👨‍🏫 About Me

Longlong Lin is an Associate Professor at Southwest University. He received his Ph.D. from Huazhong University of Science and Technology (HUST) in 2022, under the supervision of Prof. Pingpeng Yuan and Prof. Dongxiao Yu. Since 2018, he has been co-supervised by Prof. Rong-Hua Li from Beijing Institute of Technology. His research results are regularly published in top-tier venues (CCF-A) including SIGMOD, VLDB, ICDE, KDD, WWW, TKDE, AAAI, PPoPP, ASPLOS, and DAC.

📧 Open for Collaboration: If you are interested in collaborating or would like to have a chat, please feel free to email me.


🔍 Research Interests

  • LLM-based Graph Analysis (G-RAG, LLM4CD&CS, CD&CS4LLM)
  • Graph Machine Learning (GNN4CD&CS)
  • Graph Clustering (Design Scalable and Provable Graph Clustering Algorithms)
  • Similarity Search (Design Scalable and Provable Similarity Search Algorithms)

📢 招生信息 (Recruitment)

硕士招生: 每年计划招收3-5名硕士研究生。
本科生科研: 长期招收大一/大二优秀本科生(需满足:以发表高水平论文为目的、不过分功利化、不追求短平快)。
未来发展: 优秀本硕学生可推荐至阿里、华为等大厂实习,或国内外 Top 高校深造。

💼 Work Experience


🏆 Academic Services

🏅 Honors

  • Outstanding Reviewer at KDD 2025

🎤 Chairs

📝 Professional Reviews

  • Conferences: SIGMOD, KDD, NeurIPS, WWW, ACM-MM, AAAI, ICMR
  • Journals: ACM-TOIS, IEEE-TKDE, IEEE-TNNLS, IEEE-TSUSC, IEEE-TETCI, Pattern Recognition, Information Fusion, IPM, KBS

📜 专利 (Selected Patents)

状态专利名称
授权一种基于子图电导的社区搜索方法
授权一种电子商务网络中用于商品推荐的社区搜索方法
实审一种基于多模型伪标签生成与结构特征联合优化的图结构增强方法
实审一种基于属性二部图相似性搜索的商品推荐方法
实审一种基于去偏拓扑属性意识的图神经网络训练方法
实审一种基于双向协同增强的商品推荐方法