Hi, I'm Guoyang Liu. I received my Ph.D. degree in school of Microelectronics, Shandong University, China, in 2022 (2017-2019 for a M.S. degree, Supervisor: Prof. Weidong Zhou; 2019-2022 for a Ph.D. degree, Supervisors: Prof. Lan Tian and Prof. Weidong Zhou). In 2022-2023, I worked as a Post-Doctoral Fellow in Department of Psychology, University of Hong Kong, Hong Kong (Supervisor: Prof. Janet H. Hsiao). I am currently an Assistant Research Fellow in school of Microelectronics, Shandong University, China. My 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 Early Career Editorial Board of journal Brain-X.

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Guoyang Liu

Email: gyliu@sdu.edu.cn; virter1995@outlook.com


School of Microelectronics
Shandong University
1500 Shunhua Road, High Tech Zone
Jinan, China

Homepage @ SDU - Guoyang Liu
Google Scholar - Guoyang Liu
ResearchGate - Guoyang liu
ORCID - Guoyang liu
Collboration Lab: ABC Lab
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Publications

Peer-Reviewed Journal Papers
Peer-Reviewed Conference Proceedings (Full-Paper)
Peer-Reviewed Conference Abstract
Peer-Reviewing Papers (Only Show Papers Submitted to ArXiv)

Competitions

International Competitions
  • G. Liu (Team Leader). Supervisors: Prof. Weidong Zhou and Prof. Lan Tian.
    Second Prize in 2020 World Robot Contest – BCI Controlled Robot Contest Finals
    Won 2nd place in both A-list and B-list competitions and was one of the 14 finalists (including teams from HKUST, HKU, UM, THU, TJU, HUST, WYU, ECUST, SHU, NWPU, CAS, BUPT, Tencent).

Databases

EEG databases
  • SH-SDU Epileptic EEG Database.
    - Collectors: Guoyang Liu; Zhen Liu; Shang Wang; Wei Shang; Minxing Geng; Weidong Zhou*.
    - Affiliation: The Shandong University & The Second Hospital of Shandong University.
    - Descriptions: In the SH-SDU database, a total of 191 seizures from 10 patients were visually inspected and labeled by experienced experts from 177.34-h EEG recordings. Eighteen unipolar channels with referential electrode G (located between Fz and Cz), were recorded for each patient. More detailed paradigm can refer to our Journal Paper.
    - This database is currently NOT publicly available. However, you can contact us if you are interested in it.
    Paper Image
  • SDU Familiar/Unfamiliar Face Recognition EEG Database.
    - Collectors: Guoyang Liu; Weidong Zhou*.
    - Affiliation: The Shandong University.
    - Descriptions: 10 healthy volunteers (aged between 18 and 25) were selected to participate in this study. We designed a familar/unfamiliar face recognition EEG paradigm for the study. More detailed paradigm can refer to our Conference Paper.
    - This database is currently NOT publicly available. However, you can contact us if you are interested in it.
  • We also have more EEG databases such as Motor Imagery (Left/Right Hand/Elbow) EEG database (22 participants), and a Iris Recognition database (200 participants). These databases are currently NOT publicly available. However, you can contact us if you are interested in it.

Software

  • AI & Human Attention Analyzer (Try It Now!
    Developers: G. Liu, Janet H. Hsiao
    Paper Image
  • MartMi-BCI - Motor Imagery BCI Platform (GitHub
    Developers: G. Liu, Weidong Zhou, Lan Tian, Janet H. Hsiao
    Paper Image
  • Siamese Network-based Iris Recognition Software - Register & Manager & Screen Saver
    Developers: G. Liu, Weidong Zhou, Lan Tian
    Paper Image
  • EEG Analyzer & Automatic Epileptic EEG Detection Tool
    Developers: G. Liu, Weidong Zhou
    Paper Image

NEWS

  • 2024-5-13 The journal paper "HAG-XAI for Computer Vison Models" was accepted by Neural Networks (NN).
  • 2024-4-20: Oral presentation at 2024 International Conference on Brain-On-A-Chip.
  • 2024-4-6: The conference full paper "Demystify Deep-learning AI for Object Detection using Human Attention Data" was accepted by CogSci-2024.
  • 2024-4-6: The conference full paper "Do Saliency-Based Explainable AI Methods Help Us Understand AI’s Decisions? The Case of Object Detection AI" was accepted by CogSci-2024.
  • 2024-3-22: The journal paper "Cosine Convolutional Neural Network and Its Application for Seizure Detection" was accepted by Neural Networks (NN).
  • 2023-11-15: Nanosymposium presentation at SfN 2023 by collaborator Yazhou Zhao.
  • 2023-11-09: The journal paper ""EEG-based Familiar and Unfamiliar Face Classification Using Filter-Bank Differential Entropy Features" was accepted by IEEE Transactions on Human-Machine Systems (IEEE THMS).
  • 2023-10-15: Oral presentation at iTAP 2023.
  • 2023-08-26: Oral presentation at HPMA 2023.
  • 2023-07-26: Poster presentation at CogSci 2023.
  • 2023-07-24: Join Shandong University - Assistant Research Fellow.
  • 2023-07-24: Poster presentation at EMBC 2023 by collaborator Yazhou Zhao.
  • 2023-07-15: Our CogSci full-length papers are currently available online: HAG-XAI, Human vs. AI Study.
  • 2023-05-21: Oral presentation at CBEC 2023.
  • 2023-05-08: The extended version of CogSci conference paper (HAG-XAI) is currently available on ArXiv.
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