5 papers
TRACE: Trajectory Recovery with State Propagation Diffusion for Urban Mobility
Jinming Wang, Hai Wang, Hongkai Wen +2
High-quality GPS trajectories are essential for location-based web services and smart city applications, including navigation, ride-sharing and delivery. However, due to low sampli…
Reflection-Driven Self-Improving Language Model Agents for Adaptive RAN Slicing
Yuanhao Li, Haozhe Wang, Geyong Min +2
Adaptive control in AI-native networks remains challenging because tasks such as dynamic Radio Access Network (RAN) slicing require persistent trade-off decisions among spectrum ef…
All Cities are Equal: A Unified Human Mobility Generation Model Enabled by LLMs
Bo Liu, Tong Li, Zhu Xiao +4
Synthetic human mobility generation is gaining traction as an ethical and practical approach to supporting the data needs of intelligent urban systems. Existing methods perform wel…
HALO: Hierarchical Reinforcement Learning for Large-Scale Adaptive Traffic Signal Control
Yaqiao Zhu, Hongkai Wen, Geyong Min +1
Adaptive traffic signal control (ATSC) is essential for mitigating urban congestion in modern smart cities, where traffic infrastructure is evolving into interconnected Web-of-Thin…
TrajWeaver: Trajectory Recovery with State Propagation Diffusion Model
Jinming Wang, Hai Wang, Hongkai Wen +2
With the proliferation of location-aware devices, large amount of trajectories have been generated when agents such as people, vehicles and goods flow around the urban environment.…