Jiaxi Liu

Bioinformatics · Biomedical AI · Protein Language Models

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School of Life Sciences

Peking University

jiaxi_liu@stu.pku.edu.cn

I am an undergraduate student in Bioinformatics at the School of Life Sciences, Peking University. My research interests include bioinformatics, biomedical AI, protein language models, and efficient inference systems for large models.

I have been involved in research projects on protein large language models, edge-side inference optimization for complex-valued large models, assisted reproduction genetics, and cancer gene expression analysis platforms. Some links and publication artifacts are still placeholders and can be replaced when available.

research interests

  • Protein language models: protein design, function description, supervised fine-tuning, and continued pretraining.
  • Biomedical genomics: multi-source clinical and genomic data integration for assisted reproduction and cancer biology.
  • Efficient AI systems: edge-side inference systems and operator optimization for complex-valued large models.

education

  • B.Sc. in Bioinformatics, School of Life Sciences, Peking University, 2024 - Present.
  • Class monitor of the 2024 Bioinformatics cohort.
  • Comprehensive ranking 1/127 in the School of Life Sciences cohort.

selected experience

  • Yang Lab, School of Computer Science, Peking University, 2026.04 - Present. Edge-side inference system development for complex-valued large models.
  • Yang Lab, School of Computer Science, Peking University, 2025.12 - Present. Protein large language model development.
  • Liu Yungang Lab, School of Life Sciences, Peking University, 2025.10 - Present. Genetic effect localization and clinical-feature analysis across the assisted reproduction cycle.
  • Liu Xiaoyun Group, School of Life Sciences, Peking University, 2024.10 - 2025.05. GEPIA3 cancer gene expression and interaction analysis platform update.

awards

  • Second Prize, Peking University 34th Challenge Cup, 2025.
  • Comprehensive Ranking 1/127, School of Life Sciences, Peking University, 2026.

news

Mar 01, 2026 Started work in Yang Lab on edge-side inference systems for complex-valued large models, including x86 IFAIRY64 vecdot operator optimization.
Nov 15, 2025 Won Second Prize in the Peking University 34th Challenge Cup for a project on genetic effect localization across the assisted reproduction cycle.

selected publications

  1. Systems
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    Edge-Side Inference System Development for Complex-Valued Large Models
    Jiaxi Liu, Alice Collaborator, and Bob Advisor
    In Research Project, Yang Lab, Peking University, 2026
  2. NAR
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    GEPIA3: Gene Expression and Interaction Analysis Platform Update
    Jiaxi Liu and Collaborators
    Nucleic Acids Research, 2025
  3. Award
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    Genetic Effect Localization Across the Assisted Reproduction Cycle
    Jiaxi Liu and Collaborators
    2025