Jinjia Wang

According to our database, Jinjia Wang authored at least 20 papers between 2007 and 2024.

Collaborative distances:

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

2024

A novel mooring system anomaly detection framework for SEMI based on improved residual network with attention mechanism and feature fusion.

Yixuan Mao, Xiaorong Li, Menglan Duan, Yongcun Feng, Jinjia Wang, Hongyuan Men, Heng Yang

Reliab. Eng. Syst. Saf., 2024

Automatic calculation of step size and inertia parameter for convolutional dictionary learning.

Jinjia Wang, Pengyu Li, Yali Zhang, Ze Li, Jingchen Xu, Qian Wang, Jing Li

Pattern Recognit., 2024

Unified feature learning network for few-shot fault diagnosis.

Yan Xu, Xinyao Ma, Xuan Wang, Jinjia Wang, Gang Tang, Zhong Ji

Neurocomputing, 2024

Inertial Algorithm with Dry Fraction and Convolutional Sparse Coding for 3D Localization with Light Field Microscopy.

Xiaofan Wang, Zhiyuan Deng, Changle Wang, Jinjia Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Iterative shrinkage-thresholding algorithm with inertia and dry friction for convolutional dictionary learning.

Pengyu Li, Yali Zhang, Ze Li, Jinjia Wang

Digit. Signal Process., August, 2023

Proximal gradient nonconvex optimization algorithm for the slice-based ℓ0-constrained convolutional dictionary learning.

Jing Li, Xiao Wei, Qiuhui Li, Yali Zhang, Ze Li, Jin Li, Jinjia Wang

Knowl. Based Syst., 2023

Task-Agnostic Generalized Meta-learning Based on MAML for Few-Shot Bearing Fault Diagnosis.

Xitao Yang, Lijun Zhang, Jinjia Wang

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

Image Fusion Via Slice-Based Convolutional Sparse Representation.

Jingchen Xu, Yali Zhang, Ze Li, Jinjia Wang

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Automatic brain tumor segmentation from Multiparametric MRI based on cascaded 3D U-Net and 3D U-Net++.

Pengyu Li, Wenhao Wu, Lanxiang Liu, Fardad Michael Serry, Jinjia Wang, Hui Han

Biomed. Signal Process. Control., 2022

Improving the Classification of Phonetic Segments from Raw Ultrasound Using Self-Supervised Learning and Hard Example Mining.

Yunsheng Xiong, Kele Xu, Meng Jiang, Liang Cheng, Yong Dou, Jinjia Wang

Proceedings of the IEEE International Conference on Acoustics, 2022

Convolutional Sparse Coding Network Via Improved Proximal Gradient For Compressed Sensing Magnetic Resonance Imaging.

Xiaofan Wang, Yali Zhang, Pengyu Li, Jinjia Wang

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

ARCSC-Net: An Approximate Residual Convolutional Sparse Coding Network For Compressed Sensing MRI.

Qian Wang, Pengyu Li, Jinjia Wang

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Image Denoising Using Convolutional Sparse Coding Network with Dry Friction.

Yali Zhang, Xiaofan Wang, Fengpin Wang, Jinjia Wang

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

A high-precision curvature constrained Bernoulli-Euler planar beam element for geometrically nonlinear analysis.

Peng Zhang, Jianmin Ma, Menglan Duan, Ye Yuan, Jinjia Wang

Appl. Math. Comput., 2021

Review of Vessel Segmentation and Stenosis classification in X-ray Coronary Angiography.

Ying Zhou, Haopan Guo, Jiarui Song, Yan Chen, Jinjia Wang

Proceedings of the 13th International Conference on Wireless Communications and Signal Processing, 2021

Predicting the size of the pre-expanded balloon for coronary denove lesion by deep learning.

Jinjia Wang, Haopan Guo, Wanli Chang, Ying Zhou, Jiarui Song, Yan Chen

Proceedings of the 13th International Conference on Wireless Communications and Signal Processing, 2021

2020

Research on Semi-Supervised Sound Event Detection Based on Mean Teacher Models Using ML-LoBCoD-NET.

Jinjia Wang, Jing Xia, Qian Yang, Yuzhen Zhang

IEEE Access, 2020

2009

A Novel Texture Analysis Method Based on Graph Spectral Theory.

Tao Zhang, Wenxue Hong, Jinjia Wang

Proceedings of the Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2009), 2009

2008

Feature Extraction and Classification for Graphical Representations of Data.

Jinjia Wang, Jing Li, Wenxue Hong

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2008

2007

The New Graphical Features of Star Plot for K Nearest Neighbor Classifier.

Jinjia Wang, Wenxue Hong, Xin Li

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007