About Me
Enjun DU is currently an undergraduate student in the Class of 2022 at the School of Cyberspace Science and Technology, Beijing Institute of Technology. His research interests lie in Large Language Models and Data Mining. He is now a Research Assistant at the KiMI Lab, The Hong Kong University of Science and Technology (Guangzhou), working under the supervision of Prof. Yongqi ZHANG. Concurrently, he also serves as a Research Assistant in the lab of Prof. Rong-Hua LI at BIT. Previously, he was a Research Intern in the group of Prof. Zhida QIN, gaining extensive hands-on experience in AI research.
Email: enjundu.cs@gmail.com
I am genuinely eager to connect and collaborate with fellow students at HKUST-GZ!
- AI-Driven Science
- Data-Centric Learning
- Knowledge-Integrated Large Language Models
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:
AI-Driven Science: Leveraging advanced artificial intelligence techniques to tackle complex scientific challenges, this research promotes interdisciplinary innovation and discovery that unveil novel scientific insights.
Data-Centric Learning: Integrating universal graph models with large language models to significantly enhance data quantity, quality, efficiency, and privacy. This approach aims to optimize the robustness and scalability of machine learning systems for real-world applications.
Knowledge-Integrated LLMs: Merging domain-specific knowledge with large language models to fortify their reasoning capabilities and adaptability, ultimately striving to develop more efficient and universally applicable intelligent solutions.
Here are some of my research works. If you have any questions about them or would like to connect and explore new ideas together, I welcome the discussion. Please reach out to collaborate! 😃
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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
- TIST in 2024: ACM Transactions on Intelligent Systems and Technology
- TCSS in 2025: IEEE Transactions on Computational Social Systems
Conferences
- ICML 2025: International Conference on Machine Learning
- ARR 2025: Association for Computational Linguistics Rolling Review
- NeurIPS 2025: Neural Information Processing Systems
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 ideas to share, constructive feedback on my work, or fresh perspectives you’d like to explore together, I would truly appreciate hearing from you.
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.