I am currently a second year PhD student in Communications and Signal Processing Group of Department of Electrical and Electronic Engineering at Imperial College London, supervised by Professor Pier Luigi Dragotti.
Previously, I obtained a first class Master of Engineering (M.Eng.) degree in Electrical and Electronic Engineering from Imperial College London in 2018.
My research interests include deep learning, finite rate of innovation, spiking neural networks and inverse problems.
2019.07.26 Our paper "Advantages of heterogeneity of parameters in spiking neural network training" is accepted at CCN 2019! You can view our paper here.
Oct 2018 - Jun 2022
President's PhD Scholarships: Awarded to high performing students in undergraduate who have a strong desire to pursue PhD study.
Henry Ford II Scholar Award in Electrical Engineering: Awarded to the student with the best academic record based on the final first degree examinations.
Head of Department Prize: Awarded to the Top Student in Third Year M.Eng. in Electrical and Electronic Engineering, Imperial College London.
BP Edward Hughes Electrical and Electronic Technology Handbook Award & Silvanus P. Thompson Prize: Awarded to the Top Student in Second Year M.Eng. in Electrical and Electronic Engineering, Imperial College London.
Third Place in Second Year Group Project – sponsored by Dialog Semiconductors: “Detection of Civil Unmanned Aerial Vehicles” – Have a look at our project here!
Leung VCH, Huang J-J, Dragotti PL, 2020, Reconstruction of FRI signals using deep neural network approaches, 2020 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), IEEE
et al., 2019, Advantages of heterogeneity of parameters in spiking neural network training, 2019 Conference on Cognitive Computational Neuroscience, Cognitive Computational Neuroscience