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 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!
Dec 17, 2025 Our paper on Environment-aware Code Generation has been accepted to ICSE 2026.

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