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代表性论文2，Zheng, Y., Lu, C., Wu, Z., Liao, J., Zhang, Y., & Wang, Q. (2022). Machine Learning‐Based Model for Real‐Time GNSS Precipitable Water Vapor Sensing.Geophysical Research Letters, 49(3), e2021GL096408.
代表性论文3，Lu, C., Zheng, Y.*, Wu, Z., Zhang, Y., Wang, Q., Wang, Z., ... & Zhong, Y. (2023). TropNet: a deep spatiotemporal neural network for tropospheric delay modeling and forecasting.Journal of Geodesy, 97(4), 34.
代表性论文4，Xiang, C., Zheng, Y.*, Liang, A., & Li, R. (2022). Echo-signal de-noising of CO2-dial based on the ensemble empirical mode decomposition.Atmosphere, 13(9), 1361.
代表性论文5，Wang, Q., Lu, C., Zheng, Y., Wang, Z., Li, J., & Tan, Y. (2025). In-situ and triple collocation-based evaluations of Tianmu-1 global soil moisture products.Remote Sensing of Environment, 328, 114892.
代表性论文6，Wang, Z., Lu, C., Zheng, Y., Tan, Y., Zhang, X., Wang, Q., ... & Wickert, J. (2025). STG-DNN: A Spatio-temporal Graph Deep Neural Network for GNSS-R Ocean Wind Speed Retrieval.IEEE Transactions on Geoscience and Remote Sensing.
代表性论文7，Li, J., Lu, C., Zheng, Y., Ban, W., & Zhang, X. (2025). Quality Assessment and Assimilation of Tianmu-1 GNSS Radio Occultation Refractivity Observations: A Preliminary Study. IEEE Transactions on Geoscience and Remote Sensing.
代表性论文8，Lu, C., Zhang, Y., Zheng, Y., Wu, Z., & Wang, Q. (2023). Precipitable water vapor fusion of MODIS and ERA5 based on convolutional neural network.GPS solutions, 27(1), 15.
代表性论文9，Lu, C., Feng, G., Zheng, Y., Zhang, K., Tan, H., Dick, G., & Wickert, J. (2020). Real-time retrieval of precipitable water vapor from Galileo observations by using the MGEX network.IEEE Transactions on Geoscience and Remote Sensing, 58(7), 4743-4753.
