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ORCIDJinjia Wang
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2020 – today
- 2024
[j8]Yan Xu
, Xinyao Ma, Xuan Wang, Jinjia Wang, Gang Tang, Zhong Ji:
Unified feature learning network for few-shot fault diagnosis. Neurocomputing 598: 128035 (2024)- [j7]Jinjia Wang, Pengyu Li, Yali Zhang, Ze Li, Jingchen Xu, Qian Wang, Jing Li:
Automatic calculation of step size and inertia parameter for convolutional dictionary learning. Pattern Recognit. 152: 110443 (2024) - [j6]Yixuan Mao, Xiaorong Li, Menglan Duan, Yongcun Feng, Jinjia Wang, Hongyuan Men, Heng Yang:
A novel mooring system anomaly detection framework for SEMI based on improved residual network with attention mechanism and feature fusion. Reliab. Eng. Syst. Saf. 245: 109970 (2024) - [c12]Xiaofan Wang, Zhiyuan Deng, Changle Wang, Jinjia Wang:
Inertial Algorithm with Dry Fraction and Convolutional Sparse Coding for 3D Localization with Light Field Microscopy. AAAI 2024: 20830-20837 - 2023
- [j5]Pengyu Li, Yali Zhang, Ze Li, Jinjia Wang:
Iterative shrinkage-thresholding algorithm with inertia and dry friction for convolutional dictionary learning. Digit. Signal Process. 140: 104139 (2023) - [j4]Jing Li, Xiao Wei, Qiuhui Li, Yali Zhang, Ze Li, Jin Li, Jinjia Wang:
Proximal gradient nonconvex optimization algorithm for the slice-based ℓ0-constrained convolutional dictionary learning. Knowl. Based Syst. 260: 110185 (2023) - [c11]Jingchen Xu, Yali Zhang, Ze Li, Jinjia Wang:
Image Fusion Via Slice-Based Convolutional Sparse Representation. ICASSP 2023: 1-5 - [c10]Xitao Yang, Lijun Zhang, Jinjia Wang:
Task-Agnostic Generalized Meta-learning Based on MAML for Few-Shot Bearing Fault Diagnosis. ICIG (1) 2023: 118-129 - 2022
- [j3]Pengyu Li, Wenhao Wu, Lanxiang Liu, Fardad Michael Serry, Jinjia Wang, Hui Han:
Automatic brain tumor segmentation from Multiparametric MRI based on cascaded 3D U-Net and 3D U-Net++. Biomed. Signal Process. Control. 78: 103979 (2022) - [c9]Yali Zhang, Xiaofan Wang, Fengpin Wang, Jinjia Wang:
Image Denoising Using Convolutional Sparse Coding Network with Dry Friction. ACCV (1) 2022: 587-601 - [c8]Xiaofan Wang, Yali Zhang, Pengyu Li, Jinjia Wang:
Convolutional Sparse Coding Network Via Improved Proximal Gradient For Compressed Sensing Magnetic Resonance Imaging. BMVC 2022: 90 - [c7]Qian Wang, Pengyu Li, Jinjia Wang:
ARCSC-Net: An Approximate Residual Convolutional Sparse Coding Network For Compressed Sensing MRI. BMVC 2022: 120 - [c6]Yunsheng Xiong, Kele Xu, Meng Jiang, Liang Cheng, Yong Dou, Jinjia Wang:
Improving the Classification of Phonetic Segments from Raw Ultrasound Using Self-Supervised Learning and Hard Example Mining. ICASSP 2022: 8262-8266 - 2021
- [j2]Peng Zhang, Jianmin Ma, Menglan Duan, Ye Yuan, Jinjia Wang:
A high-precision curvature constrained Bernoulli-Euler planar beam element for geometrically nonlinear analysis. Appl. Math. Comput. 397: 125986 (2021) - [c5]Jinjia Wang, Haopan Guo, Wanli Chang, Ying Zhou, Jiarui Song, Yan Chen:
Predicting the size of the pre-expanded balloon for coronary denove lesion by deep learning. WCSP 2021: 1-5 - [c4]Ying Zhou, Haopan Guo, Jiarui Song, Yan Chen, Jinjia Wang:
Review of Vessel Segmentation and Stenosis classification in X-ray Coronary Angiography. WCSP 2021: 1-5 - 2020
- [j1]Jinjia Wang, Jing Xia, Qian Yang, Yuzhen Zhang:
Research on Semi-Supervised Sound Event Detection Based on Mean Teacher Models Using ML-LoBCoD-NET. IEEE Access 8: 38032-38044 (2020)
2000 – 2009
- 2009
- [c3]Tao Zhang, Wenxue Hong, Jinjia Wang:
A Novel Texture Analysis Method Based on Graph Spectral Theory. IIH-MSP 2009: 467-470 - 2008
- [c2]Jinjia Wang, Jing Li, Wenxue Hong:
Feature Extraction and Classification for Graphical Representations of Data. ICIC (1) 2008: 506-513 - 2007
- [c1]Jinjia Wang, Wenxue Hong, Xin Li:
The New Graphical Features of Star Plot for K Nearest Neighbor Classifier. ICIC (2) 2007: 926-933
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