A Hybrid Feature Selection Algorithm Applied to High-dimensional Imbalanced Small-sample Data Classification. - Fang Feng; Qingquan Lv; Mingsong Wang; Xuhui Yang; Qingguo Zhou; Rui Zhou 005 (APSIPA, 2019)

FalconEye: A High-Performance Distributed Security Scanning System. - Cheng Wang 025; Xin Liu 050; Xiaokang Zhou; Rui Zhou 005; Dong Lv; Qingquan Lv; Mingsong Wang; Qingguo Zhou (DASC/PiCom/DataCom/CyberSciTech, 2019)

Online Ventricular Segmentation System Based on Machine Learning. - Yilin Hu; Hang Yin; Binbin Yong; Yunshan Cao; Xing Zhou; Rui Zhou 005; Qingquan Lv; Mingsong Wang (DASC/PiCom/DataCom/CyberSciTech, 2019)

Research on Theoretical Power Calculation Model for Large-Scale Wind Power Base. - Qingquan Lv; Jinping Zhang; Ruixiao Zhang; Long Zhao; Yanqi Zhang; Dingmei Wang (ICITEE, 2019)

Research on Reactive Power and Voltage Control Model under High Wind Power Penetration Rate. - Qiang Zhou; Chenyun Shen; Yanhong Ma; Qingquan Lv; Long Zhao; Zhicheng Ma (ICITEE, 2019)

Derivative-based acceleration of general vector machine. - Binbin Yong; Fucun Li; Qingquan Lv; Jun Shen 001; Qingguo Zhou (Soft Comput., 2019)

Deep Autoencoder for Mass Spectrometry Feature Learning and Cancer Detection. - Qingguo Zhou; Binbin Yong; Qingquan Lv; Jun Shen 001; Xin Wang (IEEE Access, 2020)

The Ultra-Short-Term Forecasting of Global Horizonal Irradiance Based on Total Sky Images. - Junxia Jiang; Qingquan Lv; Xiaoqing Gao (Remote. Sens., 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)

Multi-features fusion for short-term photovoltaic power prediction. - Ming Ma; Xiaorun Tang; Qingquan Lv; Jun Shen 001; Baixue Zhu; Jinqiang Wang; Binbin Yong (Intell. Converged Networks, 2022)

Intelligent malware detection based on graph convolutional network. - Shanxi Li; Qingguo Zhou; Rui Zhou 005; Qingquan Lv (J. Supercomput., 2022)

Ensemble Machine Learning Method for Photovoltaic Power Forecasting. - Qingguo Zhou; Xiaorun Tang; Qingquan Lv; Ziyuan Li; Jun Shen 001; Jinqiang Wang; Binbin Yong (CSCWD, 2023)

A Novel NODE Approach Combined with LSTM for Short-Term Electricity Load Forecasting. - Songtao Huang; Jun Shen 001; Qingquan Lv; Qingguo Zhou; Binbin Yong (Future Internet, 2023)