Jinjing Zhang

According to our database, Jinjing Zhang authored at least 34 papers between 2016 and 2024.

Collaborative distances:

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

2024

RFLSE: Joint radiomics feature-enhanced level-set segmentation for low-contrast SPECT/CT tumour images.

Zhaotong Guo, Pinle Qin, Jianchao Zeng, Rui Chai, Zhifang Wu, Jinjing Zhang, Jia Qin, Zanxia Jin, Pengcheng Zhao, Yixiong Wang

IET Image Process., August, 2024

Joint Discontinuity-Aware Depth Map Super-Resolution via Dual-Tasks Driven Unfolding Network.

Lijun Zhao, Jialong Zhang, Jinjing Zhang, Huihui Bai, Anhong Wang

IEEE Trans. Instrum. Meas., 2024

A Wavelet-Domain Consistency-Constrained Compressive Sensing Framework Based on Memory-Boosted Guidance Filtering.

Xinlu Wang, Lijun Zhao, Jinjing Zhang, Anhong Wang, Huihui Bai

IEEE Trans. Instrum. Meas., 2024

RIRO: From Retinex-Inspired Reconstruction Optimization Model to Deep Low-Light Image Enhancement Unfolding Network.

Lijun Zhao, Bintao Chen, Jinjing Zhang, Anhong Wang, Huihui Bai

IEEE Trans. Computational Imaging, 2024

Multi-model Collaboration and Prompt-driven Patent Classification Methods.

Jinjing Zhang, He Ren, Shijing Guo, Jianzhi Sun

Proceedings of the 2024 4th International Conference on Artificial Intelligence, 2024

2023

Joint depth map super-resolution method via deep hybrid-cross guidance filter.

Ke Wang, Lijun Zhao, Jinjing Zhang, Jialong Zhang, Anhong Wang, Huihui Bai

Pattern Recognit., April, 2023

Learning deep texture-structure decomposition for low-light image restoration and enhancement.

Lijun Zhao, Ke Wang, Jinjing Zhang, Anhong Wang, Huihui Bai

Neurocomputing, March, 2023

Boundary-constrained interpretable image reconstruction network for deep compressive sensing.

Lijun Zhao, Xinlu Wang, Jinjing Zhang, Anhong Wang, Huihui Bai

Knowl. Based Syst., 2023

Deep Arbitrary-Scale Unfolding Network for Color-Guided Depth Map Super-Resolution.

Jialong Zhang, Lijun Zhao, Jinjing Zhang, Bintao Chen, Anhong Wang

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

WDU-Net: Wavelet-Guided Deep Unfolding Network for Image Compressed Sensing Reconstruction.

Xinlu Wang, Lijun Zhao, Jinjing Zhang, Yufeng Zhang, Anhong Wang

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Explainable Unfolding Network For Joint Edge-Preserving Depth Map Super-Resolution.

Jialong Zhang, Lijun Zhao, Jinjing Zhang, Ke Wang, Anhong Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

A Joint Model-Driven Unfolding Network for Degraded Low-Quality Color-Depth Images Enhancement.

Lijun Zhao, Ke Wang, Jinjing Zhang, Jie Zhao, Anhong Wang

Proceedings of the IEEE International Conference on Image Processing, 2023

Edge-Guided Interpretable Neural Network for Image Compressive Sensing Reconstruction.

Xinlu Wang, Lijun Zhao, Jinjing Zhang, Yufeng Zhang, Anhong Wang

Proceedings of the Image and Graphics - 12th International Conference, 2023

2022

LMDC: Learning a multiple description codec for deep learning-based image compression.

Lijun Zhao, Jinjing Zhang, Huihui Bai, Anhong Wang, Yao Zhao

Multim. Tools Appl., 2022

Deep MRI glioma segmentation via multiple guidances and hybrid enhanced-gradient cross-entropy loss.

Jinjing Zhang, Lijun Zhao, Jianchao Zeng, Pinle Qin, Yanbo Wang, Xiaoqing Yu

Expert Syst. Appl., 2022

SF-SegFormer: Stepped-Fusion Segmentation Transformer for Brain Tissue Image via Inter-Group Correlation and Enhanced Multi-layer Perceptron.

Jinjing Zhang, Lijun Zhao, Jianchao Zeng, Pinle Qin

Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

D²-UTransforIner: Deep Modulated Dual-UTransformer for Multiple Description Image Enhancement.

Congying Cao, Lijun Zhao, Jinjing Zhang, Xinlu Wang, Anhong Wang

Proceedings of the 5th IEEE International Conference on Multimedia Information Processing and Retrieval, 2022

2021

Brain tumor segmentation of multi-modality MR images via triple intersecting U-Nets.

Jinjing Zhang, Jianchao Zeng, Pinle Qin, Lijun Zhao

Neurocomputing, 2021

Research on Beijing Consumers' Willingness to Purchase Home Intelligent Aquarium equipment: Based on binary Logisticregression models.

Jinjing Zhang, Kai Lin, Wen Ding, Yinchi Ma

Proceedings of the ICCIR 2021: International Conference on Control and Intelligent Robotics, 2021

2020

Concurrently Extrapolating and Interpolating Networks for Continuous Model Generation.

Lijun Zhao, Jinjing Zhang, Fan Zhang, Anhong Wang, Huihui Bai, Yao Zhao

CoRR, 2020

2019

A framework combining DNN and level-set method to segment brain tumor in multi-modalities MR image.

Pinle Qin, Jinjing Zhang, Jianchao Zeng, Haiyan Liu, Yuhao Cui

Soft Comput., 2019

An adaptive mechanism to achieve learning rate dynamically.

Jinjing Zhang, Fei Hu, Li Li, Xiaofei Xu, Zhanbo Yang, Yanbin Chen

Neural Comput. Appl., 2019

Opinion extraction by distinguishing term dependencies and digging deep text features.

Fei Hu, Li Li, Xiaofei Xu, Jingyuan Wang, Jinjing Zhang

Neural Comput. Appl., 2019

2018

Stochastic gradient descent with variance reduction technique.

Jinjing Zhang, Fei Hu, Xiaofei Xu, Li Li

Web Intell., 2018

Content tracking by leveraging hashtag and time information in Twitter social media.

Xiaofei Xu, Li Li, Jinjing Zhang, Jing Wang, Shuo He

Web Intell., 2018

2017

Modeling Complementary Relationships of Cross-Category Products for Personal Ranking.

Wenli Yu, Li Li, Fei Hu, Fan Li, Jinjing Zhang

Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

Exploring Latent Bundles from Social Behaviors for Personalized Ranking.

Wenli Yu, Li Li, Fan Li, Jinjing Zhang, Fei Hu

Proceedings of the Knowledge Science, Engineering and Management, 2017

Remote Monitoring and Control System for Aquarium Based on Mobile Communication Platform.

Wen Ding, Yinchi Ma, Jinjing Zhang

Proceedings of the Computer and Computing Technologies in Agriculture XI, 2017

AEDR: An Adaptive Mechanism to Achieve Online Learning Rate Dynamically.

Jinjing Zhang, Fei Hu, Li Li, Xiaofei Xu, Zhanbo Yang

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Learning Image Representation Based on Convolutional Neural Networks.

Zhanbo Yang, Fei Hu, Jingyuan Wang, Jinjing Zhang, Li Li

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Research on Image Colorization Algorithm Based on Residual Neural Network.

Pinle Qin, Zirui Cheng, Yuhao Cui, Jinjing Zhang, Qiguang Miao

Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

Context-Aware Topic Modeling for Content Tracking in Social Media.

Jinjing Zhang, Jing Wang, Li Li

Proceedings of the Web and Big Data - First International Joint Conference, 2017

2016

Stability Analysis of Switched Systems.

Jinjing Zhang, Fan Li, Xiaobin Yang, Li Li

Proceedings of the Knowledge Science, Engineering and Management, 2016

Quantitative Analysis Academic Evaluation Based on Attenuation-Mechanism.

Fan Li, Wenli Yu, Jinjing Zhang, Li Li

Proceedings of the Knowledge Science, Engineering and Management, 2016