LI Yongxiang
Assistant Professor
Department of Industrial Engineering and Management
Office Phone:
Address: Room 541, University of Michigan – Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China
Email: yongxiangli@stju.edu.cn
Website:
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Educational Background
2015.09-2019.05, Ph.D in Data Sacience, City University of Hong Kong
2006.09-2010.06, Bachelor in Mathematics, Shantou University
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Professional Experience
2019.09- Assistant Professor, Department of Industrial Engineering and Management, Shanghi Jiao Tong University
2014.08-2015.08 Senior Research Assistant Engineering and Engineering Management, City University of Hong Kong
2013.08-2014.08 Research Assistant, Systems Engineering and Engineering Management, City University of Hong Kong
2011.03-2013.06 Engineer/Research Assistant, State Key Laboratory of Metamaterial Electromagnetic Modulation Technology, KuangChi Institute of Advanced Technology
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Research Interests
His research focuses on data science for engineering decision making and system performance improvement, using methodologies from statistics, data mining, machine learning and signal processing. Specifically, he has been working in the areas such as design and analysis of computer experiments, statistical quality control, fault detection and failure diagnostics.
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Research Projects
2022/01-2024/12 Statistical Monitoring and Intelligent Diagnosis of Complex Manufacturing Processes Based on Multi-source Heterogeneous Data, NSFC Youth Program, 300, 000 RMB, PI.
2021/10-2023/9, Statistical Process Monitoring and Intelligent Diagnosis of Machinery under Varying Working Conditions through Multiple Heterogeneous Sensors, Shanghai Pujiang Talent Program, 300, 000 RMB, PI.
2022-01-2025-12, Process Monitoring and Maintenance Decision-making of Complex Manufacturing Systems through Joint Modeling of Product Quality and Machine Condition Data, NSFC General Program, 480, 000 RMB, Co-PI.
2016-2020 Safety, Reliability, and Disruption Management of High Speed Rail and Metro Systems Theme-based Research Scheme 40,000,000 HKD, Participant
2016-2019 Statistical Monitoring of Multivariate Quality Profiles Using Correlated Gaussian Processes General Research Fund 676,000 HKD, Participant
2014-2016 Experimental Design schemes for Computer Experiments with Complex Characteristics, National Science Foundation of China, 220,000 RMB, Participant
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Selected Publications
1) LI Yongxiang, ZHOU Qiang*. (2016). Pairwise Meta-Modeling of Multivariate Output Computer Models Using Nonseparable Covariance Function. Technometrics. 58(4), 483-494.
2) LI Yongxiang, ZHOU Qiang*, HUANG Xiaohu, ZENG Li. (2018). Pairwise Estimation of Multivariate Gaussian Process Models with Replicated Observations: Application to Multivariate Profile Monitoring. Technometrics. 60(1), 70-78.
3) FAN Wei, LI Yongxiang*, TSUI Kwok Leung, ZHOU Qiang. (2018). A Noise Resistant Correlation Method for Period Detection of Noisy Signals. IEEE Transactions on Signal Processing. 66(10) 2700-2710.
4) GHOSH Mithun, LI Yongxiang, ZHOU Qiang, ZENG Li, ZHANG Zijun. (2021). Modeling Multivariate Profiles Using Gaussian Process-Controlled B-Splines. IISE Transactions. 53(7), 787-798.
5) FAN Wei, LI Yongxiang*, CHEN Long, XU Zhenying. (2021). Bearing Fault Detection Via B-spline Constructed Sparse Method. IEEE Transactions on Instrumentation and Measurement. Accepted. DOI: 10.1109/TIM.2021.3050794.
6) LI Yongxiang, ZHAO Huixian, FAN Wei*, SHEN Changqing. (2021). Extended Noise Resistant Correlation Method for Period Estimation of Pseudo-Periodic Signals. IEEE Transactions on Instrumentation and Measurement. Accepted. DOI: 10.1109/TIM.2021.3052027.
7) LI Ruixian, ZHUANG Li, LI Yongxiang, SHEN Changqing. (2021). Intelligent Bearing Fault Diagnosis Based on Scaled Ramanujan Filter Banks in Noisy Environments. IEEE Transactions on Instrumentation and Measurement. Accepted. DOI: 10.1109/TIM.2021.3122184
8) LI Yongxiang, ZHAO Huixian, FAN Wei*, SHEN Changqing. (2021). Generalized Autocorrelation Method for Fault Detection under Varying-Speed Working Conditions. IEEE Transactions on Instrumentation and Measurement. Accepted. DOI 10.1109/TIM.2021.3104018.
9) XU Ruiyu, WU Jianguo*, YUE Xiaowei, and LI Yongxiang. (2022). Online Structural Change-point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning. Technometrics. Accepted. DOI: 10.1080/00401706.2022.2046171
10) LI Yongxiang, Pu Yuting, FAN Wei*, WU Jianguo. (2022). Constraint Linear Model for Period Estimation and Sparse Feature Extraction Based on Iterative Likelihood Ratio Test. IEEE Transactions on Industrial Electronics. Accepted.
11) FAN Wei, CHEN Zhenqiang, LI Yongxiang*, ZHU Feng, XIE Min. (2022). A Reinforced Noise Resistant Correction Method for Bearing Condition Monitoring. IEEE Transactions on Automation Science and Engineering. Accepted.
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Teaching
Engineering Statistics (Spring 2019-2020)
Engineering Statistics (Spring 2020-2021)
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Patents and Applications
Cassegrain Microwave Antenna. PCT/CN2011/082821 (WO2013013463 A1), filed 24.11.2011 and published 31.01.2013.
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Other Professional Activities
Reviewers of:
Technometrics
Statistical Science
IISE Transactions
IEEE Transactions on Pattern Analysis and Machine Intelligence
etc.
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Honors and Awards
2021, Sponsored by the Shanghai Pujiang Talent Program