Zhaohui Li

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About me

I am currently an Assisstant Professor at the Institute of Systems Science, AMSS, CAS. Before joining CAS, I was a Post-Doctoral Fellow at the H. Milton Stewart School of Industrial and Systems Engineering (ISyE), Georgia Institute of technology. Before joining Georgia Tech, I was a research assistant at the School of Data Science, City university of Hong Kong. I received my B.S degree in Mathematics from Hua Loo-Keng Talent Program in Mathematics at the University of Science and Technology of China (USTC) in 2014, graduated with honors, and my Ph.D. degree in Statistics from the University of Chinese Academy of Sciences and (Jointly) City University of Hong Kong.

My research areas are computer experiments and uncertainty quantification. My research interests involve integrating domain knowledge (e.g., conservation law, mechanical models, bio-system models) into statistical modeling and parameter inference. In particular, I’m working on building new statistical models and machine learning algorithms for parameter inference problems, providing a novel way for scientists to calibrate their scientific model from data, and for statisticians to integrate scientific knowledge for parameter inference and uncertainty quantification of a complex computer model.

Download my cv (中文版) in PDF format.

News

2023.12.20: I will give a talk at AMSS.
2023.12.25: I will give a talk at BUT.

Past News

2023.06: I attend the ICQSR 2023 in NORTH CAROLINA STATE UNIVERSITY.
2023.01: I join the Institute of Systems Science, AMSS, CAS, as an assistant professor this Summer.
2021.07: I join Georgia Institute of Technology as a Postdoctoral fellow.
2020.07: I got Ph.D in statistics from Univeristy of Chinese Academy of Sciences and (jointly) City University of Hong Kong.
2020.06.01: I got married with Qingmei Zhao.
2014.09: I start to pursue my Ph.D at Academy of Mahtematics and Systems Sciences.

Experiences

Working

2020-2021 : Research Assisstant; School of Data Science, City University of Hong Kong
- Supervisor: Prof. Matthias Tan
2021-present : PostDoc; Georgia Institute of Technology
- Supervisor: Prof. Jeff Wu

Education

2010-2014 : B.S, Mathematics; School of the Gifted Young, University of Science and Technology of China
- Honor degree of Hua Loo-Keng Talent Program in Mathematics
2014-2020 : Ph.D, Statistics; Academy of Mathematics and Systems Sciences, Chinese Academy of Sciences
- Thesis: 系统可靠性综合评估与贝叶斯逆问题中若干问题的研究
- Supervisor: Prof. Dan Yu
2018-2020 : (Joint) Ph.D, Statistics; School of Data Science, City University of Hong Kong
- Thesis: Contributions to System Reliability Assessment and Bayesian Inverse Problems
- Supervisor: Prof. Matthias Tan
- Slides for my Ph.D thesis defense.

Research Interests

Physics-Informed Machine Learning

Calibration of Computer Models

System Reliability

Robust Regression

Publications

Published Journal Papers

Du, S., Li, Z., Yu, D., Li, D., & Hu, Q. (2020) Exact Confidence Limit for Complex System Reliability Based on Component Test Data. Quality Technology & Quantitative Management, 17(1), 75-88.
Li, Z., Yu, D., Liu, J., & Hu, Q. （2021） Higher-order Normal Approximation Approach for Highly Reliable System Assessment. IISE Transactions, 52(5)，555-567.
Li, Z., & Tan, M.H. （2022） A Gaussian Process Emulator Based Approach for Bayesian Calibration of a Functional Input. Technometrics, 64(3),299-311.

Conference Papers

Li, Z., Hu, Q., & Yu, D. (2016) Higher order normal approximation approach for system reliability assessment. In 2016 11th International Conference on Reliability, Maintainability, and Safety (ICRMS 2016) (pp. 1-6). IEEE.
Fan, Z., Li, Z., & Hu, Q. (2022) Robust Bayesian Regression via Hard Thresholding. In 36th Conference on Neural Information Processing Systems (NeurIPS 2022).

Book Chapters

Li, Z., & Tan, M.H. (2022) Improving Gaussian Process Emulators with Boundary Information. Artificial Intelligence, Big Data and Data Science in Statistics, 171-192.

Submitted Papers

Li, Z., Yang, S., & Wu, J. (2022+) Inference of Nonlinear Partial Differential Equations via Constrained Gaussian Processes. Submitted to SIAM Journal on Uncertainty Quantification. Under major revision. [slides]
Fan, Z., Li, Z., Wang, J., Lin, D.K.J., Xiong, X., & Hu, Q. (2022+) A Bayesian Robust Regression Method for Corrupted Data Reconstruction. Submitted to Journal of Quality Technology. Under major revision.
Li, Z., Yang, S., & Wu, J. (2023+) Stochastic Differential Equations informed Gaussian Process for Parameter Inference. Submitted to NeurIPS 2023.

Working Papers

Li, Z., Tan, M.H., & Wu, J. (2023+) A Parameterization-Invariant Framework for Bayesian Calibration of Positive Definite Matrix.
Sun, Y., Li, Z., Xie, Y., Yang, S. (2023+) O-MAGIC: Online Change-Point Detection for Dynamic Systems.

Talks

Invited Talks

Functional Input Estimation Using a Gaussian Process Prior with Uncertain Correlation Parameters. (2019) Workshop on Uncertainty Quantification, Yunnan University, Kunming.
A Gaussian Process Emulator based Bayesian Calibration for Functional Parameters. (2020) Academy of Mathematics and System Sciences, Chinese Academy of Sciences, Beijing.
A Partial Differential Equation Constrained Gaussian Processes Inference Method. (2021) Academy of Mathematics and System Sciences, Chinese Academy of Sciences, Beijing.[slides]
Inference of Nonlinear Partial Differential Equations via Constrained Gaussian Processes. (2022) Louisiana State University, Baton Rouge.[slides]
Nonlinear Partial Differential Equations Informed Gaussian Processes. (2023) Georgia Institute of Technology, Atlanta.
A Gaussian Process Emulator based Bayesian Calibration for Functional Parameters. (2023.07.23) 第十一届国际质量与可靠性科学技术研讨会, Beijing.
Parameter Inference via Nonlinear Partial Differential Equations Informed Gaussian Processes. (2023。07.26) (2023年北京理工大学计算统计研讨会).[slides]

Poster Presentations

Robust Bayesian Regression via Hard Thresholding. (2022) The 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans.[poster]

Contributed Talks

Higher-order Normal Approximation Approach for Highly Reliable System Assessment. (2016) International Research Conference on Systems Engineering and Management Science (ICR-SEMS). Beijing.
Higher order normal approximation approach for system reliability assessment. (2016) The 11th International Conference on Reliability, Maintainability and Safety (ICRMS) Hangzhou.
The Buehler lower limits on system reliability based on the component experiment data. (2016) The 7th Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling (APARM), Seoul.
Improved WCF expansion to assessing the reliability of complex systems. (2017) The 10th International Conference on Mathematical Methods in Reliability (MMR), Grenoble.
Higher order normal approximation approach for highly reliable system assessment. (2021) The IISE Annual Meeting. (Virtual).
A Gaussian Process Emulator Based Approach for Bayesian Calibration of a Functional Input. (2021) INFORMS Annual Meeting. (Virtual) Anaheim, California.[slides]
Calibration of Physics Informed Computer Models with Functional Inputs. (2022.04) SIAM Conference on Uncertainty Quantification (UQ22). Atlanta, Georgia. [slides]
Inference of Nonlinear Partial Differential Equations via Constrained Gaussian Processes. (2023) INFORMS Conference on Quality, Statistics, and Reliability (ICQSR). Raleigh, North Carolina. [slides]
Robust Bayesian Regression via Hard Thresholding. (2023). The First Joint Conference on Statistics and Data Science in China (JCSDS). Beijing.[slides]

Please feel free to request papers, codes, or slides related to my presentations and research via email.

Professional Activities

Honors and Awards

(2011,2012) Outstanding Undergraduate Scholarship
- Unicersity of Science and Technology of China
(2013) National Scholarship
- Unicersity of Science and Technology of China
(2014) Honor degree of Hua Loo-Keng Talent Program in Mathematics
- Unicersity of Science and Technology of China
(2014) Outstanding Freshman Scholarship
- Academy of Mathematics and Systems Science, Chinese Academy of Sciences
(2016) Best Paper Award
- The 11th International Conference on Reliability, Maintainability and Safety (ICRMS)
(2019) IISE transactions Featured Article
- IISE transactions
(2021) Honorable Mention for the Best Paper in the 2020 IISE Transactions:
- IISE transactions Annual Meeting

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