767 citations · 4.4k across the 70 of their papers we have counts for
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cs.LG2018★ 4 cited
Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining
Ishan Jindal, Zhiwei Qin, Xuewen Chen +2
In this paper, we develop a reinforcement learning (RL) based system to learn an effective policy for carpooling that maximizes transportation efficiency so that fewer cars are req…
cs.LG2018
GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning
Shupeng Gui, Xiangliang Zhang, Shuang Qiu +3
Graph embedding is a central problem in social network analysis and many other applications, aiming to learn the vector representation for each node. While most existing approaches…
cs.LG2018★ 256 cited
Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction
Huaxiu Yao, Fei Wu, Jintao Ke +6
Taxi demand prediction is an important building block to enabling intelligent transportation systems in a smart city. An accurate prediction model can help the city pre-allocate re…