Binbin Yong

According to our database, Binbin Yong authored at least 38 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Electrical load forecasting based on the fusion of multi-scale features extracted by using neural ordinary differential equation.

Heng Zhou, Qingguo Zhou, Xiaorun Tang, Jun Shen, Binbin Yong, Yuanming Huang

J. Supercomput., January, 2025

Deep Spatio-Temporal Fuzzy Model for NDVI Forecasting.

Zhao Su, Jun Shen, Yu Sun, Rizhen Hu, Qingguo Zhou, Binbin Yong

IEEE Trans. Fuzzy Syst., January, 2025

2024

Improved Tibetan Word Vectors Models Based on Position Information Fusion.

Hui Lv, Hao Lv, Liu Yang, Jun Shen, La Duo, Yan Li, Qingguo Zhou, Binbin Yong

ACM Trans. Asian Low Resour. Lang. Inf. Process., November, 2024

DST-GTN: Dynamic Spatio-Temporal Graph Transformer Network for Traffic Forecasting.

Songtao Huang, Hongjin Song, Tianqi Jiang, Akbar Telikani, Jun Shen, Qingguo Zhou, Binbin Yong, Qiang Wu

CoRR, 2024

2023

A Novel NODE Approach Combined with LSTM for Short-Term Electricity Load Forecasting.

Songtao Huang, Jun Shen, Qingquan Lv, Qingguo Zhou, Binbin Yong

Future Internet, 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

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Ensemble Machine Learning Method for Photovoltaic Power Forecasting.

Qingguo Zhou, Xiaorun Tang, Qingquan Lv, Ziyuan Li, Jun Shen, Jinqiang Wang, Binbin Yong

Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

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., November, 2022

Multi-features fusion for short-term photovoltaic power prediction.

Ming Ma, Xiaorun Tang, Qingquan Lv, Jun Shen, Baixue Zhu, Jinqiang Wang, Binbin Yong

Intell. Converged Networks, 2022

Ensemble machine learning approaches for webshell detection in Internet of things environments.

Binbin Yong, Wei Wei, Kuan-Ching Li, Jun Shen, Qingguo Zhou, Marcin Wozniak, Dawid Polap, Robertas Damasevicius

Trans. Emerg. Telecommun. Technol., 2022

Towards Improving the Anti-attack Capability of the RangeNet++.

Qingguo Zhou, Ming Lei, Peng Zhi, Rui Zhao, Jun Shen, Binbin Yong

Proceedings of the Computer Vision - ACCV 2022 Workshops, 2022

2021

Automatic ventricular nuclear magnetic resonance image processing with deep learning.

Binbin Yong, Chen Wang, Jun Shen, Fucun Li, Hang Yin, Rui Zhou

Multim. Tools Appl., 2021

ClothGAN: generation of fashionable Dunhuang clothes using generative adversarial networks.

Qiang Wu, Baixue Zhu, Binbin Yong, Yongqiang Wei, XueTao Jiang, Rui Zhou, Qingguo Zhou

Connect. Sci., 2021

Photovoltaic Power Forecasting in Dunhuang based on Recurrent Neural Network.

Qingquan Lv, Ming Ma, XueTao Jiang, Meiyu Jiang, Binbin Yong, Jun Shen, Qingguo Zhou

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

2020

A research of Monte Carlo optimized neural network for electricity load forecast.

Binbin Yong, Liang Huang, Fucun Li, Jun Shen, Xin Wang, Qingguo Zhou

J. Supercomput., 2020

An Edge Based Multi-Agent Auto Communication Method for Traffic Light Control.

Qiang Wu, Jianqing Wu, Jun Shen, Binbin Yong, Qingguo Zhou

Sensors, 2020

An intelligent blockchain-based system for safe vaccine supply and supervision.

Binbin Yong, Jun Shen, Xin Liu, Fucun Li, Huaming Chen, Qingguo Zhou

Int. J. Inf. Manag., 2020

A novel Monte Carlo-based neural network model for electricity load forecasting.

Binbin Yong, Zijian Xu, Jun Shen, Huaming Chen, Jianqing Wu, Fucun Li, Qingguo Zhou

Int. J. Embed. Syst., 2020

A methodology of weed-crop classification based on autonomous models choosing and ensemble.

Binbin Yong, XueTao Jiang, Jun Shen, Qingguo Zhou

CoRR, 2020

Deep Autoencoder for Mass Spectrometry Feature Learning and Cancer Detection.

Qingguo Zhou, Binbin Yong, Qingquan Lv, Jun Shen, Xin Wang

IEEE Access, 2020

An Efficient Tiny Feature Map Network for Real-Time Semantic Segmentation.

Hang Huang, Peng Zhi, Haoran Zhou, Yujin Zhang, Qiang Wu, Binbin Yong, Weijun Tan, Qingguo Zhou

Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

2019

Statistical study of characteristics of online reading behavior networks in university digital library.

Lihong Han, Gaofeng Zhang, Binbin Yong, Qiang He, Fang Feng, Qingguo Zhou

World Wide Web, 2019

Derivative-based acceleration of general vector machine.

Binbin Yong, Fucun Li, Qingquan Lv, Jun Shen, Qingguo Zhou

Soft Comput., 2019

Arrhythmia recognition and classification through deep learning-based approach.

Rui Zhou, Xue Li, Binbin Yong, Zebang Shen, Chen Wang, Qingguo Zhou, Yunshan Cao, Kuan-Ching Li

Int. J. Comput. Sci. Eng., 2019

Smart fog based workflow for traffic control networks.

Qiang Wu, Jun Shen, Binbin Yong, Jianqing Wu, Fucun Li, Jinqiang Wang, Qingguo Zhou

Future Gener. Comput. Syst., 2019

Malicious Web traffic detection for Internet of Things environments.

Binbin Yong, Xin Liu, Qingchen Yu, Liang Huang, Qingguo Zhou

Comput. Electr. Eng., 2019

Anomaly detection in ad-hoc networks based on deep learning model: A plug and play device.

Fang Feng, Xin Liu, Binbin Yong, Rui Zhou, Qingguo Zhou

Ad Hoc Networks, 2019

Enhanced Deep Networks for Short-Term and Medium-Term Load Forecasting.

Lingyi Han, Yuexing Peng, Yonghui Li, Binbin Yong, Qingguo Zhou, Lei Shu

IEEE Access, 2019

Ensemble Neural Network Method for Wind Speed Forecasting.

Binbin Yong, Fei Qiao, Chen Wang, Jun Shen, Yongqiang Wei, Qingguo Zhou

Proceedings of the 2019 IEEE International Workshop on Signal Processing Systems, 2019

Online Ventricular Segmentation System Based on Machine Learning.

Yilin Hu, Hang Yin, Binbin Yong, Yunshan Cao, Xing Zhou, Rui Zhou, Qingquan Lv, Mingsong Wang

Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

Short-Term Electricity Demand Forecasting Based on Multiple LSTMs.

Binbin Yong, Zebang Shen, Yongqiang Wei, Jun Shen, Qingguo Zhou

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

2018

IoT-based intelligent fitness system.

Binbin Yong, Zijian Xu, Xin Wang, Libin Cheng, Xue Li, Xiang Wu, Qingguo Zhou

J. Parallel Distributed Comput., 2018

GVM based intuitive simulation web application for collision detection.

Binbin Yong, Jun Shen, Zebang Shen, Huaming Chen, Xin Wang, Qingguo Zhou

Neurocomputing, 2018

Web Behavior Detection Based on Deep Neural Network.

Binbin Yong, Xin Liu, Yan Liu, Hang Yin, Liang Huang, Qingguo Zhou

Proceedings of the 2018 IEEE SmartWorld, 2018

2017

Intelligent monitor system based on cloud and convolutional neural networks.

Binbin Yong, Gaofeng Zhang, Huaming Chen, Qingguo Zhou

J. Supercomput., 2017

L4eRTL: a robust and secure real-time architecture with L4 microkernel and para-virtualised PSE51 partitions.

Qingguo Zhou, Rui Zhou, Binbin Yong, Xiaoqiang Wang, Gaofeng Zhang, Hai Jiang, Kuan-Ching Li

Int. J. Embed. Syst., 2017

Parallel GPU-based collision detection of irregular vessel wall for massive particles.

Binbin Yong, Jun Shen, Hongyu Sun, Huaming Chen, Qingguo Zhou

Clust. Comput., 2017

Neural network model with Monte Carlo algorithm for electricity demand forecasting in Queensland.

Binbin Yong, Zijian Xu, Jun Shen, Huaming Chen, Yan-Shan Tian, Qingguo Zhou

Proceedings of the Australasian Computer Science Week Multiconference, 2017