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09/15/2023
Uncertainty-Aware Multi-View Visual Semantic Embedding
The key challenge in image-text retrieval is effectively leveraging sema...
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04/06/2020
Forecast Network-Wide Traffic States for Multiple Steps Ahead: A Deep Learning Approach Considering Dynamic Non-Local Spatial Correlation and Non-Stationary Temporal Dependency
Obtaining accurate information about future traffic flows of all links i...
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12/10/2019
Optimizing and accelerating space-time Ripley's K function based on Apache Spark for distributed spatiotemporal point pattern analysis
With increasing point of interest (POI) datasets available with fine-gra...
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04/14/2019
A Hybrid Traffic Speed Forecasting Approach Integrating Wavelet Transform and Motif-based Graph Convolutional Recurrent Neural Network
Traffic forecasting is crucial for urban traffic management and guidance...
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04/05/2018