long-term time-series forecasting. - Weizhong Yan; Hai Qiu; Ya Xue (IJCNN, 2009)

Uncertainty with the Gamma Test for model input data selection. - Dawei Han; Weizhong Yan; Ali Moghaddam Nia (IJCNN, 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 (IJCNN, 2010)

Learning mixtures of experts with a hybrid generative-discriminative algorithm. - Ya Xue; Xiao Hu; Weizhong Yan; Hai Qiu (IJCNN, 2010)

Toward Automatic Time-Series Forecasting Using Neural Networks. - Weizhong Yan (IEEE Trans. Neural Networks Learn. Syst., 2012)

p-PIC: Parallel power iteration clustering for big data. - Weizhong Yan; Umang Brahmakshatriya; Ya Xue; Mark Gilder; G. Bowden Wise (J. Parallel Distributed Comput., 2013)

One-class extreme learning machines for gas turbine combustor anomaly detection. - Weizhong Yan (IJCNN, 2016)

Concrete Condition Assessment Using Impact-Echo Method and Extreme Learning Machines. - Jing-Kui Zhang; Weizhong Yan; De-Mi Cui (Sensors, 2016)

Time series classification from scratch with deep neural networks: A strong baseline. - Zhiguang Wang; Weizhong Yan; Tim Oates 001 (IJCNN, 2017)

Power plant performance modeling with concept drift. - Yunwen Xu; Rui Xu; Weizhong Yan (IJCNN, 2017)

Concept drift learning with alternating learners. - Yunwen Xu; Rui Xu; Weizhong Yan; Paul Ardis (IJCNN, 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)

Forecasting and Early Warning for Adversarial Targeting in Industrial Control Systems. - Masoud Abbaszadeh; Lalit K. Mestha; Weizhong Yan (CDC, 2018)

Physical Activity Recognition Using Multi-Sensor Fusion and Extreme Learning Machines. - Honggang Wang; Weizhong Yan; Shaopeng Liu (IJCNN, 2019)

Continuous Modeling of Power Plant Performance with Regularized Extreme Learning Machine. - Rui Xu; Weizhong Yan (IJCNN, 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)

On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach. - Weizhong Yan; Lijie Yu (CoRR, 2019)

Attack Detection for Securing Cyber Physical Systems. - Weizhong Yan; Lalit K. Mestha; Masoud Abbaszadeh (IEEE Internet Things J., 2019)

Imbalanced Time Series Classification for Flight Data Analyzing with Nonlinear Granger Causality Learning. - Hao Huang 007; Chenxiao Xu; Shinjae Yoo; Weizhong Yan; Tianyi Wang; Feng Xue 003 (CIKM, 2020)

A Comparison of GANs-Based Approaches for Combustor System Fault Detection. - Rui Xu; Weizhong Yan (IJCNN, 2020)

Adversarial Vulnerability in Doppler-based Human Activity Recognition. - Zhaoyuan Yang; Yang Zhao 020; Weizhong Yan (IJCNN, 2020)

Detecting Gas Turbine Combustor Anomalies Using Semi-supervised Anomaly Detection with Deep Representation Learning. - Weizhong Yan (Cogn. Comput., 2020)

Learning Associations between Features and Clusters: An Interpretable Deep Clustering Method. - Hao Huang 007; Feng Xue 003; Weizhong Yan; Tianyi Wang; Shinjae Yoo; Chenxiao Xu (IJCNN, 2021)

Big Data Analysis of Massive PMU Datasets: A Data Platform Perspective. - Vijay S. Kumar; Tianyi Wang; Kareem S. Aggour; Pengyuan Wang 003; Philip J. Hart; Weizhong Yan (ISGT, 2021)

Flight data anomaly detection and diagnosis with variable association change. - Sijie He; Hao Huang 007; Shinjae Yoo; Weizhong Yan; Feng Xue 003; Tianyi Wang; Chenxiao Xu (SAC, 2021)

On Adversarial Vulnerability of PHM algorithms: An Initial Study. - Weizhong Yan; Zhaoyuan Yang; Jianwei Qiu (CoRR, 2021)

Multivariate Time Series Anomaly Detection with Few Positive Samples. - Feng Xue 003; Weizhong Yan (IJCNN, 2022)

One Masked Model is All You Need for Sensor Fault Detection, Isolation and Accommodation. - Yiwei Fu; Weizhong Yan (IJCNN, 2024)