4 papers
Trajectory Data Management and Mining: A Survey from Deep Learning to the LLM Era
Wei Chen, Yuanshao Zhu, Yanchuan Chang +11
Trajectory computing is a pivotal domain encompassing trajectory data management and mining, garnering widespread attention due to its crucial role in various practical application…
K Nearest Neighbor-Guided Trajectory Similarity Learning
Yanchuan Chang, Xu Cai, Christian S. Jensen +1
Trajectory similarity is fundamental to many spatio-temporal data mining applications. Recent studies propose deep learning models to approximate conventional trajectory similarity…
DualCast: A Model to Disentangle Aperiodic Events from Traffic Series
Xinyu Su, Feng Liu, Yanchuan Chang +3
Traffic forecasting is crucial for transportation systems optimisation. Current models minimise the mean forecasting errors, often favouring periodic events prevalent in the traini…
FlexiReg: Flexible Urban Region Representation Learning
Fengze Sun, Yanchuan Chang, Egemen Tanin +2
The increasing availability of urban data offers new opportunities for learning region representations, which can be used as input to machine learning models for downstream tasks s…