Zhiqiang Que
Lecturer · University of Bristol · University of Bristol
Quick answer: Zhiqiang Que is Lecturer at University of Bristol. Zhiqiang Que shows an active PhD hiring signal as of 2026-09-11.
⭐ PhD and internship applications are welcome.
Research interests
ZQ's research focuses on efficient and trustworthy AI/ML systems, with particular emphasis on AI accelerators, FPGA-based computing, hardware-aware machine learning, and design automation for domain-specific architectures. He is interested in building AI systems that are not only accurate, but also fast, energy-efficient, and suitable for deployment in real-world constrained environments.
Selected publications (since 2023)
[18/06/2026] A Clock-Independent, Time-Domain Rapid Calibration Method for Memristor-based Analog Computing AI Processors
[10/03/2026] Enhancing Trustworthiness with Mixed Precision
[22/07/2026] FQTree
[21/02/2026] HGQ: High Granularity Quantization for Real-time Neural Networks on FPGAs
[10/06/2026] HGQ-LUT: Fast LUT-Aware Training and Efficient Architectures for DNN Inference
Frequently asked questions
Is Zhiqiang Que hiring PhD students at University of Bristol?
Yes. As of 2026-09-11, Zhiqiang Que's faculty page shows a PhD hiring signal: PhD and internship applications are welcome..
What does Zhiqiang Que research?
ZQ's research focuses on efficient and trustworthy AI/ML systems, with particular emphasis on AI accelerators, FPGA-based computing, hardware-aware machine learning, and design automation for domain-specific architectures. He is interested in building AI systems that are not only accurate, but also
Data last updated: 2026-09-11 · Source: phd-match.com faculty database.
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