Hi! I am a final-year PhD student at Department of Statistics, Zhejiang Gongshang University. I am fortunate to be advised by Professors Ancha Xu and Liping Zhu. I am also a visiting PhD student at National University of Singapore now, supervised by TANG Loon Ching and YE Zhisheng. Here are my CV, Google Scholar, and Researchgate.

Research interests

  • Reliability statistics
  • predictive maintenance for complex systems
  • Bayesian analysis
  • Data visualization and repeatability reporting.

News

  • 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 (Corresponding author), has been accepted for publication by IISE Transactions.

  • 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: I 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, Ancha Xu. The paper has received the Excellent Paper Award.

  • Jul-2023: Received funding from the China National Science Foundation and I plan to visit National University of Singapore for one year (Jan 2024 - Jan 2025).

  • Dec-2022: I 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: I 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.

Education