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- 教师名称：刘强
- 教师拼音名称：Qiang Liu
- 性别：男
- 学科：电子科学与技术
- 职称：教授
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S. Yan, Q. Liu, J. Li and L. Han, "Heterogeneous Acceleration of Hybrid PSO-QN Algorithm for Neural Network Training," in IEEE Access, vol. 7, pp. 161499-161509, 2019, doi: 10.1109/ACCESS.2019.2951710.
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P. Zhao and Q. Liu, "Density-based Clustering Method for Hardware Trojan Detection Based on Gate-level Structural Features," 2019 Asian Hardware Oriented Security and Trust Symposium (AsianHOST), Xi'an, China, 2019, pp. 1-4, doi: 10.1109/AsianHOST47458.2019.9006695.
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S. Qin, Q. Liu, B. Yu and S. Liu, "π-BA: Bundle Adjustment Acceleration on Embedded FPGAs with Co-observation Optimization," 2019 IEEE 27th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), San Diego, CA, USA, 2019, pp. 100-108, doi: 10.1109/FCCM.2019.00024.
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Y. Jiang, Q. Liu, H. Cao and Y. Song, "Peak Detection Based on FPGA Using Quasi-Newton Optimization Method for Femtosecond Laser Ranging," in IEEE Access, vol. 8, pp. 47776-47786, 2020, doi: 10.1109/ACCESS.2020.2979268.
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Q. Liu, S. Qin, B. Yu, J. Tang and S. Liu, "π-BA: Bundle Adjustment Hardware Accelerator Based on Distribution of 3D-Point Observations," in IEEE Transactions on Computers, vol. 69, no. 7, pp. 1083-1095, 1 July 2020, doi: 10.1109/TC.2020.2984611.
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Yiming Gan; Yu Bo; Boyuan Tian; Leimeng Xu; Wei Hu; Shaoshan Liu; Qiang Liu; Yanjun Zhang; Jie Tang; Yuhao Zhu, "Eudoxus: Characterizing and Accelerating Localization in Autonomous Machines Industry Track Paper," 2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2021, pp. 827-840, doi: 10.1109/HPCA51647.2021.00074.
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Shun Yan; Zhengyan Liu; Yun Wang; Chenglong Zeng; Qiang Liu; Bowen Cheng; Ray C.C. Cheung, "An FPGA-based MobileNet Accelerator Considering Network Structure Characteristics," 2021 31st International Conference on Field-Programmable Logic and Applications (FPL), 2021, pp. 17-23, doi: 10.1109/FPL53798.2021.00011
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M. Zhang and Q. Liu, "Experimental Verification of EMPA Fault Mechanism," 2021 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), 2021, pp. 1-6, doi: 10.1109/NANOARCH53687.2021.9642244.
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Qiang Liu, Honghui Tang, and Peiran Zhang. Fault Injection Attack Emulation Framework for Early Evaluation of IC Designs. ACM Trans. Des. Autom. Electron. Syst. 27, 1, Article 8, October 2021, 25 pages. https://doi.org/10.1145/3480962.
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M. Zhang and Q. Liu, "A Digital and Lightweight Delay-Based Detector against Fault Injection Attacks," 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 2021, pp. 1-5, doi: 10.1109/ISCAS51556.2021.9401185.
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C. Yao, Q. Liu, L. Wang, Q. Zhang, H. Tang and M. Zhang, "Lightweight and Configurable Synchronizer and Demodulator Design for PDSCH on FPGA," 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 2021, pp. 1-5, doi: 10.1109/ISCAS51556.2021.9401652.
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H. Li, A. Abdelhadi, R. Shi, J. Zhang and Q. Liu, "Adversarial Hardware with Functional and Topological Camouflage," in IEEE Transactions on Circuits and Systems II: Express Briefs, vol.68, No. 5，pp. 1685-1689, May 2021. doi: 10.1109/TCSII.2021.3065292.
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H. Tang and Q. Liu, "MPFA: an efficient multiple faults-based persistent fault analysis method for low-cost FIA," in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, doi: 10.1109/TCAD.2021.3117512.
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Weizhuang Liu, Bo Yu, Yiming Gan, Qiang Liu, Jie Tang, Shaoshan Liu, and Yuhao Zhu. 2021. Archytas: A Framework for Synthesizing and Dynamically Optimizing Accelerators for Robotic Localization. In MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO '21). Association for Computing Machinery, New York, NY, USA, 479–493. https://doi.org/10.1145/3466752.3480077
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Zhang, Z., Liu, Q., Guo, D. (2021). Knowledge-Based Multiple Lightweight Attribute Networks for Zero-Shot Learning. In: Mantoro, T., Lee, M., Ayu, M.A., Wong, K.W., Hidayanto, A.N. (eds) Neural Information Processing. ICONIP 2021. Communications in Computer and Information Science, vol 1516. Springer, Cham.
