Ke Xu

According to our database, Ke Xu authored at least 15 papers between 2016 and 2022.

Collaborative distances:

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

2022

TA-BiDet: Task-aligned binary object detector.

Han Pu, Ke Xu, Dezheng Zhang, Li Liu, Lingzhi Liu, Dong Wang

Neurocomputing, 2022

An OpenCL-Based FPGA Accelerator for Faster R-CNN.

Jianjing An, Dezheng Zhang, Ke Xu, Dong Wang

Entropy, 2022

MultiQuant: Training Once for Multi-bit Quantization of Neural Networks.

Ke Xu, Qiantai Feng, Xingyi Zhang, Dong Wang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Fast and Accurate Object Detection in Remote Sensing Images Based on Lightweight Deep Neural Network.

Lei Lang, Ke Xu, Qian Zhang, Dong Wang

Sensors, 2021

A dedicated hardware accelerator for real-time acceleration of YOLOv2.

Ke Xu, Xiaoyun Wang, Xinyang Liu, Changfeng Cao, Huolin Li, Haiyong Peng, Dong Wang

J. Real Time Image Process., 2021

GenExp: Multi-objective pruning for deep neural network based on genetic algorithm.

Ke Xu, Dezheng Zhang, Jianjing An, Li Liu, Lingzhi Liu, Dong Wang

Neurocomputing, 2021

Edge-Wise One-Level Global Pruning on NAS Generated Networks.

Qiantai Feng, Ke Xu, Yuhai Li, Yuxin Sun, Dong Wang

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

2020

DSP-Efficient Hardware Acceleration of Convolutional Neural Network Inference on FPGAs.

Dong Wang, Ke Xu, Jingning Guo, Soheil Ghiasi

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

An FPGA-Based Hardware Accelerator for Real-Time Block-Matching and 3D Filtering.

Dong Wang, Jia Xu, Ke Xu

IEEE Access, 2020

Sparse-YOLO: Hardware/Software Co-Design of an FPGA Accelerator for YOLOv2.

Zixiao Wang, Ke Xu, Shuaixiao Wu, Li Liu, Lingzhi Liu, Dong Wang

IEEE Access, 2020

2019

A Scalable OpenCL-Based FPGA Accelerator for YOLOv2.

Ke Xu, Xiaoyun Wang, Dong Wang

Proceedings of the 27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2019

ABM-SpConv: A Novel Approach to FPGA-Based Acceleration of Convolutional Neural Network Inference.

Dong Wang, Ke Xu, Qun Jia, Soheil Ghiasi

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

2018

A Scalable FPGA Accelerator for Convolutional Neural Networks.

Ke Xu, Xiaoyun Wang, Shihang Fu, Dong Wang

Proceedings of the Advanced Computer Architecture - 12th Conference, 2018

2017

PipeCNN: An OpenCL-based open-source FPGA accelerator for convolution neural networks.

Dong Wang, Ke Xu, Diankun Jiang

Proceedings of the International Conference on Field Programmable Technology, 2017

2016

PipeCNN: An OpenCL-Based FPGA Accelerator for Large-Scale Convolution Neuron Networks.

Dong Wang, Jianjing An, Ke Xu

CoRR, 2016