Welcome! I am a Ph.D. candidate at the School of Computer Science and Technology, University of Science and Technology of China (USTC), and a member of State Key Laboratory of Cognitive Intelligence. My research interest includes knowledge graph, large language models, and natural language processing. Here is my research group.

I am advised by Prof. Qi Liu. Previously, I interned at ByteDance - AI LAB as an algorithm intern. I received my Bachelor degree from USTC in July, 2021, and majored in Computer Science and Technology.

News

2024.11: The homepage is opened!

Publication

(details in Publications )

• OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting. [paper] [code]
  Xukai Liu, Ye Liu, Kai Zhang*, Kehang Wang, Qi Liu, Enhong Chen.
  The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.
• RHGH: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs.[paper] [code]
  Xukai Liu, Kai Zhang*, Ye Liu, Enhong Chen, Zhenya Huang, Linan Yue, Jiaxian Yan.
  Findings of the 61st annual meeting of the Association for Computational Linguistics (ACL-Findings), 2023.
• Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization.[paper] [code]
  Yanghai Zhang, Ye Liu, Shiwei Wu, Kai Zhang*, Xukai Liu, Qi Liu, Enhong Chen.
  Findings of the 62nd annual meeting of the Association for Computational Linguistics (ACL-Findings), 2024.

Honors and Awards

2021, 2022, 2023, 2024: 🏅 Graduate Student First-class Academic Scholarship.

Educations

2021.09 - now, Ph.D. Candidate, University of Science and Technology of China (USTC), Supervisor: Prof. Qi Liu.

2017.09 - 2021.07, B.E., University of Science and Technology of China (USTC).

Internships

2022.11 - 2023.08, ByteDance - AI LAB, Beijing, China.