TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Base. - Yiheng Shu; Zhiwei Yu 001; Yuhan Li 001; Börje F. Karlsson; Tingting Ma; Yuzhong Qu; Chin-Yew Lin (EMNLP, 2022)

Community Question Answering Entity Linking via Leveraging Auxiliary Data. - Yuhan Li 001; Wei Shen 004; Jianbo Gao; Yadong Wang (IJCAI, 2022)

TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Bases. - Yiheng Shu; Zhiwei Yu 001; Yuhan Li 001; Börje F. Karlsson; Tingting Ma; Yuzhong Qu; Chin-Yew Lin (CoRR, 2022)

Large Language Models Meet Harry Potter: A Dataset for Aligning Dialogue Agents with Characters. - Nuo Chen 001; Yan Wang 060; Haiyun Jiang; Deng Cai 002; Yuhan Li 001; Ziyang Chen; Longyue Wang; Jia Li 009 (EMNLP (Findings), 2023)

LSketch: A Label-Enabled Graph Stream Sketch Toward Time-Sensitive Queries. - Yiling Zeng; Chunyao Song; Yuhan Li 001; Tingjian Ge (CoRR, 2023)

Unlocking Science: Novel Dataset and Benchmark for Cross-Modality Scientific Information Extraction. - Yuhan Li 001; Jian Wu 037; Zhiwei Yu 001; Börje F. Karlsson; Wei Shen 004; Manabu Okumura; Chin-Yew Lin (CoRR, 2023)

Entity Linking Meets Deep Learning: Techniques and Solutions. - Wei Shen 004; Yuhan Li 001; Yinan Liu 001; Jiawei Han 001; Jianyong Wang 001; Xiaojie Yuan (IEEE Trans. Knowl. Data Eng., 2023)

Learning Entity Linking Features for Emerging Entities. - Chenwei Ran; Wei Shen 004; Jianbo Gao; Yuhan Li 001; Jianyong Wang 001; Yantao Jia (IEEE Trans. Knowl. Data Eng., 2023)

A Survey of Graph Meets Large Language Model: Progress and Future Directions. - Yuhan Li 001; Zhixun Li; Peisong Wang; Jia Li 009; Xiangguo Sun; Hong Cheng 001; Jeffrey Xu Yu (IJCAI, 2024)

GraphWiz: An Instruction-Following Language Model for Graph Computational Problems. - Nuo Chen 001; Yuhan Li 001; Jianheng Tang; Jia Li 009 (KDD, 2024)

ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs. - Yuhan Li 001; Peisong Wang; Zhixun Li; Jeffrey Xu Yu; Jia Li 009 (KDD, 2024)

Graph Intelligence with Large Language Models and Prompt Learning. - Jia Li 009; Xiangguo Sun; Yuhan Li 001; Zhixun Li; Hong Cheng 001; Jeffrey Xu Yu (KDD, 2024)

GLBench: A Comprehensive Benchmark for Graph with Large Language Models. - Yuhan Li 001; Peisong Wang; Xiao Zhu; Aochuan Chen; Haiyun Jiang; Deng Cai 002; Wai Kin (Victor) Chan; Jia Li 009 (NeurIPS, 2024)

GraphWiz: An Instruction-Following Language Model for Graph Problems. - Nuo Chen 001; Yuhan Li 001; Jianheng Tang; Jia Li 009 (CoRR, 2024)

GraphArena: Benchmarking Large Language Models on Graph Computational Problems. - Jianheng Tang; Qifan Zhang; Yuhan Li 001; Jia Li 009 (CoRR, 2024)

Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps. - Jiashun Cheng; Aochuan Chen; Nuo Chen 001; Ziqi Gao; Yuhan Li 001; Jia Li 009; Fugee Tsung (ACL (Findings), 2025)

G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation. - Yuhan Li 001; Xinni Zhang; Linhao Luo; Heng Chang; Yuxiang Ren; Irwin King; Jia Li 009 (WWW, 2025)

LSketch: A label-enabled graph stream sketch toward time-sensitive queries. - Yiling Zeng; Chuanfeng Jian; Chunyao Song; Tingjian Ge; Yuhan Li 001; Yuqing Zhou (Inf. Sci., 2025)

Can LLMs Alleviate Catastrophic Forgetting in Graph Continual Learning? A Systematic Study. - Ziyang Cheng; Zhixun Li; Yuhan Li 001; Yixin Song; Kangyi Zhao; Dawei Cheng; Jia Li 009; Jeffrey Xu Yu (CoRR, 2025)