Huafeng Qin

Orcid: 0000-0003-4911-0393

According to our database1, Huafeng Qin authored at least 34 papers between 2011 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Memory-Augmented Autoencoder Based Continuous Authentication on Smartphones With Conditional Transformer GANs.
IEEE Trans. Mob. Comput., May, 2024

AG-NAS: An Attention GRU-Based Neural Architecture Search for Finger-Vein Recognition.
IEEE Trans. Inf. Forensics Secur., 2024

Adversarial Masking Contrastive Learning for vein recognition.
CoRR, 2024

EmMixformer: Mix transformer for eye movement recognition.
CoRR, 2024

2023
Adaptive Deep Feature Fusion for Continuous Authentication With Data Augmentation.
IEEE Trans. Mob. Comput., October, 2023

Local Attention Transformer-Based Full-View Finger-Vein Identification.
IEEE Trans. Circuits Syst. Video Technol., June, 2023

An In Situ Detection System for Obtaining IRM Acquisition Curves and Alternating Field Demagnetization Remanence Curves of Rocks.
IEEE Trans. Instrum. Meas., 2023

Label Enhancement-Based Multiscale Transformer for Palm-Vein Recognition.
IEEE Trans. Instrum. Meas., 2023

Transformer Based Defense GAN Against Palm-Vein Adversarial Attacks.
IEEE Trans. Inf. Forensics Secur., 2023

Adversarial AutoMixup.
CoRR, 2023

Towards Inference of Original Graph Data Information from Graph Embeddings.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
A deep ensemble learning method for single finger-vein identification.
Frontiers Neurorobotics, September, 2022

Controlling the Quality of GAN-Based Generated Images for Predictions Tasks.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2022

2021
Multi-Scale and Multi-Direction GAN for CNN-Based Single Palm-Vein Identification.
IEEE Trans. Inf. Forensics Secur., 2021

Adaptive Power Iteration Clustering.
Knowl. Based Syst., 2021

Hand-Dorsa Vein Recognition Based on Local Deep Feature.
Proceedings of the Cognitive Systems and Information Processing, 2021

Ensemble Deep Learning Based Single Finger-Vein Recognition.
Proceedings of the Cognitive Systems and Information Processing, 2021

2020
Finger-Vein Pattern Restoration With Generative Adversarial Network.
IEEE Access, 2020

End-to-End Generative Adversarial Network for Palm-Vein Recognition.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2020

2019
BIM<sup>2</sup>RT: BWAS-immune mechanism based multipath reliable transmission with fault tolerance in wireless sensor networks.
Swarm Evol. Comput., 2019

A Template Generation and Improvement Approach for Finger-Vein Recognition.
Inf., 2019

Finger-Vein Quality Assessment Based on Deep Features From Grayscale and Binary Images.
Int. J. Pattern Recognit. Artif. Intell., 2019

An Iterative Deep Neural Network for Hand-Vein Verification.
IEEE Access, 2019

2018
Deep Representation for Finger-Vein Image-Quality Assessment.
IEEE Trans. Circuits Syst. Video Technol., 2018

Finger-vein image quality evaluation based on the representation of grayscale and binary image.
Multim. Tools Appl., 2018

2017
Deep Representation-Based Feature Extraction and Recovering for Finger-Vein Verification.
IEEE Trans. Inf. Forensics Secur., 2017

Deep neural networks-based rolling bearing fault diagnosis.
Microelectron. Reliab., 2017

Finger-vein verification based on the curvature in Radon space.
Expert Syst. Appl., 2017

2015
Finger-Vein Quality Assessment by Representation Learning from Binary Images.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2013
Finger-Vein Verification Based on Multi-Features Fusion.
Sensors, 2013

2012
A Kernel Gabor-Based Weighted Region Covariance Matrix for Face Recognition.
Sensors, 2012

A parallel recurrence method for the fast computation of Zernike moments.
Appl. Math. Comput., 2012

Quality assessment of finger-vein image.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2012

2011
A comment on: "Fast and numerically stable methods for the computation of Zernike moments" by Singh et al. [Pattern Recognition, 43(2010), Pages 2497-2506].
Pattern Recognit., 2011


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