Ke Xu
Scholar

Ke Xu

Google Scholar ID: FEjf5HgAAAAJ
Anhui University
Deep LearningNetwork QuantizationNetwork PruningNeural Architecture SearchFPGA
Citations & Impact
All-time
Citations
560
 
H-index
12
 
i10-index
13
 
Publications
20
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • Paper 'PTMQ: Post-Training Multi-Bit Quantization of Neural Networks' accepted by AAAI 2024
  • Paper 'EQ-Net: Elastic Quantization Neural Networks' accepted by ICCV 2023
  • Paper 'MultiQuant: Training Once for Multi-bit Quantization of Neural Networks' accepted by IJCAI 2022
  • Published 'DSP-Efficient Hardware Acceleration of Convolutional Neural Network Inference on FPGAs' in IEEE TCAD 2020
  • Published 'ABM-SpConv: A Novel Approach to FPGA-based Acceleration of Convolutional Neural Network Inference' at DAC 2019, presenting the first high-throughput FPGA accelerator for sparse CNNs
  • Published 'A Scalable OpenCL-Based FPGA Accelerator for YOLOv2' at FCCM 2019
  • Published 'PipeCNN: An OpenCL-Based Open-Source FPGA Accelerator for Convolution Neural Networks' at ICFPT 2017