kun yang

Employment

• Hangzhou Dianzi University
  2008 - Present

Education

• Harbin Institute of Technology PhD
  2002 - 2008

Projects & Funding

Projects & funding information is unavailable.

Publications (23)

• Adaptive multi-branch CNN of integrating manual features and functional network for driver fatigue detection
  Biomedical Signal Processing and Control 2025 DOI: 10.1016/j.bspc.2024.107262
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• CAMFNet: complex camouflaged object detection via context-aware and adaptive multilevel feature fusion network
  The Visual Computer 2025 DOI: 10.1007/s00371-025-03903-y
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• DSFE: Decoding EEG-Based Finger Motor Imagery Using Feature-Dependent Frequency, Feature Fusion and Ensemble Learning
  IEEE Journal of Biomedical and Health Informatics 2024 DOI: 10.1109/JBHI.2024.3395910
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• Identifying multilayer differential core networks and effective discriminant features for driver fatigue detection
  Biomedical Signal Processing and Control 2024 DOI: 10.1016/j.bspc.2023.105892
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• Automatically Extracting and Utilizing EEG Channel Importance Based on Graph Convolutional Network for Emotion Recognition
  IEEE Journal of Biomedical and Health Informatics 2024 DOI: 10.1109/JBHI.2024.3404146
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• Fast camouflaged object detection via multi-scale feature-enhanced network
  Signal, Image and Video Processing 2024 DOI: 10.1007/s11760-024-03051-1
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• Multi-Granularity Analysis of Brain Networks Assembled With Intra-Frequency and Cross-Frequency Phase Coupling for Human EEG After Stroke
  Frontiers in Computational Neuroscience 2022 DOI: 10.3389/fncom.2022.785397
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• Region-specific network analysis reveals that epigenetic modifications outside transcriptional start sites are tightly linked to mRNA
  IEEE Access 2021 DOI: https://doi.org/10.1109/ACCESS.2021.3053152
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• Ultrasonic images denoising based on calculus of variations
  2019 IEEE 4th International Conference on Signal and Image Processing, ICSIP 2019 2019 DOI: 10.1109/SIPROCESS.2019.8868621
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• Brain Function Networks Reveal Movement-related EEG Potentials Associated with Exercise-induced Fatigue
  Proceedings of the 2018 International Conference on Signal Processing and Machine Learning - SPML '18 2018 DOI: 10.1145/3297067.3297074
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