Rui Li

According to our database, Rui Li authored at least 22 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

NextMem: Towards Latent Factual Memory for LLM-based Agents.

Zeyu Zhang, Rui Li, Xiaoyan Zhao, Yang Zhang, Wenjie Wang, Xu Chen, Tat-Seng Chua

CoRR, March, 2026

The Devil Behind Moltbook: Anthropic Safety is Always Vanishing in Self-Evolving AI Societies.

Chenxu Wang, Chaozhuo Li, Songyang Liu, Zejian Chen, Jinyu Hou, Ji Qi, Rui Li, Litian Zhang, Qiwei Ye, Zheng Liu, Xu Chen, Xi Zhang, Philip S. Yu

CoRR, February, 2026

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

CoRR, February, 2026

HAPS: Hierarchical LLM Routing with Joint Architecture and Parameter Search.

Zihang Tian, Rui Li, Jingsen Zhang, Xiaohe Bo, Wei Huo, Xu Chen

CoRR, January, 2026

Explicit v.s. Implicit Memory: Exploring Multi-hop Complex Reasoning Over Personalized Information.

Zeyu Zhang, Yang Zhang, Haoran Tan, Rui Li, Xu Chen

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

A Survey on the Memory Mechanism of Large Language Model-based Agents.

Zeyu Zhang, Quanyu Dai, Xiaohe Bo, Chen Ma, Rui Li, Xu Chen, Jieming Zhu, Zhenhua Dong, Ji-Rong Wen

ACM Trans. Inf. Syst., November, 2025

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

CoRR, September, 2025

Learn to Memorize: Optimizing LLM-based Agents with Adaptive Memory Framework.

Zeyu Zhang, Quanyu Dai, Rui Li, Xiaohe Bo, Xu Chen, Zhenhua Dong

CoRR, August, 2025

MemEngine: A Unified and Modular Library for Developing Advanced Memory of LLM-based Agents.

Zeyu Zhang, Quanyu Dai, Xu Chen, Rui Li, Zhongyang Li, Zhenhua Dong

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants.

Zeyu Zhang, Quanyu Dai, Luyu Chen, Zeren Jiang, Rui Li, Jieming Zhu, Xu Chen, Yi Xie, Zhenhua Dong, Ji-Rong Wen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System.

Zeyu Zhang, Jianxun Lian, Chen Ma, Yaning Qu, Ye Luo, Lei Wang, Rui Li, Xu Chen, Yankai Lin, Le Wu, Xing Xie, Ji-Rong Wen

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing.

Rui Li, Quanyu Dai, Zeyu Zhang, Xu Chen, Zhenhua Dong, Ji-Rong Wen

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Test-Time Training for Graph Neural Networks.

Yiqi Wang, Chaozhuo Li, Jianan Zhao, Rui Li

Proceedings of the Database Systems for Advanced Applications, 2025

2024

Reflective Multi-Agent Collaboration based on Large Language Models.

Xiaohe Bo, Zeyu Zhang, Quanyu Dai, Xueyang Feng, Lei Wang, Rui Li, Xu Chen, Ji-Rong Wen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization.

Rui Li, Chaozhuo Li, Yanming Shen, Zeyu Zhang, Xu Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Learning on Large-scale Text-attributed Graphs via Variational Inference.

Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Test-Time Training for Graph Neural Networks.

Yiqi Wang, Chaozhuo Li, Wei Jin, Rui Li, Jianan Zhao, Jiliang Tang, Xing Xie

CoRR, 2022

A New Perspective on the Effects of Spectrum in Graph Neural Networks.

Mingqi Yang, Yanming Shen, Rui Li, Heng Qi, Qiang Zhang, Baocai Yin

Proceedings of the International Conference on Machine Learning, 2022

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

Proceedings of the International Conference on Machine Learning, 2022

2021

Improving Spectral Graph Convolution for Learning Graph-level Representation.

Mingqi Yang, Rui Li, Yanming Shen, Heng Qi, Baocai Yin

CoRR, 2021