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