Jingfei He

Orcid: 0000-0002-5792-4103

According to our database1, Jingfei He authored at least 30 papers between 2008 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Structured Low-Rank Tensor Completion for IoT Spatiotemporal High-Resolution Sensing Data Reconstruction.
IEEE Internet Things J., 2024

2023
Bi-smooth constraints for accelerated dynamic MRI with low-rank plus sparse tensor decomposition.
Biomed. Signal Process. Control., April, 2023

Dataset.
Dataset, January, 2023

GPF-Net: Graph-Polarized Fusion Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2023

Hybrid Low-Rank and Sparsity Constraint With Hankel Structure Preservation for Simultaneous Seismic Reconstruction and Denoising.
IEEE Geosci. Remote. Sens. Lett., 2023

ClusTop: An unsupervised and integrated text clustering and topic extraction framework.
CoRR, 2023

2022
Low-rank tensor completion based on tensor train rank with partially overlapped sub-blocks.
Signal Process., 2022

Missing and Corrupted Data Recovery in Wireless Sensor Networks Based on Weighted Robust Principal Component Analysis.
Sensors, 2022

A Subspace Approach to Sparse-Sampling-Based Multi-Attribute Data Aggregation in IoT.
IEEE Internet Things J., 2022

Denoising 3D magnetic resonance images based on weighted tensor nuclear norm minimization using balanced nonlocal patch tensors.
Biomed. Signal Process. Control., 2022

2021
Recovery of Corrupted Data in Wireless Sensor Networks Using Tensor Robust Principal Component Analysis.
IEEE Commun. Lett., 2021

Prediction of MoRFs based on sequence properties and convolutional neural networks.
BioData Min., 2021

2020
A Subspace Approach to Sparse Sampling Based Data Gathering in Wireless Sensor Networks.
Sensors, 2020

Environmental Monitoring in Wireless Sensor Networks using Structured Matrix Completion.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Real-Time Data Recovery in Wireless Sensor Networks Using Spatiotemporal Correlation Based on Sparse Representation.
Wirel. Commun. Mob. Comput., 2019

Low-Energy Data Collection in Wireless Sensor Networks Based on Matrix Completion.
Sensors, 2019

Flattening the Seismic Data for Optimal Noise Attenuation.
IEEE Geosci. Remote. Sens. Lett., 2019

Compressive Multi-Attribute Data Gathering Using Hankel Matrix in Wireless Sensor Networks.
IEEE Commun. Lett., 2019

Multi-Attribute Data Recovery in Wireless Sensor Networks With Joint Sparsity and Low-Rank Constraints Based on Tensor Completion.
IEEE Access, 2019

2018
Truncated Nuclear Norm Minimization Based Group Sparse Representation for Image Restoration.
SIAM J. Imaging Sci., 2018

2017
Selection order framework algorithm for compressed sensing.
Signal Process., 2017

Compressive data gathering with low-rank constraints for Wireless Sensor networks.
Signal Process., 2017

A Student Information Management System Based on Fingerprint Identification and Data Security Transmission.
J. Electr. Comput. Eng., 2017

Fusion Forward-Backward Pursuit Algorithm for Compressed Sensing.
Int. J. Wirel. Inf. Networks, 2017

2016
Accelerated High-Dimensional MR Imaging With Sparse Sampling Using Low-Rank Tensors.
IEEE Trans. Medical Imaging, 2016

Improvement of Compressive Sampling and Matching Pursuit Algorithm Based on Double Estimation.
J. Commun., 2016

The Improvement of Compressive Sampling and Matching Pursuit Algorithm Based on Pre-estimation.
Int. J. Wirel. Inf. Networks, 2016

Data recovery in heterogeneous wireless sensor networks based on low-rank tensors.
Proceedings of the IEEE Symposium on Computers and Communication, 2016

2015
Data Recovery in Wireless Sensor Networks With Joint Matrix Completion and Sparsity Constraints.
IEEE Commun. Lett., 2015

2008
Dynamic Modeling of Large Scale Heavy Duty Grippers Based on the Response Dead Zone of Counteracting Force.
Proceedings of the Intelligent Robotics and Applications, First International Conference, 2008


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