Postdoctoral Researcher 2015–2017
Joined Fall 2015Now: Associate Professor, Department of Energy and Power Engineering, Tsinghua University
- Ph.D., Power Engineering and Engineering Thermophysics, Tsinghua University, 2013
- B.E., Thermal and Power Engineering, Huazhong University of Science and Technology, 2008
Chao joined the lab in August 2015 as a Postdoctoral Researcher in the Department of Mechanical Engineering and stayed until August 2017. His research focused on two areas. The first was diagnosis, prognosis, and health monitoring, including feature extraction and selection, fault identification, and remaining useful life prediction using physical and statistical models. The second was structural dynamics, including the dynamics of structures and rotor systems, finite element methods for the dynamics of cracked rotor systems, and experimental studies of rotor systems.
He is now an Associate Professor in the Department of Energy and Power Engineering at Tsinghua University, a rank he has held since December 2022.
Research interests: Rotating machinery dynamics, structural health monitoring, fault diagnosis and prognosis, finite element analysis, machine learning
Publications with the lab (23)
- Bidirectional linear recurrent models for sequence-level multisource fusion — Information Fusion (2026)
- Foundation Model Efficient Fine-Tuning in Centralized and Federated Settings — 2025 IEEE International Conference on Big Data (BigData) (2025)
- The stochastic augmented lagrangian method for domain adaptation — Knowledge-Based Systems (2022)
Show all 23
- Asynchronous training schemes in distributed learning with time delay — arXiv preprint arXiv:2208.13154 (2022)
- Root-cause analysis for time-series anomalies via spatiotemporal graphical modeling in distributed complex systems — Knowledge-Based Systems (2021)
- Data-Driven Performance Monitoring of Dynamical Systems Using Granger Causal Graphical Models — Journal of Dynamic Systems Measurement and Control (2020)
- Traffic sensor health monitoring using spatiotemporal graphical modeling — International Journal of Prognostics and Health Management (2020)
- Traffic System Anomaly Detection using Spatiotemporal Pattern Networks — International Journal of Prognostics and Health Management (2020)
- Predicting county-scale maize yields with publicly available data — Scientific Reports (2020)
- Traffic dynamics exploration and incident detection using spatiotemporal graphical modeling — Journal of Big Data Analytics in Transportation (2019)
- An adaptive spatiotemporal feature learning approach for fault diagnosis in complex systems — Mechanical Systems and Signal Processing (2019)
- Exploring Granger causality in dynamical systems modeling and performance monitoring — 2018 IEEE Conference on Decision and Control (CDC) (2018)
- Building Energy Disaggregation using Spatiotemporal Pattern Network — (2018)
- Linked read technology for assembling large complex and polyploid genomes — BMC genomics (2018)
- Multivariate exploration of non-intrusive load monitoring via spatiotemporal pattern network — Applied Energy (2018)
- Data-driven root-cause analysis for distributed system anomalies — (2017)
- Energy prediction using spatiotemporal pattern networks — Applied Energy (2017)
- An unsupervised anomaly detection approach using energy-based spatiotemporal graphical modeling — Cyber-physical systems (2017)
- Bridge damage detection using spatiotemporal patterns extracted from dense sensor network — Measurement Science and Technology (2017)
- Data-driven persistent monitoring of Indoor Air Systems — Iowa State University Digital Repository (Iowa State University), Iowa State University (2016)
- Data driven exploration of traffic network system dynamics using high resolution probe data — 2016 IEEE 55th Conference on Decision and Control (CDC) (2016)
- An unsupervised spatiotemporal graphical modeling approach to anomaly detection in distributed cps — 2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS … (2016)
- Damage Detection of Bridge Network With Spatiotemporal Pattern Network — (2016)
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