Yuhan Li

According to our database, Yuhan Li authored at least 25 papers between 2022 and 2026.

Collaborative distances:

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

2026

Unlocking the Potentials of Retrieval-Augmented Generation for Diffusion Language Models.

Chuanyue Yu, Jiahui Wang, Yuhan Li, Heng Chang, Ge Lan, Qingyun Sun, Jia Li, Jianxin Li, Ziwei Zhang

CoRR, January, 2026

GraphRAG-R1: Graph Retrieval-Augmented Generation with Process-Constrained Reinforcement Learning.

Chuanyue Yu, Kuo Zhao, Yuhan Li, Heng Chang, Mingjian Feng, Xiangzhe Jiang, Yufei Sun, Jia Li, Yuzhi Zhang, Qingyun Sun, Jianxin Li, Ziwei Zhang

Proceedings of the ACM Web Conference 2026, 2026

2025

GraphRAG-R1: Graph Retrieval-Augmented Generation with Process-Constrained Reinforcement Learning.

Chuanyue Yu, Kuo Zhao, Yuhan Li, Heng Chang, Mingjian Feng, Xiangzhe Jiang, Yufei Sun, Jia Li, Yuzhi Zhang, Jianxin Li, Ziwei Zhang

CoRR, July, 2025

Can LLMs Alleviate Catastrophic Forgetting in Graph Continual Learning? A Systematic Study.

Ziyang Cheng, Zhixun Li, Yuhan Li, Yixin Song, Kangyi Zhao, Dawei Cheng, Jia Li, Jeffrey Xu Yu

CoRR, May, 2025

LSketch: A label-enabled graph stream sketch toward time-sensitive queries.

Yiling Zeng, Chuanfeng Jian, Chunyao Song, Tingjian Ge, Yuhan Li, Yuqing Zhou

Inf. Sci., 2025

G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation.

Yuhan Li, Xinni Zhang, Linhao Luo, Heng Chang, Yuxiang Ren, Irwin King, Jia Li

Proceedings of the ACM on Web Conference 2025, 2025

Advancing Graph Foundation Models: A Data-Centric Perspective.

Yuhan Li, Yuyao Wang, Jianheng Tang, Heng Chang, Yuxiang Ren, Jia Li

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

GCoder: Improving Large Language Model for Generalized Graph Reasoning.

Qifan Zhang, Xiaobin Hong, Jianheng Tang, Nuo Chen, Yuhan Li, Wenzhong Li, Jing Tang, Jia Li

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps.

Jiashun Cheng, Aochuan Chen, Nuo Chen, Ziqi Gao, Yuhan Li, Jia Li, Fugee Tsung

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

GCoder: Improving Large Language Model for Generalized Graph Problem Solving.

Qifan Zhang, Xiaobin Hong, Jianheng Tang, Nuo Chen, Yuhan Li, Wenzhong Li, Jing Tang, Jia Li

CoRR, 2024

GraphArena: Benchmarking Large Language Models on Graph Computational Problems.

Jianheng Tang, Qifan Zhang, Yuhan Li, Jia Li

CoRR, 2024

GraphWiz: An Instruction-Following Language Model for Graph Problems.

Nuo Chen, Yuhan Li, Jianheng Tang, Jia Li

CoRR, 2024

GLBench: A Comprehensive Benchmark for Graph with Large Language Models.

Yuhan Li, Peisong Wang, Xiao Zhu, Aochuan Chen, Haiyun Jiang, Deng Cai, Wai Kin (Victor) Chan, Jia Li

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

Graph Intelligence with Large Language Models and Prompt Learning.

Jia Li, Xiangguo Sun, Yuhan Li, Zhixun Li, Hong Cheng, Jeffrey Xu Yu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs.

Yuhan Li, Peisong Wang, Zhixun Li, Jeffrey Xu Yu, Jia Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

GraphWiz: An Instruction-Following Language Model for Graph Computational Problems.

Nuo Chen, Yuhan Li, Jianheng Tang, Jia Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Survey of Graph Meets Large Language Model: Progress and Future Directions.

Yuhan Li, Zhixun Li, Peisong Wang, Jia Li, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Learning Entity Linking Features for Emerging Entities.

Chenwei Ran, Wei Shen, Jianbo Gao, Yuhan Li, Jianyong Wang, Yantao Jia

IEEE Trans. Knowl. Data Eng., July, 2023

Entity Linking Meets Deep Learning: Techniques and Solutions.

Wei Shen, Yuhan Li, Yinan Liu, Jiawei Han, Jianyong Wang, Xiaojie Yuan

IEEE Trans. Knowl. Data Eng., March, 2023

Unlocking Science: Novel Dataset and Benchmark for Cross-Modality Scientific Information Extraction.

Yuhan Li, Jian Wu, Zhiwei Yu, Börje F. Karlsson, Wei Shen, Manabu Okumura, Chin-Yew Lin

CoRR, 2023

LSketch: A Label-Enabled Graph Stream Sketch Toward Time-Sensitive Queries.

Yiling Zeng, Chunyao Song, Yuhan Li, Tingjian Ge

CoRR, 2023

Large Language Models Meet Harry Potter: A Dataset for Aligning Dialogue Agents with Characters.

Nuo Chen, Yan Wang, Haiyun Jiang, Deng Cai, Yuhan Li, Ziyang Chen, Longyue Wang, Jia Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Bases.

Yiheng Shu, Zhiwei Yu, Yuhan Li, Börje F. Karlsson, Tingting Ma, Yuzhong Qu, Chin-Yew Lin

CoRR, 2022

Community Question Answering Entity Linking via Leveraging Auxiliary Data.

Yuhan Li, Wei Shen, Jianbo Gao, Yadong Wang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Base.

Yiheng Shu, Zhiwei Yu, Yuhan Li, Börje F. Karlsson, Tingting Ma, Yuzhong Qu, Chin-Yew Lin

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022