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Peixiao Wang
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2020 – today
- 2026
- [j34]Jie Liu, Chuangwei Xu, Shiyuan Han
, Linye Song, Peixiao Wang, Tong Zhang:
Uncertainty-aware precipitation nowcasting with diffusion model simulating precipitation evolution processes. Eng. Appl. Artif. Intell. 178: 115140 (2026) - [j33]Cheng Zhong, Sheng Wu, Peixiao Wang
Predicting human-activity intensity in urban areas with a prior-enhanced probabilistic-deterministic model. Int. J. Geogr. Inf. Sci. 40(5): 1406-1430 (2026) - [j32]Jianing Yu, Hengcai Zhang, Peixiao Wang, Feng Lu, Jicai Ning:
A geospatial skeleton framework for unveiling the 3D structure and dynamics of marine heatwaves from earth observation data. Geo spatial Inf. Sci. 29(2): 1214-1229 (2026) - [j31]Jinghui Wei, Sheng Wu, Shifen Cheng
Structure-aware multi-view urban representation learning with coordinated fusion and alignment. Inf. Process. Manag. 63(5): 104672 (2026) - [j30]Xiaoyue Luo
Heterogeneity-Guided Tensor Decomposition for Traffic Flow Imputation. IEEE Trans. Intell. Transp. Syst. 27(6): 7044-7061 (2026) - 2025
- [j29]Feng Lu, Shifen Cheng, Peixiao Wang:
GeoAI enabled urban computing: status and challenges. Ann. GIS 31(4): 537-555 (2025) - [j28]Peijie Sun, Hengcai Zhang, Peixiao Wang
3D-SHI index for quantifying 3D spatial heterogeneity in big Earth data. Int. J. Digit. Earth 18(1) (2025) - [j27]Peixiao Wang
Lightweighting the prediction process of urban states with parameter sharing and dilated operations. Int. J. Digit. Earth 18(1) (2025) - [j26]Peixiao Wang
Efficient inference of large-scale air quality using a lightweight ensemble predictor. Int. J. Geogr. Inf. Sci. 39(4): 900-924 (2025) - [j25]Zhipeng Wang
Capturing spatial heterogeneity of population-level human mobility via a prior-guided graph neural network. Int. J. Geogr. Inf. Sci. 39(12): 2710-2737 (2025) - [j24]Maoqi Lun, Peixiao Wang
Predicting the Next Location of Urban Individuals via a Representation-Enhanced Multi-View Learning Network. ISPRS Int. J. Geo Inf. 14(8): 302 (2025) - [j23]Yang Liu
RL-ISegNet: Refining Instance Segmentation for Remote Sensing Imagery via Iterative Reward Maximization With Limited Samples. IEEE Trans. Geosci. Remote. Sens. 63: 1-21 (2025) - 2024
- [j22]Beibei Zhang
Inferring freeway traffic volume with spatial interaction enhanced betweenness centrality. Int. J. Appl. Earth Obs. Geoinformation 129: 103818 (2024) - [j21]Tong Zhang, Jianlong Wang
A deep marked graph process model for citywide traffic congestion forecasting. Comput. Aided Civ. Infrastructure Eng. 39(8): 1180-1196 (2024) - [j20]Jianlong Wang, Xiaoqi Duan
Predicting urban signal-controlled intersection congestion events using spatio-temporal neural point process. Int. J. Digit. Earth 17(1) (2024) - [j19]Han Sun
Detection of fruit tree diseases in natural environments: A novel approach based on stereo camera and deep learning. Eng. Appl. Artif. Intell. 137: 109148 (2024) - [j18]Peixiao Wang
Adding attention to the neural ordinary differential equation for spatio-temporal prediction. Int. J. Geogr. Inf. Sci. 38(1): 156-181 (2024) - [j17]Chen Chu
Simulating human mobility with a trajectory generation framework based on diffusion model. Int. J. Geogr. Inf. Sci. 38(5): 847-878 (2024) - [j16]Shifen Cheng, Lizeng Wang
An ensemble spatial prediction method considering geospatial heterogeneity. Int. J. Geogr. Inf. Sci. 38(9): 1856-1880 (2024) - [j15]Peixiao Wang
Traffic condition estimation and data quality assessment for signalized road networks using massive vehicle trajectories. J. Ambient Intell. Humaniz. Comput. 15(1): 305-322 (2024) - [j14]Lin Cong, Hengcai Zhang
Impact of the Russia-Ukraine Conflict on Global Marine Network Based on Massive Vessel Trajectories. Remote. Sens. 16(8): 1329 (2024) - [c2]Peixiao Wang, Hengcai Zhang, Feng Lu:
Predicting Future Spatio-Temporal States Using a Robust Causal Graph Attention Model. SpatialDI 2024: 242-251 - 2023
- [j13]Peixiao Wang
Urban traffic flow prediction: a dynamic temporal graph network considering missing values. Int. J. Geogr. Inf. Sci. 37(4): 885-912 (2023) - [j12]Chen Chu
DeepIndoorCrowd: Predicting crowd flow in indoor shopping malls with an interpretable transformer network. Trans. GIS 27(6): 1699-1723 (2023) - [j11]Jie Liu
Forecasting Earthquake Magnitude and Epicenter by Incorporating Spatiotemporal Priors Into Deep Neural Networks. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - 2022
- [j10]Peixiao Wang
A multi-view bidirectional spatiotemporal graph network for urban traffic flow imputation. Int. J. Geogr. Inf. Sci. 36(6): 1231-1257 (2022) - [j9]Peixiao Wang
A Hybrid Data-Driven Framework for Spatiotemporal Traffic Flow Data Imputation. IEEE Internet Things J. 9(17): 16343-16352 (2022) - 2021
- [j8]Peixiao Wang
Spatiotemporal Differences of COVID-19 Infection Among Healthcare Workers and Patients in China From January to March 2020. IEEE Access 9: 28646-28657 (2021) - [j7]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:
Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges. Int. J. Digit. Earth 14(9): 1126-1147 (2021) - [j6]Xin Fu, Hengcai Zhang
Automatic Construction of Indoor 3D Navigation Graph from Crowdsourcing Trajectories. ISPRS Int. J. Geo Inf. 10(3): 146 (2021) - [j5]Hui Ren, Peixiao Wang
Exploring the Spatiotemporal Characteristics of COVID-19 Infections among Healthcare Workers: A Multi-Scale Perspective. ISPRS Int. J. Geo Inf. 10(10): 691 (2021) - 2020
- [j4]Tao Hu
Building an Open Resources Repository for COVID-19 Research. Data Inf. Manag. 4(3): 130-147 (2020) - [j3]Peixiao Wang
Detection of Indoor High-Density Crowds via Wi-Fi Tracking Data. Sensors 20(18): 5078 (2020) - [c1]Peixiao Wang
Predicting Indoor Location based on a Hybrid Markov-LSTM Model. W2GIS 2020: 33-38
2010 – 2019
- 2019
- [j2]Peixiao Wang
A Hybrid Markov and LSTM Model for Indoor Location Prediction. IEEE Access 7: 185928-185940 (2019) - [j1]Peixiao Wang
Indoor Location Prediction Method for Shopping Malls Based on Location Sequence Similarity. ISPRS Int. J. Geo Inf. 8(11): 517 (2019)
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