107 citations · 136 across the 8 of their papers we have counts for
8 papers
Road Network Metric Learning for Estimated Time of Arrival
Yiwen Sun, Kun Fu, Zheng Wang +2
Recently, deep learning have achieved promising results in Estimated Time of Arrival (ETA), which is considered as predicting the travel time from the origin to the destination alo…
FMA-ETA: Estimating Travel Time Entirely Based on FFN With Attention
Yiwen Sun, Yulu Wang, Kun Fu +4
Estimated time of arrival (ETA) is one of the most important services in intelligent transportation systems and becomes a challenging spatial-temporal (ST) data mining task in rece…
Fusion Recurrent Neural Network
Yiwen Sun, Yulu Wang, Kun Fu +3
Considering deep sequence learning for practical application, two representative RNNs - LSTM and GRU may come to mind first. Nevertheless, is there no chance for other RNNs? Will t…
Constructing Geographic and Long-term Temporal Graph for Traffic Forecasting
Yiwen Sun, Yulu Wang, Kun Fu +3
Traffic forecasting influences various intelligent transportation system (ITS) services and is of great significance for user experience as well as urban traffic control. It is cha…
Neural Network Architecture Optimization through Submodularity and Supermodularity
Junqi Jin, Ziang Yan, Kun Fu +2
Deep learning models' architectures, including depth and width, are key factors influencing models' performance, such as test accuracy and computation time. This paper solves two p…
Optimizing Recurrent Neural Networks Architectures under Time Constraints
Junqi Jin, Ziang Yan, Kun Fu +2
Recurrent neural network (RNN)'s architecture is a key factor influencing its performance. We propose algorithms to optimize hidden sizes under running time constraint. We convert…