Zongwu Wang

Improving Neural Network Efficiency via Post-training Quantization with Adaptive Floating-Point

Fangxin Liu, Wenbo Zhao, Zhezhi He et al. · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · 2021 · 59 citations

Model Quantization, Prior Model Quantization, Engineering +13

SSTDP: Supervised Spike Timing Dependent Plasticity for Efficient Spiking Neural Network Training

Fangxin Liu, Wenbo Zhao, Yongbiao Chen et al. · Frontiers in Neuroscience · 2021 · 59 citations · Full text

Timing Dependent Plasticity, Engineering, Machine Learning +21

SpikeConverter: An Efficient Conversion Framework Zipping the Gap between Artificial Neural Networks and Spiking Neural Networks

Fangxin Liu, Wenbo Zhao, Yongbiao Chen et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2022 · 47 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +19

SPARK: Scalable and Precision-Aware Acceleration of Neural Networks via Efficient Encoding

Fangxin Liu, Ning Yang, Zongwu Wang et al. · 2024 · 38 citations

Bit-Transformer: Transforming Bit-level Sparsity into Higher Preformance in ReRAM-based Accelerator

Fangxin Liu, Wenbo Zhao, Zhezhi He et al. · 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD) · 2021 · 25 citations

Engineering, Machine Learning, Computer Architecture +18