Fast Computations to Electromagnetic Scattering Properties of Complex Bodies of Revolution Buried and Partly Buried in Layered Lossy Media. - Yong Bo Zhai; Xue Wei Ping; Xiao-Yang Zhou; Jian Feng Zhang; Wen Ming Yu 001; Wei Bing Lu; Tie Jun Cui (IEEE Trans. Geosci. Remote. Sens., 2011)

Simplificaiton of linear short-gravity waves for modeling sea clutter returns due to Bragg scattering at X band. - Hui Chen; Wen Ming Yu 001; Xiao-Yang Zhou; Min Zhang 014; Tie Jun Cui (IGARSS, 2016)

Recognition Rate Versus Substitution Rate Curve: An Objective Utility Assessment Criterion of Simulated Training Data. - Qian Guo; Yutong Qian; Haipeng Wang 002; Wenming Yu 001; Feng Xu 001; Tie Jun Cui; Ya-Qiu Jin (IEEE Trans. Geosci. Remote. Sens., 2022)

Programmable Metasurface-Based Beam Forming by Physics-Driven Deep Learning Network. - Jianghan Bao; Wen Ming Yu 001; Tie Jun Cui; Che Liu (MOCAST, 2023)

Simulation-Aided SAR Target Classification via Dual-Branch Reconstruction and Subdomain Alignment. - Xiaoling Lv; Xiaolan Qiu; Wenming Yu 001; Feng Xu 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

PointEMRay: A Novel Efficient SBR Framework on Point Based Geometry. - Kaiqiao Yang; Che Liu; Wenming Yu 001; Tie Jun Cui (CoRR, 2024)

Improved Few-Shot SAR Image Generation by Enhancing Diversity. - Jianghan Bao; Wen Ming Yu 001; Kaiqiao Yang; Che Liu; Tie Jun Cui (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)