The New Graphical Features of Star Plot for K Nearest Neighbor Classifier. - Jinjia Wang; Wenxue Hong; Xin Li (ICIC (2), 2007)

Feature Extraction and Classification for Graphical Representations of Data. - Jinjia Wang; Jing Li 120; Wenxue Hong (ICIC (1), 2008)

A Novel Texture Analysis Method Based on Graph Spectral Theory. - Tao Zhang 028; Wenxue Hong; Jinjia Wang (IIH-MSP, 2009)

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)

Predicting the size of the pre-expanded balloon for coronary denove lesion by deep learning. - Jinjia Wang; Haopan Guo; Wanli Chang 004; Ying Zhou; Jiarui Song; Yan Chen (WCSP, 2021)

Review of Vessel Segmentation and Stenosis classification in X-ray Coronary Angiography. - Ying Zhou; Haopan Guo; Jiarui Song; Yan Chen; Jinjia Wang (WCSP, 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)

Image Denoising Using Convolutional Sparse Coding Network with Dry Friction. - Yali Zhang; Xiaofan Wang; Fengpin Wang; Jinjia Wang (ACCV (1), 2022)

ARCSC-Net: An Approximate Residual Convolutional Sparse Coding Network For Compressed Sensing MRI. - Qian Wang; Pengyu Li; Jinjia Wang (BMVC, 2022)

Convolutional Sparse Coding Network Via Improved Proximal Gradient For Compressed Sensing Magnetic Resonance Imaging. - Xiaofan Wang; Yali Zhang; Pengyu Li; Jinjia Wang (BMVC, 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 (ICASSP, 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)

Image Fusion Via Slice-Based Convolutional Sparse Representation. - Jingchen Xu; Yali Zhang; Ze Li; Jinjia Wang (ICASSP, 2023)

Task-Agnostic Generalized Meta-learning Based on MAML for Few-Shot Bearing Fault Diagnosis. - Xitao Yang; Lijun Zhang; Jinjia Wang (ICIG (1), 2023)

Proximal gradient nonconvex optimization algorithm for the slice-based ℓ0-constrained convolutional dictionary learning. - Jing Li 120; Xiao Wei; Qiuhui Li; Yali Zhang; Ze Li; Jin Li; Jinjia Wang (Knowl. Based Syst., 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., 2023)

Inertial Algorithm with Dry Fraction and Convolutional Sparse Coding for 3D Localization with Light Field Microscopy. - Xiaofan Wang; Zhiyuan Deng; Changle Wang; Jinjia Wang (AAAI, 2024)

Multi-scale Separable Convolution and Dilated Attention for Machinery Fault Diagnosis. - Lijun Zhang; Dong Qiu; Peng Cui; Jinjia Wang (ICSR + InnoBiz, 2024)

Unified feature learning network for few-shot fault diagnosis. - Yan Xu; Xinyao Ma; Xuan Wang 016; Jinjia Wang; Gang Tang; Zhong Ji (Neurocomputing, 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 120 (Pattern Recognit., 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)

3D localization for light-field microscopy via convergent accelerated inertial algorithm. - Jinjia Wang; Shixue Chen; Xiaofan Wang; Zhiyuan Deng; Changle Wang; Jing Li 120 (Expert Syst. Appl., 2025)