Publications

[1] Wang, Ying, et al. "DeepBurning: automatic generation of FPGA-based learning accelerators for the neural network family." Proceedings of the 53rd Annual Design Automation Conference. ACM, 2016.

[2] Song, Lili, Ying Wang, Yinhe Han, Xin Zhao, Bosheng Liu, and Xiaowei Li. "C-brain: A deep learning accelerator that tames the diversity of cnns through adaptive data-level parallelization." In 2016 53nd ACM/EDAC/IEEE Design Automation Conference (DAC), pp. 1-6. IEEE, 2016.

[3] Wang, Ying, Huawei Li, Long Cheng, and Xiaowei Li. "A QoS-QoR Aware CNN Accelerator Design Approach." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2018).

[4] Xu, Dawen, Kaijie Tu, Ying Wang, Cheng Liu, Bingsheng He, and Huawei Li. "Fcn-engine: Accelerating deconvolutional layers in classic cnn processors." In Proceedings of the International Conference on Computer-Aided Design, p. 22. ACM, 2018.

[5] Wang, Ying, Shengwen Liang, Huawei Li, and Xiaowei Li. "A None-Sparse Inference Accelerator that Distills and Reuses the Computation Redundancy in CNNs." In Proceedings of the 56th Annual Design Automation Conference 2019, p. 202. ACM, 2019.

[6] Chen, Weiwei, Ying Wang, Shuang Yang, Lei Zhang, Cheng Liu, You Only Search Once: A Fast Automation Framework for Single-Stage DNN/Accelerator Co-design, IEEE/ACM Proceedings of Design, Automation and Test in Europe conference (DATE), 2020 (to appear)

[7] Liang, Shengwen, Ying Wang, Cheng Liu, Huawei Li and Xiaowei Li, InS-DLA: An In-SSD Deep Learning Accelerator for Near-Data Processing, The International Conference on Field-Programmable Logic and Applications (FPL), Sep 9-11, 2019.

[8] Xiandong Zhao, Ying Wang, Xuyi Cai, Cheng Liu, Lei Zhang. "Linear Symmetric Quantization of Neural Networks for Low-precision Integer Hardware." In International Conference on Learning Representations (ICLR), 2020 (to appear).