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Journal Articles
- 2025
[j24]Heng Zhou, Qingguo Zhou, Xiaorun Tang, Jun Shen, Binbin Yong, Yuanming Huang:
Electrical load forecasting based on the fusion of multi-scale features extracted by using neural ordinary differential equation. J. Supercomput. 81(1): 49 (2025)- 2023
- [j23]Songtao Huang, Jun Shen
, Qingquan Lv, Qingguo Zhou, Binbin Yong:
A Novel NODE Approach Combined with LSTM for Short-Term Electricity Load Forecasting. Future Internet 15(1): 22 (2023) - 2022
- [j22]Binbin Yong, Wei Wei, Kuan-Ching Li, Jun Shen, Qingguo Zhou, Marcin Wozniak, Dawid Polap, Robertas Damasevicius:
Ensemble machine learning approaches for webshell detection in Internet of things environments. Trans. Emerg. Telecommun. Technol. 33(6) (2022) - [j21]Ming Ma, Xiaorun Tang, Qingquan Lv, Jun Shen, Baixue Zhu, Jinqiang Wang, Binbin Yong:
Multi-features fusion for short-term photovoltaic power prediction. Intell. Converged Networks 3(4): 311-324 (2022) - [j20]Fenfang Li, Hui Lv, La Duo, Binbin Yong, Qingguo Zhou:
Sentence Boundary Disambiguation for Tibetan Based on Attention Mechanism at the Syllable Level. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(6): 1-18 (2022) - 2021
- [j19]Qiang Wu, Baixue Zhu, Binbin Yong, Yongqiang Wei, XueTao Jiang, Rui Zhou, Qingguo Zhou:
ClothGAN: generation of fashionable Dunhuang clothes using generative adversarial networks. Connect. Sci. 33(2): 341-358 (2021) - [j18]Binbin Yong, Chen Wang, Jun Shen, Fucun Li, Hang Yin, Rui Zhou:
Automatic ventricular nuclear magnetic resonance image processing with deep learning. Multim. Tools Appl. 80(26): 34103-34119 (2021) - 2020
- [j17]Qingguo Zhou, Binbin Yong, Qingquan Lv, Jun Shen, Xin Wang:
Deep Autoencoder for Mass Spectrometry Feature Learning and Cancer Detection. IEEE Access 8: 45156-45166 (2020) - [j16]Binbin Yong, Zijian Xu, Jun Shen, Huaming Chen, Jianqing Wu, Fucun Li, Qingguo Zhou:
A novel Monte Carlo-based neural network model for electricity load forecasting. Int. J. Embed. Syst. 12(4): 522-533 (2020) - [j15]Binbin Yong, Jun Shen, Xin Liu, Fucun Li, Huaming Chen, Qingguo Zhou:
An intelligent blockchain-based system for safe vaccine supply and supervision. Int. J. Inf. Manag. 52: 102024 (2020) - [j14]Qiang Wu, Jianqing Wu, Jun Shen, Binbin Yong, Qingguo Zhou:
An Edge Based Multi-Agent Auto Communication Method for Traffic Light Control. Sensors 20(15): 4291 (2020) - [j13]Binbin Yong, Liang Huang, Fucun Li, Jun Shen, Xin Wang, Qingguo Zhou:
A research of Monte Carlo optimized neural network for electricity load forecast. J. Supercomput. 76(8): 6330-6343 (2020) - 2019
- [j12]Lingyi Han, Yuexing Peng, Yonghui Li, Binbin Yong, Qingguo Zhou, Lei Shu:
Enhanced Deep Networks for Short-Term and Medium-Term Load Forecasting. IEEE Access 7: 4045-4055 (2019) - [j11]Fang Feng, Xin Liu, Binbin Yong, Rui Zhou, Qingguo Zhou:
Anomaly detection in ad-hoc networks based on deep learning model: A plug and play device. Ad Hoc Networks 84: 82-89 (2019) - [j10]Binbin Yong, Xin Liu, Qingchen Yu, Liang Huang, Qingguo Zhou:
Malicious Web traffic detection for Internet of Things environments. Comput. Electr. Eng. 77: 260-272 (2019) - [j9]Qiang Wu, Jun Shen, Binbin Yong, Jianqing Wu, Fucun Li, Jinqiang Wang, Qingguo Zhou:
Smart fog based workflow for traffic control networks. Future Gener. Comput. Syst. 97: 825-835 (2019) - [j8]Rui Zhou, Xue Li, Binbin Yong, Zebang Shen, Chen Wang, Qingguo Zhou, Yunshan Cao, Kuan-Ching Li:
Arrhythmia recognition and classification through deep learning-based approach. Int. J. Comput. Sci. Eng. 19(4): 506-517 (2019) - [j7]Binbin Yong, Fucun Li, Qingquan Lv, Jun Shen, Qingguo Zhou:
Derivative-based acceleration of general vector machine. Soft Comput. 23(3): 987-995 (2019) - [j6]Lihong Han, Gaofeng Zhang, Binbin Yong, Qiang He, Fang Feng, Qingguo Zhou:
Statistical study of characteristics of online reading behavior networks in university digital library. World Wide Web 22(3): 1175-1187 (2019) - 2018
- [j5]Binbin Yong, Jun Shen, Zebang Shen, Huaming Chen, Xin Wang, Qingguo Zhou:
GVM based intuitive simulation web application for collision detection. Neurocomputing 279: 63-73 (2018) - [j4]Binbin Yong, Zijian Xu, Xin Wang, Libin Cheng, Xue Li, Xiang Wu, Qingguo Zhou:
IoT-based intelligent fitness system. J. Parallel Distributed Comput. 118(Part): 14-21 (2018) - 2017
- [j3]Binbin Yong, Jun Shen, Hongyu Sun, Huaming Chen, Qingguo Zhou:
Parallel GPU-based collision detection of irregular vessel wall for massive particles. Clust. Comput. 20(3): 2591-2603 (2017) - [j2]Qingguo Zhou, Rui Zhou, Binbin Yong, Xiaoqiang Wang, Gaofeng Zhang, Hai Jiang, Kuan-Ching Li:
L4eRTL: a robust and secure real-time architecture with L4 microkernel and para-virtualised PSE51 partitions. Int. J. Embed. Syst. 9(6): 583-594 (2017) - [j1]Binbin Yong, Gaofeng Zhang, Huaming Chen, Qingguo Zhou:
Intelligent monitor system based on cloud and convolutional neural networks. J. Supercomput. 73(7): 3260-3276 (2017)
Conference and Workshop Papers
- 2023
- [c10]Qingguo Zhou, Xiaorun Tang, Qingquan Lv, Ziyuan Li, Jun Shen, Jinqiang Wang, Binbin Yong:
Ensemble Machine Learning Method for Photovoltaic Power Forecasting. CSCWD 2023: 332-337 - [c9]Dapeng Zhang, Peng Zhi, Binbin Yong, Jin-Qiang Wang, Yufeng Hou, Lan Guo, Qingguo Zhou, Rui Zhou:
EHSS: An Efficient Hybrid-supervised Symmetric Stereo Matching Network. ITSC 2023: 1044-1051 - 2022
- [c8]Qingguo Zhou, Ming Lei, Peng Zhi, Rui Zhao, Jun Shen, Binbin Yong:
Towards Improving the Anti-attack Capability of the RangeNet++. ACCV (Workshops) 2022: 60-70 - 2021
- [c7]Qingquan Lv, Ming Ma, XueTao Jiang, Meiyu Jiang, Binbin Yong, Jun Shen, Qingguo Zhou:
Photovoltaic Power Forecasting in Dunhuang based on Recurrent Neural Network. HPCC/DSS/SmartCity/DependSys 2021: 1346-1352 - 2020
- [c6]Hang Huang, Peng Zhi, Haoran Zhou, Yujin Zhang, Qiang Wu, Binbin Yong, Weijun Tan, Qingguo Zhou:
An Efficient Tiny Feature Map Network for Real-Time Semantic Segmentation. ISVC (2) 2020: 332-343 - 2019
- [c5]Binbin Yong, Zebang Shen, Yongqiang Wei, Jun Shen, Qingguo Zhou:
Short-Term Electricity Demand Forecasting Based on Multiple LSTMs. BICS 2019: 192-200 - [c4]Yilin Hu, Hang Yin, Binbin Yong, Yunshan Cao, Xing Zhou, Rui Zhou, Qingquan Lv, Mingsong Wang:
Online Ventricular Segmentation System Based on Machine Learning. DASC/PiCom/DataCom/CyberSciTech 2019: 309-314 - [c3]Binbin Yong, Fei Qiao, Chen Wang, Jun Shen, Yongqiang Wei, Qingguo Zhou:
Ensemble Neural Network Method for Wind Speed Forecasting. SiPS 2019: 31-36 - 2018
- [c2]Binbin Yong, Xin Liu, Yan Liu, Hang Yin, Liang Huang, Qingguo Zhou:
Web Behavior Detection Based on Deep Neural Network. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 1911-1916 - 2017
- [c1]Binbin Yong, Zijian Xu, Jun Shen, Huaming Chen, Yan-Shan Tian, Qingguo Zhou:
Neural network model with Monte Carlo algorithm for electricity demand forecasting in Queensland. ACSW 2017: 47:1-47:7
Informal and Other Publications
- 2024
- [i2]Songtao Huang, Hongjin Song, Tianqi Jiang, Akbar Telikani, Jun Shen, Qingguo Zhou, Binbin Yong, Qiang Wu:
DST-GTN: Dynamic Spatio-Temporal Graph Transformer Network for Traffic Forecasting. CoRR abs/2404.11996 (2024) - 2020
- [i1]Binbin Yong, XueTao Jiang, Jun Shen, Qingguo Zhou:
A methodology of weed-crop classification based on autonomous models choosing and ensemble. CoRR abs/2010.14708 (2020)
Coauthor Index
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