Neural network model with Monte Carlo algorithm for electricity demand forecasting in Queensland. - Binbin Yong; Zijian Xu 003; Jun Shen 001; Huaming Chen; Yan-Shan Tian; Qingguo Zhou (ACSW, 2017)

Parallel GPU-based collision detection of irregular vessel wall for massive particles. - Binbin Yong; Jun Shen 001; Hongyu Sun; Huaming Chen; Qingguo Zhou (Clust. Comput., 2017)

L4eRTL: a robust and secure real-time architecture with L4 microkernel and para-virtualised PSE51 partitions. - Qingguo Zhou; Rui Zhou 005; Binbin Yong; Xiaoqiang Wang; Gaofeng Zhang; Hai Jiang 003; Kuan-Ching Li (Int. J. Embed. Syst., 2017)

Intelligent monitor system based on cloud and convolutional neural networks. - Binbin Yong; Gaofeng Zhang; Huaming Chen; Qingguo Zhou (J. Supercomput., 2017)

Web Behavior Detection Based on Deep Neural Network. - Binbin Yong; Xin Liu 050; Yan Liu; Hang Yin; Liang Huang 005; Qingguo Zhou (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

GVM based intuitive simulation web application for collision detection. - Binbin Yong; Jun Shen 001; Zebang Shen; Huaming Chen; Xin Wang; Qingguo Zhou (Neurocomputing, 2018)

IoT-based intelligent fitness system. - Binbin Yong; Zijian Xu 003; Xin Wang; Libin Cheng; Xue Li; Xiang Wu; Qingguo Zhou (J. Parallel Distributed Comput., 2018)

Short-Term Electricity Demand Forecasting Based on Multiple LSTMs. - Binbin Yong; Zebang Shen; Yongqiang Wei; Jun Shen 001; Qingguo Zhou (BICS, 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)

Ensemble Neural Network Method for Wind Speed Forecasting. - Binbin Yong; Fei Qiao; Chen Wang 061; Jun Shen 001; Yongqiang Wei; Qingguo Zhou (SiPS, 2019)

Enhanced Deep Networks for Short-Term and Medium-Term Load Forecasting. - Lingyi Han; Yuexing Peng; Yonghui Li 001; Binbin Yong; Qingguo Zhou; Lei Shu 001 (IEEE Access, 2019)

Anomaly detection in ad-hoc networks based on deep learning model: A plug and play device. - Fang Feng; Xin Liu 050; Binbin Yong; Rui Zhou 005; Qingguo Zhou (Ad Hoc Networks, 2019)

Malicious Web traffic detection for Internet of Things environments. - Binbin Yong; Xin Liu 050; Qingchen Yu; Liang Huang 005; Qingguo Zhou (Comput. Electr. Eng., 2019)

Smart fog based workflow for traffic control networks. - Qiang Wu 010; Jun Shen 001; Binbin Yong; Jianqing Wu 002; Fucun Li; Jinqiang Wang; Qingguo Zhou (Future Gener. Comput. Syst., 2019)

Arrhythmia recognition and classification through deep learning-based approach. - Rui Zhou 005; Xue Li; Binbin Yong; Zebang Shen; Chen Wang 061; Qingguo Zhou; Yunshan Cao; Kuan-Ching Li (Int. J. Comput. Sci. Eng., 2019)

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

Statistical study of characteristics of online reading behavior networks in university digital library. - Lihong Han; Gaofeng Zhang; Binbin Yong; Qiang He 001; Fang Feng; Qingguo Zhou (World Wide Web, 2019)

An Efficient Tiny Feature Map Network for Real-Time Semantic Segmentation. - Hang Huang; Peng Zhi; Haoran Zhou; Yujin Zhang; Qiang Wu 010; Binbin Yong; Weijun Tan; Qingguo Zhou (ISVC (2), 2020)

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

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

A novel Monte Carlo-based neural network model for electricity load forecasting. - Binbin Yong; Zijian Xu 003; Jun Shen 001; Huaming Chen; Jianqing Wu 002; Fucun Li; Qingguo Zhou (Int. J. Embed. Syst., 2020)

An intelligent blockchain-based system for safe vaccine supply and supervision. - Binbin Yong; Jun Shen 001; Xin Liu 050; Fucun Li; Huaming Chen; Qingguo Zhou (Int. J. Inf. Manag., 2020)

An Edge Based Multi-Agent Auto Communication Method for Traffic Light Control. - Qiang Wu 010; Jianqing Wu 002; Jun Shen 001; Binbin Yong; Qingguo Zhou (Sensors, 2020)

A research of Monte Carlo optimized neural network for electricity load forecast. - Binbin Yong; Liang Huang 005; Fucun Li; Jun Shen 001; Xin Wang; Qingguo Zhou (J. Supercomput., 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)

Automatic ventricular nuclear magnetic resonance image processing with deep learning. - Binbin Yong; Chen Wang 061; Jun Shen 001; Fucun Li; Hang Yin; Rui Zhou 005 (Multim. Tools Appl., 2021)

Towards Improving the Anti-attack Capability of the RangeNet++. - Qingguo Zhou; Ming Lei; Peng Zhi; Rui Zhao; Jun Shen 001; Binbin Yong (ACCV (Workshops), 2022)

Ensemble machine learning approaches for webshell detection in Internet of things environments. - Binbin Yong; Wei Wei 006; Kuan-Ching Li; Jun Shen 001; Qingguo Zhou; Marcin Wozniak; Dawid Polap; Robertas Damasevicius (Trans. Emerg. Telecommun. Technol., 2022)

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)

Sentence Boundary Disambiguation for Tibetan Based on Attention Mechanism at the Syllable Level. - Fenfang Li; Hui Lv; La Duo; Binbin Yong; Qingguo Zhou (ACM Trans. Asian Low Resour. Lang. Inf. Process., 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)

EHSS: An Efficient Hybrid-supervised Symmetric Stereo Matching Network. - Dapeng Zhang; Peng Zhi; Binbin Yong; Jin-Qiang Wang; Yufeng Hou; Lan Guo; Qingguo Zhou; Rui Zhou 005 (ITSC, 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)

DST-GTN: Dynamic Spatio-Temporal Graph Transformer Network for Traffic Forecasting. - Songtao Huang; Hongjin Song; Tianqi Jiang; Akbar Telikani; Jun Shen 001; Qingguo Zhou; Binbin Yong; Qiang Wu 010 (CoRR, 2024)

Improved Tibetan Word Vectors Models Based on Position Information Fusion. - Hui Lv; Hao Lv; Liu Yang; Jun Shen 001; La Duo; Yan Li 126; Qingguo Zhou; Binbin Yong (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2024)

Deep Spatio-Temporal Fuzzy Model for NDVI Forecasting. - Zhao Su; Jun Shen 001; Yu Sun; Rizhen Hu; Qingguo Zhou; Binbin Yong (IEEE Trans. Fuzzy Syst., 2025)

Electrical load forecasting based on the fusion of multi-scale features extracted by using neural ordinary differential equation. - Heng Zhou 009; Qingguo Zhou; Xiaorun Tang; Jun Shen 001; Binbin Yong; Yuanming Huang (J. Supercomput., 2025)