research

Research Interests

• Generative AI and large langugage models (LLMs)
  • Langugage understanding
  • Language generation
  • Multimodality
• Neuro-symbolic AI
• knowledge graphs
  • Graph representation learning
  • Knowledge extraction from unstructured data (text, images, etc.)

Recent PhD Students

(in reverse chronological order)

• Shilin Qu (2022-): (hyper)graph representation learning, joint supervision with Teresa Wang. [ACM TMM 2024, CoNLL’24, ACL’23]

• Wannita Takerngsaksiri (2022-): Code generation, joint supervision with Kla Tantithamthavorn. [IST 2024]

• Tahsina Hashem (2022-): faithful data-to-text generation, joint supervision with Teresa Wang and Derry Wijaya. [INLG’24, INLG’23]

• Linhao Luo (2021-): Knowledge graphs and LLMs, joint supervision with Shirui Pan and Reza Haffari. [ACL’24, ICLR’24, SIGIR’23]

• Ming Jin (2020-2024): Network representation learning, joint supervision with Shirui Pan. [ICLR’24, IEEE TKDE 2023, IEEE TNNLS 2022, NeurIPS’22, CIKM’21, IJCAI’21]

• Xiao-Yu Guo (2020–2024): Question answering, joint supervision with Reza Haffari. [EMNLP’24#1, EMNLP’24#2, EMNLP’23, ALTA’22, COLING’22, EMNLP’21, COLING’20]

• Tong Wu (2020-2023): Continual & Few-shot relation extraction, Southeast University, joint supervision with Reza Haffari and Guilin Qi (Southeast University). [WWWJ 2023, ACL’23, EMNLP’22, ICLR’22, ACL’21, AAAI’21, EMNLP’20]

• Sheng Bi (2020-2023): Question Generation from text & knowledge, Southeast University, joint supervision with Guilin Qi (Southeast University). [EMNLP’21, ACL’21, COLING’20]

• Tao He (2019–2023): Scene graph generation & Graph representation learning, joint supervision with Lianli Gao (UESTC). [TIP 2023#1, TIP 2023#2, TNNLS 2023, ICCV’21, ECCV’22, IJCAI’20, AAAI’20, IJCAI’19]

• Yuncheng Hua (2018–2021): Cmoplex question answering over knowledge graphs, Southeast University-Monash University joint Graduate School, joint supervision with Guilin Qi (Southeast University). [ISWC’19, IJCAI’20, EMNLP’20, JWS 2019, AAAI’21]

• Bhagya Hettige (2017–2021): Graph representation learning for electronic health record (EHR) analysis, joint supervision with Wray Buntine, Teresa Wang, Suong Le. [ADC’20 (best student paper award), ECAI’20, PAKDD’20]

• Vishwajeet Kumar (2016–2020): Natural-language question generation, IITB-Monash Academy, joint supervision with Ganesh Ramakrishnan (IITB). [AACL-IJCNLP’20, CoNLL’19, EMNLP’19, ISWC’19, PAKDD’18]