Tongtong Wu | 吴桐桐


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Hi there :wave:!

I’m a Research Fellow in the Department of Data Science & AI at Monash University. I completed my PhD at Southeast University, co-supervised by Prof. Guilin Qi, Prof. Reza Haffari, and Prof. Yuan-Fang Li.

My research focuses on enabling AI systems to perceive, memorize, reason, and adapt within evolving environments, building on my long-term work in Continual Learning and Knowledge Graphs.


News

Feb 01, 2025 Our paper on LLMs’ Understanding of Knowledge Graphs has been accepted to KBS.
Jan 12, 2025 Our paper on Error Detection in Knowledge Graphs has been accepted to DASFAA 2025.
Dec 13, 2024 I have been invited to give a talk at SEU and NJUPT. I look forward to seeing you there!
Dec 05, 2024 Our position paper on LifeSpan Cognitive Systems has been accepted to TMLR.
Dec 01, 2024 I will be delivering a 3-hour tutorial on Continual Learning with LLMs at EMNLP 2025. Hope to see you there!

Selected Publication

  1. TMLR
    Towards LifeSpan Cognitive Systems
    Yu Wang, Chi Han, Tongtong Wu, Xiaoxin He, Wangchunshu Zhou, Nafis Sadeq, and 6 more authors
    TMLR, 2025
  2. arXiv
    VersiCode: Towards Version-controllable Code Generation
    Tongtong Wu, Weigang Wu, Xingyu Wang, Kang Xu, Suyu Ma, Bo Jiang, and 4 more authors
    CoRR, 2024
  3. arXiv
    Continual Learning for Large Language Models: A Survey
    Tongtong Wu, Linhao Luo, Yuan-Fang Li, Shirui Pan, Thuy-Trang Vu, and Gholamreza Haffari
    CoRR, 2024
  4. EMNLP
    Towards relation extraction from speech
    Tongtong Wu, Guitao Wang, Jinming Zhao, Zhaoran Liu, Guilin Qi, Yuan-Fang Li, and 1 more author
    In Proceedings of EMNLP, 2022
  5. ICLR
    Pretrained Language Model in Continual Learning: A Comparative Study
    Tongtong Wu, Massimo Caccia, Zhuang Li, Yuan-Fang Li, Guilin Qi, and Gholamreza Haffari
    In Preceedings of ICLR, 2022