Qingzeng Song

According to our database, Qingzeng Song authored at least 15 papers between 2018 and 2024.

Collaborative distances:

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

2024

Design and Implementation of a Universal Shift Convolutional Neural Network Accelerator.

Qingzeng Song, Weizhi Cui, Liankun Sun, Guanghao Jin

IEEE Embed. Syst. Lett., March, 2024

Improving the performance of deep learning-based classification when a sample has various appearances.

Guanghao Jin, Yuming Jiao, Jianming Wang, Ming Ma, Qingzeng Song

J. Exp. Theor. Artif. Intell., February, 2024

2023

A Framework of Maximum Feature Exploration Oriented Remote Sensing Object Detection.

Yuelong Li, Yue Xing, Zhiwei Wang, Tengfei Xiao, Qingzeng Song, Weiwei Li, Jianming Wang

IEEE Geosci. Remote. Sens. Lett., 2023

MA-YOLO: a multi-attention object detection network for remote sensing images.

Qingzeng Song, Maorui Hou, Yongjiang Xue, Jing Yu

J. Electronic Imaging, 2023

Research on Multi-Domain Sample Classification Method Based on Baidu API.

Yuwei Cui, Qingzeng Song, Yongjiang Xue, Jing Yu

Proceedings of the 2023 4th International Conference on Control, 2023

2022

Flexible brain: a domain-model based bayesian network for classification.

Guanghao Jin, Qingzeng Song

J. Exp. Theor. Artif. Intell., 2022

The Classification of Multi-Domain Samples Based on the Cooperation of Multiple Models.

Qingzeng Song, Junting Xu, Lei Ma, Ping Yang, Guanghao Jin

Complex., 2022

Design and Implementation of Convolutional Neural Networks Accelerator Based on Multidie.

Qingzeng Song, Jiabing Zhang, Liankun Sun, Guanghao Jin

IEEE Access, 2022

The Classification of Multiple-domain Samples based on Multiple Deep Learning Models.

Junting Xu, Ping Yang, Guanghao Jin, Qingzeng Song

Proceedings of the 2nd International Conference on Control and Intelligent Robotics, 2022

Infrared Image Object Detection of Vehicle and Person Based on Improved YOLOv5.

Jintao Wang, Qingzeng Song, Maorui Hou, Guanghao Jin

Proceedings of the Web and Big Data. APWeb-WAIM 2022 International Workshops, 2022

2021

Improving the Performance of Deep Learning Model-Based Classification by the Analysis of Local Probability.

Guanghao Jin, Yixin Hu, Yuming Jiao, Junfang Wen, Qingzeng Song

Complex., 2021

2020

Deep learning-based framework for expansion, recognition and classification of underwater acoustic signal.

Guanghao Jin, Fan Liu, Hao Wu, Qingzeng Song

J. Exp. Theor. Artif. Intell., 2020

The classification and denoising of image noise based on deep neural networks.

Fan Liu, Qingzeng Song, Guanghao Jin

Appl. Intell., 2020

De-speckling Convolutional Neural Network and Classification Method for SAR Images.

Yapei Zhao, Qingzeng Song, Xuechun Wang, Yijie Zhang, Guanghao Jin

Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

2018

Deep Learning based Framework for Underwater Acoustic Signal Recognition and Classification.

Hao Wu, Qingzeng Song, Guanghao Jin

Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence, 2018