Wu Si

  • Title

    Professor, Doctoral & Graduate Supervisor, School of future technology

  • Email

    hannan@scut.edu.cn

  • Honor

    Member of the Chinese Association for Artificial Intelligence, Committee Member of the Machine Learning Division

Admission Programs/Majors

  • Ph.D: 1) Electronic Information; 2) Intelligent Science and Technology;

Personal Profile

Wu Si, a professor at South China University of Technology, is a member of the Chinese Association for Artificial Intelligence and a member of the Machine Learning Special Committee. Mainly engaged in scientific research in the fields of artificial intelligence, machine learning, computer vision, etc. More than 60 papers have been published in international journals and conferences such as IEEE TIP, IEEE TKDE, IEEE TNNLS, IEEE TMM, IEEE TCSVT, CVPR, ICCV, AAAI, and IJCAI, among which there are over 30 papers in IEEE Transactions and CCF-A category. In 2019, it won the second prize of Science and Technology Progress of Guangdong Province. It has undertaken multiple national and provincial natural science foundation projects, and participated in major national science and technology special projects and key research and development plans of Guangdong Province.

Research Interests

  • Artificial intelligence, machine learning, computer vision and other directions

Representative Research Achievements

  • Y. Liu, X. Huo, T. Chen, X. Zeng, S. Wu*, Z. Yu, and H. Wong, “Mask-embedded discriminator with region-based semantic regularization for semi-supervised class-conditional image synthesis,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

  • G. Li, Q. Jiao, S. Qian, S. Wu*, and H. Wong, “High fidelity GAN inversion via prior multi-subspace feature composition,” in AAAI Conference on Artificial Intelligence (AAAI), 2021.

  • J. Li, S. Wu*, C. Liu, Z. Yu and H. Wong, “Semi-supervised deep coupled ensemble learning with classification landmark exploration,” IEEE Transactions on Image Processing, vol. 29, pp. 538-550, 2020.

  • S. Wu, S. Lin, W. Wu, M. Azzam, and H. Wong, “Semi-supervised pedestrian instance synthesis and detection with mutual reinforcement,” in IEEE/CVF International Conference on Computer Vision (ICCV), 2019.

  • S. Wu, J. Zhong, W. Cao, R. Li, Z. Yu, and H. Wong, “Improving domain-specific classification by collaborative learning with adaptation networks,” in AAAI Conference on Artificial Intelligence (AAAI), 2019.