Ke Xu

Orcid: 0000-0001-6266-4257

Affiliations:
  • Beijing Jiaotong University, Institute of Information Science, China


According to our database1, Ke Xu authored at least 22 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Hybrid Architecture-Based Evolutionary Robust Neural Architecture Search.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2024

BNN-SAM: Improving generalization of binary object detector by Seeking Flat Minima.
Appl. Intell., April, 2024

Multi-objective evolutionary multi-tasking band selection algorithm for hyperspectral image classification.
Swarm Evol. Comput., 2024

Dual-stream Feature Augmentation for Domain Generalization.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

PTMQ: Post-training Multi-Bit Quantization of Neural Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Boosting Neural Cognitive Diagnosis with Student's Affective State Modeling.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
EQ-Net: Elastic Quantization Neural Networks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
TA-BiDet: Task-aligned binary object detector.
Neurocomputing, 2022

An OpenCL-Based FPGA Accelerator for Faster R-CNN.
Entropy, 2022

MultiQuant: Training Once for Multi-bit Quantization of Neural Networks.
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.
Sensors, 2021

A dedicated hardware accelerator for real-time acceleration of YOLOv2.
J. Real Time Image Process., 2021

GenExp: Multi-objective pruning for deep neural network based on genetic algorithm.
Neurocomputing, 2021

Edge-Wise One-Level Global Pruning on NAS Generated Networks.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

2020
DSP-Efficient Hardware Acceleration of Convolutional Neural Network Inference on FPGAs.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

An FPGA-Based Hardware Accelerator for Real-Time Block-Matching and 3D Filtering.
IEEE Access, 2020

Sparse-YOLO: Hardware/Software Co-Design of an FPGA Accelerator for YOLOv2.
IEEE Access, 2020

2019
A Scalable OpenCL-Based FPGA Accelerator for YOLOv2.
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.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

2018
A Scalable FPGA Accelerator for Convolutional Neural Networks.
Proceedings of the Advanced Computer Architecture - 12th Conference, 2018

2017
PipeCNN: An OpenCL-based open-source FPGA accelerator for convolution neural networks.
Proceedings of the International Conference on Field Programmable Technology, 2017

2016
PipeCNN: An OpenCL-Based FPGA Accelerator for Large-Scale Convolution Neuron Networks.
CoRR, 2016


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