2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.LG2026
SynQP: A Framework and Metrics for Evaluating the Quality and Privacy Risk of Synthetic Data
Bing Hu, Yixin Li, Asma Bahamyirou +1
The use of synthetic data in health applications raises privacy concerns, yet the lack of open frameworks for privacy evaluations has slowed its adoption. A major challenge is the…
q-bio.QM2025
Domain Knowledge Infused Conditional Generative Models for Accelerating Drug Discovery
Bing Hu, Jong-Hoon Park, Helen Chen +2
The role of Artificial Intelligence (AI) is growing in every stage of drug development. Nevertheless, a major challenge in drug discovery AI remains: Drug pharmacokinetic (PK) and…
cs.LG2024★ 2 cited
Synthetic Data from Diffusion Models Improve Drug Discovery Prediction
Bing Hu, Ashish Saragadam, Anita Layton +1
Artificial intelligence (AI) is increasingly used in every stage of drug development. Continuing breakthroughs in AI-based methods for drug discovery require the creation, improvem…