Rui Li

30 papers A* 5Journal 19Unranked 6
YearRankTypeTitle / Venue / Authors
2026 — conf
Explicit v.s. Implicit Memory: Exploring Multi-hop Complex Reasoning Over Personalized Information.
KDD (1)
Zeyu Zhang, Yang Zhang, Haoran Tan, Rui Li, Xu Chen
2026 J jnl
NextMem: Towards Latent Factual Memory for LLM-based Agents.
CoRR
Zeyu Zhang, Rui Li, Xiaoyan Zhao, Yang Zhang, Wenjie Wang, Xu Chen, Tat-Seng Chua
2026 J jnl
The Devil Behind Moltbook: Anthropic Safety is Always Vanishing in Self-Evolving AI Societies.
CoRR
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
2026 J jnl
Towards Adaptive, Scalable, and Robust Coordination of LLM Agents: A Dynamic Ad-Hoc Networking Perspective.
CoRR
Rui Li, Zeyu Zhang, Xiaohe Bo, Quanyu Dai, Chaozhuo Li, Feng Wen, Xu Chen
2025 J jnl
A Survey on the Memory Mechanism of Large Language Model-based Agents.
ACM Trans. Inf. Syst.
Zeyu Zhang, Quanyu Dai, Xiaohe Bo, Chen Ma, Rui Li, Xu Chen, Jieming Zhu, Zhenhua Dong, Ji-Rong Wen
2025 J jnl
CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension.
CoRR
Rui Li, Zeyu Zhang, Xiaohe Bo, Zihang Tian, Xu Chen, Quanyu Dai, Zhenhua Dong, Ruiming Tang
2025 J jnl
Explicit v.s. Implicit Memory: Exploring Multi-hop Complex Reasoning Over Personalized Information.
CoRR
Zeyu Zhang, Yang Zhang, Haoran Tan, Rui Li, Xu Chen
2025 — conf
KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing.
KDD (2)
Rui Li, Quanyu Dai, Zeyu Zhang, Xu Chen, Zhenhua Dong, Ji-Rong Wen
2025 J jnl
KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing.
CoRR
Rui Li, Quanyu Dai, Zeyu Zhang, Xu Chen, Zhenhua Dong, Ji-Rong Wen
2025 J jnl
Learn to Memorize: Optimizing LLM-based Agents with Adaptive Memory Framework.
CoRR
Zeyu Zhang, Quanyu Dai, Rui Li, Xiaohe Bo, Xu Chen, Zhenhua Dong
2025 — conf
MemEngine: A Unified and Modular Library for Developing Advanced Memory of LLM-based Agents.
WWW (Companion Volume)
Zeyu Zhang, Quanyu Dai, Xu Chen, Rui Li, Zhongyang Li, Zhenhua Dong
2025 J jnl
MemEngine: A Unified and Modular Library for Developing Advanced Memory of LLM-based Agents.
CoRR
Zeyu Zhang, Quanyu Dai, Xu Chen, Rui Li, Zhongyang Li, Zhenhua Dong
2025 J jnl
Prompt and Parameter Co-Optimization for Large Language Models.
CoRR
Xiaohe Bo, Rui Li, Zexu Sun, Quanyu Dai, Zeyu Zhang, Zihang Tian, Xu Chen, Zhenhua Dong
2025 — conf
Test-Time Training for Graph Neural Networks.
DASFAA (3)
Yiqi Wang, Chaozhuo Li, Jianan Zhao, Rui Li
2025 — conf
TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System.
NAACL (Findings)
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
2024 J jnl
A Survey on the Memory Mechanism of Large Language Model based Agents.
CoRR
Zeyu Zhang, Xiaohe Bo, Chen Ma, Rui Li, Xu Chen, Quanyu Dai, Jieming Zhu, Zhenhua Dong, Ji-Rong Wen
2024 A* conf
Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization.
ICML
Rui Li, Chaozhuo Li, Yanming Shen, Zeyu Zhang, Xu Chen
2024 J jnl
Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization.
CoRR
Rui Li, Chaozhuo Li, Yanming Shen, Zeyu Zhang, Xu Chen
2024 J jnl
MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants.
CoRR
Zeyu Zhang, Quanyu Dai, Luyu Chen, Zeren Jiang, Rui Li, Jieming Zhu, Xu Chen, Yi Xie, Zhenhua Dong, Ji-Rong Wen
2024 A* conf
Reflective Multi-Agent Collaboration based on Large Language Models.
NeurIPS
Xiaohe Bo, Zeyu Zhang, Quanyu Dai, Xueyang Feng, Lei Wang, Rui Li, Xu Chen, Ji-Rong Wen
2024 J jnl
TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System.
CoRR
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
2023 A* conf
Learning on Large-scale Text-attributed Graphs via Variational Inference.
ICLR
Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang
2023 — conf
To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion.
ACL (1)
Rui Li, Xu Chen, Chaozhuo Li, Yanming Shen, Jianan Zhao, Yujing Wang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Xing Xie
2023 J jnl
To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion.
CoRR
Rui Li, Xu Chen, Chaozhuo Li, Yanming Shen, Jianan Zhao, Yujing Wang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Xing Xie
2022 A* conf
A New Perspective on the Effects of Spectrum in Graph Neural Networks.
ICML
Mingqi Yang, Yanming Shen, Rui Li, Heng Qi, Qiang Zhang, Baocai Yin
2022 A* conf
HousE: Knowledge Graph Embedding with Householder Parameterization.
ICML
Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang
2022 J jnl
HousE: Knowledge Graph Embedding with Householder Parameterization.
CoRR
Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang
2022 J jnl
Learning on Large-scale Text-attributed Graphs via Variational Inference.
CoRR
Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang
2022 J jnl
Test-Time Training for Graph Neural Networks.
CoRR
Yiqi Wang, Chaozhuo Li, Wei Jin, Rui Li, Jianan Zhao, Jiliang Tang, Xing Xie
2021 J jnl
Improving Spectral Graph Convolution for Learning Graph-level Representation.
CoRR
Mingqi Yang, Rui Li, Yanming Shen, Heng Qi, Baocai Yin