2026
Publication Impact
Research metrics and achievements
10
SCI journal papers
3
Highly cited papers
4
Working papers
3
Books
8
H-index
497
Total citations
50
GitHub repositories
239
Total stars
Publications
I have published 10 SCI-indexed journal articles as the first or corresponding author, including 3 highly cited papers.
2026
2026
2025
2025
2025
2024
2023
2023
2021
* Corresponding author
Working Papers
Modeling multivariate degradation with time-varying mean-variance dynamics for reliability assessment
Ancha Xu, Hong Yin, Nan Liu, and Liangliang Zhuang*. IISE Transactions, under review.
Online RUL prediction for monotone degradation systems under sensor degradation via recursive estimation
Liangliang Zhuang, Hong Yin, Yizhong Ma, and Ancha Xu*. Naval Research Logistics, under review.
Multi-phase degradation modeling: A review of model structures, statistical inference, and decision support
Liangliang Zhuang, Nan Liu, Di Zhu, and Ancha Xu*. Statistical Theory and Related Fields, under review.
Cost-aware sequential active learning for accelerated degradation test planning with degrading measurement systems
Liangliang Zhuang, Yizhong Ma, and Ancha Xu*.
Funded Grants
Principal Investigator
3
China Postdoctoral Science Foundation General Program
2026M794714Jul. 2026 - Jun. 2028
Xinmiao Talent Program of Zhejiang Province
XMS2106049Nov. 2021 - Nov. 2022
Department of Education of Zhejiang Province
Y202044238Jan. 2020 - Jan. 2021
Participant
4
National Natural Science Foundation of China (NSFC) General Program
72571246Jan. 2026 - Dec. 2029
Key Program of the Natural Science Foundation of Zhejiang Province
LZ24A010002Jan. 2024 - Dec. 2026
Zhejiang Provincial Philosophy and Social Science Planning Project
22JCXK09YBAug. 2022 - Jul. 2024
General Project of the Zhejiang Provincial Philosophy and Social Science Planning Program
26HQZZ012YBJan. 2024 - Dec. 2025
Talks
Modeling multivariate degradation with time-varying mean-variance dynamics for reliability assessment
reported by Liangliang
- Workshop on Reliability Analysis and Intelligent Operation & Maintenance for Complex Engineering Systems and ZJUI Young Scholars Development Forum, 2026.06.06, Zhejiang University-University of Illinois Urbana-Champaign Institute, Haining, Jiaxing.
- Reliability Branch of ORSC Annual Conference, 2026.04, Beijing Forestry University, Beijing.
Multivariate rIG processes with common effects for degradation-based reliability prediction
reported by Liangliang
- Reliability Engineering Branch Annual Conference of Chinese Association for Applied Statistics, 2025.09, Yan'an, Shaanxi.
Modeling two-scale degradation with heterogeneity: A unified random-effects inverse Gaussian framework
reported by Liangliang
- Department of Industrial Systems Engineering and Management, National University of Singapore, 2024.12, Singapore.
- 21st Korea-China Joint Conference on Quality, 2025.08, Luoyang, Henan.
- School of Economics and Management, Nanjing University of Aeronautics and Astronautics, 2025.10, Nanjing, Jiangsu.
- School of Mathematics and Statistics, Northwest Normal University, 2025.11, online.
Stochastic modeling for two-stage and multivariate degradation process
reported by Prof. Yincai Tang; produced by Liangliang
- The 6th International Conference on System Reliability and Safety Engineering, keynote speech, 2024.10.
Reparameterized inverse Gaussian process and its applications
reported by Prof. Xu and Liangliang; produced by Liangliang
- School of Mathematics and Statistics, Beijing Institute of Technology, 2024.08, Beijing. reported by Prof. Xu
- The 7th International Conference on System Reliability and Safety Engineering, 2025.11. reported by Liangliang
- Reliability Branch of ORSC Annual Conference, 2025.12, Chengdu, Sichuan. reported by Liangliang
- Reliability Home online seminar, 2026.03.23. reported by Liangliang
- Seminar on Reliability Statistical Analysis for Complex Systems, 2026.05.23, East China Normal University, Shanghai. reported by Liangliang
A multivariate Student-t process model for dependent tail-weighted degradation data
reported by Prof. Xu; produced by Liangliang
- Reliability Branch of ORSC Annual Conference, 2024.04, Chengdu, Sichuan.
Remaining useful life prediction for two-phase degradation model based on reparameterized inverse Gaussian process
reported by Prof. Xu and Liangliang; produced by Liangliang
- Industrial Engineering Branch Annual Conference, 2025.09, Yinchuan, Ningxia. reported by Liangliang
- College of Management and Economics, Tianjin University, 2024.03, Tianjin.
- School of Management and Economics, Beijing Institute of Technology, 2024.03, Beijing.
- School of Mathematical Sciences, Soochow University, 2023.11, Suzhou.
- Reliability Branch of ORSC Annual Conference, outstanding paper, 2023.12. reported by Liangliang
Prognostic driven predictive maintenance framework based on Bayesian deep learning
reported by Liangliang
- Reliability Engineering Branch Annual Conference, 2023.06.
- The 4th International Conference on System Reliability and Safety Engineering, 2022.12.
- The 6th National Academic Forum for Ph.D. Students in Statistics, 2022.11.
其他报告
科研、R、可视化与 R Markdown 教学分享
reported by Liangliang
- Research Steps and Techniques, Dutch Psychologists Network, 2024. Slides Video
- Deep learning with R for beginners, Capital of Statistics, 2022. Video Code
- Visualization tutorial using R, summer online seminar, 2021. Video HTML
- R Markdown tutorial for beginners, self-made online course, 2021. Video HTML Slides I Slides II
Reviewer Service
Books
随机退化过程与统计建模
A monograph on stochastic degradation processes and statistical modeling, published by Science Press.
R速成: 统计分析和科研数据分析快速上手
Chinese translation of Applied Statistics Using R, focusing on practical statistical analysis and research data workflows in R.
R Markdown 指南
A collaboratively written Chinese guide to R Markdown, reproducible reporting, document generation, and research communication.
论文影响力
科研产出与影响指标
代表论文
目前以第一作者或通讯作者发表 SCI 期刊论文 10 篇，其中包括 3 篇高被引论文。
2026
2026
2026
2025
2025
2025
2024
2023
2023
2021
* 通讯作者
在研工作
Modeling multivariate degradation with time-varying mean-variance dynamics for reliability assessment
Ancha Xu, Hong Yin, Nan Liu, and Liangliang Zhuang*. IISE Transactions, 审稿中。
Online RUL prediction for monotone degradation systems under sensor degradation via recursive estimation
Liangliang Zhuang, Hong Yin, Yizhong Ma, and Ancha Xu*. Naval Research Logistics, 审稿中。
Multi-phase degradation modeling: A review of model structures, statistical inference, and decision support
Liangliang Zhuang, Nan Liu, Di Zhu, and Ancha Xu*. Statistical Theory and Related Fields, 审稿中。
Cost-aware sequential active learning for accelerated degradation test planning with degrading measurement systems
Liangliang Zhuang, Yizhong Ma, and Ancha Xu*。
主持和参与项目
主持项目
3
中国博士后科学基金面上资助
2026M7947142026 年 7 月 - 2028 年 6 月
浙江省新苗人才计划
XMS21060492021 年 11 月 - 2022 年 11 月
浙江省教育厅
Y2020442382020 年 1 月 - 2021 年 1 月
参与项目
4
国家自然科学基金面上项目
725712462026 年 1 月 - 2029 年 12 月
浙江省自然科学基金重点项目
LZ24A0100022024 年 1 月 - 2026 年 12 月
浙江省哲学社会科学规划课题
22JCXK09YB2022 年 8 月 - 2024 年 7 月
浙江省哲学社会科学规划一般课题
26HQZZ012YB2024 年 1 月 - 2025 年 12 月
学术报告
Modeling multivariate degradation with time-varying mean-variance dynamics for reliability assessment
reported by Liangliang
- 复杂工程系统可靠性分析与智能运维研讨会暨 ZJUI 青年学者发展论坛，2026.06.06，嘉兴海宁-浙江大学国际联合学院。
- 中国运筹学会可靠性分会 2026 年学术年会，2026.04，北京-北京林业大学。
Multivariate rIG processes with common effects for degradation-based reliability prediction
reported by Liangliang
- 中国现场统计研究会可靠性工程分会 2025 年学术年会，2025.09，陕西-延安。
Modeling two-scale degradation with heterogeneity: A unified random-effects inverse Gaussian framework
reported by Liangliang
- 新加坡国立大学工业系统工程与管理系，2024.12，新加坡。
- 第二十一届中韩双边质量国际会议，2025.08，河南-洛阳。
- 南京航空航天大学经济与管理学院，2025.10，江苏-南京。
- 西北师范大学数学与统计学院，2025.11，online。
Stochastic modeling for two-stage and multivariate degradation process
reported by Prof. Yincai Tang; produced by Liangliang
- 第六届系统可靠性与安全工程国际会议，Keynote Speech，2024.10。
Reparameterized inverse Gaussian process and its applications
reported by Prof. Xu and Liangliang; produced by Liangliang
- 北京理工大学数学与统计学院，2024.08，北京。 reported by Prof. Xu
- 第七届系统可靠性与安全工程国际会议，2025.11。 reported by Liangliang
- 中国运筹学会可靠性分会 2025 年学术年会，2025.12，四川-成都。 reported by Liangliang
- 可靠性之家线上学术报告，2026.03.23。 reported by Liangliang
- 复杂系统可靠性统计分析研讨会，2026.05.23，上海-华东师范大学。 reported by Liangliang
A multivariate Student-t process model for dependent tail-weighted degradation data
reported by Prof. Xu; produced by Liangliang
- 中国运筹学会可靠性分会学术年会，2024.04，四川-成都。
Remaining useful life prediction for two-phase degradation model based on reparameterized inverse Gaussian process
reported by Prof. Xu and Liangliang; produced by Liangliang
- 中国优选法统筹法与经济数学研究会工业工程分会学术交流暨学会年会，2025.09，宁夏-银川。 reported by Liangliang
- 天津大学管理与经济学部，2024.03，天津。
- 北京理工大学管理与经济学院，2024.03，北京。
- 苏州大学数学科学学院，2023.11，江苏-苏州。
- 中国运筹学会可靠性分会年会，优秀论文，2023.12。 reported by Liangliang
Prognostic driven predictive maintenance framework based on Bayesian deep learning
reported by Liangliang
- 中国现场统计研究会可靠性分会学术年会，2023.06。
- 第四届系统可靠性与安全工程国际会议，2022.12。
- 第六届全国统计学博士研究生学术论坛，2022.11。
Other Talks
审稿服务
书籍
随机退化过程与统计建模
围绕随机退化过程、可靠性评估和统计建模方法的专业著作，由科学出版社出版。
R速成: 统计分析和科研数据分析快速上手
翻译 Applied Statistics Using R，面向统计分析、科研数据整理与 R 实操流程。
R Markdown 指南
合作完成的 R Markdown 中文指南，覆盖可重复报告、文档生成与科研沟通。