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

Jan 26, 2026 Our paper on Conditional Multi-Agent Topology Design has been accepted to ICLR 2026.
Jan 25, 2026 Our paper on KG-enhanced Method for VersiCode has been accepted to DASFAA 2026.
Jan 15, 2026 Our paper on Lifelong Scene Graph Generation has been accepted to Pattern Recognition.
Jan 05, 2026 I will serve as an Area Chair for the ACL ARR January 2026 cycle.
Dec 27, 2025 I will serve as a guest editor for the Knowledge Engineering Review special issue on Memory Augmented LLM Agents. Submissions are very welcome!

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