Tao Guo
The Hong Kong Polytechnic University, Hung Hom, Kowloon
Hong Kong
cocotao.guo AT connect.polyu.hk
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Thank you for stopping by.
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
Selected publications
2024
- TMCExplore and Cure: Unveiling Sample Effectiveness with Context-Aware Federated Prompt TuningIEEE Transactions on Mobile Computing, 2024
- WWWPoisoning Attack on Federated Knowledge Graph EmbeddingProceedings of the ACM Web Conference, 2024
2023
- TMCPromptfl: Let federated participants cooperatively learn prompts instead of models-federated learning in age of foundation modelIEEE Transactions on Mobile Computing, 2023
- WWWpFedPrompt: Learning Personalized Prompt for Vision-Language Models in Federated LearningProceedings of the ACM Web Conference, 2023
- TMCTree Learning: Towards Promoting Coordination in Scalable Multi-Client Training AccelerationIEEE Transactions on Mobile Computing, 2023