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Qiang Liu

School

School of Microelectronics

Professional Title

Professor

Discipline

电子科学与技术

Other Contact Information

Selected Papers

Current position: Personal Profile > Academic Achievements > Selected Papers

Y. Mao and Q. Liu, "An FPGA-based Mix-grained Sparse Training Accelerator," 2023 International Conference on Field Programmable Technology (ICFPT), Yokohama, Japan, 2023, pp. 276-277, doi: 10.1109/ICFPT59805.2023.00043.

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Pre One:Liu, Zhengyan and Liu, Qiang and Yan, Shun and Cheung, Ray C.C. , “An Efficient FPGA-Based Depthwise Separable Convolutional Neural Network Accelerator with Hardware Pruning”, ACM Trans. Reconfigurable Technol. Syst., Sept. 2023

Next One:Zhang M, Li H, Wang P, Liu Q. Parity Check Based Fault Detection against Timing Fault Injection Attacks. Electronics. 2022; 11(24):4082.

Address: No. 92, Weijin Road, Nankai District, Tianjin Zip Code: 300072

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