Imperial College London

Zhiqiang Que

Faculty of EngineeringDepartment of Computing

Research Assistant in Custom Computing



z.que Website




347Huxley BuildingSouth Kensington Campus





I am a Research Assistant in the department of Computing, Imperial College London, UK. My research interest includes computer architectures, embedded systems, high-performance computing and computer-aided design (CAD) tools for hardware design optimization.



Fan H, Ferianc M, Que Z, et al., 2022, FPGA-based acceleration for Bayesian convolutional neural networks, Ieee Transactions on Computer - Aided Design of Integrated Circuits and Systems, Vol:41, ISSN:0278-0070, Pages:5343-5356


Wang Z, Que Z, Luk W, et al., 2022, Customizable FPGA-based accelerator for binarized graph neural networks, International Symposium on Circuits and Systems (ICAS 2022), IEEE, Pages:1968-1972

Que Z, Loo M, Fan H, et al., Optimizing graph Neural Networks for jet tagging in particle physics on FPGAs, International Conference on Field Programmable Logic and Applications, IEEE

Wang Q, Wong Y, Que Z, et al., 2022, Verifying Hardware Optimizations for Efficient Acceleration, Pages:17-23

Que Z, Loo M, Luk W, Reconfigurable acceleration of graph neural networks for jet identification in particle physics, IEEE International Conference on Artificial Intelligence Circuits and Systems, IEEE

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