😎 About Me

I am currently a first-year M.S. student in Land and Spatial Planning at the Shenzhen Graduate School of Peking University under the supervision of Prof. Wenjia Zhang in the BSAI lab. I hold a Bachelor’s degree in Software Engineering from the School of Software, Nanjing University of Information Science & Technology, where I completed my undergraduate studies under the supervision of Prof. Xiaolong Xu in the Loong lab.

My research interests include:

  • Large Language Model Agents: applications in scientific research, deep research, reasoning enhancement;
  • LLM Memory: LLM Editing, Unlearning and Steering;

I am actively seeking research or engineering internship opportunities in Shenzhen, with immediate availability. I am particularly interested in work related to LLM agents, supervised fine-tuning (SFT), and reinforcement learning (RL).

📝 Publications 📚✨🔍

🌟 Experience

  • Served as a Reviewer for IEEE ICPADS 2023 (CCF-C).

🎖 Honors and Awards

  • Bachelor’s Degree with Honor(Top 1% of Graduates), Nanjing University of Information Science and Technology

  • ​​University-Level Outstanding Graduation Thesis, First-Class Award​​

📖 Educations

  • 2025.09 - 2028.06 (Expected) Master, SUPD, Peking University
  • 2021.09 - 2025.06 Undergraduate, School of Software, Nanjing University of Information Science & Technology (GPA: 4.1/5.0, Ranking: 1/142)

💻 Internships/Project

  • Shenzhen Marine Promotion Center
    Technical Services for Large Language Models in Project Marine Area Usage Demonstration Reports
    Project Member | Jul 2024 – Dec 2024 | ✅ Completed
    • Developed an LLM-based agent auditing system featuring a modular planner–executor–reviewer architecture.
    • Integrated policy rule encoding, tool-augmented reasoning, and structured output constraints to ensure regulatory compliance.
    • Designed evaluation metrics for compliance accuracy, reasoning consistency, and error detection performance.
  • China Academy of Urban Planning and Design (CUAPD)
    Database Construction, Model Optimization, and Application Development for LLMs in Urban Planning
    Project Member | Sep 2024 – Dec 2024 | ✅ Completed
    • Built an end-to-end RAG pipeline tailored for urban planning domain applications.
    • Optimized document preprocessing, chunking strategy, and selected domain-adapted embedding models.
    • Constructed and tuned a vector database, implemented reranking, and evaluated system on retrieval accuracy and answer faithfulness.