Jinglong Du (杜井龙) PostDoc, Research Associate College of Medical Informatics, Chongqing Medical University Email：jldu@cqu.edu.cn Address：1 Yixueyuan Road, Yuzhong District, Chongqing 400016, P.R.China [Google Schola] [ORCID]

Research Interests

• MRI Super-resoultion

• Image Restoration

• Deep Learning

Education and Experience

• 2022-now Research Associate, College of Medical Informatics, Chongqing Medical University

• 2020–2022 PostDoc, College of Medical Informatics, Chongqing Medical University

• 2016-2020 Ph.D, College of Computer Science, Chongqing University

• 2013-2016 Master, College of Computer Science, Chongqing University

Courses

• Image Processing

• Machine Learning

• Python

Selected Publications

• Ziqian Ye, Jinglong Du, Keyu Li, Zhilun Zhang, Peng Xiao, Taocui Yan, Baoru Han*, Guowei Zuo*, “Coupled Gold Nanoparticles with Aptamers Colorimetry for Detection of Amoxicillin in Human Breast Milk Based on Image Preprocessing and BP-ANN”, Foods, vol. 11(24), pp. 4101, 2023.

• Wei Chen, Peiqin Lin, Wanqi Zhang, Jinglong Du* and Zhongshi He*, “Hierarchical Interactive Network for Joint Aspect Extraction and Sentiment Classification”, Knowledge-Based Systems, vol. 256, pp. 109825, 2022.

• Wei Chen, Jinglong Du, Zhao Zhang, Fuzhen Zhuang* and Zhongshi He*, “ A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis”, Proceedings of the 29th International Conference on Computational Linguistics, pp.7013-7019, 2022.

• Rui Liu, Huazheng Zhu, Lulu Wang, Baoru Han, Jinglong Du* and Yuanyuan Jia*, “ Coarse-to-fine segmentation and ensemble convolutional neural networks for automated pediatric bone age assessment”, Biomedical Signal Processing and Control, vol. 75, pp. 103532, 2022.

• Lulu Wang, Huazheng Zhu, Zhongshi He*, Jia Yuanyuan and Jinglong Du*, “ Adjacent slices feature transformer network for single anisotropic 3D brain MRI image super-resolutiont”, Biomedical Signal Processing and Control, vol. 72, pp. 103339, 2022.

• Shixin Tu, Yuanyuan Jia, Jinglong Du* and Baoru Han*, “ Application of Zero-watermarking for Medical Image in Intelligent Sensor Network Security”, Computer Modeling in Engineering & Sciences, 2022. (Accepted)

• Wei Chen, Lulu Wang, Jinglong Du* and Zhongshi He, “ SubCrime: Counterfactual Data Augmentation for Target Sentiment Analysis”, 31st International Conference on Artificial Neural Networks, pp.307-319 2022.

• Wanqi Zhang, Lulu Wang, Wei Chen, Yuanyuan Jia, Zhongshi He* and Jinglong Du*, “ 3D Cross-scale Feature Transformer Network for Brain MR Image Super-resolution”, 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.1356-1360, 2022.

• Baoru Han, Rutvij Jhaveri, Han Wang, Dawei Qiao and Jinglong Du, “ Application of Robust Zero-Watermarking Scheme Based on Federated Learning for Securing the Healthcare Data ”, IEEE Journal of Biomedical and Health Informatics, 2021. (Accepted)

• Lulu Wang, Jinglong Du, Ali Gholipour, Huazheng Zhu, Zhongshi He* and Yuanyuan Jia*, “ 3D Dense Convolutional Neural Network for Fast and Accurate Single MR Image Super-resolution”, Computerized Medical Imaging and Graphics, vol. 93, pp. 101973, 2021.

• Baoru Han, Jinglong Du, Yuanyuan Jia and Huazheng Zhu*, “ Zero-Watermarking Algorithm for Medical Image Based on VGG19 Deep Convolution Neural Networ”, Journal of Healthcare Engineering, 2021.

• Weidong He, Yangjinan Hu, Lulu Wang, Zhongshi He* and Jinglong Du*, “ Gating Feature Dense Network for Single Anisotropic Mr Image Super-Resolution”, 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1670-1674, 2021.

• Xuecong Jiang, Lulu Wang, Zhongshi He, Zhongshi He* and Jinglong Du*, “ Learning a Frequency Separation Network with Hybrid Convolution and Adaptive Aggregation for Low-dose CT Denoising”, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp.919-925, 2021.

• Weijia Li, Xing Wu*, Yangjinan Hu, Lulu Wang, Zhongshi He* and Jinglong Du*, “ High-Resolution Recurrent Gated Fusion Network for 3D Pancreas Segmentation”, The 2021 International Joint Conference on Neural Networks (IJCNN), 2021.

• Huazheng Zhu, Jinglong Du, LuLu Wang, Baoru Han, and Yuanyuan Jia, “ A vision-based fall detection framework for the elderly in a room environment using motion features and DAG-SVM”, , 2021.

• Lulu Wang, Jinglong Du, Huazheng Zhu, Zhongshi He, Yuanyuan Jia, “ Brain MR image Super-resolution using 3D Feature Attention Network”, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp.1151-1155 2021.

• Xiaoyu Qiao, Jinglong Du, Lulu Wang, Zhongshi He* and Yuanyuan Jia*, “ A Model-Based Deep Network for MRI Reconstruction Using Approximate Message Passing Algorithm”, 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.1105-1109, 2021.

• Jinglong Du, Lulu Wang, Yulu Liu, Zexun Zhou, Zhongshi He, Yuanyuan Jia “ Brain MRI Super-resolution Using 3D Dilated Convolutional Encoder-Decoder Network”, IEEE Access, vol.8, pp.2169-3536, 2020.

• Jinglong Du, Zhongshi He*, Lulu Wang, Ali Gholipour, Zexun Zhou, Dingding Chen, Yuanyuan Jia*, “ Super-resolution reconstruction of single anisotropic 3D MR images using residual convolutional neural network”, Neurocomputing, vol.392, pp.209-220 2020.

• Zexun Zhou, Zhongshi He*, Yuanyuan Jia, Jinglong Du, Lulu Wang and Ziyu Chen, “ Context Prior-based with Residual Learning for Face Detection: A Deep Convolutional Encoder-Decoder Network”, Signal Processing: Image Communication, vol.88, pp.115948, 2020.

• Zexun Zhou, Zhongshi He*, Meifeng Shi, Jinglong Du and Dingding Chen, “ 3D Dense Connectivity Network with Atrous Convolutional Feature Pyramid for Brain Tumor Segmentation in Magnetic Resonance Imaging of Human Heads”, Computers in Biology and Medicine, vol.121, pp.103766, 2020.

• Lulu Wang, Jinglong Du, Ali Gholipour, Zhongshi He* and Yuanyuan Jia*, “ Brain MRI Super-resolution Reconstruction using a Multi-level and Parallel Conv-Deconv Network”, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp.885-891, 2019.

• Jinglong Du, Lulu Wang, Ali Gholipour, Zhongshi H*e and Yuanyuan Jia*, “ Accelerated super-resolution MR image reconstruction via a 3D densely connected deep convolutional neural network”, 2018 IEEE international conference on bioinformatics and biomedicine (BIBM), pp.349-355, 2018.

• Zexun Zhou, Zhongshi He*, Ziyu Chen, Yuanyuan Jia, Haiyan Wang, Jinglong Du, Dingding Chen, Lulu Wang, Jing Chen, “ FHEDN: A context modeling feature hierarchy encoder-decoder network for face detection”, 2018 International Joint Conference on Neural Networks (IJCNN), pp.349-355, 2018.

• Wei Hu, Jinglong Du, Yongkang Xing*, “ Spam filtering by semantics-based text classification”, 2016 Eighth International Conference on Advanced Computational Intelligence (ICACI), pp.89-94, 2016.

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Research Grants

• The Natural Science Foundation of Chongqing, China (Grant No. cstc2021jcyj-bshX0168)

• The Intelligent Medical Project of Chongqing Medicl University (Grant No. ZHYXQNRC202101)

• The Innovation Foundation of Chongqing, China (Grant No. CYB18057)