Sequential decomposition and attribution for trajectory forecasting
One-line takeaway for readers skimming listings.
Professional Summary
My research focuses on developing advanced modeling techniques for temporal and spatiotemporal data, with a mission to empower Urban Computing and Autonomous Driving systems. I am dedicated to bridging the gap between raw urban data and intelligent decision-making in future mobility.
Education
PhD
2023-08-26
now
Korea Advanced Institute of Science and Technology (KAIST)
MS
2018-09-01
2021-03-31
Zhejiang University (ZJU)
BS
2014-09-01
2018-05-31
Nanchang University (NCU)
Interests
AI
Transportation
Mobility
Data Science
Spatio-temporal Modeling
Software Engineer
Trajectory Modeling
Data Fusion
Urban Computing
Featured Publications
Enhanced trajectory reconstruction from sparse and noisy GPS data: A progressive chunked transformer approach
Trajectory reconstruction from sparse and noisy GPS data is critical for applications such as urban mobility analysis, transportation planning, and navigation systems. However, …
yonghui-liu
Recent Publications
(2025).
Enhanced trajectory reconstruction from sparse and noisy GPS data: A
progressive chunked transformer approach
.
COMMTR.