Gao Cong | DeepAI

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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...

5 Gengchen Mai, et al. ∙

∙ 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...

0 Yufan Sheng, et al. ∙

∙ 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...

0 Daniel Rugeles, et al. ∙

∙ 11/15/2022

Region Embedding with Intra and Inter-View Contrastive Learning

Unsupervised region representation learning aims to extract dense and ef...

0 Liang Zhang, et al. ∙

∙ 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...

0 Qianru Zhang, et al. ∙

∙ 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...

0 Tiantian He, et al. ∙

∙ 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...

0 Yile Chen, et al. ∙

∙ 07/27/2021

Let Trajectories Speak Out the Traffic Bottlenecks

Traffic bottlenecks are a set of road segments that have an unacceptable...

0 Hui Luo, et al. ∙

∙ 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 ...

0 Peizhi Wu, et al. ∙

∙ 06/09/2021

Global Context Enhanced Graph Neural Networks for Session-based Recommendation

Session-based recommendation (SBR) is a challenging task, which aims at ...

0 Ziyang Wang, et al. ∙

∙ 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...

0 Tu Gu, et al. ∙

∙ 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 ...

0 Ziyang Wang, et al. ∙

∙ 11/20/2020

Exploring Global Information for Session-based Recommendation

Session-based recommendation (SBR) is a challenging task, which aims at ...

0 Ziyang Wang, et al. ∙

∙ 03/25/2020

A Survey on Trajectory Data Management, Analytics, and Learning

Recent advances in sensor and mobile devices have enabled an unprecedent...

0 Sheng Wang, et al. ∙

∙ 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...

0 Zheng Wang, et al. ∙

∙ 02/28/2019

Interaction-aware Kalman Neural Networks for Trajectory Prediction

Forecasting the motion of surrounding dynamic obstacles (vehicles, bicyc...

0 Ce Ju, et al. ∙

∙ 12/17/2018

Representation Learning for Spatial Graphs

Recently, the topic of graph representation learning has received plenty...

0 Zheng Wang, et al. ∙

∙ 09/05/2018

Hyperbolic Recommender Systems

Many well-established recommender systems are based on representation le...

0 Tran Dang Quang Vinh, et al. ∙

∙ 04/12/2018

Attention-based Group Recommendation

Recommender systems are widely used in big information-based companies s...

0 Tran Dang Quang Vinh, et al. ∙

∙ 02/19/2018

Heron Inference for Bayesian Graphical Models

Bayesian graphical models have been shown to be a powerful tool for disc...

0 Daniel Rugeles, et al. ∙

∙ 09/26/2017

SURGE: Continuous Detection of Bursty Regions Over a Stream of Spatial Objects

With the proliferation of mobile devices and location-based services, co...

0 Kaiyu Feng, et al. ∙