CV

Education

South China University of Technology (SCUT), B.Eng. in Data Science and Big Data Technology, Sep. 2023 – Expected Jul. 2027

  • GPA: 3.9/4.0, Major GPA: 91.9/100, Rank: 4/90
  • Key Courses: Deep Learning for Computer Vision, Machine Learning, Computer Architecture, Computer Networks, Data Structures, Database Systems, Python, C++, Calculus I/II, Complex Analysis, Discrete Mathematics
  • Honors: First-Class Academic Scholarship; 2024 “Future Technology Taihu Innovation Award”

Experience

ZeroNLP Laboratory, School of Intelligent Engineering, SCUT
Member (Advisor: Prof. Ziqian Zeng), Mar. 2025 – Present

  • HistoryTruncate: Truncating Historical Information for Vision-Language-Action Models
    • Contributed to the development of a mutual-information-based truncation module for historical context
    • Responsible for manuscript writing, figure design, submission, and rebuttal processes (CVPR 2026 submission, second author)
  • Linear Attention Inference Acceleration via Query-Key Similarity
    • Conducted research on similarity-based compression strategies for Query and Key
    • Drafted technical disclosure and documentation for patent application (primary author)

LLM-based Intelligent Q&A System for Laboratories, Public Basic Experiment Center, SCUT
Member (Advisor: Prof. Jiali Deng), Apr. 2024 – Apr. 2025

  • Managed domain adaptation and fine-tuning for LLM-based Q&A
  • Generated 500 experimental QA samples and conducted LoRA SFT on Llama-3-8B-Instruct, successfully passing SRP evaluation

Building with LLMs: From Words to Agent, Southeast China University
Team Member, Aug. 2025

  • Built AI-assisted code documentation generator supporting multi-modal inputs and multilingual, multi-style outputs
  • Completed all lectures and labs, receiving full marks and positive evaluation

QBoost-based QUBO Modeling for Binary Classification on Iris Dataset, SCUT
Team Member, Jul. 2025

  • Developed a binary classifier using QBoost and QUBO formulation
  • Achieved superior performance in small-sample and feature-redundant scenarios (First Prize, APMCM 2025)

Skills

  • Programming Languages: Python, C++, R, HTML, CSS
  • Frameworks & Tools: Flask, Vite+Vue, PyTorch, Hugging Face Transformers, Jupyter Notebook
  • Data Analysis & Modeling: Pandas, NumPy, SciPy, QUBO modeling, LoRA fine-tuning
  • Documentation & Collaboration: Academic writing, Overleaf, figure preparation
  • Languages: English (CET-4: 642, CET-6: 602)

Awards & Honors

  • First Prize, Asia-Pacific Mathematical Contest in Modeling (APMCM), 2025
  • First Prize, Contemporary Undergraduate Mathematical Contest in Modeling (CUMCM, Guangdong Division), 2025
  • Third Prize, 19th “Challenge Cup” Extracurricular Academic Science & Technology Competition, SCUT, 2025
  • Second Prize, Future Technology – Baidu Brain Cup Student Science & Technology Competition, 2024
  • First-Class Academic Scholarship & “Future Technology Taihu Innovation Award”, SCUT, 2024