Shengnan Guo
Jiangsu Provincial Water Survey & Design Institute (China)(CN)
Publications by Year
Research Areas
Traffic Prediction and Management Techniques, Human Mobility and Location-Based Analysis, Data Management and Algorithms, Transportation Planning and Optimization, Time Series Analysis and Forecasting
Most-Cited Works
- → Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting(2019)2,685 cited
- → Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting(2020)1,423 cited
- → Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting(2021)659 cited
- → Deep Spatial–Temporal 3D Convolutional Neural Networks for Traffic Data Forecasting(2019)437 cited
- → Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction(2021)108 cited
- → CTS-LSTM: LSTM-based neural networks for correlatedtime series prediction(2019)106 cited
- → GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting(2021)93 cited
- → Package Pick-up Route Prediction via Modeling Couriers’ Spatial-Temporal Behaviors(2021)35 cited
- → Pre-Training Time-Aware Location Embeddings from Spatial-Temporal Trajectories(2021)29 cited
- → DeepRoute+: Modeling Couriers’ Spatial-temporal Behaviors and Decision Preferences for Package Pick-up Route Prediction(2022)23 cited