Application of RBF and Elman Neural Networks on Condition Prediction in CBM. - Chao Liu 028; Dongxiang Jiang; Minghao Zhao 004 (ISNN (4), 2009)

Wind farm power prediction based on wavelet decomposition and chaotic time series. - Xueli An; Dongxiang Jiang; Chao Liu 028; Minghao Zhao 004 (Expert Syst. Appl., 2011)

Machine Condition Classification Using Deterioration Feature Extraction and Anomaly Determination. - Dongxiang Jiang; Chao Liu 028 (IEEE Trans. Reliab., 2011)

Global geometric similarity scheme for feature selection in fault diagnosis. - Chao Liu 028; Dongxiang Jiang; Wenguang Yang (Expert Syst. Appl., 2014)

Data driven exploration of traffic network system dynamics using high resolution probe data. - Chao Liu 028; Bowen Huang; Mo Zhao; Soumik Sarkar; Umesh Vaidya; Anuj Sharma (CDC, 2016)

An Unsupervised Spatiotemporal Graphical Modeling Approach to Anomaly Detection in Distributed CPS. - Chao Liu 028; Sambuddha Ghosal; Zhanhong Jiang; Soumik Sarkar (ICCPS, 2016)

Root-cause analysis for time-series anomalies via spatiotemporal causal graphical modeling. - Chao Liu 028; Kin Gwn Lore; Soumik Sarkar (CoRR, 2016)

Data-driven root-cause analysis for distributed system anomalies. - Chao Liu 028; Kin Gwn Lore; Soumik Sarkar (CDC, 2017)

Building Energy Disaggregation using Spatiotemporal Pattern Network. - Chao Liu 028; Zhanhong Jiang; Adedotun Akintayo; Gregor P. Henze; Soumik Sarkar (ACC, 2018)

Exploring Granger causality in dynamical systems modeling and performance monitoring. - Homagni Saha; Chao Liu 028; Zhanhong Jiang; Soumik Sarkar (CDC, 2018)

Deep Transfer Network with Joint Distribution Adaptation: A New Intelligent Fault Diagnosis Framework for Industry Application. - Te Han; Chao Liu 028; Wenguang Yang; Dongxiang Jiang (CoRR, 2018)

Predicting County Level Corn Yields Using Deep Long Short Term Memory Models. - Zehui Jiang; Chao Liu 028; Nathan P. Hendricks; Baskar Ganapathysubramanian; Dermot J. Hayes; Soumik Sarkar (CoRR, 2018)

A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults. - Te Han; Chao Liu 028; Wenguang Yang; Dongxiang Jiang (Knowl. Based Syst., 2019)

Deep transfer learning with limited data for machinery fault diagnosis. - Te Han; Chao Liu 028; Rui Wu 005; Dongxiang Jiang (Appl. Soft Comput., 2021)

Root-cause analysis for time-series anomalies via spatiotemporal graphical modeling in distributed complex systems. - Chao Liu 028; Kin Gwn Lore; Zhanhong Jiang; Soumik Sarkar (Knowl. Based Syst., 2021)

A hierarchical scheme for remaining useful life prediction with long short-term memory networks. - Tao Song; Chao Liu 028; Rui Wu 005; Yunfeng Jin; Dongxiang Jiang (Neurocomputing, 2022)

The Stochastic Augmented Lagrangian method for domain adaptation. - Zhanhong Jiang; Chao Liu 028; Young M. Lee; Chinmay Hegde; Soumik Sarkar; Dongxiang Jiang (Knowl. Based Syst., 2022)

Fine-Tuning Pre-trained Large Time Series Models for Prediction of Wind Turbine SCADA Data. - Yuwei Fan; Tao Song; Chenlong Feng; Keyu Song; Chao Liu 028; Dongxiang Jiang (CoRR, 2024)

Multiscale-attention masked autoencoder for missing data imputation of wind turbines. - Yuwei Fan; Chenlong Feng; Rui Wu 005; Chao Liu 028; Dongxiang Jiang (Knowl. Based Syst., 2024)

Root cause localization for wind turbines using physics guided multivariate graphical modeling and fault propagation analysis. - Chenlong Feng; Chao Liu 028; Dongxiang Jiang (Knowl. Based Syst., 2024)

Unsupervised Bayesian change-point detection approach for reliable prognostics and health management of complex mechanical systems. - Rui Wu 005; Chao Liu 028; Dongxiang Jiang (Reliab. Eng. Syst. Saf., 2024)

Asynchronous Training Schemes in Distributed Learning with Time Delay. - Haoxiang Wang 006; Zhanhong Jiang; Chao Liu 028; Soumik Sarkar; Dongxiang Jiang; Young M. Lee (Trans. Mach. Learn. Res., 2024)

A positive-unlabeled learning approach for industrial anomaly detection based on self-adaptive training. - Keyu Song; Chao Liu 028; Dongxiang Jiang (Neurocomputing, 2025)

Bidirectional Linear Recurrent Models for Sequence-Level Multisource Fusion. - Qisai Liu; Zhanhong Jiang; Joshua R. Waite; Chao Liu 028; Aditya Balu; Soumik Sarkar (CoRR, 2025)