知识花园 (Knowledge Garden)

Knowledge Graph 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!

1. 2021-05-02. Two papers were accepted in ACL 2023 conference and findings, respectively.
2. 2023-04-25. Paper was accepted in ICML 2023.
3. 2023-04-20. Paper was accepted in IJCAI 2023.
4. 2023-04-10. Wei Hu was invited as Associate Editor of Transactions on Graph Data and Knowledge.
5. 2023-03-24. Paper was accepted in IEEE Transactions on Neural Networks and Learning Systems.
6. 2023-02-24. Zequn Sun, Jiacheng Huang passed PhD's thesis oral defense!
7. 2023-02-23. Paper was accepted in SIGMOD 2023.
8. 2023-01-25. Long paper was accepted in TheWebConf 2023 (WWW).
9. 2022-12-28. Paper was accepted in Ruan Jian Xue Bao.
10. 2022-11-25. Welcome Prof. Wen Hua from UQ to give an online talk.
11. 2022-11-19. Paper was accepted in AAAI 2023.
12. 2022-09-21. Welcome Prof. Muhao Chen from USC to give an online talk.
13. 2022-09-15. Paper was accepted in NeurIPS 2022.
14. 2022-09-09. Xiaobin Tian was awarded Excellent Undergraduate Thesis of Nanjing University.
15. 2022-08-07. Paper was accepted in IEEE Transactions on Knowledge and Data Engineering.

• Supervisors:
  • Wei Hu
  • Zequn Sun
• PhD candidates:
  • Xiangrong Zhu (2020), Xinyi Wang (2020)
  • Yuanning Cui (2021), Yang Liu (2021)
  • Yi Liu (2022), Xiangyu Liu (2022)
  • Huan Zhang (2023)
• MSE candidates:
  • 2019: Botao Yu, Yuxin Wang
  • 2020: Wei Cheng, Guangyao Li
  • 2021: Honghu Wu, Wenzheng Zhao
  • 2022: Zitao Wang, Xiaobin Tian, Xindi Luo
  • 2023: Yuhan Wu, Zhoutian Shao
• Visiting students:
  • Yiming Deng (School of Artificial Intelligence, MSE candidate, 2022.7– )
• Undergraduates:
  • 2018: Huan Zhang, Shiyu Yang, Bowen Tang, Meng Li
• Alumni:
  • PhDs:
    • Saisai Gong (2019)
    • Jiwei Ding (2022)
    • Zequn Sun (2023)
    • Jiacheng Huang (2023)
  • MSEs:
    • Hang Zhang (2013), Chuanlei Ni (2014), Cunxin Jia (2015)
    • Chengyue Jiang (2016), Honglei Qiu (2017), Hao Zhang (2018)
    • Haoxuan Li (2019), Lingbing Guo (2019), Jiacheng Huang (2019)
    • Ermei Cao (2020), Qingheng Zhang (2020), Xinze Lyu (2020)
    • Difeng Wang (2021), Shengguang Qiu (2021), Chengming Wang (2021)
    • Yao Zhao (2022), Wenzheng Sui (2022), Fengning Gao (2022), Kailong Hao (2022)
    • Yuxin Wang (2023), Botao Yu (2023), Guangyao Li (2023)