Search Results for author:
Found 4 papers, 0 papers with code
Transformer-Lite: High-efficiency Deployment of Large Language Models on Mobile Phone GPUs
The Large Language Model (LLM) is widely employed for tasks such as intelligent assistants, text summarization, translation, and multi-modality on mobile phones.
Accelerating Discovery of Novel and Bioactive Ligands With Pharmacophore-Informed Generative Models
Deep generative models have gained significant advancements to accelerate drug discovery by generating bioactive chemicals against desired targets.
GBG++: A Fast and Stable Granular Ball Generation Method for Classification
Second, considering the influence of the sample size within the GB on the GB's quality, based on the GBG++ method, an improved GB-based $k$-nearest neighbors algorithm (GB$k$NN++) is presented, which can reduce misclassification at the class boundary.
Deep Learning Model of Dock by Dock Process Significantly Accelerate the Process of Docking-based Virtual Screening
Howerver, a majority of compouds with low docking scores could waste most of the computational resources.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
