A Real-Time Object Detector for Autonomous Vehicles Based on YOLOv4. - Rui Wang 123; Ziyue Wang; Zhengwei Xu 002; Chi Wang; Qiang Li; Yuxin Zhang; Hua Li (Comput. Intell. Neurosci., 2021)

Inversion of the Gravity Gradiometry Data by ResUnet Network: An Application in Nordkapp Basin, Barents Sea. - Zhengwei Xu 002; Rui Wang 123; Michael S. Zhdanov; Xuben Wang; Jun Li; Bing Zhang; Shengxian Liang; Yang Wang (IEEE Trans. Geosci. Remote. Sens., 2023)

Real-time vehicle target detection in inclement weather conditions based on YOLOv4. - Rui Wang 123; He Zhao; Zhengwei Xu 002; Yaming Ding; Guowei Li; Yuxin Zhang; Hua Li (Frontiers Neurorobotics, 2023)

Employing MS-UNets Networks for Multiscale 3-D Gravity Data Inversion: A Case Study in the Nordkapp Basin, Barents Sea. - Rui Wang 123; Yaming Ding; Zhengwei Xu 002; Michael S. Zhdanov; Minghao Xian; Yu Zhang 215; Jun Li; Chao Jiang; Ziqing Guo (IEEE Trans. Geosci. Remote. Sens., 2024)

Reconstructing 2-D Basement Relief Using Gravity Data by Deep Neuron Network: An Application on Poyang Basin. - Rui Wang 123; Zhengwei Xu 002; Changjie Lai; Xuben Wang; Michael S. Zhdanov; Guowei Li; Zhiyao Cheng; Jun Li; Guangdong Zhao; Shengxian Liang; Hua Li; Yuxin Zhang (IEEE Trans. Geosci. Remote. Sens., 2024)

3-D Basement Relief and Density Inversion Based on EfficientNetV2 Deep Learning Network. - Yu Zhang 215; Zhengwei Xu 002; Minghao Xian; Michael S. Zhdanov; Changjie Lai; Rui Wang 123; Lifeng Mao; Guangdong Zhao (IEEE Trans. Geosci. Remote. Sens., 2024)