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List of works by Peixiao Wang

<scp>DeepIndoorCrowd</scp>: Predicting <scp>crowd flow</scp> in <scp>indoor shopping malls</scp> with an <scp>interpretable transformer network</scp>

scientific article published on 30 August 2023

A Hybrid Data-Driven Framework for Spatiotemporal Traffic Flow Data Imputation

scientific article published in September 2022

A Hybrid Markov and LSTM Model for Indoor Location Prediction

scientific article published in January 2019

A multi-view bidirectional spatiotemporal graph network for urban traffic flow imputation

scientific article published on 28 February 2022

Adding attention to the neural ordinary differential equation for spatio-temporal prediction

scientific article published on 7 November 2023

Automatic Construction of Indoor 3D Navigation Graph from Crowdsourcing Trajectories

scientific article published in 2021

Detection of Indoor High-Density Crowds via Wi-Fi Tracking Data

scientific article published on 07 September 2020

Exploring the Spatiotemporal Characteristics of COVID-19 Infections among Healthcare Workers: A Multi-Scale Perspective

scientific article published on 14 October 2021

Forecasting Earthquake Magnitude and Epicenter by Incorporating Spatiotemporal Priors Into Deep Neural Networks

scientific article published in January 2023

Impact of the Russia–Ukraine Conflict on Global Marine Network Based on Massive Vessel Trajectories

scientific article published on 10 April 2024

Physics-informed Machine Learning and Its Research Prospects in GeoAI

scientific article published in 2023

Predicting Indoor Location based on a Hybrid Markov-LSTM Model

Predicting urban signal-controlled intersection congestion events using spatio-temporal neural point process

scientific article published on 30 July 2024

Spatiotemporal Differences of COVID-19 Infection Among Healthcare Workers and Patients in China From January to March 2020

scientific article published in January 2021

Understanding human mobility and trip demand through sparse trajectories of private e-bikes

scientific article published in September 2024

Urban traffic flow prediction: a dynamic temporal graph network considering missing values

scientific article published on 17 November 2022

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