Guoyang Liu
Research Associate
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Personal Information:
  • Name (English):
    Guoyang Liu
  • Name (Pinyin):
    liuguoyang
  • Date of Birth:
    1995-04-03
  • E-Mail:
    gyliu@sdu.edu.cn
  • Date of Employment:
    2023-07-24
  • School/Department:
    Shandong University
  • Administrative Position:
    Asistant Research Fellow & Lecturer
  • Education Level:
    Postgraduate (Postdoctoral)
  • Business Address:
    山东大学软件园校区
  • Gender:
    Male
  • Contact Information:
    Email: gyliu@sdu.edu.cn
  • Degree:
    Doctoral Degree in Engineering
  • Status:
    Employed
  • Alma Mater:
    Shandong University
  • Supervisor of Master's Candidates
Biography

I received my Ph.D. degree in school of Microelectronics, Shandong University, China, in 2022. In 2022-2023, I worked as a Post-Doctoral Fellow in Department of Psychology, University of Hong Kong, Hong Kong. My current research fields include Deep Learning, eXplainable Artificial Intelligence (XAI), EEG Analysis, Brain-Computer Interface (BCI), Seizure Detection, Iris Recognition, FPGA-based Deep Learning Hardware Accelerator Design, Eye Movement Analysis and Cognitive Science. Currently, I'm serving on the Young Editorial Board of journal Brain-X.


Personal Homepage: http://guoyang.work/ 

Publication
Papers

1. 纪德赞. Epileptic Seizure Prediction Using Spatiotemporal Feature Fusion on EEG .International Journal of Neural Systems.2024

2. 刘国洋. Human attention guided explainable artificial intelligence for computer vision models .NEURAL NETWORKS.2024,177

3. 刘国洋. Cosine convolutional neural network and its application for seizure detection .NEURAL NETWORKS.2024,174

4. 刘国洋. EEG-Based Familiar and Unfamiliar Face Classification Using Filter-Bank Differential Entropy Features .IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS.2023

5. 张睿. Self-attention-based convolutional neural network and time-frequency common spatial pattern for enhanced motor imagery classification .Journal of Neuroscience Methods.2023,398

6. Guoyang Liu. Human Attention-Guided Explainable AI for Object Detection .The 45st Annual Conference of the Cognitive Science Society.2023,45

7. 刘国洋. MartMi-BCI: A Matlab-based Real-Time Motor Imagery Brain-Computer Interface Platform .SOFTWAREX.2023 (22)

8. Q. Meng#, G. Liu#, L. Tian, M. Zeng, X. Lu, and J. Yan. An Improved Vocoder Algorithm Based on Music Harmonics and Time Sampling .Applied Acoustics.2023,205 :109288

9. 刘国洋. Patient-Independent Seizure Detection Based on Channel-Perturbation Convolutional Neural Network and Bidirectional Long Short-Term Memory .International Journal of Neural Systems.2022 (6)

10. 刘国洋. Multiscale Time-Frequency Method for Multiclass Motor Imagery Brain Computer Interface .Computers in Biology and Medicine.2022 (143)

11. 刘国洋. ECG quality assessment based on hand-crafted statistics and deep-learned S-transform spectrogram features .Computer Methods and Programs in Biomedicine.2021 (208)

12. 刘国洋. An Efficient and Accurate Iris Recognition Algorithm Based on a Novel Condensed 2-ch Deep Convolutional Neural Network .Sensors.2021 (11)

13. G. Liu, D. Zhang, L. Tian and W. Zhou. EEG-Based Familiar and Unfamiliar Face Classification Using Differential Entropy Feature .2021 IEEE 2nd International Conference on Human-Machine Systems (ICHMS).2021 :1-3

14. 刘国洋. Automatic seizure detection based on S-Transform and deep convolutional neural network .International Journal of Neural Systems.2020,30 (4)

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