Peixiao Wang

According to our database, Peixiao Wang authored at least 24 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Jianlong Wang, Xiaoqi Duan, Peixiao Wang, A.-Gen Qiu, Zeqiang Chen

Int. J. Digit. Earth, December, 2024

An ensemble spatial prediction method considering geospatial heterogeneity.

Shifen Cheng, Lizeng Wang, Peixiao Wang, Feng Lu

Int. J. Geogr. Inf. Sci., September, 2024

Simulating human mobility with a trajectory generation framework based on diffusion model.

Chen Chu, Hengcai Zhang, Peixiao Wang, Feng Lu

Int. J. Geogr. Inf. Sci., May, 2024

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

Lin Cong, Hengcai Zhang, Peixiao Wang, Chen Chu, Jinzi Wang

Remote. Sens., April, 2024

A deep marked graph process model for citywide traffic congestion forecasting.

Tong Zhang, Jianlong Wang, Tong Wang, Yiwei Pang, Peixiao Wang, Wangshu Wang

Comput. Aided Civ. Infrastructure Eng., April, 2024

Traffic condition estimation and data quality assessment for signalized road networks using massive vehicle trajectories.

Peixiao Wang, Tong Zhang, Tao Hu

J. Ambient Intell. Humaniz. Comput., January, 2024

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

Peixiao Wang, Tong Zhang, Hengcai Zhang, Shifen Cheng, Wangshu Wang

Int. J. Geogr. Inf. Sci., January, 2024

Detection of fruit tree diseases in natural environments: A novel approach based on stereo camera and deep learning.

Han Sun, Jinlin Xue, Yue Song, Peixiao Wang, Yu Wen, Tianyu Zhang

Eng. Appl. Artif. Intell., 2024

Inferring freeway traffic volume with spatial interaction enhanced betweenness centrality.

Beibei Zhang, Shifen Cheng, Peixiao Wang, Feng Lu

Int. J. Appl. Earth Obs. Geoinformation, 2024

Predicting Future Spatio-Temporal States Using a Robust Causal Graph Attention Model.

Peixiao Wang, Hengcai Zhang, Feng Lu

Proceedings of the Spatial Data and Intelligence - 5th China Conference, 2024

2023

DeepIndoorCrowd: Predicting crowd flow in indoor shopping malls with an interpretable transformer network.

Chen Chu, Hengcai Zhang, Peixiao Wang, Feng Lu

Trans. GIS, September, 2023

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

Peixiao Wang, Yan Zhang, Tao Hu, Tong Zhang

Int. J. Geogr. Inf. Sci., April, 2023

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

Jie Liu, Tong Zhang, Chulin Gao, Peixiao Wang

IEEE Trans. Geosci. Remote. Sens., 2023

2022

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

Peixiao Wang, Tao Hu, Fei Gao, Ruijie Wu, Wei Guo, Xinyan Zhu

IEEE Internet Things J., 2022

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

Peixiao Wang, Tong Zhang, Yueming Zheng, Tao Hu

Int. J. Geogr. Inf. Sci., 2022

2021

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

Hui Ren, Peixiao Wang, Wei Guo, Xinyan Zhu

ISPRS Int. J. Geo Inf., 2021

Automatic Construction of Indoor 3D Navigation Graph from Crowdsourcing Trajectories.

Xin Fu, Hengcai Zhang, Peixiao Wang

ISPRS Int. J. Geo Inf., 2021

Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges.

Tao Hu, Siqin Wang, Bing She, Mengxi Zhang, Xiao Huang, Yunhe Cui, Jacob Khuri, Yaxin Hu, Xiaokang Fu, Xiaoyue Wang, Peixiao Wang, Xinyan Zhu, Shuming Bao, Wendy Guan, Zhenlong Li

Int. J. Digit. Earth, 2021

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

Peixiao Wang, Xinyan Zhu, Wei Guo, Hui Ren, Tao Hu

IEEE Access, 2021

2020

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

Peixiao Wang, Fei Gao, Yuhui Zhao, Ming Li, Xinyan Zhu

Sensors, 2020

Building an Open Resources Repository for COVID-19 Research.

Tao Hu, Weihe Wendy Guan, Xinyan Zhu, Yuanzheng Shao, Lingbo Liu, Jing Du, Hongqiang Liu, Huan Zhou, Jialei Wang, Bing She, Luyao Zhang, Zhibin Li, Peixiao Wang, Yicheng Tang, Ruizhi Hou, Yun Li, Dexuan Sha, Yifan Yang, Ben Lewis, Devika Kakkar, Shuming Bao

Data Inf. Manag., 2020

Predicting Indoor Location based on a Hybrid Markov-LSTM Model.

Peixiao Wang, Sheng Wu, Hengcai Zhang

Proceedings of the Web and Wireless Geographical Information Systems, 2020

2019

Indoor Location Prediction Method for Shopping Malls Based on Location Sequence Similarity.

Peixiao Wang, Sheng Wu, Hengcai Zhang, Feng Lu

ISPRS Int. J. Geo Inf., 2019

A Hybrid Markov and LSTM Model for Indoor Location Prediction.

Peixiao Wang, Hongen Wang, Hengcai Zhang, Feng Lu, Sheng Wu

IEEE Access, 2019