Chao Liu - RankMe

32 papers B 1C 1Journal 25Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bidirectional linear recurrent models for sequence-level multisource fusion. Inf. Fusion Qisai Liu, Zhanhong Jiang, Md. Zahid Hasan, Joshua R. Waite, Chao Liu, Aditya Balu, Soumik Sarkar
2025	J	`jnl`	A positive-unlabeled learning approach for industrial anomaly detection based on self-adaptive training. Neurocomputing Keyu Song, Chao Liu, Dongxiang Jiang
2025	J	`jnl`	Balancing Utility and Privacy: Dynamically Private SGD with Random Projection. CoRR Zhanhong Jiang, Md. Zahid Hasan, Nastaran Saadati, Aditya Balu, Chao Liu, Soumik Sarkar
2025	J	`jnl`	Balancing Utility and Privacy: Dynamically Private SGD with Random Projection. Trans. Mach. Learn. Res. Zhanhong Jiang, Md. Zahid Hasan, Nastaran Saadati, Aditya Balu, Chao Liu, Soumik Sarkar
2025	J	`jnl`	Bidirectional Linear Recurrent Models for Sequence-Level Multisource Fusion. CoRR Qisai Liu, Zhanhong Jiang, Joshua R. Waite, Chao Liu, Aditya Balu, Soumik Sarkar
2025	B	`conf`	Foundation Model Efficient Fine-Tuning in Centralized and Federated Settings. IEEE Big Data Nastaran Saadati, Zhanhong Jiang, Aditya Balu, Chao Liu, Chinmay Hegde, Soumik Sarkar
2025	J	`jnl`	Wind turbine blade damage identification using lightweight YOLO11 with multi-scale dilated attention. Appl. Soft Comput. Wenjing Xu, Jiachi Yao, Yanxue Wang, Chao Liu, Xinyu Liu, Dongxiang Jiang
2024	J	`jnl`	Asynchronous Training Schemes in Distributed Learning with Time Delay. Trans. Mach. Learn. Res. Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M. Lee
2024	J	`jnl`	Fine-Tuning Pre-trained Large Time Series Models for Prediction of Wind Turbine SCADA Data. CoRR Yuwei Fan, Tao Song, Chenlong Feng, Keyu Song, Chao Liu, Dongxiang Jiang
2024	J	`jnl`	Multiscale-attention masked autoencoder for missing data imputation of wind turbines. Knowl. Based Syst. Yuwei Fan, Chenlong Feng, Rui Wu, Chao Liu, Dongxiang Jiang
2024	J	`jnl`	Root cause localization for wind turbines using physics guided multivariate graphical modeling and fault propagation analysis. Knowl. Based Syst. Chenlong Feng, Chao Liu, Dongxiang Jiang
2024	J	`jnl`	Unsupervised Bayesian change-point detection approach for reliable prognostics and health management of complex mechanical systems. Reliab. Eng. Syst. Saf. Rui Wu, Chao Liu, Dongxiang Jiang
2022	J	`jnl`	A hierarchical scheme for remaining useful life prediction with long short-term memory networks. Neurocomputing Tao Song, Chao Liu, Rui Wu, Yunfeng Jin, Dongxiang Jiang
2022	J	`jnl`	Asynchronous Training Schemes in Distributed Learning with Time Delay. CoRR Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M. Lee
2022	J	`jnl`	The Stochastic Augmented Lagrangian method for domain adaptation. Knowl. Based Syst. Zhanhong Jiang, Chao Liu, Young M. Lee, Chinmay Hegde, Soumik Sarkar, Dongxiang Jiang
2021	J	`jnl`	Deep transfer learning with limited data for machinery fault diagnosis. Appl. Soft Comput. Te Han, Chao Liu, Rui Wu, Dongxiang Jiang
2021	J	`jnl`	Root-cause analysis for time-series anomalies via spatiotemporal graphical modeling in distributed complex systems. Knowl. Based Syst. Chao Liu, Kin Gwn Lore, Zhanhong Jiang, Soumik Sarkar
2019	J	`jnl`	A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults. Knowl. Based Syst. Te Han, Chao Liu, Wenguang Yang, Dongxiang Jiang
2018	C	`conf`	Building Energy Disaggregation using Spatiotemporal Pattern Network. ACC Chao Liu, Zhanhong Jiang, Adedotun Akintayo, Gregor P. Henze, Soumik Sarkar
2018	J	`jnl`	Deep Transfer Network with Joint Distribution Adaptation: A New Intelligent Fault Diagnosis Framework for Industry Application. CoRR Te Han, Chao Liu, Wenguang Yang, Dongxiang Jiang
2018	—	`conf`	Exploring Granger causality in dynamical systems modeling and performance monitoring. CDC Homagni Saha, Chao Liu, Zhanhong Jiang, Soumik Sarkar
2018	J	`jnl`	Predicting County Level Corn Yields Using Deep Long Short Term Memory Models. CoRR Zehui Jiang, Chao Liu, Nathan P. Hendricks, Baskar Ganapathysubramanian, Dermot J. Hayes, Soumik Sarkar
2018	J	`jnl`	Root-cause Analysis for Time-series Anomalies via Spatiotemporal Graphical Modeling in Distributed Complex Systems. CoRR Chao Liu, Kin Gwn Lore, Zhanhong Jiang, Soumik Sarkar
2017	—	`conf`	Data-driven root-cause analysis for distributed system anomalies. CDC Chao Liu, Kin Gwn Lore, Soumik Sarkar
2016	—	`conf`	An Unsupervised Spatiotemporal Graphical Modeling Approach to Anomaly Detection in Distributed CPS. ICCPS Chao Liu, Sambuddha Ghosal, Zhanhong Jiang, Soumik Sarkar
2016	—	`conf`	Data driven exploration of traffic network system dynamics using high resolution probe data. CDC Chao Liu, Bowen Huang, Mo Zhao, Soumik Sarkar, Umesh Vaidya, Anuj Sharma
2016	J	`jnl`	Root-cause analysis for time-series anomalies via spatiotemporal causal graphical modeling. CoRR Chao Liu, Kin Gwn Lore, Soumik Sarkar
2015	J	`jnl`	An unsupervised spatiotemporal graphical modeling approach to anomaly detection in distributed CPS. CoRR Chao Liu, Sambuddha Ghosal, Zhanhong Jiang, Soumik Sarkar
2014	J	`jnl`	Global geometric similarity scheme for feature selection in fault diagnosis. Expert Syst. Appl. Chao Liu, Dongxiang Jiang, Wenguang Yang
2011	J	`jnl`	Machine Condition Classification Using Deterioration Feature Extraction and Anomaly Determination. IEEE Trans. Reliab. Dongxiang Jiang, Chao Liu
2011	J	`jnl`	Wind farm power prediction based on wavelet decomposition and chaotic time series. Expert Syst. Appl. Xueli An, Dongxiang Jiang, Chao Liu, Minghao Zhao
2009	—	`conf`	Application of RBF and Elman Neural Networks on Condition Prediction in CBM. ISNN (4) Chao Liu, Dongxiang Jiang, Minghao Zhao