Xiong Luo
Orcid: 0000-0002-1929-8447
According to our database1,
Xiong Luo
authored at least 146 papers
between 2004 and 2024.
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Bibliography
2024
Int. J. Parallel Emergent Distributed Syst., September, 2024
UAV-Taken Wind Turbine Image Dehazing With a Double-Patch Lightweight Neural Network.
IEEE Internet Things J., July, 2024
The Impact of Input Types on Smart Contract Vulnerability Detection Performance Based on Deep Learning: A Preliminary Study.
Inf., June, 2024
Diagnosis of Early Mild Cognitive Impairment Based on Associated High-Order Functional Connection Network Generated by Multimodal MRI.
IEEE Trans. Cogn. Dev. Syst., April, 2024
Toward Enhancing Sequence-Optimized Malware Representation With Context-Separated Bi-Directional Long Short-Term Memory and Proximal Policy Optimization.
IEEE Trans. Dependable Secur. Comput., 2024
Eng. Appl. Artif. Intell., 2024
Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning.
CoRR, 2024
2023
Edge-centric effective connection network based on muti-modal MRI for the diagnosis of Alzheimer's disease.
Neurocomputing, October, 2023
Robust Malware identification via deep temporal convolutional network with symmetric cross entropy learning.
IET Softw., August, 2023
A Survey on Autism Care, Diagnosis, and Intervention Based on Mobile Apps Focusing on Usability and Software Design.
Sensors, July, 2023
BERT-based chinese text classification for emergency management with a novel loss function.
Appl. Intell., May, 2023
A Simple but Effective Method for Balancing Detection and Re-Identification in Multi-Object Tracking.
IEEE Trans. Multim., 2023
A Hybrid Deep Transfer Learning Model With Kernel Metric for COVID-19 Pneumonia Classification Using Chest CT Images.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Short-Term Wind Speed and Power Forecasting for Smart City Power Grid With a Hybrid Machine Learning Framework.
IEEE Internet Things J., 2023
Int. J. Web Inf. Syst., 2023
Intell. Data Anal., 2023
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
2022
Effective short text classification via the fusion of hybrid features for IoT social data.
Digit. Commun. Networks, December, 2022
Projective quasi-synchronization of coupled memristive neural networks with uncertainties and impulsive effect.
Frontiers Neurorobotics, September, 2022
SIMPL: Generating Synthetic Overhead Imagery to Address Custom Zero-Shot and Few-Shot Detection Problems.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Denoising temporal convolutional recurrent autoencoders for time series classification.
Inf. Sci., 2022
Improving the performance of tasks offloading for internet of vehicles via deep reinforcement learning methods.
IET Commun., 2022
Guest editorial: Smart communications and networking: architecture, applications, and future challenges.
IET Commun., 2022
Frontiers Comput. Sci., 2022
Autom. Softw. Eng., 2022
Abnormal detection technology of industrial control system based on transfer learning.
Appl. Math. Comput., 2022
Proceedings of the ICBCT'22: The 4th International Conference on Blockchain Technology, Shanghai, China, March 25, 2022
2021
Demand Response for Industrial Micro-Grid Considering Photovoltaic Power Uncertainty and Battery Operational Cost.
IEEE Trans. Smart Grid, 2021
Exponential Synchronization of Delayed Memristor-Based Uncertain Complex-Valued Neural Networks for Image Protection.
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE J. Biomed. Health Informatics, 2021
S-PoDL: A two-stage computational-efficient consensus mechanism for blockchain-enabled multi-access edge computing.
Phys. Commun., 2021
Traditional Chinese medicine symptom normalization approach leveraging hierarchical semantic information and text matching with attention mechanism.
J. Biomed. Informatics, 2021
Soil-Moisture-Sensor-Based Automated Soil Water Content Cycle Classification With a Hybrid Symbolic Aggregate Approximation Algorithm.
IEEE Internet Things J., 2021
Dynamic analysis of disease progression in Alzheimer's disease under the influence of hybrid synapse and spatially correlated noise.
Neurocomputing, 2021
IEICE Trans. Inf. Syst., 2021
An edge computing-based predictive evaluation scheme toward geological drilling data using long short-term memory network.
Trans. Emerg. Telecommun. Technol., 2021
Towards improving detection performance for malware with a correntropy-based deep learning method.
Digit. Commun. Networks, 2021
SIMPL: Generating Synthetic Overhead Imagery to Address Zero-shot and Few-Shot Detection Problems.
CoRR, 2021
BERT-based Chinese Text Classification for Emergency Domain with a Novel Loss Function.
CoRR, 2021
Nonlinear consensus-based autonomous vehicle platoon control under event-triggered strategy in the presence of time delays.
Appl. Math. Comput., 2021
Dynamic analysis of synaptic loss and synaptic compensation in the process of associative memory ability decline in Alzheimer's disease.
Appl. Math. Comput., 2021
Abnormal flow detection in industrial control network based on deep reinforcement learning.
Appl. Math. Comput., 2021
Proceedings of the 2021 World Automation Congress, 2021
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Evolutionary computing assisted deep reinforcement learning for multi-objective integrated energy system management.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021
Proceedings of the ICBCT '21: The 3rd International Conference on Blockchain Technology, 2021
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2021
2020
Vis. Comput., 2020
IEEE Trans. Sustain. Comput., 2020
A Parallel Recommender System Using a Collaborative Filtering Algorithm with Correntropy for Social Networks.
IEEE Trans. Netw. Sci. Eng., 2020
Weaklier Supervised Semantic Segmentation With Only One Image Level Annotation per Category.
IEEE Trans. Image Process., 2020
A Novel Classification Method for a Driver's Cognitive Stress Level by Transferring Interbeat Intervals of the ECG Signal to Pictures.
Sensors, 2020
A robust multilayer extreme learning machine using kernel risk-sensitive loss criterion.
Int. J. Mach. Learn. Cybern., 2020
J. Cloud Comput., 2020
Fixed-time synchronization of fractional order memristive MAM neural networks by sliding mode control.
Neurocomputing, 2020
Frontiers Neurorobotics, 2020
Computer, 2020
Improving Distantly-Supervised Named Entity Recognition for Traditional Chinese Medicine Text via a Novel Back-Labeling Approach.
IEEE Access, 2020
Detecting Defects With Support Vector Machine in Logistics Packaging Boxes for Edge Computing.
IEEE Access, 2020
Event-Triggered Consensus Control for High-Speed Train With Time-Varying Actuator Fault.
IEEE Access, 2020
Fault-Tolerant Platoon Control of Autonomous Vehicles Based on Event-Triggered Control Strategy.
IEEE Access, 2020
Towards Human Activity Recognition and Objective Performance Assessment in Human Patient Simulation: A Case Study.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Proceedings of the 2020 IEEE International Conference on Smart Internet of Things, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the ICBCT'20: The 2nd International Conference on Blockchain Technology, 2020
Secure Hierarchical Processing and Logging of Sensing Data and IoT Events with Blockchain.
Proceedings of the ICBCT'20: The 2nd International Conference on Blockchain Technology, 2020
Towards Accurate Search for E-Commerce in Steel Industry: A Knowledge-Graph-Based Approach.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020
2019
IEEE Trans. Ind. Informatics, 2019
Pinning Synchronization of Coupled Memristive Recurrent Neural Networks with Mixed Time-Varying Delays and Perturbations.
Neural Process. Lett., 2019
A Novel Human Activity Recognition Scheme for Smart Health Using Multilayer Extreme Learning Machine.
IEEE Internet Things J., 2019
A Heterogeneous AdaBoost Ensemble Based Extreme Learning Machines for Imbalanced Data.
Int. J. Cogn. Informatics Nat. Intell., 2019
User behavior prediction in social networks using weighted extreme learning machine with distribution optimization.
Future Gener. Comput. Syst., 2019
On the improvement of positioning accuracy in WiFi-based wireless network using correntropy-based kernel learning algorithms.
Trans. Emerg. Telecommun. Technol., 2019
Entropy, 2019
Study of Three-Dimensional Digital Core Reconstruction Based on Multiple-Point Geostatistics in a Cylindrical Coordinate System.
IEEE Access, 2019
Combining Deep Neural Networks and Classical Time Series Regression Models for Forecasting Patient Flows in Hong Kong.
IEEE Access, 2019
Logical Tree Based Secure Rekeying Management for Smart Devices Groups in IoT Enabled WSN.
IEEE Access, 2019
Proceedings of the Image and Graphics Technologies and Applications, 2019
Proceedings of the 2019 International Conference on Blockchain Technology, 2019
2018
Short-Term Wind Speed Forecasting via Stacked Extreme Learning Machine With Generalized Correntropy.
IEEE Trans. Ind. Informatics, 2018
Sci. Program., 2018
Resource Allocation in the Cognitive Radio Network-Aided Internet of Things for the Cyber-Physical-Social System: An Efficient Jaya Algorithm.
Sensors, 2018
Int. J. Mach. Learn. Cybern., 2018
Towards enhancing stacked extreme learning machine with sparse autoencoder by correntropy.
J. Frankl. Inst., 2018
A unified face identification and resolution scheme using cloud computing in Internet of Things.
Future Gener. Comput. Syst., 2018
Finite-Time Projective Synchronization of Memristor-Based BAM Neural Networks and Applications in Image Encryption.
IEEE Access, 2018
Attention-Based Relation Extraction With Bidirectional Gated Recurrent Unit and Highway Network in the Analysis of Geological Data.
IEEE Access, 2018
Performance Analysis and Evaluation for Active Antenna Arrays Under Three-Dimensional Wireless Channel Model.
IEEE Access, 2018
A Lightweight Digital Signature Based Security Scheme for Human-Centered Internet of Things.
IEEE Access, 2018
Synchronization Control of Memristive Multidirectional Associative Memory Neural Networks and Applications in Network Security Communication.
IEEE Access, 2018
Finite-Time Synchronization of Chaotic Memristive Multidirectional Associative Memory Neural Networks and Applications in Image Encryption.
IEEE Access, 2018
Automatic User Authentication for Privacy-Aware Human Activity Tracking Using Bluetooth Beacons.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Physical Unclonable Function Based Authentication Scheme for Smart Devices in Internet of Things.
Proceedings of the 2018 IEEE International Conference on Smart Internet of Things (SmartIoT), 2018
Proceedings of the 30th Conference on Computational Linguistics and Speech Processing, 2018
An Efficient Jaya Algorithm for Resource Allocation in the Cognitive-Radio-Networks-Aided Internet of Things.
Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018
Depthwise Separable Convolution Feature Learning for Ihomogeneous Rock Image Classification.
Proceedings of the Cognitive Systems and Signal Processing - 4th International Conference, 2018
Proceedings of the 2018 IEEE International Conference on Electro/Information Technology, 2018
2017
IEEE Trans. Ind. Informatics, 2017
IEEE Trans. Hum. Mach. Syst., 2017
A Robust Text Classifier Based on Denoising Deep Neural Network in the Analysis of Big Data.
Sci. Program., 2017
Efficient DV-HOP Localization for Wireless Cyber-Physical Social Sensing System: A Correntropy-Based Neural Network Learning Scheme.
Sensors, 2017
A Quantized Kernel Learning Algorithm Using a Minimum Kernel Risk-Sensitive Loss Criterion and Bilateral Gradient Technique.
Entropy, 2017
Improving Classification Performance through an Advanced Ensemble Based Heterogeneous Extreme Learning Machines.
Comput. Intell. Neurosci., 2017
Rule-Based Human Motion Tracking for Rehabilitation Exercises: Realtime Assessment, Feedback, and Guidance.
IEEE Access, 2017
Enhancing body mechanics training for bedside care activities with a Kinect-based system.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
A feasibility study on using a Kinect-based human motion tracking system to promote safe patient handling.
Proceedings of the IEEE International Conference on Electro Information Technology, 2017
2016
J. Supercomput., 2016
A laguerre neural network-based ADP learning scheme with its application to tracking control in the Internet of Things.
Pers. Ubiquitous Comput., 2016
Regression and classification using extreme learning machine based on L<sub>1</sub>-norm and L<sub>2</sub>-norm.
Neurocomputing, 2016
LiftingDoneRight: A Privacy-Aware Human Motion Tracking System for Healthcare Professionals.
Int. J. Handheld Comput. Res., 2016
Cyber-physical-social-thinking modeling and computing for geological information service system.
Int. J. Distributed Sens. Networks, 2016
IET Softw., 2016
A kernel machine-based secure data sensing and fusion scheme in wireless sensor networks for the cyber-physical systems.
Future Gener. Comput. Syst., 2016
An Entropy-Based Kernel Learning Scheme toward Efficient Data Prediction in Cloud-Assisted Network Environments.
Entropy, 2016
Cognitively Inspired 6D Motion Estimation of a Noncooperative Target Using Monocular RGB-D Images.
Cogn. Comput., 2016
A large-scale web QoS prediction scheme for the Industrial Internet of Things based on a kernel machine learning algorithm.
Comput. Networks, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
A Novel Prediction Scheme for Hot Rolled Strip Thickness Based on Extreme Learning Machine.
Proceedings of the Cognitive Systems and Signal Processing, 2016
Proceedings of the 2016 IEEE International Conference on Electro Information Technology, 2016
Proceedings of the 2016 IEEE International Conference on Electro Information Technology, 2016
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2016
A quantized kernel least mean square scheme with entropy-guided learning for intelligent data analysis.
Proceedings of the 4th International Conference on Cloud Computing and Intelligence Systems, 2016
2015
Online Optimization of Collaborative Web Service QoS Prediction Based on Approximate Dynamic Programming.
Int. J. Distributed Sens. Networks, 2015
Web Service QoS Prediction Based on Adaptive Dynamic Programming Using Fuzzy Neural Networks for Cloud Services.
IEEE Access, 2015
Prediction of Hidden Dangers in Mine Production Using Timeliness Managing Extreme Learning Machine for Cloud Services.
Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015
Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015
2014
Modeling and simulation of passenger mass violence event derived from irregular flights in the airport terminal.
Kybernetes, 2014
A Taylor Based Localization Algorithm for Wireless Sensor Network Using Extreme Learning Machine.
IEICE Trans. Inf. Syst., 2014
Longitudinal control of hypersonic vehicles based on direct heuristic dynamic programming using ANFIS.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Attitude tracking control for hypersonic vehicles based on type-2 fuzzy dynamic characteristic modeling method.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
Proceedings of the 14th IEEE International Conference on Computer and Information Technology, 2014
2013
Stability of direct heuristic dynamic programming for nonlinear tracking control using PID neural network.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013
2012
Cluster Head Optimization Strategy for Wireless Sensor Network Based on Univariate Marginal Distribution Algorithm.
J. Networks, 2012
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012
2011
Fuzzy dynamic characteristic model based attitude control of hypersonic vehicle in gliding phase.
Sci. China Inf. Sci., 2011
2009
Hybrid EDA-based optimal attitude control for a spacecraft in a class of control task.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009
2004
Integrated Optimization of Trajectory Planning for Robot Manipulators Based on Intensified Evolutionary Programming.
Proceedings of the 2004 IEEE International Conference on Robotics and Biomimetics, 2004