Enjun Du
Enjun Du

Research Assistant

HKUST

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 are knowledge-integrated large language models and scientific artificial intelligence. Enjun Du is currently a research assistant at KiMI Lab, The Hong Kong University of Science and Technology (Guangzhou), under the supervision of Prof.Yongqi Zhang. Previously, Enjun Du conducted research internships in the research groups of Prof.Zhida Qin and Prof.Ronghua Li at Beijing Institute of Technology. This has given Enjun Du extensive research experience.

I am always dedicated to discussing problems with people who share the same passion for research. If you are interested in my work or would like to explore interesting research ideas with me, please feel free to contact me via my email!

Email: EnjunDu.cs@gmail.com

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Interests
  • Large language model with knowledge integration
  • Graph Neural Networks
  • Recommendation System
Education

  • Bachelor of Cyberspace Science and Technology

    Beijing Institute of Technology

  • Research Assistant in Zandar Qin's Lab

    Beijing Institute of Technology

  • Research Assistant in Ronghua Li's Lab

    Beijing Institute of Technology

  • Research Assistant in KiMI lab

    The Hong Kong University of Science and Technology (Guangzhou)

📚 My Research
My current research interests are in large language models and graph neural networks. 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 😃
Featured Publications
Mixture of Length and Pruning Experts for Knowledge Graphs Reasoning
Recent Publications
Enjun Du, Yongqi Zhang* (2025). Mixture of Length and Pruning Experts for Knowledge Graphs Reasoning. In IJCAI.
Cite Dataset Poster Video Source Document Custom Link
Xufeng Liang, Zhida Qin*, Haoyan Fu, Enjun Du, Haotian He, Tianyu Huang, Chong Zhang (2025). SimDiff: A Simple yet Efficient Diffusion-based Collaborative Filtering Framework. In SIGIR.
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Shixiao Yang, Zhida Qin*, Enjun Du, Haoyan Fu, Haoyao Zhang, Pengzhan Zhou, Tianyu Huang, Gangyi Ding (2024). Causal Disentanglement-Enhanced Diffusion Denoising for Social Recommendation. In TIST.
PDF Cite Code
Shixiao Yang, Zhida Qin*, Enjun Du, Pengzhan Zhou, Tianyu Huang (2024). Dual Social View Enhanced Contrastive Learning for Social Recommendation. In TCSS.
PDF Cite Code Dataset Project Poster Slides Video Source Document DOI
Wenhao Xue, Zhida Qin*, Haoyao Zhang, Shixiao Yang, Enjun Du, Shuang Li, Haoyan Fu, Tianyu Huang, Iohn C.S. Lui (2024). Behavior Habits Enhanced Intention Learning for Session Based Recommendation. In TKDE.
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Recent & Upcoming Talks
Recent News
Example Talk
Example Talk

An example talk using Hugo Blox Builder's Markdown slides feature.

Jun 1, 2030

Mixture of Length and Pruning Experts for Knowledge Graphs Reasoning
Mixture of Length and Pruning Experts for Knowledge Graphs Reasoning

Jan 19, 2025

SimDiff: A Simple yet Efficient Diffusion-based Collaborative Filtering Framework
SimDiff: A Simple yet Efficient Diffusion-based Collaborative Filtering Framework

Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software.

Jan 19, 2025

Causal Disentanglement-Enhanced Diffusion Denoising for Social Recommendation
Causal Disentanglement-Enhanced Diffusion Denoising for Social Recommendation

Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software.

Dec 31, 2024

Dual Social View Enhanced Contrastive Learning for Social Recommendation
Dual Social View Enhanced Contrastive Learning for Social Recommendation

Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software.

Dec 31, 2024

Education

  1. Bachelor of Cyberspace Science and Technology

    Beijing Institute of Technology
    GPA: 90/100 Rank: 8%
    Read Thesis

  2. Research Assistant in Zandar Qin's Lab

    Beijing Institute of Technology
    Supervised by Prof.Zhida Qin

  3. Research Assistant in Ronghua Li's Lab

    Beijing Institute of Technology
    Supervised by Prof.Ronghua Li and Dr.Xunkai Li

  4. Research Assistant in KiMI lab

    The Hong Kong University of Science and Technology (Guangzhou)
    Supervised by Prof.Yongqi Zhang
Skills & Hobbies
Technical Skills
Python
Data Science
Hobbies
Photography
Guitar
Cats
Awards
The first-class scholarship for outstanding students of Beijing Institute of Technology
Beijing Institute of Technology ∙ Present
Four times won the second-class scholarship for outstanding students of Beijing Institute of Technology
Beijing Institute of Technology ∙ Present
First and Second Prizes in Asia-Pacific Mathematical Modeling International
APMCM Organizing Committee ∙ January 2024
International Second Prize in ISCC: Information Security and Countermeasures Contest
China Ordnance Industry Association ∙ June 2024
Languages
100%
English
85%
Chinese