Research
Publications
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Liangliang Zhuang, Ancha Xu*, Guanqi Fang, and Yincai Tang. Multivariate reparameterized inverse Gaussian processes with common effects for degradation-based reliability prediction, Journal of Quality Technology, (2024). [PDF], [Supp], [code]
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Ancha Xu, Guanqi Fang, Liangliang Zhuang* and Cheng Gu. A multivariate Student-t process model for dependent tail-weighted degradation data, IISE Transactions, (2024). [PDF], [code]
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Liangliang Zhuang, Ancha Xu*, Yijun Wang, and Yincai Tang. Remaining useful life prediction for two-phase degradation model based on reparameterized inverse Gaussian process, European Journal of Operational Research, (2024). [PDF], [Supp]
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Liangliang Zhuang, Ancha Xu* and Xiao-Lin Wang*. A prognostic driven predictive maintenance framework based on Bayesian deep learning, Reliability Engineering & System Safety, 234 (2023): 109181. [PDF]
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Liangliang Zhuang, Ancha Xu* and Jihong Pang. Product reliability analysis based on heavily censored interval data with batch effects. Reliability Engineering & System Safety, 212 (2021): 107622. [PDF]
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Liangliang Zhuang and Ancha Xu*. Data analysis of progressive‐stress accelerated life tests with group effects, Quality Technology & Quantitative Management, 20.6 (2023): 763-783. [PDF]
Working papers
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Ancha Xu, Xinming Weng, and Liangliang Zhuang* (2024+). “Strategic integration of adaptive sampling and ensemble techniques in federated learning for aircraft engine remaining useful life prediction”, Applied Soft Computing, under review.
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Liangliang Zhuang, and Ancha Xu* (2024+). “Online estimation and remaining useful life prediction considering sensor degradation using inverse Gaussian process”, under preparation.
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Liangliang Zhuang, Guanqi Fang, and Ancha Xu* (2024+). “Reliability analysis and degradation modeling using two-scale reparameterized inverse Gaussian processes”, under preparation.
* Corresponding author
Acadamic Talks
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Stochastic Modeling for Two-Stage and Multivariate Degradation Process
reported by Prof. Tang, produced by Liangliang. [Slides]- The 6th International Conference on System Reliability and Safety Engineering (Keynote Speech), 2024.10.
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Reparameterized Inverse Gaussian Process and Its Applications
reported by Prof. Xu, produced by Liangliang. [Slides]- 北京理工大学数学与统计学院, 2024.08.
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A Multivariate Student-t Process Model for Dependent Tail-Weighted Degradation Data
reported by Prof. Xu, produced by Liangliang. [Slides]- 中国运筹学会可靠性分会学术年会, 2024.04.
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Remaining Useful Life Prediction for Two-Phase Degradation Model Based on Reparameterized Inverse Gaussian Process
reported by Prof. Xu, produced by Liangliang. [Slides]- 天津大学管理与经济学部, 2024.03.
- 北京理工大学管理与经济学院, 2024.03.
- 苏州大学数学科学学院, 2023.11.
- 中国运筹学会可靠性分会年会(优秀论文), 2023.12. (reported by Liangliang)
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Prognostic Driven Predictive Maintenance Framework Based on Bayesian Deep Learning
reported by Liangliang. [Slides]- 中国现场统计研究会可靠性分会学术年会, 2023.06.
- The 4th International Conference on System Reliability and Safety Engineering (Best Student Paper Award), 2022.12.
- 第六届全国统计学博士研究生学术论坛(二等奖), 2022.11
Other Talks
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Research Steps and Techniques
Seminar held by 荷兰心理学联盟 (in Chinese), 2024. Slides, Video -
Deep learning with R for beginners
Seminar held by 统计之都 (in Chinese), 2022. Video, Code -
Visualization tutorial using R
Summer Seminar (in Chinese), 2021. Video, HTML -
R Markdown tutorial for beginners
Self-made online courses (in Chinese), 2021. Video, HTML, Slides I, II
Honors & Awards
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National Scholarship for PhD Students (2024.11)
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China Scholarship Council program (2024.01 - 2025.01)
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Best Paper at the 2023 Annual Conference of the Reliability Sub-Society of the Operations Research Society of China (2023.12)
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Best Student Paper Award in the 4th International Conference on System Reliability and Safety Engineering (SRSE) (2022.12)
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Second Prize of the 6th National Academic Forum for PhD Students in Statistics (2022.11)
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Third prize in the “Obey Cup” Industrial Supply Chain Data Intelligence Innovation Competition (2022.11)
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Outstanding Graduate of Zhejiang Province (2021.10)
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National Scholarship for Postgraduate Students (2021.09)
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Third Prize in National Graduate Mathematical Modeling Competition (2020, 2019)
Books
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Translate Applied statistics using R by Mehmet Mehmetoglu and Matthias Mittner into Chinese as R速成: 统计分析和科研数据分析快速上手.
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Collaboratively completed the Chinese book titled R Markdown 指南.