A New Oversampling Method Based on the Classification Contribution Degree. - Zhenhao Jiang; Tingting Pan; Chao Zhang 017; Jie Yang 007 (Symmetry, 2021)

An Attention GRU-XGBoost Model for Stock Market Prediction Strategies. - Zhenhao Jiang (AISS, 2022)

Default Risk Prediction of Enterprises Based on Convolutional Neural Network in the Age of Big Data: Analysis from the Viewpoint of Different Balance Ratios. - Zhe Li 047; Zhenhao Jiang; Xianyou Pan (Complex., 2022)

ESMC: Entire Space Multi-Task Model for Post-Click Conversion Rate via Parameter Constraint. - Zhenhao Jiang; Biao Zeng; Hao Feng; Jin Liu; Jicong Fan 001; Jie Zhang; Jia Jia 006; Ning Hu; Xingyu Chen; Xuguang Lan (CoRR, 2023)

Mobile Supply: The Last Piece of Jigsaw of Recommender System. - Zhenhao Jiang; Biao Zeng; Hao Feng; Jin Liu; Jie Zhang; Jia Jia 006; Ning Hu (CoRR, 2023)

Oversampling method based on GAN for tabular binary classification problems. - Jie Yang 007; Zhenhao Jiang; Tingting Pan; Yueqi Chen; Witold Pedrycz (Intell. Data Anal., 2023)

DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model. - Zhenhao Jiang; Jicong Fan 001 (ICDM, 2024)

Pre-train and Fine-tune: Recommenders as Large Models. - Zhenhao Jiang; Chenghao Chen; Hao Feng; Yu Yang; Jin Liu; Jie Zhang; Jia Jia; Ning Hu (WWW (Companion Volume), 2025)