Fangxuan Sun

According to our database, Fangxuan Sun authored at least 7 papers between 2016 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

Fast-ABC: A Fast Architecture for Bottleneck-Like Based Convolutional Neural Networks.

Xiaoru Xie, Fangxuan Sun, Jun Lin, Zhongfeng Wang

Proceedings of the 2019 IEEE Computer Society Annual Symposium on VLSI, 2019

TIE: energy-efficient tensor train-based inference engine for deep neural network.

Chunhua Deng, Fangxuan Sun, Xuehai Qian, Jun Lin, Zhongfeng Wang, Bo Yuan

Proceedings of the 46th International Symposium on Computer Architecture, 2019

2018

SGAD: Soft-Guided Adaptively-Dropped Neural Network.

Zhisheng Wang, Fangxuan Sun, Jun Lin, Zhongfeng Wang, Bo Yuan

CoRR, 2018

An Optimized Architecture For Decomposed Convolutional Neural Networks.

Fangxuan Sun, Jun Lin, Zhongfeng Wang

Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 2018

Eadnet: Efficient Architecture for Decomposed Convolutional Neural Networks.

Fangxuan Sun, Jun Lin, Zhongfeng Wang

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2016

Memory Efficient Nonuniform Quantization for Deep Convolutional Neural Network.

Fangxuan Sun, Jun Lin

CoRR, 2016

Intra-layer nonuniform quantization of convolutional neural network.

Fangxuan Sun, Jun Lin, Zhongfeng Wang

Proceedings of the 8th International Conference on Wireless Communications & Signal Processing, 2016