Yun Lu

Orcid: 0000-0003-0387-7062

Affiliations:
  • Huizhou University, School of Computer Science and Engineering, China
  • Harbin Institute of Technology, Shenzhen Graduate School, China (PhD 2020)


According to our database1, Yun Lu authored at least 14 papers between 2017 and 2023.

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

Timeline

Legend:

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Bibliography

2023
Saliency-Based Semantic Weeds Detection and Classification Using UAV Multispectral Imaging.
IEEE Access, 2023

SD-GAN: A Style Distribution Transfer Generative Adversarial Network for Covid-19 Detection Through X-Ray Images.
IEEE Access, 2023

Breast Cancer Diagnosis Using Lightweight Deep Convolution Neural Network Model.
IEEE Access, 2023

2022
Contactless sleep apnea detection in snoring signals using hybrid deep neural networks targeted for embedded hardware platform with real-time applications.
Biomed. Signal Process. Control., 2022

Cross-Individual Obstructive Obstructive Apnea Detection in Snoring Signals Using Hybrid Deep Neural Networks.
Proceedings of the 5th International Conference on Algorithms, 2022

2021
EEG-Based Emotion Recognition by Exploiting Fused Network Entropy Measures of Complex Networks across Subjects.
Entropy, 2021

Auditory attention decoding from electroencephalography based on long short-term memory networks.
Biomed. Signal Process. Control., 2021

Deep Learning Strategy for Braille Character Recognition.
IEEE Access, 2021

2020
Entropy-Based Pattern Learning Based on Singular Spectrum Analysis Components for Assessment of Physiological Signals.
Complex., 2020

2019
A novel fast nonstationary noise tracking approach based on MMSE spectral power estimator.
Digit. Signal Process., 2019

Fast Nonstationary Noise Tracking Based on Log-Spectral Power MMSE Estimator and Temporal Recursive Averaging.
IEEE Access, 2019

Identification of Emotional Valences via Memory-Informed Deep Neural Network with Entropy Features.
Proceedings of the 4th International Conference on Multimedia Systems and Signal Processing, 2019

2018
Identification of Auditory Object-Specific Attention from Single-Trial Electroencephalogram Signals via Entropy Measures and Machine Learning.
Entropy, 2018

2017
Accelerating the Computation of Entropy Measures by Exploiting Vectors with Dissimilarity.
Entropy, 2017


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