Research on Static Vision-Based Target Localization for Astronaut Assistant Robots. - Fengwei Gu; Hongwei Gao; Jinguo Liu; Qing Gao 002; Zhaojie Ju (IEEE Access, 2019)

Simulation analysis and experimental validation of conveying device in uniform rrushed straw throwing and seed-sowing Machines using CFD-DEM coupled approach. - Fengwei Gu; Youqun Zhao; Feng Wu; Zhichao Hu; Lili Shi (Comput. Electron. Agric., 2022)

RPformer: A Robust Parallel Transformer for Visual Tracking in Complex Scenes. - Fengwei Gu; Jun Lu; Chengtao Cai (IEEE Trans. Instrum. Meas., 2022)

Parameter optimization and simulation analysis of floating root cutting mechanism for garlic harvester. - Zhaoyang Yu; Ke Yang; Zhichao Hu; Baoliang Peng; Fengwei Gu; Ling Yang; Mingjin Yang (Comput. Electron. Agric., 2023)

Repformer: a robust shared-encoder dual-pipeline transformer for visual tracking. - Fengwei Gu; Jun Lu; Chengtao Cai; Qidan Zhu; Zhaojie Ju (Neural Comput. Appl., 2023)

A robust attention-enhanced network with transformer for visual tracking. - Fengwei Gu; Jun Lu; Chengtao Cai (Multim. Tools Appl., 2023)

HFANTrack: A Hierarchical Feature-Aware Network for Visual Tracking. - Fengwei Gu; Ao Li 002; Tienan Liu; Tao Shi; Ning Zhao; Zhaojie Ju (M2VIP, 2024)

RTSformer: A Robust Toroidal Transformer With Spatiotemporal Features for Visual Tracking. - Fengwei Gu; Jun Lu; Chengtao Cai; Qidan Zhu; Zhaojie Ju (IEEE Trans. Hum. Mach. Syst., 2024)

VTST: Efficient Visual Tracking With a Stereoscopic Transformer. - Fengwei Gu; Jun Lu; Chengtao Cai; Qidan Zhu; Zhaojie Ju (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

EANTrack: An Efficient Attention Network for Visual Tracking. - Fengwei Gu; Jun Lu; Chengtao Cai; Qidan Zhu; Zhaojie Ju (IEEE Trans Autom. Sci. Eng., 2024)

Online detection of broken and impurity rates in half-feed peanut combine harvesters based on improved YOLOv8-Seg. - Man Gu; Haiyang Shen; Jie Ling; Zhaoyang Yu; Weiwen Luo; Feng Wu; Fengwei Gu; Zhichao Hu (Comput. Electron. Agric., 2025)

Dual-consistency graph-spectral embedding joint learning for multi-view single-cell clustering. - Ao Li 002; Tongtong Ji; Chunrui Wang; Fengwei Gu; Tianyu Gao; Lili Zhou (Knowl. Based Syst., 2025)