Table of Contents

Our Team
TopicsKG, DB, AI4SE
OfficeRm. 405, CS Bldg.
WebsiteWebsoft research group
E-mailwhu@nju.edu.cn

Introduction

Knowledge Graph (KG) is a programmatic way to model a knowledge domain with the help of subject-matter experts, data interlinking, and machine learning algorithms. Since 2002, our research team has been researching on the knowledge graph technologies, together with the community. We are always looking for highly-motivated and hard-working students. Welcome to contact us for further details!

News

  1. 2026-09-20. Qianxi Xu was awarded Excellent Undergraduate Thesis of Nanjing University.
  2. 2026-09-13. Paper was accepted in SIGMOD 2027 (Round 2).
  3. 2026-08-26. Wei Hu was granted NSF of China General Program.
  4. 2026-08-21. Seven papers were accepted in EMNLP 2026 (two main conference, one industry, and four findings).
  5. 2026-07-17. Paper was accepted in ISWC 2026 (research track).
  6. 2026-05-22. Yuhan Wu and Zhoutian Shao passed master's thesis oral defense!
  7. 2026-05-01. Paper was accepted in IJCAI 2026.
  8. 2026-04-16. Paper was directly accepted in ISSTA 2026.
  9. 2026-04-06. Three papers were accepted in ACL 2026 (one main conference and two findings).
  10. 2026-02-02. Xinyi Wang and Jianhao Chen passed PhD's thesis oral defense!
  11. 2026-02-02. Full paper was accepted in DASFAA 2026.
  12. 2025-12-26. Paper was accepted in ICPC 2026.
  13. 2025-11-08. Three papers were accepted in AAAI 2026.
  14. 2025-11-04. ISWC 2025 paper received Resource Track Spotlight.
  15. 2025-10-09. Jiangsu standard “Requirements for interface and data transmission of diabetes health medical data” was accepted.

Members