16 citations · 21 across the 5 of their papers we have counts for
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cs.LG2025
Gradient Boosting Decision Tree with LSTM for Investment Prediction
Chang Yu, Fang Liu, Jie Zhu +5
This paper proposes a hybrid framework combining LSTM (Long Short-Term Memory) networks with LightGBM and CatBoost for stock price prediction. The framework processes time-series f…
cs.LG2024★ 2 cited
Enhanced Credit Score Prediction Using Ensemble Deep Learning Model
Qianwen Xing, Chang Yu, Sining Huang +3
In contemporary economic society, credit scores are crucial for every participant. A robust credit evaluation system is essential for the profitability of core businesses such as c…
cs.LG2024★ 2 cited
Advanced User Credit Risk Prediction Model using LightGBM, XGBoost and Tabnet with SMOTEENN
Chang Yu, Yixin Jin, Qianwen Xing +3
Bank credit risk is a significant challenge in modern financial transactions, and the ability to identify qualified credit card holders among a large number of applicants is crucia…