6 papers
Dynamic Population Distribution Aware Human Trajectory Generation with Diffusion Model
Qingyue Long, Can Rong, Tong Li +1
Human trajectory data is crucial in urban planning, traffic engineering, and public health. However, directly using real-world trajectory data often faces challenges such as privac…
A Global Commuting Origin-Destination Flow Dataset for Urban Sustainable Development
Can Rong, Jingtao Ding, Meng Li +1
Commuting Origin-Destination (OD) flows capture movements of people from residences to workplaces, representing the predominant form of intra-city mobility and serving as a critica…
Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Cities
Can Rong, Xin Zhang, Yanxin Xi +3
Commuting Origin-destination~(OD) flows, capturing daily population mobility of citizens, are vital for sustainable development across cities around the world. However, it is chall…
DiffMove: Group Mobility Tendency Enhanced Trajectory Recovery via Diffusion Model
Qingyue Long, Can Rong, Huandong Wang +2
In the real world, trajectory data is often sparse and incomplete due to low collection frequencies or limited device coverage. Trajectory recovery aims to recover these missing tr…
One Fits All: General Mobility Trajectory Modeling via Masked Conditional Diffusion
Qingyue Long, Can Rong, Huandong Wang +1
Trajectory data play a crucial role in many applications, ranging from network optimization to urban planning. Existing studies on trajectory data are task-specific, and their appl…
A Diffusive Data Augmentation Framework for Reconstruction of Complex Network Evolutionary History
En Xu, Can Rong, Jingtao Ding +1
The evolutionary processes of complex systems contain critical information regarding their functional characteristics. The generation time of edges provides insights into the histo…