Ye Wang

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 7

Top Topics

Machine Learning

Top Venues

Journal of chemical information and modeling

Molecules (Basel, Switzerland)

This page only lists publications with an associated author ORCID identifier.

Publications

Albert Bou, Morgan Thomas, Sebastian Dittert, Carles Navarro, Maciej Majewski, Ye Wang, Shivam Patel, Gary John Tresadern, Mazen Ahmad, Vincent Moens, Woody Sherman, Simone Sciabola, Gianni De Fabritiis
ACEGEN: Reinforcement Learning of Generative Chemical Agents for Drug Discovery. Journal of chemical information and modeling (2024)
Zhonglin Cao, Simone Sciabola, Ye Wang
Large-Scale Pretraining Improves Sample Efficiency of Active Learning-Based Virtual Screening. Journal of chemical information and modeling 64 (6) (2024)
Albert Bou, Morgan Thomas, Sebastian Dittert, Carles Navarro, Maciej Majewski, Ye Wang, Shivam Patel, Gary John Tresadern, Mazen Ahmad, Vincent Moens, Woody Sherman, Simone Sciabola, Gianni De Fabritiis
ACEGEN: Reinforcement Learning of Generative Chemical Agents for Drug Discovery. Journal of chemical information and modeling 64 (15) (2024)
Zhonglin Cao, Simone Sciabola, Ye Wang
Large-Scale Pretraining Improves Sample Efficiency of Active Learning-Based Virtual Screening. Journal of chemical information and modeling 64 (6) (2024)
Zhonglin Cao, Simone Sciabola, Ye Wang
Large-Scale Pretraining Improves Sample Efficiency of Active Learning-Based Virtual Screening. Journal of chemical information and modeling 64 (6) (2024)
Zhonglin Cao, Simone Sciabola, Ye Wang
Large-Scale Pretraining Improves Sample Efficiency of Active Learning-Based Virtual Screening. Journal of chemical information and modeling (2024)
Ye Wang, Honggang Zhao, Simone Sciabola, Wenlu Wang
cMolGPT: A Conditional Generative Pre-Trained Transformer for Target-Specific De Novo Molecular Generation. Molecules (Basel, Switzerland) 28 (11) (2023)