Guiran Liu

Department of Computer Science, San Francisco State University, United States.

Research profile (Orcid, Google Scholar, Scopus authors, others):

ORCID: https://orcid.org/0009-0000-0119-3092

Google Scholar: https://scholar.google.com/citations?user=F0LyQA0AAAAJ

Biography:

Guiran Liu is a researcher of machine learning, computer vision, and multimodal learning. He has published extensively in peer-reviewed journals and conferences, covering EEG-based brain activity modeling, deep learning for load forecasting, and intelligent robotics. He actively contributes to the academic community as a peer reviewer for leading journals, including Information Fusion, Information Science, Neural Networks, and IEEE Transactions on Intelligent Transportation Systems. He has served on multiple international conferences’ Technical Program Committees.

Publications:

  1. Wang, J., Wang, Z., & Liu, G. (2024). Recording brain activity while listening to music using wearable EEG devices combined with Bidirectional Long Short-Term Memory Networks. Alexandria Engineering Journal, 109, 1–10.
  2. Ding, S., He, D., & Liu, G. (2024). Improving short-term load forecasting with multi-scale convolutional neural networks and transformer-based multi-head attention mechanisms. Electronics, 13(24), 5023. https://doi.org/10.3390/electronics13245023
  3. Hao, W., Li, J., Shen, N., & Liu, G. (2024). Improvement of optimal human resource allocation algorithm based on deep latent semantic model. Journal of Organizational and End User Computing, 36(1), 1–23.
  4. Liu, S., Liu, G., Zhu, B., Luo, Y., Wu, L., & Wang, R. (2024, October). Balancing innovation and privacy: Data security strategies in natural language processing applications. In Proceedings of the 5th International Conference on Machine Learning and Computer Application (ICMLCA 2024) (pp. 609–613). IEEE.
  5. Wu, L., Luo, Y., Zhu, B., Liu, G., Wang, R., & Yu, Q. (2024, September). Graph neural network framework for sentiment analysis using syntactic features. In Proceedings of the 5th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE 2024) (pp. 531–535). IEEE.
  6. Liu, G., & Ou, S. (2024, September). ARCHCHANGEDECNET: A building change detection method based on differential view fusion and collaborative perception. In Proceedings of the 1st International Scientific and Practical Conference "Innovative Scientific Research: Theory, Methodology, Practice", Boston, USA (Vol. 289, p. 212).
  7. Liu, G., & Zhu, B. (2024). Design and implementation of intelligent robot control system integrating computer vision and mechanical engineering. International Journal of Computer Science and Information Technology, 3(1), 219–226.
  8. Zhu, B., Liu, G., Xia, H., & Zhang, L. (2024, August). ANCIENTDEPTHNET: An unsupervised framework for depth estimation of ancient architecture. In Proceedings of the 31st International Scientific and Practical Conference "Methodological Aspects of Education: Achievements and Prospects", Rotterdam, Netherlands (Vol. 252, p. 213).
  9. Hu, J., Cang, Y., Liu, G., Wang, M., He, W., & Bao, R. (2024, October). Deep Learning for Medical Text Processing: BERT Model Fine-Tuning and Comparative Study. In 2024 3rd International Symposium on Sensor Technology and Control (ISSTC) (pp. 302-306). IEEE.

Peer Review Activities

Journals

  • Information Fusion (Elsevier)
  • Information Science (Elsevier)
  • Neural Networks (Elsevier)
  • Alexandria Engineering Journal (Elsevier)
  • IEEE Robotics and Automation Letters (IEEE)
  • IEEE Transactions on Intelligent Transportation Systems (IEEE)
  • International Journal of Machine Learning and Cybernetics (Springer)
  • Applied AI Letters (WILEY)

Conferences

  • 31st International Conference on Computational Linguistics (COLING 2025) (ICCL)
  • 5th International Conference on Advances in Electrical, Electronics and Computing Technology (EECT 2025) (IEEE)
  • 4th International Conference on Artificial Intelligence, Information Processing and Cloud Computing (AIIPCC 2024) (IEEE)
  • 4th International Workshop on Multilingual Semantic Web (MSW 2024), co-located with KGSWC 2024 (CCIS)
  • Ninth International Conference on Data Mining and Big Data (DMBD 2024) (Springer)