Improving exploration efficiency of deep reinforcement learning through samples produced by generative model. - Dayong Xu; Fei Zhu 003; Quan Liu 004; Peiyao Zhao (Expert Syst. Appl., 2021)

ARAIL: Learning to rank from incomplete demonstrations. - Dayong Xu; Fei Zhu 003; Quan Liu 004; Peiyao Zhao (Inf. Sci., 2021)

A Grid Carrying Capacity Evaluation Method Based on New Energy Growth Uncertainty. - Dayong Xu; Yuhua Lv (ICISCAE, 2022)

Spatial Potential Energy Weighted Maximum Simplex Algorithm for Hyperspectral Endmember Extraction. - Meiping Song; Ying Li; Tingting Yang; Dayong Xu (Remote. Sens., 2022)

Multiobjective Optimization-Based Hyperspectral Band Selection for Target Detection. - Meiping Song; Shihui Liu; Dayong Xu; Haoyang Yu 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Hyperspectral Real-Time Online Processing Local Anomaly Detection via Multiline Multiband Progressing. - Shihui Liu; Meiping Song; Hui Li; Tingting Yang; Bolun Cui; Xin Li; Jiakang Li; Dayong Xu (IEEE Trans. Geosci. Remote. Sens., 2023)

A new online detection method of tobacco impurities for tobacco robot. - Lei Zhang; Dailin Li; Dayong Xu; Erqiang Zhang; Zhenyu Liu; Jiakang Li; Jinsong Du; Shanlian Li (Frontiers Neurorobotics, 2024)