Yao Chen

About

Yao Chen received the M.Sc. degree in software engineering from the College of Computer Science, University of Electronic Science and Technology of China, Chengdu, China, in 2008 and a Ph.D. degree in Machine Intelligence from Data Intelligence and Computing Arts Laboratory, the College of Computer Science, Sichuan University, China, in 2021. He is currently an Associate Professor at the School of Mathematics and Computer Science, Panzhihua University, Panzhihua, China. His research interests include neural networks, medical time series, and biomedical engineering.

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Education

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Publications (8)

• State-Dependent Variable Fractional-Order Hyperchaotic Dynamics in a Coupled Quadratic Map: A Novel System for High-Performance Image Protection
  Fractal and Fractional 2025 DOI: 10.3390/fractalfract9120792
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• Two-Dimensional Coupling-Enhanced Cubic Hyperchaotic Map with Exponential Parameters: Construction, Analysis, and Application in Hierarchical Significance-Aware Multi-Image Encryption
  Axioms 2025 DOI: 10.3390/axioms14120901
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• Integrating Fractional-Order Hopfield Neural Network with Differentiated Encryption: Achieving High-Performance Privacy Protection for Medical Images
  Fractal and Fractional 2025 DOI: 10.3390/fractalfract9070426
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• Supervised Convolutional Encoder-Decoder With Gated Linear Units for Detecting Fetal R-Peaks
  IEEE Access 2025 DOI: 10.1109/access.2025.3525555
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• End-to-end heart sound segmentation using deep convolutional recurrent network
  Complex & Intelligent Systems 2021 DOI: 10.1007/s40747-021-00325-w
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• Hierarchical Regulated Iterative Network for Joint Task of Music Detection and Music Relative Loudness Estimation
  IEEE/ACM Transactions on Audio, Speech, and Language Processing 2021 DOI: 10.1109/taslp.2020.3030484
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• Heart sound segmentation via Duration Long–Short Term Memory neural network
  Applied Soft Computing 2020 DOI: 10.1016/j.asoc.2020.106540
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• An angle-based method for measuring the semantic similarity between visual and textual features
  Soft Computing 2019 DOI: 10.1007/s00500-018-3051-y
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