Sequence Image Interpolation via Separable Convolution Network. - Xing Jin 003; Ping Tang; Thomas Houet; Thomas Corpetti; Emilien Alvarez-Vanhard; Zheng Zhang 021 (Remote. Sens., 2021)

Sequence Image Datasets Construction via Deep Convolution Networks. - Xing Jin 003; Ping Tang; Zheng Zhang 021 (Remote. Sens., 2021)

From Regression Based on Dynamic Filter Network to Pansharpening by Pixel-Dependent Spatial-Detail Injection. - Xuan Liu; Ping Tang; Xing Jin 003; Zheng Zhang 021 (Remote. Sens., 2022)

Landsat-8 Datasets In Large Areas. - Xing Jin 003 (IEEE DataPort, 2022)

Urban Fine-Grained Water Quality Monitoring Based on Stacked Machine Learning Approach. - Caijuan Cheng; Zhijun Xie; Xing Jin 003; Changchun Peng; Cheng Ren; Yunfei Mao; Kefan Zhou; Yingying Li (IEEE Access, 2024)

DWE: Research on Water Quality Inversion and Scalability in Small Watersheds Using UAV Remote Sensing Data. - Hao Li; Zhijun Xie; Xing Jin 003; Changchun Peng; Cheng Ren; Yunfei Mao; Kefan Zhou; Yingying Li (IEEE Access, 2025)

LDSENet: A Lightweight Detail Semantic Enhancement Network for accurate water body extraction. - Xing Jin 003; Zi-yi Zhao; Zhi-peng Qi; Qiu-ping Jiang (Inf. Fusion, 2025)

ATM: Adaptive transformer model for reconstruction of remote sensing multi-temporal non-equispaced sequence imagery. - Zhi-peng Qi; Zi-yi Zhao; Xing Jin 003 (J. King Saud Univ. Comput. Inf. Sci., 2025)

JC-GN: multi-scene joint conditional network for remote sensing sequence imagery generation under spatio-temporal variation. - Zi-yi Zhao; Xing Jin 003 (J. King Saud Univ. Comput. Inf. Sci., 2025)