2 citations · 4 across the 4 of their papers we have counts for
4 papers
Multimodal Fusion with Relational Learning for Molecular Property Prediction
Zhengyang Zhou, Yunrui Li, Pengyu Hong +1
Graph based molecular representation learning is essential for accurately predicting molecular properties in drug discovery and materials science; however, it faces significant cha…
Graph Multi-Similarity Learning for Molecular Property Prediction
Hao Xu, Zhengyang Zhou, Pengyu Hong
Enhancing accurate molecular property prediction relies on effective and proficient representation learning. It is crucial to incorporate diverse molecular relationships characteri…
Enhancing Peak Assignment in 13C NMR Spectroscopy: A Novel Approach Using Multimodal Alignment
Hao Xu, Zhengyang Zhou, Pengyu Hong
Nuclear magnetic resonance (NMR) spectroscopy plays an essential role in deciphering molecular structure and dynamic behaviors. While AI-enhanced NMR prediction models hold promise…
Counterpart Fairness -- Addressing Systematic between-group Differences in Fairness Evaluation
Yifei Wang, Zhengyang Zhou, Liqin Wang +4
When using machine learning to aid decision-making, it is critical to ensure that an algorithmic decision is fair and does not discriminate against specific individuals/groups, par…