About Me

I am currently a 4th-year Ph.D. Student at Websoft Research Group at the Department of Computer Science and Technology, Nanjing University, advised by Prof. Wei Hu.

My research interest covers a range of issues: Graph Foundation Model, Knowledge graph, Lifelong Learning, and LLMs.

Education

• PhD, Nanjing University, Department of Computer Science and Technology, advised by Wei Hu (2021 - present)
• Master, Nanjing University of Aeronautics and Astronautics, School of Computer Science and Technology, advised by Jing Li (2018 - 2021)
• Bachelor, China University of Mining and Technology, School of Computer Science and Technology (2014 - 2018)

Recent News

• [2025.02] One 1st-author paper accepted to TKDE’2025!
• [2024.11] Invited by OpenKG to give a talk on KG-ICL at Tongji University!
• [2024.11] Invited by LMG 2024 to show our poster about KG-ICL!
• [2024.11] Awarded the National Scholarship!
• [2024.09] One 1st-author paper accepted to NeurIPS’2024!
• [2024.07] Invited by CCDM 2024 to give a talk on RulePrem.
• [2024.06] One 2nd-author paper accepted to ISWC’2024!
• [2024.05] One 1st-author paper accepted to JCRD’2024!
• [2024.05] One research project (led by me) under the Jiangsu Province Graduate Innovation Program, successfully concluded!

Publications

First-author Papers

• Transfer-and-Fusion: Integrated Link Prediction across Knowledge Graphs
  • Yuanning Cui, Zequn Sun, Wei Hu
  • TKDE’25, CCF推荐A类国际期刊 [Paper|Code]
• A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning
  • Yuanning Cui, Zequn Sun, Wei Hu
  • NeurIPS’24, CCF推荐A类国际会议 [Paper|Code]
• A Pre-trained Universal Knowledge Graph Reasoning Model Based on Rule Prompts
  • Yuanning Cui, Zequn Sun, Wei Hu
  • JCRD’24, CCF推荐A类中文期刊 [Paper|Code]
• Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs
  • Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu
  • AAAI’23, CCF推荐A类国际会议 [Paper|Code]
• Inductive Knowledge Graph Reasoning for Multi-Batch Emerging Entities
  • Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu
  • CIKM’22, CCF推荐B类国际会议 [Paper|Code]
• Duration-HyTE: A Time-Aware Knowledge Representation Learning Method Based on Duration Modeling
  • Yuanning Cui, Jing Li, Li Shen, Yang Shen, Lin Qiao, Jue Bo
  • JCRD’20, CCF推荐A类中文期刊 [Paper|Code]

Second-author Papers

• Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation
  • Zhoutian Shao, Yuanning Cui, Wei Hu
  • ISWC’24, CCF推荐B类国际会议 [Paper|Code]
• Improving Continual Relation Extraction by Distinguishing Analogous Semantics
  • Wenzheng Zhao, Yuanning Cui, Wei Hu
  • ACL’23, CCF推荐A类国际会议 [Paper|Code]
• Lifelong Representation Learning of Multi-sourced Knowledge Graphs via Linked Entity Replay
  • Zequn Sun, Yuanning Cui, Wei Hu
  • JoS’23, CCF推荐A类中文期刊 [paper|Code]
• Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs
  • Yuxin Wang, Yuanning Cui, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu
  • ISWC’22, CCF推荐B类国际会议 [paper|Code]

Under-review Papers

• LanGraph: Synergy of Language and Graph Foundation Models for Generalized Knowledge Graph Question Answering
  • Yuanning Cui, Zequn Sun, Zhoutian Shao, Yang Liu, Wei Hu
  • ACL’25在审, CCF推荐A类国际会议

Presentations

• A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning
  • NeurIPS’24 poster presentation, Vancouver, Canada, December 2024
• CIPS-LGM 2024 Poster Presentation
  • poster presentation, Jiaxing, China, November 2024
• A talk about the KG foundation model KG-ICL
  • OpenKG Ph.D. seminar oral presentation, Shanghai, China, November 2024
• A Pre-trained Universal Knowledge Graph Reasoning Model Based on Rule Prompts
  • CCDM 2024 oral presentation, Taian, China, July 2024
• A talk about dynamic KG representation learning
  • OpenKG Ph.D. seminar oral presentation, Nanjing, China, September 2023
• Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs
  • AAAI’23 oral presentation (virtual event), Washington, DC, USA, February 2023
• CIPS Pre-Conference Presentation for AAAI’23
  • oral presentation (virtual event), Beijing China, January 2023
• Inductive Knowledge Graph Reasoning for Multi-Batch Emerging Entities
  • CIKM’22 oral presentation (virtual event), Atlanta, GA, USA, October 2022

Awards

• National Scholarship for Ph.D. Students, Nanjing University (2024) ￥30,000
• 1st-Class Academic Scholarship for Graduate Students, Nanjing University (2023) ￥12,000
• Special Scholarship from NARI, Nanjing University (2023) ￥8,000
• 1st-Class Academic Scholarship for Graduate Students, Nanjing University (2022) ￥10,000
• 1st-class Graduate Scholarship for Outstanding Talent, Nanjing University (2022) ￥5,000
• Huawei Special Scholarship, NUAA (2020) ￥8,000
• 1st-Class Academic Scholarship for Graduate Students, NUAA (2019 & 2020) ￥10,000
• Merit Student Award Winners, NUAA (2019 & 2020)
• Outstanding Individual in Research and Innovation, NUAA (2019 & 2020)

Project

• Jiangsu Province Graduate Innovation Program (2023 - 2024)
  • Title: Lifelong Representation Learning for Growing Knowledge Graphs
  • Role: Project Lead
  • Description: This project aims to develop a lifelong representation learning framework for growing knowledge graphs, which can effectively capture the dynamic changes of entities and relations in the knowledge graph.

PC Member & Reviewer

• Conference: NeurIPS, AAAI, SIGKDD, ACL Rolling Review, ISWC, DASFAA, ESWC, CCKS
• Journal: TKDE, TNNLS, KBS

Teaching

• Spring, 2023 Teaching Assistant, Knowledge Engineering, Nanjing University
• Spring, 2022 Teaching Assistant, Knowledge Engineering, Nanjing University
• Spring, 2019 Teaching Assistant, Programming Language Principles, NUAA