• MEng: 1) Electronic Information  

• MS：1)Intelligent Science and Technology  

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

Professor at the Future Technology College of South China University of Technology, doctoral supervisor, Senior member of IEEE, Director of the University-Enterprise Joint Laboratory for AI-Enabled Active Health, Deputy Director of the Science and Technology Research Institute (on loan), and selected as a young top-notch talent in Guangdong Province and Guangzhou City. Mainly engaged in 3D scene reconstruction and character interaction, content generation, large model platforms and their applications in smart healthcare. More than 50 academic papers have been published in CCF-A class conferences and journals such as IEEE TFS, TCSVT, CVPR, and AAAI. I have served as the associate editor of several SCI journals and the field chair of CCF international conferences. I have also open-sourced the active health large models 'Bianque' and 'Lingxin'. Lab homepage link https://drliuqi.github.io/.

• Scene 3D reconstruction and interaction, content generation, large model platforms and their applications in smart healthcare

• Q. Liu and Z. Zhang, “Ultra-low power always-on intelligent and connected SNN-based system for multimedia IOT-enabled applications,” IEEE Internet of Things Journal, 2022. (SCI，JCR Zone 1)

• R. Liu, Q. Liu * (corresponding author), H. Zhu and H. Cao, “Multi-stage deep transfer learning for EmIoT-enabled human-computer interaction,” IEEE Internet of Things Journal, 2022. (SCI，JCR Zone 1)

• Q. Liu and X. Li, “Efficient low-rank matrix factorization based on l_(1,ε)-norm for online background subtraction,” IEEE Transactions on Circuits and Systems for Video Technology, 2022. (SCI, JCR Zone 1)

• Q. Liu, X. Li, H. Cao, Y. Wu, “From simulated to visual data: A robust low-rank tensor completion approach using lp-regression for outlier resistance,” IEEE Transactions on Circuits and Systems for Video Technology, 2022. (SCI, JCR Zone 1)

• Q. Liu, X. Li and J. Yang, “Optimum codesign for image denoising between type-2 fuzzy identifier and matrix completion denoiser,” IEEE Transactions on Fuzzy Systems, 30(1), 287-292, 2022. (SCI, JCR Zone 1)

• Q. Liu and J. Wu, “Parameter tuning-free missing-feature reconstruction for robust sound recognition,” IEEE Journal of Selected Topics in Signal Processing, 15(1), 78-89, 2021. (SCI, JCR Zone 1)

• Q. Liu, J. Xu, Z. Ding and H.C. So, “Target localization with jammer removal using frequency diverse array,” IEEE Transactions on Vehicular Technology, 69(10), 11685-11696, 2020. (SCI, JCR Zone 1)

• Q. Liu, Y. Gu and H.C. So, “DOA estimation in impulsive noise via low-rank matrix approximation and weakly convex optimization,” IEEE Transactions on Aerospace and Electronic Systems, 55(6), 3603-3616, 2019. (SCI, JCR Zone 1)