Jinglong Du

According to our database, Jinglong Du authored at least 26 papers between 2016 and 2024.

Collaborative distances:

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

2024

A hybrid domain-based watermarking for vector maps utilizing a complementary advantage of discrete fourier transform and singular value decomposition.

Chengyi Qu, Jinglong Du, Xu Xi, Huimin Tian, Jie Zhang

Comput. Geosci., January, 2024

2023

Application of Robust Zero-Watermarking Scheme Based on Federated Learning for Securing the Healthcare Data.

Baoru Han, Rutvij H. Jhaveri, Han Wang, Dawei Qiao, Jinglong Du

IEEE J. Biomed. Health Informatics, February, 2023

2022

Robust Watermarking Scheme for Vector Geographic Data Based on the Ratio Invariance of DWT-CSVD Coefficients.

Chengyi Qu, Xu Xi, Jinglong Du, Tong Wu

ISPRS Int. J. Geo Inf., December, 2022

Hierarchical Interactive Network for joint aspect extraction and sentiment classification.

Wei Chen, Peiqin Lin, Wanqi Zhang, Jinglong Du, Zhongshi He

Knowl. Based Syst., 2022

Adjacent slices feature transformer network for single anisotropic 3D brain MRI image super-resolution.

Lulu Wang, Huazheng Zhu, Zhongshi He, Yuanyuan Jia, Jinglong Du

Biomed. Signal Process. Control., 2022

Coarse-to-fine segmentation and ensemble convolutional neural networks for automated pediatric bone age assessment.

Rui Liu, Huazheng Zhu, Lulu Wang, Baoru Han, Jinglong Du, Yuanyuan Jia

Biomed. Signal Process. Control., 2022

Cross-modal Adversarial Reprogramming.

Paarth Neekhara, Shehzeen Hussain, Jinglong Du, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

3d Cross-Scale Feature Transformer Network for Brain Mr Image Super-Resolution.

Wanqi Zhang, Lulu Wang, Wei Chen, Yuanyuan Jia, Zhongshi He, Jinglong Du

Proceedings of the IEEE International Conference on Acoustics, 2022

SubCrime: Counterfactual Data Augmentation for Target Sentiment Analysis.

Wei Chen, Lulu Wang, Jinglong Du, Zhongshi He

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis.

Wei Chen, Jinglong Du, Zhao Zhang, Fuzhen Zhuang, Zhongshi He

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

3D dense convolutional neural network for fast and accurate single MR image super-resolution.

Lulu Wang, Jinglong Du, Ali Gholipour, Huazheng Zhu, Zhongshi He, Yuanyuan Jia

Comput. Medical Imaging Graph., 2021

High-Resolution Recurrent Gated Fusion Network for 3D Pancreas Segmentation.

Weijia Li, Xing Wu, Yangjinan Hu, Lulu Wang, Zhongshi He, Jinglong Du

Proceedings of the International Joint Conference on Neural Networks, 2021

Gating Feature Dense Network for Single Anisotropic Mr Image Super-Resolution.

Weidong He, Yangjinan Hu, Lulu Wang, Zhongshi He, Jinglong Du

Proceedings of the IEEE International Conference on Acoustics, 2021

Learning a Frequency Separation Network with Hybrid Convolution and Adaptive Aggregation for Low-dose CT Denoising.

Xuecong Jiang, Lulu Wang, Zhongshi He, Jinglong Du

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Context prior-based with residual learning for face detection: A deep convolutional encoder-decoder network.

Zexun Zhou, Zhongshi He, Yuanyuan Jia, Jinglong Du, Lulu Wang, Ziyu Chen

Signal Process. Image Commun., 2020

Super-resolution reconstruction of single anisotropic 3D MR images using residual convolutional neural network.

Jinglong Du, Zhongshi He, Lulu Wang, Ali Gholipour, Zexun Zhou, Dingding Chen, Yuanyuan Jia

Neurocomputing, 2020

3D dense connectivity network with atrous convolutional feature pyramid for brain tumor segmentation in magnetic resonance imaging of human heads.

Zexun Zhou, Zhongshi He, Meifeng Shi, Jinglong Du, Dingding Chen

Comput. Biol. Medicine, 2020

Brain MRI Super-Resolution Using 3D Dilated Convolutional Encoder-Decoder Network.

Jinglong Du, Lulu Wang, Yulu Liu, Zexun Zhou, Zhongshi He, Yuanyuan Jia

IEEE Access, 2020

LSDDN: A Lightweight End-to-End Network for Surface Defect Detection.

Yang Qin, Yongkang Xing, Jinglong Du

Proceedings of the ICIAI 2020: The 4th International Conference on Innovation in Artificial Intelligence, 2020

A Model-Based Deep Network for MRI Reconstruction Using Approximate Message Passing Algorithm.

Xiaoyu Qiao, Jinglong Du, Lulu Wang, Zhongshi He, Yuanyuan Jia

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Brain MR Image Super-resolution using 3D Feature Attention Network.

Lulu Wang, Jinglong Du, Huazheng Zhu, Zhongshi He, Yuanyuan Jia

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Brain MRI Super-resolution Reconstruction using a Multi-level and Parallel Conv-Deconv Network.

Lulu Wang, Jinglong Du, Ali Gholipour, Zhongshi He, Yuanyuan Jia

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

FHEDN: A context modeling Feature Hierarchy Encoder-Decoder Network for face detection.

Zexun Zhou, Zhongshi He, Ziyu Chen, Yuanyuan Jia, Haiyan Wang, Jinglong Du, Dingding Chen, Lulu Wang, Jing Chen

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Accelerated Super-resolution MR Image Reconstruction via a 3D Densely Connected Deep Convolutional Neural Network.

Jinglong Du, Lulu Wang, Ali Gholipour, Zhongshi He, Yuanyuan Jia

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

FHEDN: A based on context modeling Feature Hierarchy Encoder-Decoder Network for face detection.

Zexun Zhou, Zhongshi He, Ziyu Chen, Yuanyuan Jia, Haiyan Wang, Jinglong Du, Dingding Chen

CoRR, 2017

2016

Spam filtering by semantics-based text classification.

Wei Hu, Jinglong Du, Yongkang Xing

Proceedings of the Eighth International Conference on Advanced Computational Intelligence, 2016