Curriculum Vitae
Education
PhD in Computer Science,
Queen Marry University of London, United Kingdom
PhD Research Topic: Photo-Realistic Hand Gesture Generation and Communication Application
Master of Information and Telecommunications Engineering,
Xidian University, Xi’an, China
Master Research Topic: Research on Dynamic Covert Communication Strategies for Full-Duplex Cognitive Networks
Bachelor of Electronic Science and Technology,
Jilin University, Changchun, China
Research Internship
Jan. 2023 – Aug. 2023, Keen AI, Birmingham, UK
I worked on the management of pylon resources, specifically concerning object detection and active learning.
Publications
Q. Fu, X. Chen, M. Asad, S. Yuan, C. Oh and G. Slabaugh, "Robust Photo-Realistic Hand Gesture Generation: from Single View to Multiple View," in Proceedings of the 33rd ACM International Conference on Multimedia, doi: 10.1145/3746027.3755828.
Q. Fu, H. Xie, Z. Qin, G. Slabaugh and X. Tao, "Vector Quantized Semantic Communication System," in IEEE Wireless Communications Letters, doi: 10.1109/LWC.2023.3255221.
D. Wang, Q. Fu, J. Si, N. Zhang and Z. Li, "Improper Gaussian Signaling Based Covert Wireless Communication in IoT Networks," 2021 IEEE Global Communications Conference (GLOBECOM), Madrid, Spain, 2021, pp. 1-6, doi: 10.1109/GLOBECOM46510.2021.9685989.
D. Wang, P. Qi, Q. Fu, N. Zhang and Z. Li, "Multiple High-Order Cumulants-Based Spectrum Sensing in Full-Duplex-Enabled Cognitive IoT Networks," in IEEE Internet of Things Journal, vol. 8, no. 11, pp. 9330-9343, 1 June1, 2021, doi: 10.1109/JIOT.2021.3055782.
Skills
- Programming: Python (NumPy, SciPy, Matplotlib, Pandas, OpenCV, Tensorflow, Keras, PyTorch), MATLAB, C++, C, FPGA.
- Electronics: Arduino, Raspberry Pi, Analog & Digital Electronics.