Dynamically planning in multi-agent systems has been explored to improve...
Structure prediction tasks such as event extraction require an in-depth
...
The construction and application of knowledge graphs have seen a rapid
i...
We introduce and study a group formation game in which individuals/agent...
Public goods games study the incentives of individuals to contribute to ...
Body-worn cameras are now commonly used for logging daily life, sports, ...
There is often latent network structure in spatial and temporal data and...
We present a generic framework for spatio-temporal (ST) data modeling,
a...
Real-time crime forecasting is important. However, accurate prediction o...
The classification of crime into discrete categories entails a massive l...
We propose a latent self-exciting point process model that describes
geo...