Exploring Heterogeneous Algorithms for Accelerating Deep Convolutional Neural Networks on FPGAs. - Qingcheng Xiao; Yun Liang 001; Liqiang Lu; Shengen Yan; Yu-Wing Tai (DAC, 2017)

Enabling high performance deep learning networks on embedded systems. - Qian Li 027; Qingcheng Xiao; Yun Liang 001 (IECON, 2017)

Zac: Towards Automatic Optimization and Deployment of Quantized Deep Neural Networks on Embedded Devices. - Qingcheng Xiao; Yun Liang 001 (ICCAD, 2019)

FCNNLib: An Efficient and Flexible Convolution Algorithm Library on FPGAs. - Qingcheng Xiao; Liqiang Lu; Jiaming Xie; Yun Liang 001 (DAC, 2020)

Fune: An FPGA Tuning Framework for CNN Acceleration. - Qingcheng Xiao; Yun Liang 001 (IEEE Des. Test, 2020)

Evaluating Fast Algorithms for Convolutional Neural Networks on FPGAs. - Yun Liang 001; Liqiang Lu; Qingcheng Xiao; Shengen Yan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

HASCO: Towards Agile HArdware and Software CO-design for Tensor Computation. - Qingcheng Xiao; Size Zheng 001; Bingzhe Wu; Pengcheng Xu 005; Xuehai Qian; Yun Liang 001 (ISCA, 2021)

Towards Agile DNN Accelerator Design Using Incremental Synthesis on FPGAs. - Qingcheng Xiao; Yun Liang 001 (FPGA, 2022)

FCNNLib: A Flexible Convolution Algorithm Library for Deep Learning on FPGAs. - Yun Liang 001; Qingcheng Xiao; Liqiang Lu; Jiaming Xie (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)