Xiaochuan Sun

Orcid: 0000-0002-5101-5953

According to our database1, Xiaochuan Sun authored at least 30 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
Modeling Super-Lightweight Cellular Traffic Prediction via Multiservice and Multimodal Feature Fusion Network.
IEEE Netw. Lett., March, 2024

Mconvkgc: a novel multi-channel convolutional model for knowledge graph completion.
Computing, 2024

2023
A lightweight multi-feature fusion structure for automatic modulation classification.
Phys. Commun., December, 2023

ADRLO: Adaptive deep reinforcement learning-based offloading for edge computing.
Phys. Commun., December, 2023

Temporal Feature-Enhanced Deep Reinforcement Learning for RAN Slicing With User Mobility.
IEEE Commun. Lett., December, 2023

User Satisfaction-Aware Edge Computation Offloading in 5G Multi-Scenario.
J. Commun. Inf. Networks, September, 2023

Towards Fault Tolerance of Reservoir Computing in Time Series Prediction.
Inf., May, 2023

Spatio-Temporal Analysis of Marine Water Quality Data Based on Cross-Recurrence Plot (CRP) and Cross-Recurrence Quantitative Analysis (CRQA).
Entropy, April, 2023

Small Object Detection Methods in Complex Background: An Overview.
Int. J. Pattern Recognit. Artif. Intell., February, 2023

A Self-Attentional ResNet-LightGBM Model for IoT-Enabled Voice Liveness Detection.
IEEE Internet Things J., 2023

2022
Reservoir Dynamic Interpretability for Time Series Prediction: A Permutation Entropy View.
Entropy, December, 2022

2021
Cellular Traffic Prediction via a Deep Multi-Reservoir Regression Learning Network for Multi-Access Edge Computing.
IEEE Wirel. Commun., 2021

2020
Smoothing-Aided Support Vector Machine Based Nonstationary Video Traffic Prediction Towards B5G Networks.
IEEE Trans. Veh. Technol., 2020

Enhanced Echo-State Restricted Boltzmann Machines for Network Traffic Prediction.
IEEE Internet Things J., 2020

Toward Self-Adaptive Selection of Kernel Functions for Support Vector Regression in IoT-Based Marine Data Prediction.
IEEE Internet Things J., 2020

Recurrence Behavior Statistics of Blast Furnace Gas Sensor Data in Industrial Internet of Things.
IEEE Internet Things J., 2020

Multivariate Seawater Quality Prediction Based on PCA-RVM Supported by Edge Computing Towards Smart Ocean.
IEEE Access, 2020

Smoothed Deep Neural Networks for Marine Sensor Data Prediction.
IEEE Access, 2020

2019
Semantic Concept Network and Deep Walk-based Visual Question Answering.
ACM Trans. Multim. Comput. Commun. Appl., 2019

Distributed interference alignment algorithm in downlink multi-user cooperative networks.
J. Supercomput., 2019

ResInNet: A Novel Deep Neural Network With Feature Reuse for Internet of Things.
IEEE Internet Things J., 2019

Echo-State Restricted Boltzmann Machines: A Perspective on Information Compensation.
IEEE Access, 2019

Collective Efficacy of Support Vector Regression With Smoothness Priority in Marine Sensor Data Prediction.
IEEE Access, 2019

Machine Learning Based Dynamic Correlation on Marine Environmental Data Using Cross-Recurrence Strategy.
IEEE Access, 2019

2018
Experimental and numerical studies on the braiding of carbon fibres over structured end-fittings for the design and manufacture of high performance hybrid shafts.
Prod. Eng., 2018

Recurrent neural system with minimum complexity: A deep learning perspective.
Neurocomputing, 2018

2017
Deep belief echo-state network and its application to time series prediction.
Knowl. Based Syst., 2017

2015
Improved stability criteria for synchronization of chaotic Lur'e systems using sampled-data control.
Neurocomputing, 2015

2011
Toward development of 3D surgical mouse paradigm.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

2009
Range-Free Fast and Rough Nodes Localization Algorithm in Wireless Sensor Networks.
Proceedings of the Fifth International Conference on Information Assurance and Security, 2009


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