Search Results for author:
Found 3 papers, 2 papers with code
MolFM: A Multimodal Molecular Foundation Model
In this study, we introduce MolFM, a multimodal molecular foundation model designed to facilitate joint representation learning from molecular structures, biomedical texts, and knowledge graphs.
Ranked #8 on
Text-based de novo Molecule Generation
on ChEBI-20
Towards Unified AI Drug Discovery with Multiple Knowledge Modalities
In recent years, AI models that mine intrinsic patterns from molecular structures and protein sequences have shown promise in accelerating drug discovery.
Efficient Ensemble for Multimodal Punctuation Restoration using Time-Delay Neural Network
Punctuation restoration plays an essential role in the post-processing procedure of automatic speech recognition, but model efficiency is a key requirement for this task.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
