Xiaobin Liu

Doctor of Philosophy, Department of Computer Science, University of Liverpool, United Kingdom

Research profile:

Google Scholar: https://scholar.google.com/citations?view_op=list_works&hl=en&hl=en&user=AbyAtwoAAAAJ

Academic titles:

Associate Professor in Trine University, USA

Doctor of Philosophy in Computer Science and Software Engineering

Publications:

  1. Yuan, C., Liu, X., & Zhang, Z. (2021, May). The Current Status and progress of Adversarial Examples Attacks. In 2021 International Conference on Communications, Information System and Computer Engineering (CISCE) (pp. 707- 711). IEEE.
  2. Liu, X., Xie, X., Hu, W., & Zhou, H. (2022). The application and influencing factors of computer vision: focus on human face recognition in medical field. In Наука, образование, инновации: актуальные вопросы и современные аспекты (pp. 32-37).
  3. Hu, W., Liu, X., & Xie, Z. (2022). Ore image segmentation application based on deep learning and game theory. In World science: problems and innovations (pp. 71-76).
  4. Liu, X., Liu, W., Yi, S., & Li, J. (2020, October). Research on Software Development Automation Based on Microservice Architecture. In Proceedings of the 2020 International Conference on Aviation Safety and Information Technology (pp. 670-677).
  5. Xiaomin, L., Yuehang, S., Borun, C., Xiaobin, L., & Weijun, H. (2022). A novel deep learning based multi-feature fusion method for drowsy driving detection. Industry and agriculture, 3449.
  6. Shen, G., He, K., Jin, J., Chen, B., Hu, W., & Liu, X. (2022). Capturing and analyzing financial public opinion using nlp and deep forest. In НАУЧНЫЕ ИССЛЕДОВАНИЯ СТУДЕНТОВ И УЧАЩИХСЯ (pp. 66-71).
  7. Chen, B., Song, Y., Cheng, L., He, W., Hu, W., Liu, X., & Chen, J. (2022). A review of research on machine learning in stock price forecasting. In Science and modern education: current issues, achievements and innovations (pp. 56-62).
  8. Weilong, H., Weijun, H., Yuqi, Y., Hui, S., Yanyou, W., Yuehang, S., & Xiaobin, L. (2022). Improved left-and right -hand tracker using computer vision. Student scientific research, 3, 21.
  9. Xie, Z., Hu, W., Zhu, J., Li, B., Wu, Y., He, W., & Liu, X. (2022). LEFT AND RIGHT HAND TRACKER BASED ON CONVOLUTIONAL NEURAL NETWORK. In Актуальные вопросы современной науки образования (pp. 61- 67).
  10. Song, Y., Chen, B., Liu, X., Weijun, H., Xiangyu, X., & Yuqi, Y. (2022). Audio and video editing system design based on OpenCV. Информатика. Экономика. Управление/Informatics. Economics. Management, 1(2), 0101-0120.
  11. He, W., Hu, W., Wu, Y., Sun, L., Liu, X., & Chen, B. (2022). Development history and research status of convolutional neural networks. In СТУДЕНЧЕСКИЙ НАУЧНЫЙ ФОРУМ 2022 (pp. 28-36).
  12. Liu, X., Yang, C., Wang, W., & Liu, W. (2023). CARASSISTNET: DESIGN AND IMPLEMENTATION OF A DRIVING ASSISTANCE SYSTEM USING COMPUTER VISION. In НОВЫЕ НАУЧНЫЕ ИССЛЕДОВАНИЯ (pp. 28-32).