Scholar
Sheng Liu
Google Scholar ID: wyLb8FwAAAAJ
KTH Royal Institute of Technology
Citations & Impact
Citations
192
H-index
7
i10-index
7
Publications
16
Co-authors
13
list available
Publications
Resume (English only)
Academic Achievements
- Publications:
- - 'Safeguarding Federated Learning-based Road Condition Classification' accepted by IEEE CNS
- - 'AFM3D: An Asynchronous Federated Meta-learning Framework for Driver Distraction Detection' accepted by IEEE T-ITS
- - 'AiFed: An Adaptive and Integrated Mechanism for Asynchronous Federated Data Mining' accepted by IEEE TKDE
- - 'A Triple-step Asynchronous Federated Learning Mechanism for Client Activation, Interaction Optimization, and Aggregation Enhancement' published in IEEE IoTJ and selected as Shenzhen 3rd Excellent Science & Technology Academic Paper
- - 'FedRC: Representational Consistency Guided Model Uploading Mechanism for Asynchronous Federated Learning' accepted by EAI MobiQuitous
- Awards:
- - Honored as Outstanding Graduate of Sun Yat-sen University in June 2024
- - Received National Scholarship for Postgraduates in October 2023
Research Experience
- Joined the School of Electrical Engineering and Computer Science (EECS) at KTH as a predoctoral researcher in July 2024; Involved in various research projects focusing on federated learning, intelligent transportation, and security & privacy.
Education
- Started PhD studies at KTH Royal Institute of Technology in 2024, supervised by Prof. Panos Papadimitratos; Obtained Master's degree from the School of Intelligent Systems Engineering, Sun Yat-sen University in 2024; Obtained B.Eng. degree from the School of Intelligent Systems Engineering, Sun Yat-sen University in 2021.
Background
- PhD student with research interests in trustworthy AI (e.g., federated learning), intelligent transportation (e.g., autonomous driving), and security and privacy (e.g., data poisoning attacks). Currently pursuing a PhD at KTH Royal Institute of Technology, supervised by Prof. Panos Papadimitratos. Awarded Outstanding Graduate from Sun Yat-sen University.
Miscellany
- Feel free to contact me via email (shengliu@kth.se) or WeChat (nobody-910) for collaboration, discussion, or just to chat!
