Research

Publication Impact

Research metrics and achievements

9 SCI journal papers

3 Highly cited papers

3 Working papers

3 Books

7 H-index

453 Total citations

50 GitHub repositories 239 Total stars

Publications

I have published 9 SCI-indexed journal articles as the first or corresponding author, including 3 highly cited papers.

2026

Liangliang Zhuang, Yizhong Ma, Guanqi Fang, and Ancha Xu*

Modeling two-scale degradation with heterogeneity: A unified random-effects inverse Gaussian framework

IISE Transactions, 2026.

PDF Supp Code

2026

Liangliang Zhuang, Yizhong Ma, Jianjun Wang, Rong Pan, and Ancha Xu*

From Statistical Modeling to AI-Integrated Inverse Gaussian Process: A Comprehensive Review for Prognostics and Health Management

Engineering Management, 2026, 13(1): 65.

PDF

2025

Ancha Xu, Renbing Wang, and Liangliang Zhuang*

Strategic integration of adaptive sampling and ensemble techniques in federated learning for aircraft engine remaining useful life prediction

Applied Soft Computing, 175: 113067.

PDF Supp

2025

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, 57(1): 51-67.

PDF Supp Code

2025

Ancha Xu, Guanqi Fang, Liangliang Zhuang* and Cheng Gu

A multivariate Student-t process model for dependent tail-weighted degradation data

IISE Transactions, 57(9): 1071-1087.

PDF Code

2024

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, 319(3): 877-890.

PDF Supp

2023

Liangliang Zhuang, Ancha Xu* and Xiao-Lin Wang*

A prognostic driven predictive maintenance framework based on Bayesian deep learning

Reliability Engineering & System Safety, 234: 109181.

PDF

2023

Liangliang Zhuang and Ancha Xu*

Data analysis of progressive-stress accelerated life tests with group effects

Quality Technology & Quantitative Management, 20(6): 763-783.

PDF

2021

Liangliang Zhuang, Ancha Xu* and Jihong Pang

Product reliability analysis based on heavily censored interval data with batch effects

Reliability Engineering & System Safety, 212: 107622.

PDF

* Corresponding author

Working Papers

Under Review

Data-Driven KNN Modeling for Mixed Data: An Optimized Weighted Distance Approach

Liangliang Zhuang, Gauthier Barbosa*, Zhisheng Ye. Applied Soft Computing, fourth-round review.

Under Review

Modeling Multivariate Degradation with Time-Varying Mean-Variance Dynamics for Reliability Assessment

Ancha Xu and Liangliang Zhuang*. Journal of Quality Technology.

In Preparation

Online RUL Prediction for Monotone Degradation Systems under Sensor Degradation via Recursive Estimation

Liangliang Zhuang and Ancha Xu*.

Talks

Modeling Multivariate Degradation with Time-Varying Mean-Variance Dynamics for Reliability Assessment

reported by Liangliang

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.

Slides

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

Slides Video

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.

Slides

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

Slides

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.

Slides

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