Xiaolong Xu

APDPk-Means: A New Differential Privacy Clustering Algorithm Based on Arithmetic Progression Privacy Budget Allocation

2019

How to protect users' private data during network data mining has become a hot issue in the fields of big data and network information security. Most current researches on differential privacy k-means clustering algorithms focus …

Over-sampling algorithm for imbalanced data classification

2019 · Journal of Systems Engineering and Electronics

Abstract:

GCFL: A Gradient Correction-based Federated Learning Framework for Privacy-preserving CPSS

2025 · arXiv (Cornell University)

Federated learning, as a distributed architecture, shows great promise for applications in Cyber-Physical-Social Systems (CPSS). In order to mitigate the privacy risks inherent in CPSS, the integration of differential privacy with federated learning has attracted …

IdeFN: Identifying Unclicked Space False Negatives via Relaxed Partial Optimal Transport for Conversion Rate Prediction

2026 · Proceedings of the AAAI Conference on Artificial Intelligence

Accurate conversion rate (CVR) prediction is critical for recommender systems to capture user conversion intent and increase platform revenues. Traditional CVR models commonly suffer from sample selection bias (SSB) and data sparsity (DS), which has …