| 2024 | IJCNN | One Masked Model is All You Need for Sensor Fault Detection, Isolation and Accommodation. | Yiwei Fu, Weizhong Yan |
| 2022 | IJCNN | Multivariate Time Series Anomaly Detection with Few Positive Samples. | Feng Xue, Weizhong Yan |
| 2021 | IJCNN | Learning Associations between Features and Clusters: An Interpretable Deep Clustering Method. | Hao Huang, Feng Xue, Weizhong Yan, Tianyi Wang, Shinjae Yoo, Chenxiao Xu |
| 2021 | SAC | Flight data anomaly detection and diagnosis with variable association change. | Sijie He, Hao Huang, Shinjae Yoo, Weizhong Yan, Feng Xue, Tianyi Wang, Chenxiao Xu |
| 2020 | CIKM | 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 |
| 2020 | IJCNN | A Comparison of GANs-Based Approaches for Combustor System Fault Detection. | Rui Xu, Weizhong Yan |
| 2020 | IJCNN | Adversarial Vulnerability in Doppler-based Human Activity Recognition. | Zhaoyuan Yang, Yang Zhao, Weizhong Yan |
| 2019 | IJCNN | Physical Activity Recognition Using Multi-Sensor Fusion and Extreme Learning Machines. | Honggang Wang, Weizhong Yan, Shaopeng Liu |
| 2019 | IJCNN | Continuous Modeling of Power Plant Performance with Regularized Extreme Learning Machine. | Rui Xu, Weizhong Yan |
| 2017 | IJCNN | Time series classification from scratch with deep neural networks: A strong baseline. | Zhiguang Wang, Weizhong Yan, Tim Oates |
| 2017 | IJCNN | Power plant performance modeling with concept drift. | Yunwen Xu, Rui Xu, Weizhong Yan |
| 2017 | IJCNN | Concept drift learning with alternating learners. | Yunwen Xu, Rui Xu, Weizhong Yan, Paul Ardis |
| 2016 | IJCNN | One-class extreme learning machines for gas turbine combustor anomaly detection. | Weizhong Yan |
| 2010 | IJCNN | Uncertainty with the Gamma Test for model input data selection. | Dawei Han, Weizhong Yan, Ali Moghaddam Nia |
| 2010 | IJCNN | 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 |
| 2010 | IJCNN | Learning mixtures of experts with a hybrid generative-discriminative algorithm. | Ya Xue, Xiao Hu, Weizhong Yan, Hai Qiu |
| 2009 | ICNC | Validation of the Gamma Test for Model Input Data Selection - with a Case Study in Evaporation Estimation. | Dawei Han, Weizhong Yan |
| 2009 | IJCNN | Gaussian process for long-term time-series forecasting. | Weizhong Yan, Hai Qiu, Ya Xue |
| 2008 | IJCNN | Anomaly detection using data clustering and neural networks. | Hai Qiu, Neil H. W. Eklund, Xiao Hu, Weizhong Yan, Naresh Iyer |
| 2008 | IJCNN | Jet engine gas path fault diagnosis using dynamic fusion of multiple classifiers. | Weizhong Yan, Feng Xue |
| 2007 | FUSION | Fusion in multi-criterion feature ranking. | Weizhong Yan |
| 2007 | IJCNN | Parametric model-based anomaly detection for locomotive subsystems. | Feng Xue, Weizhong Yan |
| 2006 | IJCNN | Designing a Neural Network Decision System for Automated Insurance Underwriting. | Weizhong Yan, Piero P. Bonissone |