About Me
Enjun DU is currently a Visiting Research Student at the KiMI Lab, The Hong Kong University of Science and Technology (Guangzhou), supervised by Prof. Yongqi ZHANG. He is an undergraduate student at the School of Cyberspace Science and Technology, Beijing Institute of Technology, supervised by Prof. Rong-Hua LI. His research interests lie in Large Language Models and Data Mining.
Email: enjundu.cs@gmail.com
Please feel free to reach out if you are interested in potential collaboration or supervision!
- Graph for LLM
- LLM Reasoning
- Data-Mining
The Hong Kong University of Science and Technology
Visiting Student
Beijing Institute of Technology
Bachelor of Cyberspace Science and Technology
My current research interests are:
Graph for LLM: Graph RAG, Graph-Enhanced LLM
LLM Reasoning: MLLM, RL-LLM
Data Mining: Data-Centric AI, Knowledge Graph Reasoning Here are some of my research works.
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May 26, 2025
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Mar 25, 2025
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Mar 6, 2025
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Mar 3, 2025
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Mar 2, 2025
Jan 19, 2025
- Journals: ACM TIST, IEEE TCSS
- Conferences: ACL ARR, ICML
Education
The Hong Kong University of Science and Technology
Visiting StudentSupervised by Prof.Yongqi ZhangBeijing Institute of Technology
Bachelor of Cyberspace Science and TechnologyGPA: 92.7/100, Rank: 1%Read Thesis
Research Assistant in Ronghua Li’s Lab, supervised by Prof.Ronghua Li and Dr.Xunkai Li from November 2024 to present.
Research Intern in Zhida Qin’s Lab, supervised by Prof.Zhida Qin form September 2023 to December 2025.
The first-class scholarship for outstanding students of Beijing Institute of Technology
Four times won the second-class scholarship for outstanding students of Beijing Institute of Technology
First and Second Prizes in Asia-Pacific Mathematical Modeling International
International Second Prize in ISCC: Information Security and Countermeasures Contest
I genuinely believe that meaningful progress in academia stems from open dialogue and thoughtful debate. If you have any questions about my research–or if you’ve previously contacted me through GitHub issues and haven’t received a response–please feel free to reach out via email. I’m always happy to chat, collaborate, or offer assistance where I can.
Throughout my academic journey, I’ve been fortunate to receive support and inspiration from many generous people. I’m always eager to give back to the community and engage with others passionate about learning and discovery.
That said, I’m not interested in discussions centered around citation counts, publication metrics, or quantitative comparisons between individuals. If your outreach is primarily motivated by such metrics, I kindly ask that you refrain from contacting me. I’m most interested in conversations about meaningful problems, creative solutions, and insightful ideas.
Preferred Email:
Optional Email:
Please avoid contacting me at enjun_du@bit.edu.cn, as I will no longer have access to this address after June 2026.