Scholar
Yu Wang
Google Scholar ID: CKZ7eWAAAAAJ
Ph.D. Student, Zhejiang University
Citations & Impact
Citations
106
H-index
6
i10-index
5
Publications
13
Co-authors
5
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Paper 'COLA: Cross-city Mobility Transformer for Human Trajectory Simulation' accepted by WWW 2024
- Paper 'Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation' accepted by IEEE TKDE 2024
- Paper 'Spatiotemporal gated traffic trajectory simulation with semantic-aware graph learning' accepted by Information Fusion 2024
- Co-authored paper 'Intensity and Drivers of Subtypes Interference Between Seasonal Influenza Viruses in Mainland China' published in iScience (Cell Press), 2024
- Preprint 'Adaptive Location Hierarchy Learning for Long-Tailed Mobility Prediction' on arXiv:2505.19965 (2025)
- Paper on safety of quantized LLMs accepted by ICML 2025
- Papers on graph condensation accepted by WWW 2025 and ECML-PKDD 2024
- Paper on holistic semantic mobility learning accepted by AAAI 2025
- Paper on traffic mobility generation accepted by Information Fusion
- Paper on epidemic modeling using mobility data published in iScience (Cell Press)
- Paper on cross-city mobility transfer accepted by WWW 2024
- Paper on knowledge amalgamation accepted by ICONIP 2023
- Paper on online knowledge distillation accepted by CVPR 2023
- Paper on temporal graph neural networks accepted by ICBK 2021
- Awarded the CAST Doctoral Student Special Program of Youth Talent Project in 2024
- Recipient of the BYD Scholarship in 2024
- Recipient of the He Zhijun Scholarship in 2024
- Received the Outstanding Practical Achievement Award of Zhejiang Province in 2024
- Won Third Prize in China National Artificial Intelligence Competition (4/1729) in 2022
Background
- Fifth-year Ph.D. candidate at the College of Computer Science and Technology, Zhejiang University
- Member of the Visual Intelligence and Pattern Analysis (VIPA) Group at the State Key Laboratory of Blockchain and Data Security, Zhejiang University
- Research focuses on AI for Science, particularly spatiotemporal data modeling using graph learning techniques
- Key applications in urban science, including urban planning, disaster management, and epidemic prevention
- Leverages urban mobility data to enhance data-driven decision-making
