Scholar
Shuhao Li
Google Scholar ID: lS915b8AAAAJ
Fudan University
Citations & Impact
Citations
62
H-index
4
i10-index
3
Publications
12
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Several papers accepted by KDD 2025, TKDE, CIKM 2024, ICDE 2024, etc. Received multiple honors including CSC National Scholarship for Study Abroad (2025), Fudan–Huawei Scholarship (2024), First-Class Academic Scholarship, Fudan University (2023).
Research Experience
- Focuses on lane-level traffic prediction, spatio-temporal fine-grained forecasting, lightweight traffic pre-training models, and LLMs for intelligent transportation.
Education
- Ph.D. Candidate at the School of Computer Science, Fudan University (2023–present), supervised by Prof. Weidong Yang; M.S. degree from Guangzhou University in June 2023, advised by Prof. Xiaofang Zhou.
Background
- Research interests focus on spatio-temporal data mining and time-series modeling, with applications in intelligent transportation systems (ITS) and beyond. Current work spans regional-, road-, and lane-level traffic prediction, aiming to achieve high-accuracy forecasting to support downstream tasks such as routing, signal control, and tidal lane management. Also explores the integration of large-scale pre-trained models and large language models (LLMs) to improve the scalability, generalization, and multimodal capabilities of traffic forecasting.
Miscellany
- Served as a PC member and invited journal reviewer for several international conferences and journals.
Co-authors