GPU-Memory Coordinated Energy Saving Approach Based on Extreme Learning Machine. - Junke Li; Bing Guo; Yan Shen 001; Deguang Li; Jihe Wang; Yanhui Huang; Qiang Li (HPCC/CSS/ICESS, 2015)

Low-Energy Kernel Scheduling Approach for Energy Saving. - Junke Li; Bing Guo; Yan Shen 001; Deguang Li; Yanhui Huang (ICESS, 2016)

Make Image More Energy Efficient for Mobile OLED Displays. - Deguang Li; Bing Guo; Yan Shen 001; Junke Li; Yanhui Huang (ICESS, 2016)

Software Energy Consumption Estimation at Architecture-Level. - Deguang Li; Bing Guo; Yan Shen 001; Junke Li; Jihe Wang; Yanhui Huang; Qiang Li (ICESS, 2016)

Making Image More Energy Efficient for OLED Smart Devices. - Deguang Li; Bing Guo; Yan Shen 001; Junke Li; Yanhui Huang (Mob. Inf. Syst., 2016)

Software power modeling method at architecture level based on complex networks. - Deguang Li; Bing Guo; Yan Shen 001; Junke Li; Yanhui Huang (Sustain. Comput. Informatics Syst., 2016)

The evolution of open-source mobile applications: An empirical study. - Deguang Li; Bing Guo; Yan Shen 001; Junke Li; Yanhui Huang (J. Softw. Evol. Process., 2017)

Kernel scheduling approach for reducing GPU energy consumption. - Junke Li; Bing Guo; Yan Shen 001; Deguang Li; Yanhui Huang (J. Comput. Sci., 2018)

An energy-efficient algorithm for multi-site application partitioning in MCC. - Wen-Li Zhang; Bing Guo; Yan Shen 001; Deguang Li; Junke Li (Sustain. Comput. Informatics Syst., 2018)

Task Scheduling Approach to Save Energy of Heterogeneous Computing Systems. - Junke Li; Mingjiang Li; Guanyu Wang; Jincheng Zhou; Deguang Li; Yanhui Huang (iThings/GreenCom/CPSCom/SmartData, 2019)

An Improved Dynamic Frequency Scaling Approach for Energy Saving Based RBF Neural Network. - Deguang Li; Ruiling Zhang; Shijie Jia; Yanling Jin; Youzhong Ma; Junke Li (iThings/GreenCom/CPSCom/SmartData, 2019)

An Improved Dynamic Power Management Approach by Process Migration for Multi-Core Systems. - Deguang Li; Ruiling Zhang; Shijie Jia; Yanling Jin; Youzhong Ma; Junke Li (iThings/GreenCom/CPSCom/SmartData, 2019)

A Bit Torrent Traffic Optimization Method for Enhancing the Stability of Network Traffic. - Deguang Li; Yongxin Zhang; Shijie Jia; Dong Liu; Yanling Jin; Yuansheng Wu (Inf., 2019)

Combined Prediction Energy Model at Software Architecture Level. - Junke Li; Kai Liu; Mingjiang Li; Deguang Li (IEEE Access, 2020)

Spatial Attention Based Real-Time Object Detection Network for Internet of Things Devices. - Yongxin Zhang; Peng Zhao; Deguang Li; Kostromitin Konstantin (IEEE Access, 2020)

Improved dynamic frequency-scaling approach for energy-saving-based radial basis function neural network. - Deguang Li; Ruiling Zhang; Shijie Jia; Dong Liu; Yanling Jin; Junke Li (IET Cyper-Phys. Syst.: Theory & Appl., 2020)

Low-power Scheduling Framework for Heterogeneous Architecture under Performance Constraint. - Junke Li; Bing Guo; Yan Shen 001; Deguang Li (KSII Trans. Internet Inf. Syst., 2020)

Minimizing Energy of Heterogeneous Computing Systems by Task Scheduling Approach, . - Junke Li; Junwei Li; Mingjiang Li; Guanyu Wang; Jincheng Zhou; Yu Lu; Deguang Li; Yanhui Huang (J. Circuits Syst. Comput., 2020)

A Wireless Multisensor Node for Long-Term Environmental Parameters Monitoring. - Deguang Li; Tianhao Wu; Xiaohui Li; Qiurui He 002; Zhanyou Cui (J. Electr. Comput. Eng., 2020)

Sparse Features with Fast Guided Filtering for Medical Image Fusion. - Yongxin Zhang; Deguang Li; Ruiling Zhang; Yan Cui (J. Medical Imaging Health Informatics, 2020)

A Parallel Attribute Reduction Method Based on Classification. - Deguang Li; Zhanyou Cui (Complex., 2021)

A Tool for Energy Consumption Monitoring and Analysis of the Android Terminal. - Deguang Li; Zhanyou Cui; Chenguang Bai; Qiurui He 002; Xiaoting Yan (J. Electr. Comput. Eng., 2021)

An Improved Gesture Segmentation Method for Gesture Recognition Based on CNN and YCbCr. - Yan Luo; Gaoxiang Cui; Deguang Li (J. Electr. Comput. Eng., 2021)

A hybrid model based on deep convolutional neural network for medical named entity recognition. - Deguang Li; Yongxin Zhang; Yifan Zhang; Hao Lu; Bo Yu; Shoubo Peng; Youzhong Ma (HPCC/DSS/SmartCity/DependSys, 2022)

Learning State Assessment in Online Education Based on Multiple Facial Features Detection. - Deguang Li; Zhanyou Cui; Fukang Cao; Gaoxiang Cui; Jiaquan Shen; Yongxin Zhang (Comput. Intell. Neurosci., 2022)

Lightweight Deep Network With Context Information and Attention Mechanism for Vehicle Detection in Aerial Image. - Jiaquan Shen; Ningzhong Liu; Han Sun; Deguang Li; Yongxin Zhang (IEEE Geosci. Remote. Sens. Lett., 2022)

Finger Vein Recognition Algorithm Based on Lightweight Deep Convolutional Neural Network. - Jiaquan Shen; Ningzhong Liu; Chenglu Xu; Han Sun; Yushun Xiao; Deguang Li; Yongxin Zhang (IEEE Trans. Instrum. Meas., 2022)

An Anchor-Free Lightweight Deep Convolutional Network for Vehicle Detection in Aerial Images. - Jiaquan Shen; Wangcheng Zhou; Ningzhong Liu; Han Sun; Deguang Li; Yongxin Zhang (IEEE Trans. Intell. Transp. Syst., 2022)

A Hybrid Model Based on Deep Convolutional Network for Medical Named Entity Recognition. - Tingzhong Wang; Yongxin Zhang; Yifan Zhang; Hao Lu; Bo Yu; Shoubo Peng; Youzhong Ma; Deguang Li (J. Electr. Comput. Eng., 2023)

A lightweight self-supervised learning segmentation model for variable and complex high-resolution remote sensing images. - Ji Yong Zhang; Deguang Li; Lin Li Wu; Xin Yao Shi; Bo Wang 145 (Appl. Soft Comput., 2024)

An Instrument Indication Acquisition Algorithm Based on Lightweight Deep Convolutional Neural Network and Hybrid Attention Fine-Grained Features. - Jiaquan Shen; Ningzhong Liu; Han Sun; Deguang Li; Yongxin Zhang (IEEE Trans. Instrum. Meas., 2024)

Optimizing vehicle security: A multiclassification framework using deep transfer learning and metaheuristic-based genetic algorithm optimization. - Hamad Naeem; Farhan Ullah; Ondrej Krejcar; Deguang Li; Danish Vasan (Int. J. Crit. Infrastructure Prot., 2025)

SS-KAN: Self-supervised Kolmogorov-Arnold networks for limited data remote sensing semantic segmentation. - Jiyong Zhang; Zeyan Jin; Yiqian Xia; Xihua Yuan; Yifei Wang; Ning Li; Yinhui Yu; Deguang Li (Neural Networks, 2025)

RMIS-Net: a fast medical image segmentation network based on multilayer perceptron. - Binbin Zhang; Guoliang Xu; Yiying Xing; Nanjie Li; Deguang Li (PeerJ Comput. Sci., 2025)

A deep feature refinement self-supervised learning algorithm for medical image annotation. - Jiyong Zhang; Deguang Li; Yan Wu; Zhengwei Zhao; Yanlei Wang; Yang Li; Binqing Zhang (Appl. Intell., 2025)