Dong Wen

According to our database, Dong Wen authored at least 8 papers between 2021 and 2023.

Collaborative distances:

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

2023

Octopus: A Heterogeneous In-network Computing Accelerator Enabling Deep Learning for network.

Dong Wen, Tao Li, Chenglong Li, Pengye Xia, Hui Yang, Zhigang Sun

CoRR, 2023

2022

A low-latency LSTM accelerator using balanced sparsity based on FPGA.

Jingfei Jiang, Tao Xiao, Jinwei Xu, Dong Wen, Lei Gao, Yong Dou

Microprocess. Microsystems, March, 2022

An automatic learning rate decay strategy for stochastic gradient descent optimization methods in neural networks.

Kang Wang, Yong Dou, Tao Sun, Peng Qiao, Dong Wen

Int. J. Intell. Syst., 2022

2021

An energy-efficient convolutional neural network accelerator for speech classification based on FPGA and quantization.

Dong Wen, Jingfei Jiang, Yong Dou, Jinwei Xu, Tao Xiao

CCF Trans. High Perform. Comput., 2021

A high-throughput scalable BNN accelerator with fully pipelined architecture.

Zhe Han, Jingfei Jiang, Jinwei Xu, Peng Zhang, Xiaoqiang Zhao, Dong Wen, Yong Dou

CCF Trans. High Perform. Comput., 2021

COVID Edge-Net: Automated COVID-19 Lung Lesion Edge Detection in Chest CT Images.

Kang Wang, Yang Zhao, Yong Dou, Dong Wen, Zikai Gao

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Compressed LSTM using balanced sparsity.

Tao Xiao, Jingfei Jiang, Jinwei Xu, Dong Wen, Junhua Wang, Xuehui Chen

Proceedings of the Ninth International Conference on Advanced Cloud and Big Data, 2021

RFC-HyPGCN: A Runtime Sparse Feature Compress Accelerator for Skeleton-Based GCNs Action Recognition Model with Hybrid Pruning.

Dong Wen, Jingfei Jiang, Jinwei Xu, Kang Wang, Tao Xiao, Yang Zhao, Yong Dou

Proceedings of the 32nd IEEE International Conference on Application-specific Systems, 2021