1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 1 cited
MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering
Yizhen Luo, Zikun Nie, Massimo Hong +3
Studying protein mutations within amino acid sequences holds tremendous significance in life sciences. Protein language models (PLMs) have demonstrated strong capabilities in broad…
cs.LG2024
Learning Multi-view Molecular Representations with Structured and Unstructured Knowledge
Yizhen Luo, Kai Yang, Massimo Hong +4
Capturing molecular knowledge with representation learning approaches holds significant potential in vast scientific fields such as chemistry and life science. An effective and gen…
cs.AI2022
Attacks and Faults Injection in Self-Driving Agents on the Carla Simulator -- Experience Report
Niccolò Piazzesi, Massimo Hong, Andrea Ceccarelli
Machine Learning applications are acknowledged at the foundation of autonomous driving, because they are the enabling technology for most driving tasks. However, the inclusion of t…