Scenario Generation for Wind Power Using Improved Generative Adversarial Networks. - Congmei Jiang; Yongfang Mao; Yi Chai; Mingbiao Yu; Songbing Tao (IEEE Access, 2018)

Forecasting Spatio-Temporal Renewable Scenarios: a Deep Generative Approach. - Congmei Jiang; Yize Chen; Yongfang Mao; Yi Chai; Mingbiao Yu (CoRR, 2019)

Posterror Compensation of Moving-Base Rotating Accelerometer Gravity Gradiometer. - Mingbiao Yu; Tijing Cai; Liang Cheng Tu; Chenyuan Hu; Li Yu (IEEE Trans. Instrum. Meas., 2021)

Mathematic Model and Error Analysis of Moving-Base Rotating Accelerometer Gravity Gradiometer. - Mingbiao Yu; Tijing Cai; Liang Cheng Tu; Chenyuan Hu; Ji Fan; Li Yu (IEEE Trans. Aerosp. Electron. Syst., 2022)

Implementation of Effective Scale Factor Matching and Axial Centripetal Error Compensation for a Rotating Accelerometer Gravity Gradiometer. - Jianyuan Pi; Xiaobing Yu; Peng Chen; Mingbiao Yu; Li Yu; Ji Fan; Jinquan Liu; Chenyuan Hu; Liang Cheng Tu (IEEE Trans. Instrum. Meas., 2023)

Identification and Suppression of Multicomponent Noise in Audio Magnetotelluric Data Based on Convolutional Block Attention Module. - Liang Zhang; Guang Li; Huang Chen; Jingtian Tang; Guanci Yang; Mingbiao Yu; Yong Hu; Jun Xu; Jing Sun (IEEE Trans. Geosci. Remote. Sens., 2024)

Postprocessing Compensation for Rotating Accelerometer Gravity Gradiometer Using Linear Motion Error Model Coefficient Calibration Method. - Bohai Ke; Mingbiao Yu; Yu Liang; Xukai Guo; Xiaobing Yu; Tao Jiang; Li Yu; Chenyuan Hu; Huafeng Liu 002; Ji Fan; Zebing Zhou (IEEE Trans. Instrum. Meas., 2025)

Research on Compensation Approach for Motion Error of Rotating Accelerometer Gravity Gradiometer. - Yu Liang; Mingbiao Yu; Xiaobing Yu; Bohai Ke; Tao Jiang; Li Yu; Ji Fan; Chenyuan Hu; Liangcheng Tu; Huafeng Liu 002; Zebing Zhou (IEEE Trans. Instrum. Meas., 2025)