Qiuyu Zhu

According to our database, Qiuyu Zhu authored at least 24 papers between 2017 and 2025.

Collaborative distances:

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

2025

Class Incremental Learning Based on Playback Images Generated by Classification Network.

Qiuyu Zhu, Yunxiao Zhang, Yunhang Zhuo, Junli Chen

Int. J. Pattern Recognit. Artif. Intell., 2025

2024

CNN Pruning with Multi-Stage Feature Decorrelation.

Qiuyu Zhu, Chengfei Liu

Int. J. Pattern Recognit. Artif. Intell., December, 2024

Out-of-distribution detection based on subspace projection of high-dimensional features output by the last convolutional layer.

Qiuyu Zhu, Yiwei He

CoRR, 2024

Out-of-Distribution Detection Based on Multiple Metrics Fusion of Network Hidden Features.

Qiuyu Zhu, Yiwei He

IEEE Access, 2024

2023

Effective Out-of-Distribution Detection in Classifier Based on PEDCC-Loss.

Qiuyu Zhu, Guohui Zheng, Yingying Yan

Neural Process. Lett., April, 2023

A Softmax-Free Loss Function Based on Predefined Optimal-Distribution of Latent Features for Deep Learning Classifier.

Qiuyu Zhu, Xuewen Zu

IEEE Trans. Circuits Syst. Video Technol., March, 2023

Multi-stage feature decorrelation constraints for improving CNN classification performance.

Qiuyu Zhu, Xuewen Zu, Chengfei Liu

CoRR, 2023

Class-Incremental Learning Based on Big Dataset Pre-Trained Models.

Bin Wen, Qiuyu Zhu

IEEE Access, 2023

2022

Out-of-Distribution Detection Based on Feature Fusion in Neural Network Classifier Pre-Trained by PEDCC-Loss.

Qiuyu Zhu, Guohui Zheng, Jiakang Shen, Rui Wang

IEEE Access, 2022

Fully Convolutional Neural Network Structure and Its Loss Function for Image Classification.

Qiuyu Zhu, Xuewen Zu

IEEE Access, 2022

2021

Incremental classifier learning based on PEDCC-loss and cosine distance.

Qiuyu Zhu, Zikuang He, Xin Ye

Multim. Tools Appl., 2021

A Softmax-free Loss Function Based on Predefined Optimal-distribution of Latent Features for CNN Classifier.

Qiuyu Zhu, Xuewen Zu

CoRR, 2021

Single Underwater Image Enhancement Using an Analysis-Synthesis Network.

Zhengyong Wang, Liquan Shen, Mei Yu, Yufei Lin, Qiuyu Zhu

CoRR, 2021

Wavelet Loss Function for Auto-Encoder.

Qiuyu Zhu, Hu Wang, Ruixin Zhang

IEEE Access, 2021

Active Learning of Pattern Classification Based on PEDCC-Loss.

Qiuyu Zhu, Jianbing Luan, Tiantian Li, Xuewen Zu

IEEE Access, 2021

Generation and Frame Characteristics of Predefined Evenly-Distributed Class Centroids for Pattern Classification.

Haiping Hu, Yingying Yan, Qiuyu Zhu, Guohui Zheng

IEEE Access, 2021

2020

An Image Clustering Auto-Encoder Based on Predefined Evenly-Distributed Class Centroids and MMD Distance.

Qiuyu Zhu, Zhengyong Wang

Neural Process. Lett., 2020

Semi-supervised learning method based on predefined evenly-distributed class centroids.

Qiuyu Zhu, Tian-tian Li

Appl. Intell., 2020

A New Loss Function for CNN Classifier Based on Predefined Evenly-Distributed Class Centroids.

Qiuyu Zhu, Pengju Zhang, Zhengyong Wang, Xin Ye

IEEE Access, 2020

2019

A New Loss Function for CNN Classifier Based on Pre-defined Evenly-Distributed Class Centroids.

Qiuyu Zhu, Pengju Zhang, Xin Ye

CoRR, 2019

A Classification Supervised Auto-Encoder Based on Predefined Evenly-Distributed Class Centroids.

Qiuyu Zhu, Ruixin Zhang

CoRR, 2019

Class-Incremental Learning Based on Feature Extraction of CNN With Optimized Softmax and One-Class Classifiers.

Xin Ye, Qiuyu Zhu

IEEE Access, 2019

2018

HENet: A Highly Efficient Convolutional Neural Networks Optimized for Accuracy, Speed and Storage.

Qiuyu Zhu, Ruixin Zhang

CoRR, 2018

2017

The video face recognition method and system based on the fusion of multiple features.

Xin Ye, Qiuyu Zhu

Proceedings of the 10th International Congress on Image and Signal Processing, 2017