Search Results for author: Liyue Chen

Found 7 papers, 5 papers with code

Efficient User Sequence Learning for Online Services via Compressed Graph Neural Networks

1 code implementation5 Jun 2024 Yucheng Wu, Liyue Chen, Yu Cheng, Shuai Chen, Jinyu Xu, Leye Wang

Learning representations of user behavior sequences is crucial for various online services, such as online fraudulent transaction detection mechanisms.

Representation Learning

A Unified Model for Spatio-Temporal Prediction Queries with Arbitrary Modifiable Areal Units

1 code implementation10 Mar 2024 Liyue Chen, Jiangyi Fang, Tengfei Liu, Shaosheng Cao, Leye Wang

Spatio-Temporal (ST) prediction is crucial for making informed decisions in urban location-based applications like ride-sharing.

UCTB: An Urban Computing Tool Box for Building Spatiotemporal Prediction Services

1 code implementation7 Jun 2023 Jiangyi Fang, Liyue Chen, Di Chai, Yayao Hong, Xiuhuai Xie, Longbiao Chen, Leye Wang

To address these issues, we design and implement a spatiotemporal crowd flow prediction toolbox called UCTB (Urban Computing Tool Box), which integrates multiple spatiotemporal domain knowledge and state-of-the-art models simultaneously.

A Data-driven Region Generation Framework for Spatiotemporal Transportation Service Management

no code implementations5 Jun 2023 Liyue Chen, Jiangyi Fang, Zhe Yu, Yongxin Tong, Shaosheng Cao, Leye Wang

In this paper, we propose RegionGen, a data-driven region generation framework that can specify regions with key characteristics (e. g., good spatial semantic meaning and predictability) by modeling region generation as a multi-objective optimization problem.

Management

Exploring Context Generalizability in Citywide Crowd Mobility Prediction: An Analytic Framework and Benchmark

1 code implementation30 Jun 2021 Liyue Chen, Xiaoxiang Wang, Leye Wang

Contextual features are important data sources for building citywide crowd mobility prediction models.

Benchmarking

Exploring the Generalizability of Spatio-Temporal Traffic Prediction: Meta-Modeling and an Analytic Framework

1 code implementation20 Sep 2020 Leye Wang, Di Chai, Xuanzhe Liu, Liyue Chen, Kai Chen

The Spatio-Temporal Traffic Prediction (STTP) problem is a classical problem with plenty of prior research efforts that benefit from traditional statistical learning and recent deep learning approaches.

Traffic Prediction

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