🧑‍🎓 About Me

My name is Rui Li. I am currently a third-year PhD candidate in Renmin University of China, supervised by Prof. Xu Chen. Before embarking on my PhD journey, I received my BSc and MSc degrees in Computer Science at Dalian University of Technology, under the guidance of Prof. Yanming Shen. My current research mainly focuses on:

I also maintain a strong interest in GNNs and Knowledge Graphs, particularly their interactions with LLM systems.

🗞️ News

• 🎉 One paper about agent optimization has been accepted by ICLR 2026.
• 🎉🎉 Two papers about LLM memory have been accepted by NeurIPS 2025.
• 🎉 One paper about RAG has been accepted by KDD 2025.
• 🎉 One paper about KG has been accepted by ICML 2024.
• 🎉 One paper about KG has been accepted by ACL 2023.
• 🎉🎉 Two papers about KG and GNN have been accepted by ICML 2022.

🧑‍💻 Internship Experiences

• ByteDance TikTok Soaring Star Talent Intern Program
  Worked on personalized memory system design for Tako.
• Xiaohongshu AI Search
  Worked on multi-agent systems and agentic RL.
• Huawei Noah's Ark Lab Agentic Memory
  Worked on LLM agentic memory and self-bootstrapping retrieval-augmented generation.
• Microsoft Research Asia Graph Learning
  Worked on knowledge representation learning and joint training of GNNs & LMs.

📚 Selected Publications

• Towards Adaptive, Scalable, and Robust Coordination of LLM Agents: A Dynamic Ad-Hoc Networking Perspective
  Rui Li, Zeyu Zhang, Xiaohe Bo, Quanyu Dai, Chaozhuo Li, Feng Wen, Xu Chen
  Under Review 📄 Paper
• Prompt and Parameter Co-Optimization for Large Language Models
  Xiaohe Bo*, Rui Li*, Zexu Sun, Quanyu Dai, Zeyu Zhang, Zihang Tian, Xu Chen, Zhenhua Dong
  ICLR 2026 📄 Paper
• CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension
  Rui Li, Zeyu Zhang, Xiaohe Bo, Zihang Tian, Xu Chen, Quanyu Dai, Zhenhua Dong, Ruiming Tang
  NeurIPS 2025 📄 Paper 💻 Code
• KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing
  Rui Li, Quanyu Dai, Zeyu Zhang, Xu Chen, Zhenhua Dong, Ji-Rong Wen
  KDD 2025 📄 Paper 💻 Code
• Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization
  Rui Li, Chaozhuo Li, Yanming Shen, Zeyu Zhang, Xu Chen
  ICML 2024 📄 Paper 💻 Code
• To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion
  Rui Li, Xu Chen, Chaozhuo Li, Yanming Shen, Jianan Zhao, Yujing Wang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Xing Xie
  ACL 2023 Main Conference 📄 Paper 💻 Code
• HousE: Knowledge Graph Embedding with Householder Parameterization
  Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang
  ICML 2022 📄 Paper 💻 Code
• A New Perspective on the Effects of Spectrum in Graph Neural Networks
  Mingqi Yang, Yanming Shen, Rui Li, Heng Qi, Qiang Zhang, Baocai Yin
  ICML 2022 📄 Paper 💻 Code

🏆 Awards

• Outstanding Innovative Talents Cultivation Programs, 2024-2025.
• Outstanding Master’s Thesis in Liaoning Province, 2023.
• National Scholarship for Postgraduate Students, 2022.
• Outstanding Graduate Student, Dalian University of Technology, 2022.
• Outstanding Undergraduate Graduate, Dalian University of Technology, 2020.
• First-class Academic Scholarship, Dalian University of Technology, 2017-2019.