43 citations · 61 across the 22 of their papers we have counts for
4 papers · 1 filter
Preferential Multi-Objective Bayesian Optimization for Drug Discovery
Tai Dang, Long-Hung Pham, Sang T. Truong +6
Despite decades of advancements in automated ligand screening, large-scale drug discovery remains resource-intensive and requires post-processing hit selection, a step where chemis…
UniAdapt: A Universal Adapter for Knowledge Calibration
Tai D. Nguyen, Long H. Pham, Jun Sun
Large Language Models (LLMs) require frequent updates to correct errors and keep pace with continuously evolving knowledge in a timely and effective manner. Recent research in it m…
Certified Continual Learning for Neural Network Regression
Long H. Pham, Jun Sun
On the one hand, there has been considerable progress on neural network verification in recent years, which makes certifying neural networks a possibility. On the other hand, neura…
SOCRATES: Towards a Unified Platform for Neural Network Analysis
Long H. Pham, Jiaying Li, Jun Sun
Studies show that neural networks, not unlike traditional programs, are subject to bugs, e.g., adversarial samples that cause classification errors and discriminatory instances tha…