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Papers
Regressor-guided Diffusion Model for De Novo Peptide Sequencing with Explicit Mass Control
AAAI 2026
A Comprehensive and Systematic Review for Deep Learning-Based De Novo Peptide Sequencing
IJCAI 2025
Bridging the Gap between Database Search and \emph{De Novo} Peptide Sequencing with SearchNovo
ICLR 2025
ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing
ICLR 2025
AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases
NeurIPS 2024
ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing
AAAI 2024
NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics
NeurIPS 2024
PROSPECT PTMs: Rich Labeled Tandem Mass Spectrometry Dataset of Modified Peptides for Machine Learning in Proteomics
NeurIPS 2024
De novo mass spectrometry peptide sequencing with a transformer model
ICML 2022
Improving Tandem Mass Spectra Analysis with Hierarchical Learning
IJCAI 2020