Jingbo Zhou

Jingbo Zhou

Westlake University Zhejiang University

Hi there! 👋 I am Jingbo Zhou (周靖博), a Ph.D. student at CAIRI, Westlake University and Zhejiang University, advised by Chair Prof. Stan Z. Li (IEEE Fellow). Before Joining Westlake, I received my B.E. degree of Big Data Science and Technology from Jilin University.

My research interest includes Foundation Model and AI4Science, especially in the Computational Biochemistry. If you are interested, feel free to contact me for future collaborations through Email or WeChat.

🔎 Research

“Man is the measure of all things”

a) Foundation Model

  • Graph Foundation Model
  • Multimodal Model

b) AI for Science

  • Computational Biochemistry
  • Artificial Intelligence Virtual Cell


🔥 News

  • 2025.01: 🕶️🕶️🕶️ I serve as a reviewer for NeurIPS 2025.
  • 2025.01: ✨✨✨ Two co-authored paper on RAG boosting denovo peptide sequencing was accepted by ICLR 2025.
  • 2024.12: 🕶️🕶️🕶️ I serve as a reviewer for ICML 2025.
  • 2024.09: ✨✨✨ One co-authored paper on denovo peptide sequencing was accepted by NeurIPS 2024 Workshop AIDrugX (spotlight).
  • 2024.10: 🏆🏆🏆 I am awarded NeurIPS Scholar Award.
  • 2024.09: 🕶️🕶️🕶️ I serve as a reviewer for AISTATS 2025.
  • 2024.09: ✨✨✨ Two papers on de novo peptide sequencing were accepted by NeurIPS 2024.
  • 2024.09: ✨✨✨ One paper on deep GNN was accepted by NeurIPS 2024.
  • 2024.08: 🕶️🕶️🕶️ I serve as a reviewer for ICLR 2025.
  • 2024.05: 🕶️🕶️🕶️ I serve as a reviewer for NeurIPS 2024.
  • 2024.06: 🎓🎓🎓 I obtained a Bachelor of Science degree from Jilin University.
  • 2023.12: 🏆🏆🏆 I received the Wang Xianghao Scholarship (王湘浩奖学金).


📃 Publications

† Equal Contribution

NeurIPS 2024
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NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics
Jingbo Zhou†, Shaorong Chen†, Jun Xia†, Sizhe Liu, Tianze Ling, Wenjie Du, Yue Liu, Jianwei Yin, Stan Z. Li
NeurIPS 2024
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Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module
Jingbo Zhou†, Yixuan Du†, Ruqiong Zhang†, Jun Xia, Zhizhi Yu, Zelin Zang, Di Jin, Carl Yang, Rui Zhang, Stan Z. Li
NeurIPS 2024
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AdaNovo: Adaptive \emph{De Novo} Peptide Sequencing with Conditional Mutual Information
Jun Xia†, Shaorong Chen†, Jingbo Zhou†, Xiaojun Shan, Wenjie Du, Zhangyang Gao, Cheng Tan, Bozhen Hu, Jiangbin Zheng, Stan Z. Li
ICLR 2025
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Bridging the Gap between Database Search and \emph{De Novo} Peptide Sequencing with SearchNovo
Jun Xia†, Sizhe Liu†, Jingbo Zhou†, Shaorong Chen, hongxin xiang, Zicheng Liu, Yue Liu, Stan Z. Li

🔥 NeurIPS 2024 AIDrugX Spotlight

ICLR 2025
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ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing
Shaorong Chen†, Jun Xia†, Jingbo Zhou†, Lecheng Zhang, Zhangyang Gao, Bozhen Hu, Cheng Tan, Wenjie Du, Stan Z. Li
Under Review
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A comprehensive and systematic review for deep learning-based de novo peptide sequencing
Jun Xia†, Jingbo Zhou†, Shaorong Chen†, Tianze Ling†, Stan Z. Li
Preprint
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NodeReg: Mitigating the Imbalance and Distribution Shift Effects in Semi-Supervised Node Classification via Norm Consistency
Shenzhi Yang, Jun Xia, Jingbo Zhou, Xingkai Yao, Xiaofang Zhang

📖 Educations

  • 2024.09 - 2029.06, Ph.D., Engineering College, Westlake University & Zhejiang University, Hangzhou.
  • 2020.09 - 2024.06, Undergraduate, Software College, Jilin Univeristy, Changchun.

💬 Service

Conference Reviewer

  • Reviewer for NeurIPS’2024, 2025
  • Reviewer for ICML’2025
  • Reviewer for ICLR’2025
  • Reviewer for AISTATS’2025

Journal Reviewer

  • Reviewer for TCBB