Jun Xia

10 papers in the catalog · China

Jun Xia: 10 papers in the catalog · China · The Hong Kong University of Science and Technology, The Hong Kong University of Science and Technology (Guangzhou) · Works on AdaNovo, Comprehensive Review of DL-Based De Novo Peptide Sequencing, DiffuNovo

Affiliations

• The Hong Kong University of Science and Technology
• The Hong Kong University of Science and Technology (Guangzhou)
• The Hong Kong University of Science and Technology (Guangzhou) · AIMS Lab
• Westlake University · AI Department, School of Engineering
• Westlake University · School of Engineering

Papers

• MemNovo: Look Back at the Spectrum for Balanced De Novo Peptide Sequencing from Mass Spectrometry (2026, arXiv)
• Regressor-guided Diffusion Model for De Novo Peptide Sequencing with Explicit Mass Control (2026, AAAI 2026)
• A living proteomics benchmark for comprehensive evaluation of deep learning-based de novo peptide sequencing tools (2026, Nature Methods (Registered Report))
• Regressor-guided Diffusion Model for De Novo Peptide Sequencing with Explicit Mass Control (2026, arXiv)
• A Comprehensive and Systematic Review for Deep Learning-Based De Novo Peptide Sequencing (2025, IJCAI 2025)
• Bridging the Gap between Database Search and De Novo Peptide Sequencing with SearchNovo (2025, ICLR 2025)
• ReNovo: Retrieval-Based De Novo Mass Spectrometry Peptide Sequencing (2024, ICLR 2025)
• Bridging the Gap between Database Search and De Novo Peptide Sequencing with SearchNovo (2024, bioRxiv)
• NovoBench: Benchmarking Deep Learning-based De Novo Peptide Sequencing Methods in Proteomics (2024, NeurIPS 2024)
• AdaNovo: Adaptive De Novo Peptide Sequencing with Conditional Mutual Information (2024, ICML 2024)

Methods and tools

AdaNovo, Comprehensive Review of DL-Based De Novo Peptide Sequencing, DiffuNovo, Living proteomics benchmark, MemNovo, NovoBench, ReNovo, SearchNovo

Co-authors (64)

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.

• Jingbo Zhou strength 2.22, 10 shared
• Shaorong Chen strength 1.97, 9 shared
• Stan Z. Li strength 0.97, 7 shared
• Sizhe Liu strength 0.58, 4 shared
• Tianze Ling strength 0.56, 4 shared
• Hongxin Xiang strength 0.54, 3 shared
• Wenjie Du strength 0.42, 3 shared
• Yue Liu strength 0.41, 3 shared
• Zicheng Liu strength 0.29, 2 shared
• Dongxin Lyu strength 0.25, 1 shared
• Yuqiang Li strength 0.25, 1 shared
• Bozhen Hu strength 0.12, 1 shared
• Cheng Tan strength 0.12, 1 shared
• Jianwei Yin strength 0.12, 1 shared
• Lecheng Zhang strength 0.12, 1 shared
• Zhangyang Gao strength 0.12, 1 shared
• Alfred Nilsson strength 0.02, 1 shared
• Baozhen Shan strength 0.02, 1 shared
• Benjamin A. Neely strength 0.02, 1 shared
• Bin Ma strength 0.02, 1 shared
• Ceder Dens strength 0.02, 1 shared
• Charlotte Adams strength 0.02, 1 shared
• Cheng Chang strength 0.02, 1 shared
• Cheng Ge strength 0.02, 1 shared
• Chenyu Yao strength 0.02, 1 shared
• Christian Nix strength 0.02, 1 shared
• Daniela Klaproth-Andrade strength 0.02, 1 shared
• Di Zhang strength 0.02, 1 shared
• Ekapol Chuangsuwanich strength 0.02, 1 shared
• Guillaume Deflandre strength 0.02, 1 shared
• Haipeng Wang strength 0.02, 1 shared
• Haixu Tang strength 0.02, 1 shared
• Jeroen Van Goey strength 0.02, 1 shared
• Joel Lapin strength 0.02, 1 shared
• Julien Gagneur strength 0.02, 1 shared
• Kaiyuan Liu strength 0.02, 1 shared
• Konstantinos Kalogeropoulos strength 0.02, 1 shared
• Laurent Gatto strength 0.02, 1 shared
• Lei Xin strength 0.02, 1 shared
• Lukas Käll strength 0.02, 1 shared

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