News

2024

13-Nov-2024: Liangliang awarded the “National Scholarship for PhD Students” (博士研究生国家奖学金) as the top student in the school.
01-Sep-2024: The paper “Multivariate reparameterized inverse Gaussian processes with common effects for degradation-based reliability prediction” authored by Liangliang Zhuang, Ancha Xu*, Guanqi Fang, and Yincai Tang, has been accepted for publication by Journal of Quality Technology.
30-Jul-2024: The paper “A Multivariate Student-t process model for dependent tail-weighted degradation data” authored by Ancha Xu, Guanqi Fang and Liangliang Zhuang*, has been accepted for publication by IISE Transactions.
07-Jul-2024: Liangliang’s Google Scholar citations has reached 100. Congratulations to him on this achievement!
23-Jun-2024: The paper “Remaining useful life prediction for two-phase degradation model based on reparameterized inverse Gaussian process” authored by Liangliang Zhuang, Ancha Xu*, Yijun Wang and Yincai Tang has been accepted for publication by European Journal of Operational Research.
Feb-2024: Our paper “A prognostic driven predictive maintenance framework based on Bayesian deep learning” has become a hot paper!

Dec-2023: Liangliang’s master thesis received the “Zhejiang Provincial Award for Outstanding Practical Achievement by a Professional Degree Graduate” (浙江省专业学位研究生优秀实践成果).
Dec-2023: Liangliang attended The 2023 Annual Meeting of the Reliability Branch of the Chinese Operations Research Society during 11 - 12 Dec 2023, and presented the paper “Remaining useful life prediction for two-phase degradation model based on reparametrized inverse Gaussian process” by Liangliang Zhuang. The paper has received the Excellent Paper Award.
Jul-2023: Liangliang has received funding from the China National Science Foundation and I plan to visit National University of Singapore for one year (Jan 2024 - Jan 2025).
Feb-2023: The paper “A prognostic driven predictive maintenance framework based on Bayesian deep learning” authored by Liangliang Zhuang, Ancha Xu*, and Xiao-Lin Wang* has been accepted for publication by Reliability Engineering & System Safety.

Dec-2022: Liangliang attended The 4th International Conference on System Reliability and Safety Engineering (online) during 15 - 18 Dec 2022, and presented the paper “A prognostic driven predictive maintenance framework based on Bayesian deep learning” by Liangliang Zhuang, Ancha Xu*, and Xiao-Lin Wang*. The paper has received the Best Student Paper Award.
Nov-2022: Liangliang attended The 6th Doctoral Forum on Statistics (online) during 12 - 13 Nov 2022, and presented the paper “A prognostic driven predictive maintenance framework based on Bayesian deep learning” by Liangliang Zhuang, Ancha Xu, and Xiao-Lin Wang. The paper has received the Best Student Paper Award.
Oct-2022: The paper “Data analysis of progressive-stress accelerated life tests with group eﬀects” authored by Liangliang Zhuang, Ancha Xu*, et al., has been accepted for publication by Quality Technology & Quantitative Management.
May-2022: Liangliang has accepted the offer of PhD program at the School of Statistics and Mathematics, Zhejiang Gongshang University, and will begin his studies this fall.
May-2022: Liangliang was honored with the title of “Outstanding Graduate of Zhejiang Province.”
Apr-2022: Liangliang received the “Student Overseas Exchange Scholarship” from Wenzhou University.

Oct-2021 Liangliang Zhuang awarded the “National Scholarship for Postgraduate Students” (硕士研究生国家奖学金).
Jul-2021 Liangliang Zhuang has accepted an offer of appointment of Research Assistant (RA) in the Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, and he will join this fall.
Jun-2021 Liangliang Zhuang’s research project, “Statistical Analysis of Progressive Accelerated Life Testing with Batch Effects,” funded by the Zhejiang Provincial Department of Education (浙江省教育厅科研项目), was successfully completed.
May-2021 Liangliang Zhuang’s project under the Zhejiang Provincial College Student Science and Technology Innovation Program (新苗人才计划), titled “Statistical Analysis of Lifetime Data with Block Effects,” was successfully completed.
Mar-2021: The paper “Product reliability analysis based on heavily censored interval data with batch effects” authored by Liangliang Zhuang, Ancha Xu*, and Jihong Pang has been accepted for publication by Reliability Engineering & System Safety. This is Liangliang’s first SCI paper. Congratulations!

Dec-2020 Liangliang’s team received the “Third Prize in the National Postgraduate Mathematical Modeling Competition” once again.

Dec-2019 Liangliang’s team received the “Third Prize in the National Postgraduate Mathematical Modeling Competition”.