A Hybrid Markov and LSTM Model for Indoor Location Prediction. - Peixiao Wang; Hongen Wang; Hengcai Zhang; Feng Lu 004; Sheng Wu 004 (IEEE Access, 2019)

Indoor Location Prediction Method for Shopping Malls Based on Location Sequence Similarity. - Peixiao Wang; Sheng Wu 004; Hengcai Zhang; Feng Lu 004 (ISPRS Int. J. Geo Inf., 2019)

Predicting Indoor Location based on a Hybrid Markov-LSTM Model. - Peixiao Wang; Sheng Wu 004; Hengcai Zhang (W2GIS, 2020)

Building an Open Resources Repository for COVID-19 Research. - Tao Hu 004; Weihe Wendy Guan; Xinyan Zhu; Yuanzheng Shao; Lingbo Liu; Jing Du; Hongqiang Liu; Huan Zhou 007; Jialei Wang; Bing She; Luyao Zhang 001; Zhibin Li; et al. (Data Inf. Manag., 2020)

Detection of Indoor High-Density Crowds via Wi-Fi Tracking Data. - Peixiao Wang; Fei Gao; Yuhui Zhao; Ming Li; Xinyan Zhu (Sensors, 2020)

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 004 (IEEE Access, 2021)

Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges. - Tao Hu 004; Siqin Wang; Bing She; Mengxi Zhang; Xiao Huang 003; Yunhe Cui; Jacob Khuri; Yaxin Hu 003; Xiaokang Fu; Xiaoyue Wang; Peixiao Wang; Xinyan Zhu; et al. (Int. J. Digit. Earth, 2021)

Automatic Construction of Indoor 3D Navigation Graph from Crowdsourcing Trajectories. - Xin Fu; Hengcai Zhang; Peixiao Wang (ISPRS Int. J. Geo Inf., 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)

A multi-view bidirectional spatiotemporal graph network for urban traffic flow imputation. - Peixiao Wang; Tong Zhang 009; Yueming Zheng; Tao Hu 004 (Int. J. Geogr. Inf. Sci., 2022)

A Hybrid Data-Driven Framework for Spatiotemporal Traffic Flow Data Imputation. - Peixiao Wang; Tao Hu 004; Fei Gao; Ruijie Wu; Wei Guo; Xinyan Zhu (IEEE Internet Things J., 2022)

Forecasting Earthquake Magnitude and Epicenter by Incorporating Spatiotemporal Priors Into Deep Neural Networks. - Jie Liu; Tong Zhang 009; Chulin Gao; Peixiao Wang (IEEE Trans. Geosci. Remote. Sens., 2023)

Urban traffic flow prediction: a dynamic temporal graph network considering missing values. - Peixiao Wang; Yan Zhang 078; Tao Hu 004; Tong Zhang 009 (Int. J. Geogr. Inf. Sci., 2023)

DeepIndoorCrowd: Predicting crowd flow in indoor shopping malls with an interpretable transformer network. - Chen Chu; Hengcai Zhang; Peixiao Wang; Feng Lu 004 (Trans. GIS, 2023)

Predicting Future Spatio-Temporal States Using a Robust Causal Graph Attention Model. - Peixiao Wang; Hengcai Zhang; Feng Lu 004 (SpatialDI, 2024)

Inferring freeway traffic volume with spatial interaction enhanced betweenness centrality. - Beibei Zhang; Shifen Cheng; Peixiao Wang; Feng Lu 004 (Int. J. Appl. Earth Obs. Geoinformation, 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 002; Tianyu Zhang (Eng. Appl. Artif. Intell., 2024)

Adding attention to the neural ordinary differential equation for spatio-temporal prediction. - Peixiao Wang; Tong Zhang 009; Hengcai Zhang; Shifen Cheng; Wangshu Wang (Int. J. Geogr. Inf. Sci., 2024)

Traffic condition estimation and data quality assessment for signalized road networks using massive vehicle trajectories. - Peixiao Wang; Tong Zhang 009; Tao Hu 004 (J. Ambient Intell. Humaniz. Comput., 2024)

A deep marked graph process model for citywide traffic congestion forecasting. - Tong Zhang 009; Jianlong Wang; Tong Wang 017; Yiwei Pang; Peixiao Wang; Wangshu Wang (Comput. Aided Civ. Infrastructure Eng., 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., 2024)

Simulating human mobility with a trajectory generation framework based on diffusion model. - Chen Chu; Hengcai Zhang; Peixiao Wang; Feng Lu 004 (Int. J. Geogr. Inf. Sci., 2024)

An ensemble spatial prediction method considering geospatial heterogeneity. - Shifen Cheng; Lizeng Wang; Peixiao Wang; Feng Lu 004 (Int. J. Geogr. Inf. Sci., 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, 2024)

RL-ISegNet: Refining Instance Segmentation for Remote Sensing Imagery via Iterative Reward Maximization With Limited Samples. - Yang Liu 315; Tong Zhang 009; Yanru Huang; Peixiao Wang; Gang Wang (IEEE Trans. Geosci. Remote. Sens., 2025)

Efficient inference of large-scale air quality using a lightweight ensemble predictor. - Peixiao Wang; Hengcai Zhang; Jie Liu; Feng Lu 004; Tong Zhang 009 (Int. J. Geogr. Inf. Sci., 2025)