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04/13/2023
On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence
Large pre-trained models, also known as foundation models (FMs), are tra...
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02/28/2023
WISK: A Workload-aware Learned Index for Spatial Keyword Queries
Spatial objects often come with textual information, such as Points of I...
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01/25/2023
Improving the Inference of Topic Models via Infinite Latent State Replications
In text mining, topic models are a type of probabilistic generative mode...
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11/15/2022
Region Embedding with Intra and Inter-View Contrastive Learning
Unsupervised region representation learning aims to extract dense and ef...
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11/12/2022
Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning
Detecting anomalous trajectories has become an important task in many lo...
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10/14/2022
Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning
Graph attention networks (GATs) are powerful tools for analyzing graph d...
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02/28/2022
Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks
As a fundamental component in location-based services, inferring the rel...
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07/27/2021
Let Trajectories Speak Out the Traffic Bottlenecks
Traffic bottlenecks are a set of road segments that have an unacceptable...
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07/26/2021
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation
Cardinality estimation is a fundamental problem in database systems. To ...
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06/09/2021
Global Context Enhanced Graph Neural Networks for Session-based Recommendation
Session-based recommendation (SBR) is a challenging task, which aims at ...
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03/08/2021
The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data
Learned indices have been proposed to replace classic index structures l...
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12/10/2020
Exploiting Repeated Behavior Pattern and Long-term Item dependency for Session-based Recommendation
Session-based recommendation (SBR) is a challenging task, which aims to ...
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11/20/2020
Exploring Global Information for Session-based Recommendation
Session-based recommendation (SBR) is a challenging task, which aims at ...
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03/25/2020
A Survey on Trajectory Data Management, Analytics, and Learning
Recent advances in sensor and mobile devices have enabled an unprecedent...
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03/05/2020
Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning
Similar trajectory search is a fundamental problem and has been well stu...
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02/28/2019
Interaction-aware Kalman Neural Networks for Trajectory Prediction
Forecasting the motion of surrounding dynamic obstacles (vehicles, bicyc...
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12/17/2018
Representation Learning for Spatial Graphs
Recently, the topic of graph representation learning has received plenty...
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09/05/2018
Hyperbolic Recommender Systems
Many well-established recommender systems are based on representation le...
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04/12/2018
Attention-based Group Recommendation
Recommender systems are widely used in big information-based companies s...
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02/19/2018
Heron Inference for Bayesian Graphical Models
Bayesian graphical models have been shown to be a powerful tool for disc...
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09/26/2017