My name is Yang Yang. I am currently a third year PhD student at the Insight Research Ireland Centre for Data Analytics, Data Science Institute, University of Galway, supervised by Prof. Edward Curry. Previously, I received my Master’s degree from the Computer Science department at Nankai University, supervised by Prof. Wei Shen.

My research interests lie in Knowledge Graph, Trustworthy AI, Large Language Models, Agents. You can find my CV here: Yang Yang’s Curriculum Vitae. If you are interested in my work, please feel free to drop me an email.

🔥 News

  • August 2025: 🎉 One paper is accepted by EMNLP 2025!
  • April 2025: 🎉 One book chapter is accepted by Handbook on Neurosymbolic AI and Knowledge Graphs!
  • February 2025: 🎉 One paper is accepted by IEEE Transactions on Knowledge and Data Engineering!
  • April 2024: 🎉 One paper is accepted by TEXT2KG Workshop 2024, co-located with ESWC 2024!
  • December 2023: 🎉 Two papers are accepted by IEEE BigData 2023!
  • September 2023: I join Insight Research Ireland Centre for Data Analytics as a PhD student in Ireland!
  • August 2022: 🎉 One paper is accepted by KDD 2022!
  • March 2021: 🎉 One paper is accepted by IEEE Transactions on Knowledge and Data Engineering!

📝 Publications

(∗ corresponding author)

Trustworthy AI

  • EMNLP 2025. KGE Calibrator: An Efficient Probability Calibration Method of Knowledge Graph Embedding Models for Trustworthy Link Prediction, Yang Yang, Mohan Timilsina, Edward Curry. Code

Knowledge Graph

  • Chapter in Handbook on Neurosymbolic AI and Knowledge Graphs, 2025. Neuro-Symbolic Techniques in Open Knowledge Graph Canonicalization, Yang Yang, Edward Curry. Paper
  • IEEE-TKDE 2025 CMVC+: a Multi-View Clustering Framework for Open Knowledge Base Canonicalization via Contrastive Learning, Yang Yang, Wei Shen*, Junfeng Shu, Yinan Liu, Edward Curry, Guoliang Li. Paper, Code
  • TEXT2KG 2024 Open Knowledge Base Canonicalization: Techniques and Challenges, Yang Yang, Edward Curry. Paper
  • KDD 2022 Multi-View Clustering for Open Knowledge Base Canonicalization, Wei Shen, Yang Yang*, Yinan Liu. Paper, Code

Data Space

  • IEEE-BigData 2023 Enabling Dataspaces Using Foundation Models: Technical, Legal and Ethical Considerations and Future Trends, Mohan Timilsina, Samuele Buosi, Ping Song, Yang Yang, Rafiqul Haque, Edward Curry. Paper
  • IEEE-BigData 2023 Foundation Data Space Models: Bridging the Artificial Intelligence and Data Ecosystems (Vision Paper), Edward Curry, Tarek Zaarour, Yang Yang, Mohan Timilsina, Majjed Al-Qatf, Rafiqul Haque. Paper

Entity Linking

  • IEEE-TKDE 2021 Toward Tweet Entity Linking with Heterogeneous Information Networks, Wei Shen, Yuwei Yin, Yang Yang, Jiawei Han, Jianyong Wang, Xiaojie Yuan. Paper

📖 Educations

💻 Experience

📞 Contact

  • Email: yang.yang@insight-centre.org
  • Address: Insight Research Ireland Centre for Data Analytics, Data Science Institute, University of Galway, Lower Dangan, Galway, H91 AEX4, Ireland.