Shaorong Chen

According to our database1, Shaorong Chen authored at least 11 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Multi-subgraph fusion: an innovative approach for block matrix graph convolutional networks.
Int. J. Mach. Learn. Cybern., February, 2026

Regressor-guided Diffusion Model for De Novo Peptide Sequencing with Explicit Mass Control.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
A Comprehensive and Systematic Review for Deep Learning-Based De Novo Peptide Sequencing.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Bridging the Gap between Database Search and De Novo Peptide Sequencing with SearchNovo.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
NovoBench: Benchmarking Deep Learning-based De Novo Peptide Sequencing Methods in Proteomics.
CoRR, 2024

AdaNovo: Adaptive \emph{De Novo} Peptide Sequencing with Conditional Mutual Information.
CoRR, 2024

NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

DiscoGNN: A Sample-Efficient Framework for Self-Supervised Graph Representation Learning.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2020
Temporally Correlated Sparsity Based Compressed Sensing of Doubly Selective Sky Wave Channel for High-Frequency OFDM Systems.
Proceedings of the 20th IEEE International Conference on Communication Technology, 2020


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