Nanqing Dong

8 papers in the catalog · China

Nanqing Dong: 8 papers in the catalog · China · Shanghai Artificial Intelligence Laboratory · Works on ContraNovo, CrossNovo, RankNovo

Affiliations

• Shanghai Artificial Intelligence Laboratory

Elsewhere

ORCID 0000-0001-5014-1993 · OpenAlex

Papers

• Bidirectional Representations Augmented Autoregressive Biological Sequence Generation (2025, NeurIPS 2025)
• MassNet: billion-scale AI-friendly mass spectral corpus enables robust de novo peptide sequencing (2025, bioRxiv)
• Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing (2025, ICML 2025)
• Distilling Non-Autoregressive Model Knowledge for Autoregressive De Novo Peptide Sequencing (2025, ICLR 2025)
• π-PrimeNovo: an accurate and efficient non-autoregressive deep learning model for de novo peptide sequencing (2025, Nature Communications)
• RankNovo: A Universal Reranking Approach for Robust De Novo Peptide Sequencing (2024, ICLR 2025)
• π-PrimeNovo: an accurate and efficient non-autoregressive deep learning model for de novo peptide sequencing (2024, bioRxiv)
• ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing (2024, AAAI 2024)

Methods and tools

ContraNovo, CrossNovo, RankNovo, RefineNovo, XuanjiNovo, π-PrimeNovo

Co-authors (25)

Ranked by Newman fractional collaboration strength, so a pair on a two-author paper counts for more than a pair on a 50-author consortium paper.

• Siqi Sun strength 0.92, 8 shared
• Xiang Zhang (Shanghai AI Lab) strength 0.92, 8 shared
• Zhiqiang Gao strength 0.92, 8 shared
• Sheng Xu strength 0.84, 7 shared
• Zijie Qiu strength 0.71, 6 shared
• Zhi Jin strength 0.67, 6 shared
• Jiaqi Wei strength 0.66, 5 shared
• Cheng Chang strength 0.26, 3 shared
• Tianze Ling strength 0.26, 3 shared
• Wanli Ouyang strength 0.26, 3 shared
• Boyan Sun strength 0.13, 2 shared
• Guangshuai Wang strength 0.13, 2 shared
• Guibin Wang strength 0.13, 2 shared
• Laks V.S. Lakshmanan strength 0.13, 2 shared
• Leyuan Li strength 0.13, 2 shared
• Muhammad Abdul-Mageed strength 0.13, 2 shared
• Kai Zou strength 0.12, 1 shared
• Jun A strength 0.08, 1 shared
• Pu Liu strength 0.08, 1 shared
• Te Zhang strength 0.08, 1 shared
• Tiannan Guo strength 0.08, 1 shared
• Xiaofan Zhang strength 0.08, 1 shared
• Yamin Deng strength 0.08, 1 shared
• Yi Chen strength 0.08, 1 shared
• Zongxiang Nie strength 0.08, 1 shared

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