Binbin Yong

46 papers C 1Journal 36Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
CDCU: A centroid drifting causal unlearning method for facial privacy protection.
Neurocomputing
Qianfu Qiu, Chuanxi Chen, Jun Shen, Binbin Yong, Jiayin Lin
2026 J jnl
Generative policy-driven HAC reinforcement learning for autonomous driving incident response.
Future Gener. Comput. Syst.
Hongtao Zhang, Jin-Qiang Wang, Shengjie Zhang, Yuanbo Jiang, Mengling Li, Binbin Yong, Qingguo Zhou, Xiaokang Zhou
2026 J jnl
KANFIS: A Neuro-Symbolic Framework for Interpretable and Uncertainty-Aware Learning.
CoRR
Binbin Yong, Haoran Pei, Jun Shen, Haoran Li, Qingguo Zhou, Zhao Su
2026 J jnl
MS-BFIRNet: Fine-grained Background Injection and Foreground Reconstruction with multi-supervision for few-shot segmentation.
Displays
Lan Guo, Yu Shao, Xuyang Li, Jinqiang Wang, Yuanbo Jiang, Binbin Yong, Chuanyi Liu, Qingguo Zhou
2026 J jnl
Physics-informed continuous-time reinforcement learning with data-driven approach for robotic arm manipulation.
J. Ind. Inf. Integr.
Jin-Qiang Wang, Lirong Song, Jun Shen, Binbin Yong, Xiaoteng Han, Yuanbo Jiang, Mona Raoufi, Qingguo Zhou
2025 J jnl
Deep Spatio-Temporal Fuzzy Model for NDVI Forecasting.
IEEE Trans. Fuzzy Syst.
Zhao Su, Jun Shen, Yu Sun, Rizhen Hu, Qingguo Zhou, Binbin Yong
2025 J jnl
Deep-Learning-Empowered Detection of Large-Language-Model-Based Generative Content in Educational Tasks.
IEEE Trans. Learn. Technol.
Zhao Su, Jun Shen, Qingguo Zhou, Binbin Yong
2025 J jnl
Electrical load forecasting based on the fusion of multi-scale features extracted by using neural ordinary differential equation.
J. Supercomput.
Heng Zhou, Qingguo Zhou, Xiaorun Tang, Jun Shen, Binbin Yong, Yuanming Huang
2025 J jnl
FoodFlavorNet: A Multimodal Deep Learning Model for Food Flavor Recognition.
IEEE Trans. Consumer Electron.
Zhao Su, Jun Shen, Qingguo Zhou, Binbin Yong
2025 J jnl
SL-ANFIS-LSTM: A Structure Learnable Fuzzy Neural Network for Ultra-Short-Term PV Power Forecasting.
IEEE Trans. Fuzzy Syst.
Zhao Su, Jun Shen, Qingguo Zhou, Binbin Yong
2024 J jnl
DST-GTN: Dynamic Spatio-Temporal Graph Transformer Network for Traffic Forecasting.
CoRR
Songtao Huang, Hongjin Song, Tianqi Jiang, Akbar Telikani, Jun Shen, Qingguo Zhou, Binbin Yong, Qiang Wu
2024 J jnl
Improved Tibetan Word Vectors Models Based on Position Information Fusion.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Hui Lv, Hao Lv, Liu Yang, Jun Shen, La Duo, Yan Li, Qingguo Zhou, Binbin Yong
2023 J jnl
A Novel NODE Approach Combined with LSTM for Short-Term Electricity Load Forecasting.
Future Internet
Songtao Huang, Jun Shen, Qingquan Lv, Qingguo Zhou, Binbin Yong
2023 — conf
EHSS: An Efficient Hybrid-supervised Symmetric Stereo Matching Network.
ITSC
Dapeng Zhang, Peng Zhi, Binbin Yong, Jin-Qiang Wang, Yufeng Hou, Lan Guo, Qingguo Zhou, Rui Zhou
2023 C conf
Ensemble Machine Learning Method for Photovoltaic Power Forecasting.
CSCWD
Qingguo Zhou, Xiaorun Tang, Qingquan Lv, Ziyuan Li, Jun Shen, Jinqiang Wang, Binbin Yong
2022 J jnl
Ensemble machine learning approaches for webshell detection in Internet of things environments.
Trans. Emerg. Telecommun. Technol.
Binbin Yong, Wei Wei, Kuan-Ching Li, Jun Shen, Qingguo Zhou, Marcin Wozniak, Dawid Polap, Robertas Damasevicius
2022 J jnl
Multi-features fusion for short-term photovoltaic power prediction.
Intell. Converged Networks
Ming Ma, Xiaorun Tang, Qingquan Lv, Jun Shen, Baixue Zhu, Jinqiang Wang, Binbin Yong
2022 J jnl
Sentence Boundary Disambiguation for Tibetan Based on Attention Mechanism at the Syllable Level.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Fenfang Li, Hui Lv, La Duo, Binbin Yong, Qingguo Zhou
2022 — conf
Towards Improving the Anti-attack Capability of the RangeNet++.
ACCV (Workshops)
Qingguo Zhou, Ming Lei, Peng Zhi, Rui Zhao, Jun Shen, Binbin Yong
2021 J jnl
Automatic ventricular nuclear magnetic resonance image processing with deep learning.
Multim. Tools Appl.
Binbin Yong, Chen Wang, Jun Shen, Fucun Li, Hang Yin, Rui Zhou
2021 J jnl
ClothGAN: generation of fashionable Dunhuang clothes using generative adversarial networks.
Connect. Sci.
Qiang Wu, Baixue Zhu, Binbin Yong, Yongqiang Wei, XueTao Jiang, Rui Zhou, Qingguo Zhou
2021 — conf
Photovoltaic Power Forecasting in Dunhuang based on Recurrent Neural Network.
HPCC/DSS/SmartCity/DependSys
Qingquan Lv, Ming Ma, XueTao Jiang, Meiyu Jiang, Binbin Yong, Jun Shen, Qingguo Zhou
2020 J jnl
A methodology of weed-crop classification based on autonomous models choosing and ensemble.
CoRR
Binbin Yong, XueTao Jiang, Jun Shen, Qingguo Zhou
2020 J jnl
A novel Monte Carlo-based neural network model for electricity load forecasting.
Int. J. Embed. Syst.
Binbin Yong, Zijian Xu, Jun Shen, Huaming Chen, Jianqing Wu, Fucun Li, Qingguo Zhou
2020 J jnl
A research of Monte Carlo optimized neural network for electricity load forecast.
J. Supercomput.
Binbin Yong, Liang Huang, Fucun Li, Jun Shen, Xin Wang, Qingguo Zhou
2020 J jnl
An Edge Based Multi-Agent Auto Communication Method for Traffic Light Control.
Sensors
Qiang Wu, Jianqing Wu, Jun Shen, Binbin Yong, Qingguo Zhou
2020 — conf
An Efficient Tiny Feature Map Network for Real-Time Semantic Segmentation.
ISVC (2)
Hang Huang, Peng Zhi, Haoran Zhou, Yujin Zhang, Qiang Wu, Binbin Yong, Weijun Tan, Qingguo Zhou
2020 J jnl
An intelligent blockchain-based system for safe vaccine supply and supervision.
Int. J. Inf. Manag.
Binbin Yong, Jun Shen, Xin Liu, Fucun Li, Huaming Chen, Qingguo Zhou
2020 J jnl
Deep Autoencoder for Mass Spectrometry Feature Learning and Cancer Detection.
IEEE Access
Qingguo Zhou, Binbin Yong, Qingquan Lv, Jun Shen, Xin Wang
2019 J jnl
Anomaly detection in ad-hoc networks based on deep learning model: A plug and play device.
Ad Hoc Networks
Fang Feng, Xin Liu, Binbin Yong, Rui Zhou, Qingguo Zhou
2019 J jnl
Arrhythmia recognition and classification through deep learning-based approach.
Int. J. Comput. Sci. Eng.
Rui Zhou, Xue Li, Binbin Yong, Zebang Shen, Chen Wang, Qingguo Zhou, Yunshan Cao, Kuan-Ching Li
2019 J jnl
Derivative-based acceleration of general vector machine.
Soft Comput.
Binbin Yong, Fucun Li, Qingquan Lv, Jun Shen, Qingguo Zhou
2019 J jnl
Enhanced Deep Networks for Short-Term and Medium-Term Load Forecasting.
IEEE Access
Lingyi Han, Yuexing Peng, Yonghui Li, Binbin Yong, Qingguo Zhou, Lei Shu
2019 — conf
Ensemble Neural Network Method for Wind Speed Forecasting.
SiPS
Binbin Yong, Fei Qiao, Chen Wang, Jun Shen, Yongqiang Wei, Qingguo Zhou
2019 J jnl
Malicious Web traffic detection for Internet of Things environments.
Comput. Electr. Eng.
Binbin Yong, Xin Liu, Qingchen Yu, Liang Huang, Qingguo Zhou
2019 — conf
Online Ventricular Segmentation System Based on Machine Learning.
DASC/PiCom/DataCom/CyberSciTech
Yilin Hu, Hang Yin, Binbin Yong, Yunshan Cao, Xing Zhou, Rui Zhou, Qingquan Lv, Mingsong Wang
2019 — conf
Short-Term Electricity Demand Forecasting Based on Multiple LSTMs.
BICS
Binbin Yong, Zebang Shen, Yongqiang Wei, Jun Shen, Qingguo Zhou
2019 J jnl
Smart fog based workflow for traffic control networks.
Future Gener. Comput. Syst.
Qiang Wu, Jun Shen, Binbin Yong, Jianqing Wu, Fucun Li, Jinqiang Wang, Qingguo Zhou
2019 J jnl
Statistical study of characteristics of online reading behavior networks in university digital library.
World Wide Web
Lihong Han, Gaofeng Zhang, Binbin Yong, Qiang He, Fang Feng, Qingguo Zhou
2018 J jnl
GVM based intuitive simulation web application for collision detection.
Neurocomputing
Binbin Yong, Jun Shen, Zebang Shen, Huaming Chen, Xin Wang, Qingguo Zhou
2018 J jnl
IoT-based intelligent fitness system.
J. Parallel Distributed Comput.
Binbin Yong, Zijian Xu, Xin Wang, Libin Cheng, Xue Li, Xiang Wu, Qingguo Zhou
2018 — conf
Web Behavior Detection Based on Deep Neural Network.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Binbin Yong, Xin Liu, Yan Liu, Hang Yin, Liang Huang, Qingguo Zhou
2017 J jnl
Intelligent monitor system based on cloud and convolutional neural networks.
J. Supercomput.
Binbin Yong, Gaofeng Zhang, Huaming Chen, Qingguo Zhou
2017 J jnl
L4eRTL: a robust and secure real-time architecture with L4 microkernel and para-virtualised PSE51 partitions.
Int. J. Embed. Syst.
Qingguo Zhou, Rui Zhou, Binbin Yong, Xiaoqiang Wang, Gaofeng Zhang, Hai Jiang, Kuan-Ching Li
2017 — conf
Neural network model with Monte Carlo algorithm for electricity demand forecasting in Queensland.
ACSW
Binbin Yong, Zijian Xu, Jun Shen, Huaming Chen, Yan-Shan Tian, Qingguo Zhou
2017 J jnl
Parallel GPU-based collision detection of irregular vessel wall for massive particles.
Clust. Comput.
Binbin Yong, Jun Shen, Hongyu Sun, Huaming Chen, Qingguo Zhou