3 citations · 4 across the 6 of their papers we have counts for
7 papers
FERD: Fairness-Enhanced Data-Free Robustness Distillation
Zhengxiao Li, Liming Lu, Xu Zheng +4
Data-Free Robustness Distillation (DFRD) aims to transfer the robustness from the teacher to the student without accessing the training data. While existing methods focus on overal…
Analyzing covariate clustering effects in healthcare cost subgroups: insights and applications for prediction
Zhengxiao Li, Yifan Huang, Yang Cao
Healthcare cost prediction is a challenging task due to the high-dimensionality and high correlation among covariates. Additionally, the skewed, heavy-tailed, and often multi-modal…
Dynamic online prediction model and its application to automobile claim frequency data
Jiakun Jiang, Zhengxiao Li, Liang Yang
Prediction modelling of claim frequency is an important task for pricing and risk management in non-life insurance and needed to be updated frequently with the changes in the insur…
A new class of composite GBII regression models with varying threshold for modelling heavy-tailed data
Zhengxiao Li, Fei Wang, Zhengtang Zhao
The four-parameter generalized beta distribution of the second kind (GBII) has been proposed for modelling insurance losses with heavy-tailed features. The aim of this paper is to…
A new class of copula regression models for modelling multivariate heavy-tailed data
Zhengxiao Li, Jan Beirlant, Liang Yang
A new class of copulas, termed the MGL copula class, is introduced. The new copula originates from extracting the dependence function of the multivariate generalized log-Moyal-gamm…
Risk Loadings in Classification Ratemaking
Liang Yang, Zhengxiao Li, Shengwang Meng
The risk premium of a policy is the sum of the pure premium and the risk loading. In the classification ratemaking process, generalized linear models are usually used to calculate…