54 citations · 67 across the 8 of their papers we have counts for
8 papers
Region Embedding with Intra and Inter-View Contrastive Learning
Liang Zhang, Cheng Long, Gao Cong
Unsupervised region representation learning aims to extract dense and effective features from unlabeled urban data. While some efforts have been made for solving this problem based…
On Inferring User Socioeconomic Status with Mobility Records
Zheng Wang, Mingrui Liu, Cheng Long +3
When users move in a physical space (e.g., an urban space), they would have some records called mobility records (e.g., trajectories) generated by devices such as mobile phones and…
Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning
Qianru Zhang, Zheng Wang, Cheng Long +5
Detecting anomalous trajectories has become an important task in many location-based applications. While many approaches have been proposed for this task, they suffer from various…
Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks
Yile Chen, Xiucheng Li, Gao Cong +5
As a fundamental component in location-based services, inferring the relationship between points-of-interests (POIs) is very critical for service providers to offer good user exper…
A Reinforcement Learning Based R-Tree for Spatial Data Indexing in Dynamic Environments
Tu Gu, Kaiyu Feng, Gao Cong +3
Learned indices have been proposed to replace classic index structures like B-Tree with machine learning (ML) models. They require to replace both the indices and query processing…
Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning
Zheng Wang, Cheng Long, Gao Cong +1
Similar trajectory search is a fundamental problem and has been well studied over the past two decades. However, the similar subtrajectory search (SimSub) problem, aiming to return…