Tianze Ling

Statistics

Publications

Citations

100

H-Index

Active since

2020

Affiliations

Shanghai Artificial Intelligence Laboratory(Current)

Fudan University

Tsinghua University

University of British Columbia

Beijing Proteome Research Center

Tianze Ling is an author at Shanghai Artificial Intelligence Laboratory specializing in life sciences, bottom-up proteomics, and mass spectrum interpretation.

ORCID

Publications per year

2020–2025

Publications

Introducing π-HelixNovo for practical large-scale de novo peptide sequencing

Tingpeng Yang, Tianze Ling, Boyan Sun et al. · Briefings in Bioinformatics · 2024 · 33 citations · Full text

Life Sciences, Bioinformatics, Metagenomics +16

π-PrimeNovo: an accurate and efficient non-autoregressive deep learning model for de novo peptide sequencing

Xiang Zhang, Tianze Ling, Zhi Jin et al. · Nature Communications · 2025 · 25 citations · Full text

Life Sciences, Biochemistry, Bioinformatics +16

ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing

Zhi Jin, Sheng Xu, Xiang Zhang et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2024 · 22 citations · Full text

Life Sciences, Bioinformatics, Mass Spectrometric Analysis +16

Systematic analysis to identify transcriptome-wide dysregulation of Alzheimer’s disease in genes and isoforms

Cong Fan, Ken Chen, Jiaxin Zhou et al. · Human Genetics · 2020 · 20 citations

Life Sciences, Genetics, Neuroscience +12

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