The video face recognition method and system based on the fusion of multiple features. - Xin Ye; Qiuyu Zhu 001 (CISP-BMEI, 2017)

HENet: A Highly Efficient Convolutional Neural Networks Optimized for Accuracy, Speed and Storage. - Qiuyu Zhu 001; Ruixin Zhang (CoRR, 2018)

Class-Incremental Learning Based on Feature Extraction of CNN With Optimized Softmax and One-Class Classifiers. - Xin Ye; Qiuyu Zhu 001 (IEEE Access, 2019)

A Classification Supervised Auto-Encoder Based on Predefined Evenly-Distributed Class Centroids. - Qiuyu Zhu 001; Ruixin Zhang (CoRR, 2019)

A New Loss Function for CNN Classifier Based on Pre-defined Evenly-Distributed Class Centroids. - Qiuyu Zhu 001; Pengju Zhang; Xin Ye (CoRR, 2019)

A New Loss Function for CNN Classifier Based on Predefined Evenly-Distributed Class Centroids. - Qiuyu Zhu 001; Pengju Zhang; Zhengyong Wang; Xin Ye (IEEE Access, 2020)

Semi-supervised learning method based on predefined evenly-distributed class centroids. - Qiuyu Zhu 001; Tian-tian Li (Appl. Intell., 2020)

An Image Clustering Auto-Encoder Based on Predefined Evenly-Distributed Class Centroids and MMD Distance. - Qiuyu Zhu 001; Zhengyong Wang (Neural Process. Lett., 2020)

Generation and Frame Characteristics of Predefined Evenly-Distributed Class Centroids for Pattern Classification. - Haiping Hu; Yingying Yan; Qiuyu Zhu 001; Guohui Zheng (IEEE Access, 2021)

Active Learning of Pattern Classification Based on PEDCC-Loss. - Qiuyu Zhu 001; Jianbing Luan; Tiantian Li; Xuewen Zu (IEEE Access, 2021)

Wavelet Loss Function for Auto-Encoder. - Qiuyu Zhu 001; Hu Wang 003; Ruixin Zhang (IEEE Access, 2021)

Single Underwater Image Enhancement Using an Analysis-Synthesis Network. - Zhengyong Wang; Liquan Shen; Mei Yu 001; Yufei Lin; Qiuyu Zhu 001 (CoRR, 2021)

A Softmax-free Loss Function Based on Predefined Optimal-distribution of Latent Features for CNN Classifier. - Qiuyu Zhu 001; Xuewen Zu (CoRR, 2021)

Incremental classifier learning based on PEDCC-loss and cosine distance. - Qiuyu Zhu 001; Zikuang He; Xin Ye (Multim. Tools Appl., 2021)

Fully Convolutional Neural Network Structure and Its Loss Function for Image Classification. - Qiuyu Zhu 001; Xuewen Zu (IEEE Access, 2022)

Out-of-Distribution Detection Based on Feature Fusion in Neural Network Classifier Pre-Trained by PEDCC-Loss. - Qiuyu Zhu 001; Guohui Zheng; Jiakang Shen; Rui Wang 034 (IEEE Access, 2022)

Class-Incremental Learning Based on Big Dataset Pre-Trained Models. - Bin Wen; Qiuyu Zhu 001 (IEEE Access, 2023)

Multi-stage feature decorrelation constraints for improving CNN classification performance. - Qiuyu Zhu 001; Xuewen Zu; Chengfei Liu (CoRR, 2023)

A Softmax-Free Loss Function Based on Predefined Optimal-Distribution of Latent Features for Deep Learning Classifier. - Qiuyu Zhu 001; Xuewen Zu (IEEE Trans. Circuits Syst. Video Technol., 2023)

Effective Out-of-Distribution Detection in Classifier Based on PEDCC-Loss. - Qiuyu Zhu 001; Guohui Zheng; Yingying Yan (Neural Process. Lett., 2023)

Out-of-Distribution Detection Based on Multiple Metrics Fusion of Network Hidden Features. - Qiuyu Zhu 001; Yiwei He (IEEE Access, 2024)

Out-of-distribution detection based on subspace projection of high-dimensional features output by the last convolutional layer. - Qiuyu Zhu 001; Yiwei He (CoRR, 2024)

CNN Pruning with Multi-Stage Feature Decorrelation. - Qiuyu Zhu 001; Chengfei Liu (Int. J. Pattern Recognit. Artif. Intell., 2024)

Class Incremental Learning Based on Playback Images Generated by Classification Network. - Qiuyu Zhu 001; Yunxiao Zhang; Yunhang Zhuo; Junli Chen (Int. J. Pattern Recognit. Artif. Intell., 2025)