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ORCIDJinjing Zhang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j15]Zhaotong Guo
, Pinle Qin, Jianchao Zeng, Rui Chai, Zhifang Wu, Jinjing Zhang, Jia Qin, Zanxia Jin, Pengcheng Zhao, Yixiong Wang:
RFLSE: Joint radiomics feature-enhanced level-set segmentation for low-contrast SPECT/CT tumour images. IET Image Process. 18(10): 2715-2731 (2024)- [j14]Lijun Zhao, Bintao Chen, Jinjing Zhang, Anhong Wang, Huihui Bai:
RIRO: From Retinex-Inspired Reconstruction Optimization Model to Deep Low-Light Image Enhancement Unfolding Network. IEEE Trans. Computational Imaging 10: 969-983 (2024) - [j13]Xinlu Wang, Lijun Zhao, Jinjing Zhang, Anhong Wang, Huihui Bai:
A Wavelet-Domain Consistency-Constrained Compressive Sensing Framework Based on Memory-Boosted Guidance Filtering. IEEE Trans. Instrum. Meas. 73: 1-16 (2024) - [j12]Lijun Zhao, Jialong Zhang, Jinjing Zhang, Huihui Bai, Anhong Wang:
Joint Discontinuity-Aware Depth Map Super-Resolution via Dual-Tasks Driven Unfolding Network. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [c18]Jinjing Zhang, He Ren, Shijing Guo, Jianzhi Sun:
Multi-model Collaboration and Prompt-driven Patent Classification Methods. CAIBDA 2024: 332-336 - 2023
- [j11]Lijun Zhao, Ke Wang, Jinjing Zhang, Anhong Wang, Huihui Bai:
Learning deep texture-structure decomposition for low-light image restoration and enhancement. Neurocomputing 524: 126-141 (2023) - [j10]Lijun Zhao, Xinlu Wang, Jinjing Zhang, Anhong Wang, Huihui Bai:
Boundary-constrained interpretable image reconstruction network for deep compressive sensing. Knowl. Based Syst. 275: 110681 (2023) - [j9]Ke Wang, Lijun Zhao, Jinjing Zhang, Jialong Zhang, Anhong Wang, Huihui Bai:
Joint depth map super-resolution method via deep hybrid-cross guidance filter. Pattern Recognit. 136: 109260 (2023) - [c17]Xinlu Wang, Lijun Zhao, Jinjing Zhang, Yufeng Zhang, Anhong Wang:
Edge-Guided Interpretable Neural Network for Image Compressive Sensing Reconstruction. ICIG (3) 2023: 287-298 - [c16]Lijun Zhao, Ke Wang, Jinjing Zhang, Jie Zhao, Anhong Wang:
A Joint Model-Driven Unfolding Network for Degraded Low-Quality Color-Depth Images Enhancement. ICIP 2023: 625-629 - [c15]Jialong Zhang, Lijun Zhao, Jinjing Zhang, Ke Wang, Anhong Wang:
Explainable Unfolding Network For Joint Edge-Preserving Depth Map Super-Resolution. ICME 2023: 888-893 - [c14]Xinlu Wang, Lijun Zhao, Jinjing Zhang, Yufeng Zhang, Anhong Wang:
WDU-Net: Wavelet-Guided Deep Unfolding Network for Image Compressed Sensing Reconstruction. PRCV (6) 2023: 79-91 - [c13]Jialong Zhang, Lijun Zhao, Jinjing Zhang, Bintao Chen, Anhong Wang:
Deep Arbitrary-Scale Unfolding Network for Color-Guided Depth Map Super-Resolution. PRCV (10) 2023: 225-236 - 2022
- [j8]Jinjing Zhang, Lijun Zhao, Jianchao Zeng, Pinle Qin, Yanbo Wang, Xiaoqing Yu:
Deep MRI glioma segmentation via multiple guidances and hybrid enhanced-gradient cross-entropy loss. Expert Syst. Appl. 196: 116608 (2022) - [j7]Lijun Zhao, Jinjing Zhang, Huihui Bai, Anhong Wang, Yao Zhao:
LMDC: Learning a multiple description codec for deep learning-based image compression. Multim. Tools Appl. 81(10): 13889-13910 (2022) - [c12]Congying Cao, Lijun Zhao, Jinjing Zhang, Xinlu Wang, Anhong Wang:
D2-UTransforIner: Deep Modulated Dual-UTransformer for Multiple Description Image Enhancement. MIPR 2022: 146-151 - [c11]Jinjing Zhang, Lijun Zhao, Jianchao Zeng, Pinle Qin:
SF-SegFormer: Stepped-Fusion Segmentation Transformer for Brain Tissue Image via Inter-Group Correlation and Enhanced Multi-layer Perceptron. MIUA 2022: 508-518 - 2021
- [j6]Jinjing Zhang, Jianchao Zeng, Pinle Qin, Lijun Zhao:
Brain tumor segmentation of multi-modality MR images via triple intersecting U-Nets. Neurocomputing 421: 195-209 (2021) - [c10]Jinjing Zhang, Kai Lin, Wen Ding, Yinchi Ma:
Research on Beijing Consumers' Willingness to Purchase Home Intelligent Aquarium equipment: Based on binary Logisticregression models. ICCIR 2021: 584-588 - 2020
- [i1]Lijun Zhao, Jinjing Zhang, Fan Zhang, Anhong Wang, Huihui Bai, Yao Zhao:
Concurrently Extrapolating and Interpolating Networks for Continuous Model Generation. CoRR abs/2001.03847 (2020)
2010 – 2019
- 2019
- [j5]Fei Hu, Li Li, Xiaofei Xu, Jingyuan Wang, Jinjing Zhang:
Opinion extraction by distinguishing term dependencies and digging deep text features. Neural Comput. Appl. 31(9): 5419-5429 (2019) - [j4]Jinjing Zhang, Fei Hu, Li Li, Xiaofei Xu, Zhanbo Yang, Yanbin Chen:
An adaptive mechanism to achieve learning rate dynamically. Neural Comput. Appl. 31(10): 6685-6698 (2019) - [j3]Pinle Qin, Jinjing Zhang, Jianchao Zeng, Haiyan Liu, Yuhao Cui:
A framework combining DNN and level-set method to segment brain tumor in multi-modalities MR image. Soft Comput. 23(19): 9237-9251 (2019) - 2018
- [j2]Xiaofei Xu, Li Li, Jinjing Zhang, Jing Wang, Shuo He:
Content tracking by leveraging hashtag and time information in Twitter social media. Web Intell. 16(2): 113-122 (2018) - [j1]Jinjing Zhang, Fei Hu, Xiaofei Xu, Li Li:
Stochastic gradient descent with variance reduction technique. Web Intell. 16(3): 187-194 (2018) - 2017
- [c9]Jinjing Zhang, Jing Wang, Li Li:
Context-Aware Topic Modeling for Content Tracking in Social Media. APWeb/WAIM (1) 2017: 650-658 - [c8]Pinle Qin, Zirui Cheng, Yuhao Cui, Jinjing Zhang, Qiguang Miao:
Research on Image Colorization Algorithm Based on Residual Neural Network. CCCV (1) 2017: 608-621 - [c7]Zhanbo Yang, Fei Hu, Jingyuan Wang, Jinjing Zhang, Li Li:
Learning Image Representation Based on Convolutional Neural Networks. ICONIP (2) 2017: 642-652 - [c6]Jinjing Zhang, Fei Hu, Li Li, Xiaofei Xu, Zhanbo Yang:
AEDR: An Adaptive Mechanism to Achieve Online Learning Rate Dynamically. ICTAI 2017: 30-36 - [c5]Wen Ding, Yinchi Ma, Jinjing Zhang:
Remote Monitoring and Control System for Aquarium Based on Mobile Communication Platform. CCTA (1) 2017: 462-467 - [c4]Wenli Yu, Li Li, Fan Li, Jinjing Zhang, Fei Hu:
Exploring Latent Bundles from Social Behaviors for Personalized Ranking. KSEM 2017: 371-379 - [c3]Wenli Yu, Li Li, Fei Hu, Fan Li, Jinjing Zhang:
Modeling Complementary Relationships of Cross-Category Products for Personal Ranking. WISE (2) 2017: 98-106 - 2016
- [c2]Fan Li, Wenli Yu, Jinjing Zhang, Li Li:
Quantitative Analysis Academic Evaluation Based on Attenuation-Mechanism. KSEM 2016: 149-158 - [c1]Jinjing Zhang, Fan Li, Xiaobin Yang, Li Li:
Stability Analysis of Switched Systems. KSEM 2016: 478-488
Coauthor Index
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