about

Xiandong Zhao (赵宪栋)

• cv | 简历 | scholar
• zhaoxiandong27@gmail.com
  I’m a PhD student of Institute of Computing Technology (ICT), University of Chinese Academy of Sciences (UCAS). And I got the Bachelor degree from Huazhong University of Science and Technology (HUST) in 2017.

Projects

[1] The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020. code
[2] A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators. code
[3] MXNet(Gluon-CV) re-implementation of LQ-Nets. code
[4] Caffe re-implementation of YOLOv2. code
[5] The PyTorch re-implementation of Mixed Precision algorithm in ZeroQ. code

Publications

[1] 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 tsinghua A). paper | code
[2] Xiandong Zhao, Ying Wang, Cheng Liu, Cong Shi, Kaijie Tu, Lei Zhang. “BitPruner: Network Pruning for Bit-serial Accelerators.” In Design Automation Conference (DAC 2020 CCF A).
[3] Yintao He, Ying Wang, Xiandong Zhao, Huawei Li and Xiaowei Li. “Towards State-Aware Computation in ReRAM Neural Networks.” In Design Automation Conference (DAC 2020 CCF A).
[4] Songyun Qu, Ying Wang, Bing Li, Xiandong Zhao and Lei Zhang. “RaQu: An automatic high-utilization CNN quantization and mapping framework for general-purpose RRAM Accelerator.” In Design Automation Conference (DAC 2020 CCF A).