Qingcheng Xiao

11 papers A* 3A 2C 1Misc 1Journal 4
YearRankTypeTitle / Venue / Authors
2022 J jnl
FCNNLib: A Flexible Convolution Algorithm Library for Deep Learning on FPGAs.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Yun Liang, Qingcheng Xiao, Liqiang Lu, Jiaming Xie
2022 A conf
Towards Agile DNN Accelerator Design Using Incremental Synthesis on FPGAs.
FPGA
Qingcheng Xiao, Yun Liang
2021 A* conf
HASCO: Towards Agile HArdware and Software CO-design for Tensor Computation.
ISCA
Qingcheng Xiao, Size Zheng, Bingzhe Wu, Pengcheng Xu, Xuehai Qian, Yun Liang
2021 J jnl
HASCO: Towards Agile HArdware and Software CO-design for Tensor Computation.
CoRR
Qingcheng Xiao, Size Zheng, Bingzhe Wu, Pengcheng Xu, Xuehai Qian, Yun Liang
2020 J jnl
Evaluating Fast Algorithms for Convolutional Neural Networks on FPGAs.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Yun Liang, Liqiang Lu, Qingcheng Xiao, Shengen Yan
2020 A* conf
FCNNLib: An Efficient and Flexible Convolution Algorithm Library on FPGAs.
DAC
Qingcheng Xiao, Liqiang Lu, Jiaming Xie, Yun Liang
2020 J jnl
Fune: An FPGA Tuning Framework for CNN Acceleration.
IEEE Des. Test
Qingcheng Xiao, Yun Liang
2019 A conf
Zac: Towards Automatic Optimization and Deployment of Quantized Deep Neural Networks on Embedded Devices.
ICCAD
Qingcheng Xiao, Yun Liang
2017 C conf
Enabling high performance deep learning networks on embedded systems.
IECON
Qian Li, Qingcheng Xiao, Yun Liang
2017 Misc conf
Evaluating Fast Algorithms for Convolutional Neural Networks on FPGAs.
FCCM
Liqiang Lu, Yun Liang, Qingcheng Xiao, Shengen Yan
2017 A* conf
Exploring Heterogeneous Algorithms for Accelerating Deep Convolutional Neural Networks on FPGAs.
DAC
Qingcheng Xiao, Yun Liang, Liqiang Lu, Shengen Yan, Yu-Wing Tai