12 citations · 15 across the 5 of their papers we have counts for
5 papers
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…
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…
MolFM: A Multimodal Molecular Foundation Model
Yizhen Luo, Kai Yang, Massimo Hong +2
Molecular knowledge resides within three different modalities of information sources: molecular structures, biomedical documents, and knowledge bases. Effective incorporation of mo…
Towards Unified AI Drug Discovery with Multiple Knowledge Modalities
Yizhen Luo, Xing Yi Liu, Kai Yang +5
In recent years, AI models that mine intrinsic patterns from molecular structures and protein sequences have shown promise in accelerating drug discovery. However, these methods pa…
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…