4 papers
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…
Dataset-Level Metrics Attenuate Non-Determinism: A Fine-Grained Non-Determinism Evaluation in Diffusion Language Models
Zhengyu Fang, Zhimeng Jiang, Huiyuan Chen +5
Diffusion language models (DLMs) have emerged as a promising paradigm for large language models (LLMs), yet the non-deterministic behavior of DLMs remains poorly understood. The ex…
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…
Dual-Modality Representation Learning for Molecular Property Prediction
Anyin Zhao, Zuquan Chen, Zhengyu Fang +2
Molecular property prediction has attracted substantial attention recently. Accurate prediction of drug properties relies heavily on effective molecular representations. The struct…