A methodology of weed-crop classification based on autonomous models choosing and ensemble. - Binbin Yong; XueTao Jiang; Jun Shen 001; Qingguo Zhou (CoRR, 2020)

Photovoltaic Power Forecasting in Dunhuang based on Recurrent Neural Network. - Qingquan Lv; Ming Ma; XueTao Jiang; Meiyu Jiang; Binbin Yong; Jun Shen 001; Qingguo Zhou (HPCC/DSS/SmartCity/DependSys, 2021)

ClothGAN: generation of fashionable Dunhuang clothes using generative adversarial networks. - Qiang Wu 010; Baixue Zhu; Binbin Yong; Yongqiang Wei; XueTao Jiang; Rui Zhou 005; Qingguo Zhou (Connect. Sci., 2021)

Forestry digital twin with machine learning in Landsat 7 data. - XueTao Jiang; Meiyu Jiang; YuChun Gou; Qian Li; Qingguo Zhou (CoRR, 2022)

Optimization on Architecture of Time-Sensitive Software-Defined Network. - YuChun Gou; XueTao Jiang; Zezheng Liu; Gongpo Gyamyang; Rui Zhou 005; Qingguo Zhou; Deke Guo (CBD, 2023)

Day-Ahead PV Power Forecasting Based on MSTL-TFT. - XueTao Jiang; Meiyu Jiang; Qingguo Zhou (CoRR, 2023)

Temporal fusion transformer using variational mode decomposition for wind power forecasting. - Meiyu Jiang; XueTao Jiang; Qingguo Zhou (CoRR, 2023)

Photovoltaic Power Forecasting with Weather Conditioned Attention Mechanism. - XueTao Jiang; YuChun Gou; Meiyu Jiang; Lihui Luo; Qingguo Zhou (Big Data Min. Anal., 2025)