3 citations · 4 across the 5 of their papers we have counts for
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cs.LG2024★ 3 cited
STLLM-DF: A Spatial-Temporal Large Language Model with Diffusion for Enhanced Multi-Mode Traffic System Forecasting
Zhiqi Shao, Haoning Xi, Haohui Lu +3
The rapid advancement of Intelligent Transportation Systems (ITS) presents challenges, particularly with missing data in multi-modal transportation and the complexity of handling d…
cs.LG2024★ 1 cited
ST-Mamba: Spatial-Temporal Selective State Space Model for Traffic Flow Prediction
Zhiqi Shao, Michael G. H. Bell, Ze Wang +3
Traffic flow prediction, a critical aspect of intelligent transportation systems, has been increasingly popular in the field of artificial intelligence, driven by the availability…
cs.LG2024
ST-MambaSync: The Complement of Mamba and Transformers for Spatial-Temporal in Traffic Flow Prediction
Zhiqi Shao, Xusheng Yao, Ze Wang +1
Accurate traffic flow prediction is crucial for optimizing traffic management, enhancing road safety, and reducing environmental impacts. Existing models face challenges with long…