Light Field Reconstruction Based on Compressed Sensing via Deep Learning. - Linhui Wei; Yu Liu 001; Yumei Wang (VCIP, 2019)

Tensor-Based Light Field Compressed Sensing and Epipolar Plane Images Reconstruction via Deep Learning. - Linhui Wei; Yumei Wang; Yu Liu 001 (IEEE Access, 2020)

Superpixel-Based Optimization for Point Cloud Reconstruction from Light Field. - Heming Zhao; Yu Liu 001; Linhui Wei; Yumei Wang (ICME Workshops, 2022)

Geometry-guided compact compression for light field image using graph convolutional networks. - Yu Liu 001; Linhui Wei; Heming Zhao; Jingming Shan; Yumei Wang (NOSSDAV, 2022)

MetaMars: 3DoF+ Roaming With Panoramic Stitching for Tianwen-1 Mission. - Dian Zheng; Linhui Wei; Yu Liu 001; Yumei Wang (IEEE Geosci. Remote. Sens. Lett., 2022)

Energy-Efficient Controller Placement in Software-Defined Satellite-Terrestrial Integrated Network. - Linhui Wei; Chen Chang; Yu Liu 001; Yumei Wang (Remote. Sens., 2022)

Orbit-Grid-Based Dynamic Routing for Software Defined Mega-Constellation Network. - Mingqian Wang; Linhui Wei; Yumei Wang; Yu Liu 001 (GLOBECOM, 2023)

Economic Routing for Immersive Media in Satellite-Terrestrial Integrated Network. - Linhui Wei; Mingqian Wang; Yu Liu 001; Yumei Wang (GLOBECOM, 2023)

MarsNet: Automated Rock Segmentation With Transformers for Tianwen-1 Mission. - Weikun Lv; Linhui Wei; Dian Zheng; Yu Liu 001; Yumei Wang (IEEE Geosci. Remote. Sens. Lett., 2023)

Rover Attitude and Camera Parameter: Rock Measurements on Mars Surface Based on Rover Attitude and Camera Parameter for Tianwen-1 Mission. - Dian Zheng; Linhui Wei; Weikun Lv; Yu Liu 001; Yumei Wang (Remote. Sens., 2023)

Towards Efficient Traffic Engineering via Distributed Optimization in Large-Scale LEO Constellation. - Linhui Wei; Tien Thanh Le 001; Yusheng Ji; Mingqian Wang; Yu Liu 001; Yumei Wang; John C. S. Lui (ICC Workshops, 2024)

MARSWIN: A Cross-Shot Swin Transformer Network for Super-Resolution on Mars MoRIC Image. - Junjie Li; Weikun Lv; Linhui Wei; Yu Liu 001; Yumei Wang; Zhi Liu 002; Zhi Zeng (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)