XU Qiang
B.E. (BUPT), M.E. (BUPT), Ph.D. (McMaster)
Professor









SHB 1008
+852 3943 8436
qxu[@]cse.cuhk.edu.hk

Research Areas

Artificial Intelligence Human Computer Interaction
Computer EngineeringIntelligent System Integration & Design
VLSI Computer-Aided Design
Networks and Systems Cyber Security


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Director, CUhk REliable Computing Laboratory (CURE Lab.)
Associate Editor, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2016-present
Associate Editor, Integration, the VLSI Journal, 2017-present
Associate Editor, IEEE Design & Test, 2012-2016



Biography
Qiang Xu’s current research interests include AI safety and security, learning-based testing, and motion analysis. He has worked on various topics on electronic design automation, hardware security, and approximate computing. He has supervised ~20 Ph.D. dissertations and his students have won EDAA Outstanding Dissertation Award and IEEE TTTC Doctoral Thesis Award.



Top Cited Publications
Xiao Liu, Qiang Xu: Trace signal selection for visibility enhancement in post-silicon validation. 2009 Design, Automation & Test in Europe Conference & Exhibition
Rong Ye, Ting Wang, Feng Yuan, Rakesh Kumar, Qiang Xu: On reconfiguration-oriented approximate adder design and its application. 2013 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)
Jie Zhang, Feng Yuan, Linxiao Wei, Yannan Liu, Qiang Xu: VeriTrust: Verification for Hardware Trust. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems ( Volume: 34, Issue: 7, July 2015)
Qian Zhang, Ting Wang, Ye Tian, Feng Yuan, Qiang Xu: ApproxANN: An approximate computing framework for artificial neural network. 2015 Design, Automation & Test in Europe Conference & Exhibition (DATE)
Lin Huang, Feng Yuan, Qiang Xu: Lifetime reliability-aware task allocation and scheduling for MPSoC platforms. 2009 Design, Automation & Test in Europe Conference & Exhibition


Recent Publications
Lingxiao Wei, Bo Luo, Yu Li, Yannan Liu, Qiang Xu: I Know What You See: Power Side-Channel Attack on Convolutional Neural Network Accelerators. ACSAC '18: Proceedings of the 34th Annual Computer Security Applications Conference, December 2018
Yannan Liu, Lingxiao Wei, Bo Luo, Qiang Xu: Fault injection attack on deep neural network. 2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)
Bo Luo, Yannan Liu, Lingxiao Wei, Qiang Xu: Towards Imperceptible and Robust Adversarial Example Attacks against Neural Networks.
Yu Li, Min Li, Bo Luo, Ye Tian, Qiang Xu: DeepDyve: Dynamic Verification for Deep Neural Networks. CCS '20: Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security, October 2020
Yannan Liu, Lingxiao Wei, Zhe Zhou, Kehuan Zhang, Wenyuan Xu, Qiang Xu: On Code Execution Tracking via Power Side-Channel. CCS '16: Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, October 2016


Achievements and Awards
Best Paper Award, DATE'04
Best Paper Nomination, DATE'10, ICCAD'10, ASP-DAC'12, DAC'15