Tao Guo

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The Hong Kong Polytechnic University, Hung Hom, Kowloon

Hong Kong

:e-mail: cocotao.guo AT connect.polyu.hk

Google Scholar : click me

Thank you for stopping by. :notes:

Tao Guo was a member of the Pervasive Edge Intelligence Lab at The Hong Kong Polytechnic University (PEILab), directed by Prof. Song Guo. She obtained her Ph.D. degree in Computer Science from The Hong Kong Polytechnic University in 2024. Prior to that, she obtained her B.E. degree from Huazhong University of Science and Technology in 2017, and M.S. degree from Columbia University in the City of New York in 2019. Her research interests mainly lie in Edge Learning, Federated Learning, Trustworthy Machine Learning and Large Vision-Language Models. She published papers in top venues like WWW, ATC, NeurIPS, TMC, etc.

I am currently an assitant professor at Shenzhen University.

Graduate and undergraduate students interested in the research directions mentioned above are welcome to join us. Please send your resume, transcript, and any relevant representative works (if any) to cocogt@szu.edu.cn :sparkles:

Selected publications

2024

  1. TMC
    Explore and Cure: Unveiling Sample Effectiveness with Context-Aware Federated Prompt Tuning
    Tao Guo, Song Guo, and Junxiao Wang
    IEEE Transactions on Mobile Computing, 2024
  2. WWW
    Poisoning Attack on Federated Knowledge Graph Embedding
    Enyuan Zhou, Song Guo, Zhixiu Ma, and 3 more authors
    Proceedings of the ACM Web Conference, 2024

2023

  1. TMC
    Promptfl: Let federated participants cooperatively learn prompts instead of models-federated learning in age of foundation model
    Tao Guo, Song Guo, Junxiao Wang, and 2 more authors
    IEEE Transactions on Mobile Computing, 2023
  2. WWW
    pFedPrompt: Learning Personalized Prompt for Vision-Language Models in Federated Learning
    Tao Guo, Song Guo, and Junxiao Wang
    Proceedings of the ACM Web Conference, 2023
  3. TMC
    Tree Learning: Towards Promoting Coordination in Scalable Multi-Client Training Acceleration
    Tao Guo, Song Guo, Feijie Wu, and 5 more authors
    IEEE Transactions on Mobile Computing, 2023