Ningbo Zhu

According to our database, Ningbo Zhu authored at least 31 papers between 2012 and 2025.

Collaborative distances:

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

2025

ThyFusion: A lightweight attribute enhancement module for thyroid nodule diagnosis using gradient and frequency-domain awareness.

Guanyuan Chen, Ningbo Zhu, Jianxin Lin, Bin Pu, Hongxia Luo, Kenli Li

Neurocomputing, 2025

2024

Deep ocular tumor classification model using cuckoo search algorithm and Caputo fractional gradient descent.

Abduljlil Abduljlil Ali Abduljlil Habeb, Ningbo Zhu, Mundher Mohammed Taresh, Talal Ahmed Ali Ali

PeerJ Comput. Sci., 2024

Demo: Blockchain Shield - Advanced Threat Detection & Forensic Analysis Platform.

Ningbo Zhu, Jinghan Sun, Shuyi Zhang, Xinyao Sun, Irene Cheng

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

2022

MobileUNet-FPN: A Semantic Segmentation Model for Fetal Ultrasound Four-Chamber Segmentation in Edge Computing Environments.

Bin Pu, Yuhuan Lu, Jianguo Chen, Shengli Li, Ningbo Zhu, Wei Wei, Kenli Li

IEEE J. Biomed. Health Informatics, 2022

Multi-stage complex task assignment in spatial crowdsourcing.

Zhao Liu, Kenli Li, Xu Zhou, Ningbo Zhu, Yunjun Gao, Keqin Li

Inf. Sci., 2022

Source selection and transfer defect learning based cross-project defect prediction.

Wanzhi Wen, Ningbo Zhu, Bingqing Ye, Xikai Li, Chuyue Wang, Jiawei Chu, Yuehua Li

Int. J. Comput. Sci. Math., 2022

Using a novel fractional-order gradient method for CNN back-propagation.

Mundher Mohammed Taresh, Ningbo Zhu, Talal Ahmed Ali Ali, Mohammed Alghaili, Weihua Guo

CoRR, 2022

Cross-Project Software Defect Prediction Based on Class Code Similarity.

Wanzhi Wen, Chenqiang Shen, Xiaohong Lu, Zhixian Li, Haoren Wang, Ruinian Zhang, Ningbo Zhu

IEEE Access, 2022

2021

CacheTrack-YOLO: Real-Time Detection and Tracking for Thyroid Nodules and Surrounding Tissues in Ultrasound Videos.

Xiangqiong Wu, Guanghua Tan, Ningbo Zhu, Zhilun Chen, Yan Yang, Huaxuan Wen, Kenli Li

IEEE J. Biomed. Health Informatics, 2021

Automatic Fetal Ultrasound Standard Plane Recognition Based on Deep Learning and IIoT.

Bin Pu, Kenli Li, Shengli Li, Ningbo Zhu

IEEE Trans. Ind. Informatics, 2021

Solving Many-Objective Optimization Problems by a Pareto-Based Evolutionary Algorithm With Preprocessing and a Penalty Mechanism.

Yuan Liu, Ningbo Zhu, Miqing Li

IEEE Trans. Cybern., 2021

KL-MOB: automated COVID-19 recognition using a novel approach based on image enhancement and a modified MobileNet CNN.

Mundher Mohammed Taresh, Ningbo Zhu, Talal Ahmed Ali Ali, Mohammed Alghaili, Asaad Shakir Hameed, Modhi Lafta Mutar

PeerJ Comput. Sci., 2021

A decomposition-based multiobjective evolutionary algorithm with weights updated adaptively.

Yuan Liu, Yikun Hu, Ningbo Zhu, Kenli Li, Juan Zou, Miqing Li

Inf. Sci., 2021

Transfer Learning to Detect COVID-19 Automatically from X-Ray Images Using Convolutional Neural Networks.

Mundher Mohammed Taresh, Ningbo Zhu, Talal Ahmed Ali Ali, Asaad Shakir Hameed, Modhi Lafta Mutar

Int. J. Biomed. Imaging, 2021

Fetal cardiac cycle detection in multi-resource echocardiograms using hybrid classification framework.

Bin Pu, Ningbo Zhu, Kenli Li, Shengli Li

Future Gener. Comput. Syst., 2021

Representation, Analysis of Bayesian Refinement Approximation Network: A Survey.

Ningbo Zhu, Fei Yang

CoRR, 2021

2020

Incentive Mechanisms for Crowdsensing: Motivating Users to Preprocess Data for the Crowdsourcer.

Zhao Liu, Kenli Li, Xu Zhou, Ningbo Zhu, Keqin Li

ACM Trans. Sens. Networks, 2020

Self-learning residual model for fast intra CU size decision in 3D-HEVC.

Yue Li, Ningbo Zhu, Gaobo Yang, Yapei Zhu, Xiangling Ding

Signal Process. Image Commun., 2020

Cross-modal recipe retrieval via parallel- and cross-attention networks learning.

Da Cao, Jingjing Chu, Ningbo Zhu, Liqiang Nie

Knowl. Based Syst., 2020

An angle dominance criterion for evolutionary many-objective optimization.

Yuan Liu, Ningbo Zhu, Kenli Li, Miqing Li, Jinhua Zheng, Keqin Li

Inf. Sci., 2020

ED-ACNN: Novel attention convolutional neural network based on encoder-decoder framework for human traffic prediction.

Bin Pu, Yuan Liu, Ningbo Zhu, Kenli Li, Keqin Li

Appl. Soft Comput., 2020

End-to-end Physical Layer Communication using Bi-directional GRUs for ISI Channels.

Huihui Wu, Yitian Zhang, Xueqing Zhao, Ningbo Zhu, Mark Coates

Proceedings of the IEEE Globecom Workshops, 2020

2019

Robust Localization of Interpolated Frames by Motion-Compensated Frame Interpolation Based on an Artifact Indicated Map and Tchebichef Moments.

Xiangling Ding, Ningbo Zhu, Leida Li, Yue Li, Gaobo Yang

IEEE Trans. Circuits Syst. Video Technol., 2019

PCA-SVM-Based Approach of Detecting Low-Rate DoS Attack.

Dongshuo Zhang, Dan Tang, Liu Tang, Rui Dai, Jingwen Chen, Ningbo Zhu

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

Low-Rate DoS Attack Detection Based on Improved Logistic Regression.

Yudong Yan, Dan Tang, Sijia Zhan, Rui Dai, Jingwen Chen, Ningbo Zhu

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2018

Joint features classifier with genetic set for undersampled face recognition.

Ningbo Zhu, Shuoxuan Chen

Neural Comput. Appl., 2018

2015

Group representation-based classification.

Ningbo Zhu, Lei Wei, Ting Xu

Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

A two-phase method based on virtual test samples and face recognition experiments.

Ting Xu, Ningbo Zhu

Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

2014

A Kernel-based sparse representation method for face recognition.

Ningbo Zhu, Shengtao Li

Neural Comput. Appl., 2014

A novel sparse representation method based on virtual samples for face recognition.

Deyan Tang, Ningbo Zhu, Fu Yu, Wei Chen, Ting Tang

Neural Comput. Appl., 2014

2012

A MCEA based passive forensics scheme for detecting frame-based video tampering.

Qiong Dong, Gaobo Yang, Ningbo Zhu

Digit. Investig., 2012