Scholar
YI YU
Google Scholar ID: LhvFkBoAAAAJ
Young Researcher @ Shanghai AI Lab
Citations & Impact
Citations
233
H-index
9
i10-index
9
Publications
20
Co-authors
2
Resume
Academic Achievements
- Published over 25 peer-reviewed articles in top-tier journals and conferences; research findings have been successfully implemented in urban traffic systems with measurable improvements in city-scale applications; actively contributed to national and municipal research projects; served as a reviewer for prestigious journals and conferences such as IEEE Transactions on Systems, Man and Cybernetics.
Research Experience
- Conducted research on comprehensive urban traffic state evaluation systems during her doctoral studies at Zhejiang University, which were successfully applied in real-world projects. Worked as a visiting scholar at Imperial College London from 2020 to 2022, closely collaborating with Prof. Washington Ochieng.
Education
- PhD in Transportation Engineering from Zhejiang University, supervised by Prof. Dianhai Wang (2017.09-2022.06); Joint PhD at Imperial College London, collaborating with Prof. Washington Ochieng, FREng (2020.12-2021.05); B.S. in Civil Engineering and minor in Law from Zhejiang University (2013.09-2017.06).
Background
- Young Researcher at Shanghai AI Laboratory, specializing in the intersection of Artificial Intelligence and Intelligent Transportation Systems. Passionate about leveraging cutting-edge AI technologies to solve complex urban mobility challenges and ensure the safe, efficient development of smart cities. Research focuses include responsible AI development, multimodal large language models for real-world safety applications, AI-driven optimization of intelligent transportation systems, and multi-agent systems and reinforcement learning for traffic control.
Miscellany
- Her interdisciplinary background allows her to approach transportation challenges from multiple perspectives, fostering innovative solutions that consider technological, legal, and societal implications.