😎 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 📚✨🔍
-
EMNLP 2025PlanGPT-VL: Enhancing Urban Planning with Domain-Specific Vision-Language Models,
He Zhu, Junyou Su, Minxin Chen, Wen Wang, Yijie Deng, Guanhua Chen, Wenjia Zhang -
CHB 2024Adaptive ubiquitous learning for server deployment and distributed offloading in UAV-enhanced IoV,
Wen Wang, Wenhao Fei, Muhammad Bilal, Xiaolong Xu. -
TCE 2024UAV-Assisted Content Caching for Human-Centric Consumer Applications in IoV,
Wen Wang, Xiaolong Xu, Muhammad Bilal, Maqbool Khan, Yizhou Xing.
🌟 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.