Jianjia Zhang

Orcid: 0000-0003-1794-7703

According to our database1, Jianjia Zhang authored at least 39 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Adaptive and Iterative Learning With Multi-Perspective Regularizations for Metal Artifact Reduction.
IEEE Trans. Medical Imaging, September, 2024

Wavelet-Improved Score-Based Generative Model for Medical Imaging.
IEEE Trans. Medical Imaging, March, 2024

A Viewpoint Adaptation Ensemble Contrastive Learning framework for vessel type recognition with limited data.
Expert Syst. Appl., March, 2024

Two-and-a-half order score-based model for solving 3D ill-posed inverse problems.
Comput. Biol. Medicine, January, 2024

CL-TransFER: Collaborative learning based transformer for facial expression recognition with masked reconstruction.
Pattern Recognit., 2024

Source-free domain adaptation via dynamic pseudo labeling and Self-supervision.
Pattern Recognit., 2024

Comparative evaluation of interpretation methods in surface-based age prediction for neonates.
NeuroImage, 2024

Constructing hierarchical attentive functional brain networks for early AD diagnosis.
Medical Image Anal., 2024

Knowledge-based Dual External Attention Network for peptide detectability prediction.
Knowl. Based Syst., 2024

FeatWalk: Enhancing Few-Shot Classification through Local View Leveraging.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Kernel-based feature aggregation framework in point cloud networks.
Pattern Recognit., July, 2023

A cost-sensitive attention temporal convolutional network based on adaptive top-k differential evolution for imbalanced time-series classification.
Expert Syst. Appl., March, 2023

Flat-Panel Addressable Cold-Cathode X-Ray Source-Based Stationary CT Architecture.
IEEE Trans. Instrum. Meas., 2023

Dataset-Driven Unsupervised Object Discovery for Region-Based Instance Image Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Learning Asynchronous Common and Individual Functional Brain Network for AD Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Multi-perspective Adaptive Iteration Network for Metal Artifact Reduction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Full Image-Index Remainder Based Single Low-Dose DR/CT Self-supervised Denoising.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Diffusion Kernel Attention Network for Brain Disorder Classification.
IEEE Trans. Medical Imaging, 2022

Instance Image Retrieval by Learning Purely From Within the Dataset.
CoRR, 2022

Spectral CT reconstruction via Spectral-Image Tensor and Bidirectional Image-gradient minimization.
Comput. Biol. Medicine, 2022

2021
Beyond Covariance: SICE and Kernel Based Visual Feature Representation.
Int. J. Comput. Vis., 2021

2020
Inter-Vehicle Distance Estimation Method Based on Monocular Vision Using 3D Detection.
IEEE Trans. Veh. Technol., 2020

Triple-view Convolutional Neural Networks for COVID-19 Diagnosis with Chest X-ray.
CoRR, 2020

10Gb/s Two-User Spatial Diversity FSO-CDMA Wiretap Channel Based on Reconfigurable Optical Encoder/Decoders.
IEEE Access, 2020

Correlation-Aware Next Basket Recommendation Using Graph Attention Networks.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2018
Corrosion Prediction on Sewer Networks with Sparse Monitoring Sites: A Case Study.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Instance Image Retrieval by Aggregating Sample-based Discriminative Characteristics.
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

2017
HEp-2 Cell Image Classification With Deep Convolutional Neural Networks.
IEEE J. Biomed. Health Informatics, 2017

Subject-adaptive Integration of Multiple SICE Brain Networks with Different Sparsity.
Pattern Recognit., 2017

Revisiting Metric Learning for SPD Matrix Based Visual Representation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Unsupervised Matrix-valued Kernel Learning For One Class Classification.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Learning Discriminative Stein Kernel for SPD Matrices and Its Applications.
IEEE Trans. Neural Networks Learn. Syst., 2016

Exploiting Structure Sparsity for Covariance-based Visual Representation.
CoRR, 2016

2015
Functional Brain Network Classification With Compact Representation of SICE Matrices.
IEEE Trans. Biomed. Eng., 2015

Beyond Covariance: Feature Representation with Nonlinear Kernel Matrices.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Exploring Compact Representation of SICE Matrices for Functional Brain Network Classification.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

HEp-2 Cell Image Classification with Convolutional Neural Networks.
Proceedings of the 1st Workshop on Pattern Recognition Techniques for Indirect Immunofluorescence Images, 2014

2013
Accelerating the Divisive Information-Theoretic Clustering of Visual Words.
Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013

A Fast Approximate AIB Algorithm for Distributional Word Clustering.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013


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