Runhua Jiang

Orcid: 0000-0003-2402-8684

Affiliations:

Wenzhou University, Zhejiang, China

According to our database¹, Runhua Jiang authored at least 27 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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In proceedings

Article

PhD thesis

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Other

Bibliography

2024

Linking unknown characters via oracle bone inscriptions retrieval.

[BibT_eX]

[DOI]

Multim. Syst., June, 2024

Generalizing to Out-of-Sample Degradations via Model Reprogramming.

[BibT_eX]

[DOI]

Runhua Jiang

Yahong Han

IEEE Trans. Image Process., 2024

Parameter Competition Balancing for Model Merging.

[BibT_eX]

[DOI]

CoRR, 2024

Impacts of Darwinian Evolution on Pre-trained Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

CADE: Cosine Annealing Differential Evolution for Spiking Neural Network.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

Knowledge Fusion By Evolving Weights of Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Dynamic parameterized learning for unsupervised domain adaptation.

[BibT_eX]

[DOI]

Runhua Jiang

Yahong Han

Frontiers Inf. Technol. Electron. Eng., November, 2023

Enhancing Deep Neural Network Corruption Robustness using Evolutionary Algorithm.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2023

OraclePoints: A Hybrid Neural Representation for Oracle Character.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Uncertainty-Aware Variate Decomposition for Self-supervised Blind Image Deblurring.

[BibT_eX]

[DOI]

Runhua Jiang

Yahong Han

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

Hierarchical Feature Fusion With Mixed Convolution Attention for Single Image Dehazing.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Multi-Attention Convolutional Neural Network for Video Deblurring.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Dynamic feature learning for COVID-19 segmentation and classification.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2022

2021

Single Image Dehazing via Dual-Path Recurrent Network.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Recursive Neural Network for Video Deblurring.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2021

Robust feature learning for adversarial defense via hierarchical feature alignment.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Attention-based interpolation network for video deblurring.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Self-filtering image dehazing with self-supporting module.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Advances in Deep Learning Methods for Visual Tracking: Literature Review and Fundamentals.

[BibT_eX]

[DOI]

Int. J. Autom. Comput., 2021

Video Deblurring via Spatiotemporal Pyramid Network and Adversarial Gradient Prior.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2021

2020

Sequence-Dropout Block for Reducing Overfitting Problem in Image Classification.

[BibT_eX]

[DOI]

IEEE Access, 2020

Video Deblurring via Temporally and Spatially Variant Recurrent Neural Network.

[BibT_eX]

[DOI]

IEEE Access, 2020

Multi-level Feature Fusion Network for Single Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Structured Dictionary Learning with Block Diagonal Regularization for Image Classification.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Feature Fusion Based on Sparse Block for Image Super-resolution.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Joint Weighted Tensor Schatten p-Norm and Tensor l<sub>p</sub>-Norm Minimization for Image Denoising.

[BibT_eX]

[DOI]

IEEE Access, 2019

Single Image Dehazing via Lightweight Multi-scale Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Runhua Jiang

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