3 papers
cs.LG2026
Causal-Privacy Audit Workflow for Synthetic and Distilled Data in Dropout Support
Hanghang Zheng, Xiwei Zhuang, Zhong Wang +4
Synthetic and distilled student data are increasingly used to enable privacy-conscious learning analytics, yet their suitability for decision-facing institutional support remains u…
cs.LG2026
Class-Imbalanced-Aware Adaptive Dataset Distillation for Scalable Pretrained Model on Credit Scoring
Xia Li, Hanghang Zheng, Xiwei Zhuang +5
The advent of artificial intelligence has significantly enhanced credit scoring technologies. Despite the remarkable efficacy of advanced deep learning models, mainstream adoption…
cs.LG2025
Implementation of an Asymmetric Adjusted Activation Function for Class Imbalance Credit Scoring
Xia Li, Hanghang Zheng, Kunpeng Tao +1
Credit scoring is a systematic approach to evaluate a borrower's probability of default (PD) on a bank loan. The data associated with such scenarios are characteristically imbalanc…