Fanlong Zhang

Orcid: 0000-0003-1449-389X

According to our database1, Fanlong Zhang authored at least 54 papers between 2011 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Intelligent code search aids edge software development.
J. Cloud Comput., December, 2024

Towards real-time non-preemptive multicast scheduling in reconfigurable data center networks.
Peer Peer Netw. Appl., November, 2024

Distributed and latency-aware beaconing for asynchronous duty-cycled IoT networks.
Peer Peer Netw. Appl., November, 2024

Defect Prediction via Tree-Based Encoding with Hybrid Granularity for Software Sustainability.
IEEE Trans. Sustain. Comput., 2024

DSCAPS: A decentralized smart contract auditing platform based on sidechain.
Inf. Sci., 2024

Multi-scale Quaternion CNN and BiGRU with Cross Self-attention Feature Fusion for Fault Diagnosis of Bearing.
CoRR, 2024

Efficient Online Path Selection and Workload Allocation for In-Network Computing in MEC.
Proceedings of the Wireless Artificial Intelligent Computing Systems and Applications, 2024

Maintaining Data Freshness in Multi-channel Multi-hop Wireless Networks.
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

2023
Double constrained discriminative least squares regression for image classification.
Inf. Sci., November, 2023

Automatic depression recognition by intelligent speech signal processing: A systematic survey.
CAAI Trans. Intell. Technol., September, 2023

Clone consistent-defect prediction based on deep learning method.
Inf. Sci., July, 2023

Cross-project clone consistent-defect prediction via transfer-learning method.
Inf. Sci., July, 2023

Double truncated nuclear norm-based matrix decomposition with application to background modeling.
J. Ambient Intell. Humaniz. Comput., 2023

Code Clone Detection via Software Visualization Representation Learning.
Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023

2022
Graph-structure constraint and Schatten p-norm-based unsupervised domain adaptation for image classification.
J. Ambient Intell. Humaniz. Comput., 2022

Orthogonal autoencoder regression for image classification.
Inf. Sci., 2022

Denoising Low-Rank Discrimination based Least Squares Regression for image classification.
Inf. Sci., 2022

2021
Triple-Regularized Latent Subspace Discriminative Regression for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Segmentation of Brain MR Image Using Modified Student's t-Mixture Model.
J. Medical Imaging Health Informatics, 2021

Double L<sub>2, p</sub>-norm based PCA for feature extraction.
Inf. Sci., 2021

An empirical study on clone consistency prediction based on machine learning.
Inf. Softw. Technol., 2021

Local median based linear regression classification for biometric recognition.
Comput. Electr. Eng., 2021

Unsupervised domain adaptation based on cluster matching and Fisher criterion for image classification.
Comput. Electr. Eng., 2021

Scalable and Modular Robustness Analysis of Deep Neural Networks.
Proceedings of the Programming Languages and Systems - 19th Asian Symposium, 2021

2020
Hyperspectral image denoising based on low-rank coefficients and orthonormal dictionary.
Signal Process., 2020

Improving Maintenance-Consistency Prediction During Code Clone Creation.
IEEE Access, 2020

SVDTWDD Method for High Correct Recognition Rate Classifier With Appropriate Rejection Recognition Regions.
IEEE Access, 2020

Hyperspectral Image Restoration for Non-additive Noise.
Proceedings of the Pattern Recognition and Computer Vision, Third Chinese Conference, 2020

2019
Discriminant maximum margin projections for face recognition.
Multim. Tools Appl., 2019

Structure-constrained discriminative dictionary learning based on Schatten <i>p</i>-norm for face recognition.
Digit. Signal Process., 2019

A Fast Scene Text Detector Using Knowledge Distillation.
IEEE Access, 2019

Graph-Regularized Discriminative Analysis-Synthesis Dictionary Pair Learning for Image Classification.
IEEE Access, 2019

Cross-Project Code Clone Consistency Prediction.
Proceedings of the International Conference on Artificial Intelligence and Advanced Manufacturing, 2019

2018
Local descriptor margin projections (LDMP) for face recognition.
Int. J. Mach. Learn. Cybern., 2018

Matrix completion via capped nuclear norm.
IET Image Process., 2018

Robust Recovery of Corrupted Image Data Based on L<sub>1-2</sub> Metric.
IEEE Access, 2018

Fusing DTCWT and LBP Based Features for Rotation, Illumination and Scale Invariant Texture Classification.
IEEE Access, 2018

2017
Nuclear Norm Based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Predicting change consistency in a clone group.
J. Syst. Softw., 2017

Local graph embedding based on maximum margin criterion via fuzzy set.
Fuzzy Sets Syst., 2017

Truncated Nuclear Norm Based Low Rank Embedding.
Proceedings of the Biometric Recognition - 12th Chinese Conference, 2017

Structured Discriminative Dictionary Learning Based on Schatten-p Norm Low-Rank Representation.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

Robust Principal Component Analysis Based on L1-2 Metric.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

2016
Double Low Rank Matrix Recovery for Saliency Fusion.
IEEE Trans. Image Process., 2016

Learning discriminative singular value decomposition representation for face recognition.
Pattern Recognit., 2016

Structural Orthogonal Procrustes Regression for Face Recognition with Pose Variations and Misalignment.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Predicting Consistent Clone Change.
Proceedings of the 27th IEEE International Symposium on Software Reliability Engineering, 2016

2015
Nuclear Norm-Based 2-DPCA for Extracting Features From Images.
IEEE Trans. Neural Networks Learn. Syst., 2015

Double Nuclear Norm-Based Matrix Decomposition for Occluded Image Recovery and Background Modeling.
IEEE Trans. Image Process., 2015

Robust nuclear norm regularized regression for face recognition with occlusion.
Pattern Recognit., 2015

Object Extraction from Bounding Box Prior with Double Sparse Reconstruction.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

2014
Nuclear Norm based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes.
CoRR, 2014

2013
Nuclear Norm Based 2DPCA.
Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013

2011
A Linear Subspace Learning Approach via Low Rank Decomposition.
Proceedings of the Second International Conference on Innovations in Bio-inspired Computing and Applications, 2011


  Loading...