Xuan Rao 饶漩

Welcome! I am a PhD candidate at UESTC, where I work on Spatial Temporal, Data Mining, and Reinforcement Learning advised by Shuo Shang.

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My research interests lie in Spatial Temporal and Reinforcement Learning. In particular, I am interested in mining spatial temporal data and robot learning. This includes Traffic Flow Prediction, Next POI recommendation, Reinforcement Learning, and other related deep learning topics.

This paper is the first to study the problem of artist recommendation based on artist relationship, using knowledge graph, self-supervised method, and graph neural networks.

Graph-Flashback shows that spatial-temporal knowledge graph can integrate with existing sequential models to improve the personal recommendation.

FOGS, a novel method that leverages the first-order gradient supervision and learning-based spatial-temporal graph to predict traffic flow.

A survey on existing literature regarding route search and planning.

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