A lab-customized autonomous humanoid apple harvesting robot. - Xiaojun Yu; Zeming Fan; Xingduo Wang; Hao Wan; Pengbo Wang; Xilei Zeng; Feng Jia (Comput. Electr. Eng., 2021)

A real-time branch detection and reconstruction mechanism for harvesting robot via convolutional neural network and image segmentation. - Hao Wan; Zeming Fan; Xiaojun Yu; Meilin Kang; Pengbo Wang; Xilei Zeng (Comput. Electron. Agric., 2022)

U2ESPNet - A lightweight and high-accuracy convolutional neural network for real-time semantic segmentation of visible branches. - Hao Wan; Xilei Zeng; Zeming Fan; Shanshan Zhang; Meilin Kang (Comput. Electron. Agric., 2023)

U-DPnet: an ultralight convolutional neural network for the detection of apples in orchards. - Hao Wan; Xilei Zeng; Zeming Fan; Shanshan Zhang; Ke Zhang (J. Real Time Image Process., 2023)

Bunet: An effective and efficient segmentation method based on bilateral encoder-decoder structure for rapid detection of apple tree branches. - Shanshan Zhang; Hao Wan; Zeming Fan; Xilei Zeng; Ke Zhang (Appl. Intell., 2023)

ET-PatchNet: A low-memory, efficient model for Multi-view Stereo with a case study on the 3D reconstruction of fruit tree branches. - Hao Wan; Xilei Zeng; Zeming Fan; Qinhu Chen; Ke Zhang; Han Zhang (Comput. Electron. Agric., 2025)

LR-Inst: A lightweight and robust instance segmentation network for apple detection in complex orchard environments. - Hengrong Guo; Hao Wan; Xilei Zeng; Han Zhang; Zeming Fan (Displays, 2025)

MT-MVSNet: A lightweight and highly accurate convolutional neural network based on mobile transformer for 3D reconstruction of orchard fruit tree branches. - Xilei Zeng; Hao Wan; Zeming Fan; Xiaojun Yu; Hengrong Guo (Expert Syst. Appl., 2025)

LED-Net: A lightweight and efficient dual-branch convolutional neural network for high-performance fruit tree branches semantic segmentation on mobile devices. - Xilei Zeng; Hengrong Guo; Zeming Fan; Chenyu Zhou; Hao Wan; Xiaojun Yu (Expert Syst. Appl., 2026)