3 papers
cs.LG2026
A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective
Zhengyu Fang, Zhimeng Jiang, Huiyuan Chen +4
Diffusion models have shown strong performance in generating high-quality tabular data, but they carry privacy risks by reproducing exact training samples. While prior work focuses…
cs.LG2025
Understanding and Mitigating Memorization in Diffusion Models for Tabular Data
Zhengyu Fang, Zhimeng Jiang, Huiyuan Chen +2
Tabular data generation has attracted significant research interest in recent years, with the tabular diffusion models greatly improving the quality of synthetic data. However, whi…
cs.LG2025
Recent Developments in GNNs for Drug Discovery
Zhengyu Fang, Xiaoge Zhang, Anyin Zhao +3
In this paper, we review recent developments and the role of Graph Neural Networks (GNNs) in computational drug discovery, including molecule generation, molecular property predict…