A Gravity-informed Spatiotemporal Transformer for Human Activity Intensity Prediction
Wang, Y.#, Wang, Z.#, Zhang, F., Kang, C., Ruan, S., Zhu, D., Tang, C., Ma, Z., Zhang, W., Zheng, Y., Yu, PS., Liu, Y.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2025), 48(3), 2380-2397
A Multi-view Graph Neural Network for Building Age Prediction
Wang, Y.#, Zhang, Y.#, Dong, Q., Guo, H., Tao, Y., Zhang, F.
ISPRS Journal of Photogrammetry and Remote Sensing (2024), 218, 294-311
TTSR: A Transformer-based Topography Neural Network for Digital Elevation Model Super Resolution
Wang, Y.#, Jin, S.#, Yang, Z.#, Guan, H., Ren, Y., Cheng, K., Zhao, X., Liu, X., Chen, M., Liu, Y., Guo, Q.
IEEE Transactions on Geoscience and Remote Sensing (2024), 62, 4403719-4403738
A Hypergraph-based Hybrid Graph Convolutional Network for Intracity Human Activity Intensity Prediction and Geographic Relationship Interpretation
Wang, Y., Zhu, D.
Information Fusion (2024), 104, 102149
Adaptive Spatiotemporal InceptionNet for Traffic Flow Forecasting
Wang, Y., Jing, C., Huang, W., Jin, S., & Lv, X.
IEEE Transactions on Intelligent Transportation Systems (2023), 24(4), 3882-3907
SHGCN: a hypergraph-based deep learning model for spatiotemporal traffic flow prediction
Wang, Y., & Zhu, D.
Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (2022), 30-39
Attention based spatiotemporal graph attention networks for traffic flow forecasting
Wang, Y., Jing, C., Xu, S., & Guo, T.
Information Sciences (2022), 607, 869-883
Spatiotemporal graph convolutional network for multi-scale traffic forecasting
Wang, Y., & Jing, C.
ISPRS International Journal of Geo-Information (2022), 11(2), 102
Spatio-Temporal dynamic hypergraph neural network for large-scale medium and long-term online precipitation forecasting
Wang, Z., Lin, Z., Huang, W., Wang, Y.*, Huang, T., Zhang, F., Huang, Z. and Liu, Y.
IEEE Transactions on Geoscience and Remote Sensing (2026), 64, 3001217
Learning from leading indicators to predict long-term dynamics of hourly electricity generation from multiple resources
Wang, Z.#, Wang, Y.#, Jia, F.#, Zhang, F., Klimenko, N., Wang, L., He, Z., Huang, Z., & Liu, Y.
Neural Networks (2025), 186, 107268
Spatiotemporal Fusion Transformer for large-scale traffic forecasting
Wang, Z.#, Wang, Y.#, Jia, F.#, Zhang, F., Klimenko, N., Wang, L., He, Z., Huang, Z., & Liu, Y.
Information Fusion (2024), 107, 102293
Taming spatial heterogeneity in angular domain: A framework for urban vitality forecasting
Jiang, Y.#, Wang, Y.#, Wang, Z., Liu, Y., Su, Y., Chang, Y., Zhang, B., Zhao, X, Zhang, F., Huang, Z., Dong, Z.
Transactions in GIS (2026), 30(2), e70222
PhenoSR: A semantic-aware super-resolution network for flexible reconstruction of RGB images from UAV
Zhang, R., Jin, S., Wang, Y., Zhang, J., Yao, J., Wang, Y., Zhao, R., Su, Y., Wu. J., Wang, X., Jiang, D.
ISPRS Journal of Photogrammetry and Remote Sensing (2025), 228, 582-602
A Deep Multi-scale Neural Networks for Crime Hotspot Mapping Prediction
Lv, X., Jing, C., Wang, Y., Qin, M., Jin, S., Wu, S., & Xu, G.
Computers, Environment and Urban Systems (2024), 109, 102089
Efficient large-scale vegetation mapping at the formation level using multi-source data: A case study in Beijing, China
Xu, J., Huang, Y., Cheng, K., Wang, Y., Hu, T., Guan, H., Chen, Y., Ren, Y., Chen, M., Yang, Z., Wang J., & Guo, Q.
ISPRS Journal of Photogrammetry and Remote Sensing (2025), 225, 36-51
A Transformer-based Multi-modal Model for Urban-Rural Fringe Identification
Jia, F., Dong, Q., Huang, Z., Chen, X. J., Wang, Y., Peng, X., Guo, Y., Ma, R., Zhang, F., & Liu, Y.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024), 17, 15041-15051
A Lightweight Multi-layer Perceptron for Efficient Multivariate Time-series Forecasting
Wang, Z., Ruan, S., Huang, T., Zhou, H., Zhang, S., Wang, Y., Wang, L., Huang, Z., & Liu, Y.
Knowledge-Based Systems (2024), 288, 111463
A Deep Neural Network for Spatiotemporal Prediction of Theft Crimes
Lv, X., Jing, C., Wang, Y., & Jin, S.
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2022), 48, 35-41
Spatiotemporal graph convolutional neural networks for metro flow prediction
Jin, S., Jing, C., Wang, Y., & Lv, X.
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2022), 43, 403-409