Scholar
Tao Guo
Google Scholar ID: MiN1cegAAAAJ
Shenzhen University
Citations & Impact
Citations
393
H-index
5
i10-index
4
Publications
9
Co-authors
0
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- - Published papers in top venues like WWW, ATC, NeurIPS, TMC, etc.
- - For example:
- - Explore and Cure: Unveiling Sample Effectiveness with Context-Aware Federated Prompt Tuning, TMC, 2024
- - Poisoning Attack on Federated Knowledge Graph Embedding, WWW, 2024
- - PromptFL: Let federated participants cooperatively learn prompts instead of models—federated learning in the age of foundation model, TMC, 2023
- - pFedPrompt: Learning Personalized Prompt for Vision-Language Models in Federated Learning, WWW, 2023
- - Tree Learning: Towards Promoting Coordination in Scalable Multi-Client Training Acceleration, TMC, 2023
Research Experience
- - Former member of Pervasive Edge Intelligence Lab (PEILab) at The Hong Kong Polytechnic University
- - Currently an assistant professor at Shenzhen University
Education
- - Ph.D. in Computer Science, The Hong Kong Polytechnic University, 2024, Advisor: Prof. Song Guo
- - M.S., Columbia University in the City of New York, 2019
- - B.E., Huazhong University of Science and Technology, 2017
Background
- Research Interests: Federated Foundation Model, Federated Learning, Large Vision-Language Models, Edge Learning, and Trustworthy Machine Learning.
Miscellany
- Graduate and undergraduate students interested in the research directions mentioned above are welcome to join. Please send your resume, transcript, and any relevant representative works (if any) to cocogt@szu.edu.cn
Co-authors