Chao Liu

According to our database, Chao Liu authored at least 18 papers between 2009 and 2022.

Collaborative distances:

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

2022

The Stochastic Augmented Lagrangian method for domain adaptation.

Zhanhong Jiang, Chao Liu, Young M. Lee, Chinmay Hegde, Soumik Sarkar, Dongxiang Jiang

Knowl. Based Syst., 2022

A hierarchical scheme for remaining useful life prediction with long short-term memory networks.

Tao Song, Chao Liu, Rui Wu, Yunfeng Jin, Dongxiang Jiang

Neurocomputing, 2022

Asynchronous Training Schemes in Distributed Learning with Time Delay.

Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M. Lee

CoRR, 2022

2021

Root-cause analysis for time-series anomalies via spatiotemporal graphical modeling in distributed complex systems.

Chao Liu, Kin Gwn Lore, Zhanhong Jiang, Soumik Sarkar

Knowl. Based Syst., 2021

Deep transfer learning with limited data for machinery fault diagnosis.

Te Han, Chao Liu, Rui Wu, Dongxiang Jiang

Appl. Soft Comput., 2021

2019

A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults.

Te Han, Chao Liu, Wenguang Yang, Dongxiang Jiang

Knowl. Based Syst., 2019

2018

Predicting County Level Corn Yields Using Deep Long Short Term Memory Models.

Zehui Jiang, Chao Liu, Nathan P. Hendricks, Baskar Ganapathysubramanian, Dermot J. Hayes, Soumik Sarkar

CoRR, 2018

Deep Transfer Network with Joint Distribution Adaptation: A New Intelligent Fault Diagnosis Framework for Industry Application.

Te Han, Chao Liu, Wenguang Yang, Dongxiang Jiang

CoRR, 2018

Exploring Granger causality in dynamical systems modeling and performance monitoring.

Homagni Saha, Chao Liu, Zhanhong Jiang, Soumik Sarkar

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

Building Energy Disaggregation using Spatiotemporal Pattern Network.

Chao Liu, Zhanhong Jiang, Adedotun Akintayo, Gregor P. Henze, Soumik Sarkar

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Data-driven root-cause analysis for distributed system anomalies.

Chao Liu, Kin Gwn Lore, Soumik Sarkar

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Root-cause analysis for time-series anomalies via spatiotemporal causal graphical modeling.

Chao Liu, Kin Gwn Lore, Soumik Sarkar

CoRR, 2016

An Unsupervised Spatiotemporal Graphical Modeling Approach to Anomaly Detection in Distributed CPS.

Chao Liu, Sambuddha Ghosal, Zhanhong Jiang, Soumik Sarkar

Proceedings of the 7th ACM/IEEE International Conference on Cyber-Physical Systems, 2016

Data driven exploration of traffic network system dynamics using high resolution probe data.

Chao Liu, Bowen Huang, Mo Zhao, Soumik Sarkar, Umesh Vaidya, Anuj Sharma

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2014

Global geometric similarity scheme for feature selection in fault diagnosis.

Chao Liu, Dongxiang Jiang, Wenguang Yang

Expert Syst. Appl., 2014

2011

Machine Condition Classification Using Deterioration Feature Extraction and Anomaly Determination.

Dongxiang Jiang, Chao Liu

IEEE Trans. Reliab., 2011

Wind farm power prediction based on wavelet decomposition and chaotic time series.

Xueli An, Dongxiang Jiang, Chao Liu, Minghao Zhao

Expert Syst. Appl., 2011

2009

Application of RBF and Elman Neural Networks on Condition Prediction in CBM.

Chao Liu, Dongxiang Jiang, Minghao Zhao

Proceedings of the Sixth International Symposium on Neural Networks, 2009