22 citations · 123 across the 29 of their papers we have counts for
6 papers · 1 filter
Zero-Shot Human Mobility Forecasting via Large Language Model with Hierarchical Reasoning
Wenyao Li, Ran Zhang, Pengyang Wang +2
Human mobility forecasting is important for applications such as transportation planning, urban management, and personalized recommendations. However, existing methods often fail t…
Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning
Hao Dong, Pengyang Wang, Meng Xiao +3
Temporal Knowledge Graph (TKG) is an extension of traditional Knowledge Graph (KG) that incorporates the dimension of time. Reasoning on TKGs is a crucial task that aims to predict…
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning
Hao Dong, Zhiyuan Ning, Pengyang Wang +4
Temporal knowledge graph (TKG) reasoning aims to predict the future missing facts based on historical information and has gained increasing research interest recently. Lots of work…
Reinforced Imitative Graph Learning for Mobile User Profiling
Dongjie Wang, Pengyang Wang, Yanjie Fu +3
Mobile user profiling refers to the efforts of extracting users' characteristics from mobile activities. In order to capture the dynamic varying of user characteristics for generat…
Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective
Dongjie Wang, Pengyang Wang, Kunpeng Liu +3
In this paper, we study the problem of mobile user profiling, which is a critical component for quantifying users' characteristics in the human mobility modeling pipeline. Human mo…
Reimagining City Configuration: Automated Urban Planning via Adversarial Learning
Dongjie Wang, Yanjie Fu, Pengyang Wang +2
Urban planning refers to the efforts of designing land-use configurations. Effective urban planning can help to mitigate the operational and social vulnerability of a urban system,…