Transformer text recognition with deep learning algorithm. - Ye Chen; Hongchun Shu; Wenjiao Xu; Zhengyu Yang 007; Zhihu Hong; Mingshuai Dong (Comput. Commun., 2021)

MASK-GD segmentation based robotic grasp detection. - Mingshuai Dong; Shimin Wei; Xiuli Yu; Jianqin Yin (Comput. Commun., 2021)

Real-World Semantic Grasping Detection. - Mingshuai Dong; Shimin Wei; Jianqin Yin; Xiuli Yu (CoRR, 2021)

Robotic Grasp Detection Based on Transformer. - Mingshuai Dong; Yuxuan Bai; Shimin Wei; Xiuli Yu (ICIRA (4), 2022)

Time-optimal trajectory planning of manipulator with simultaneously searching the optimal path. - Xiuli Yu; Mingshuai Dong; Weimin Yin (Comput. Commun., 2022)

Robotic grasp detection based on Transformer. - Mingshuai Dong; Xiuli Yu (CoRR, 2022)

A Single Multi-Task Deep Neural Network with a Multi-Scale Feature Aggregation Mechanism for Manipulation Relationship Reasoning in Robotic Grasping. - Mingshuai Dong; Yuxuan Bai; Shimin Wei; Xiuli Yu (CoRR, 2023)

YOLOOD: an arbitrary-oriented flexible flat cable detection method in robotic assembly. - Yuxuan Bai; Mingshuai Dong; Shimin Wei; Jian Li; Xiuli Yu (J. Supercomput., 2023)

Real-World Semantic Grasp Detection Using Ontology Features: Learning to Concentrate on Object Features. - Mingshuai Dong; Yuxuan Bai; Shimin Wei; Xiuli Yu (Neural Process. Lett., 2023)

A single multi-task deep neural network with a multi-scale feature aggregation mechanism for manipulation relationship reasoning in robotic grasping. - Mingshuai Dong; Yuxuan Bai; Xiuli Yu (J. Supercomput., 2025)