2 citations · 2 across the 3 of their papers we have counts for
3 papers
q-fin.CP2026
RIDGE: An Autonomous Framework for Validation and Method Discovery in LLM-Generated Option Pricing
Liexin Cheng, Xue Cheng, Shuaiqiang Liu +1
Automated code generation is becoming an important tool in quantitative finance, where large language models can generate option pricing implementations directly from mathematical…
q-fin.CP2025
Fast Learning in Quantitative Finance with Extreme Learning Machine
Liexin Cheng, Xue Cheng, Shuaiqiang Liu
A critical factor in adopting machine learning for time-sensitive financial tasks is computational speed, including model training and inference. This paper demonstrates that a bro…
cs.CE2021★ 2 cited
CatBoost model with synthetic features in application to loan risk assessment of small businesses
Haoxue Wang, Liexin Cheng
Loan risk for small businesses has long been a complex problem worthy of exploring. Predicting the loan risk can benefit entrepreneurship by developing more jobs for the society. C…