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ORCIDRunhua Jiang
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- affiliation: Wenzhou University, Zhejiang, China
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2020 – today
- 2024
[j16]Feng Gao, Xu Chen, Bang Li, Yongge Liu, Runhua Jiang, Yahong Han:
Linking unknown characters via oracle bone inscriptions retrieval. Multim. Syst. 30(3): 125 (2024)- [j15]Runhua Jiang
, Yahong Han:
Generalizing to Out-of-Sample Degradations via Model Reprogramming. IEEE Trans. Image Process. 33: 2783-2794 (2024) - [c9]Guodong Du, Jing Li, Hanting Liu, Runhua Jiang, Shuyang Yu, Yifei Guo, Sim Kuan Goh, Ho-Kin Tang:
Knowledge Fusion By Evolving Weights of Language Models. ACL (Findings) 2024: 11727-11742 - [c8]Runhua Jiang, Guodong Du, Shuyang Yu, Yifei Guo, Sim Kuan Goh, Ho-Kin Tang:
CADE: Cosine Annealing Differential Evolution for Spiking Neural Network. IJCNN 2024: 1-8 - [i5]Runhua Jiang, Yahong Han:
Generalizing to Out-of-Sample Degradations via Model Reprogramming. CoRR abs/2403.05886 (2024) - [i4]Runhua Jiang, Guodong Du, Shuyang Yu, Yifei Guo, Sim Kuan Goh, Ho-Kin Tang:
CADE: Cosine Annealing Differential Evolution for Spiking Neural Network. CoRR abs/2406.02349 (2024) - [i3]Guodong Du, Jing Li, Hanting Liu, Runhua Jiang, Shuyang Yu, Yifei Guo, Sim Kuan Goh, Ho-Kin Tang:
Knowledge Fusion By Evolving Weights of Language Models. CoRR abs/2406.12208 (2024) - [i2]Guodong Du, Runhua Jiang, Senqiao Yang, HaoYang Li, Wei Chen, Keren Li, Sim Kuan Goh, Ho-Kin Tang:
Impacts of Darwinian Evolution on Pre-trained Deep Neural Networks. CoRR abs/2408.05563 (2024) - [i1]Guodong Du, Junlin Lee, Jing Li, Runhua Jiang, Yifei Guo, Shuyang Yu, Hanting Liu, Sim Kuan Goh, Ho-Kin Tang, Daojing He, Min Zhang:
Parameter Competition Balancing for Model Merging. CoRR abs/2410.02396 (2024) - 2023
- [j14]Runhua Jiang, Yahong Han:
Dynamic parameterized learning for unsupervised domain adaptation. Frontiers Inf. Technol. Electron. Eng. 24(11): 1616-1632 (2023) - [c7]Runhua Jiang, Yahong Han:
Uncertainty-Aware Variate Decomposition for Self-supervised Blind Image Deblurring. ACM Multimedia 2023: 252-260 - [c6]Runhua Jiang, Yongge Liu, Boyuan Zhang, Xu Chen, Deng Li, Yahong Han:
OraclePoints: A Hybrid Neural Representation for Oracle Character. ACM Multimedia 2023: 7901-7911 - [c5]Runhua Jiang, Senqiao Yang, HaoYang Li, Han Wang, Ho-Kin Tang, Sim Kuan Goh:
Enhancing Deep Neural Network Corruption Robustness using Evolutionary Algorithm. CIS-RAM 2023: 55-60 - 2022
- [j13]Xiaoqin Zhang, Runhua Jiang, Pengcheng Huang, Tao Wang, Mingjun Hu, Andrew F. Scarsbrook, Alejandro F. Frangi:
Dynamic feature learning for COVID-19 segmentation and classification. Comput. Biol. Medicine 150: 106136 (2022) - [j12]Xiaoqin Zhang, Jinxin Wang, Tao Wang, Runhua Jiang:
Hierarchical Feature Fusion With Mixed Convolution Attention for Single Image Dehazing. IEEE Trans. Circuits Syst. Video Technol. 32(2): 510-522 (2022) - [j11]Xiaoqin Zhang, Tao Wang, Runhua Jiang, Li Zhao, Yuewang Xu:
Multi-Attention Convolutional Neural Network for Video Deblurring. IEEE Trans. Circuits Syst. Video Technol. 32(4): 1986-1997 (2022) - 2021
- [j10]Tao Wang, Xiaoqin Zhang, Runhua Jiang, Li Zhao, Huiling Chen, Wenhan Luo:
Video Deblurring via Spatiotemporal Pyramid Network and Adversarial Gradient Prior. Comput. Vis. Image Underst. 203: 103135 (2021) - [j9]Xiaoqin Zhang, Runhua Jiang, Chen-Xiang Fan, Tian-Yu Tong, Tao Wang, Pengcheng Huang:
Advances in Deep Learning Methods for Visual Tracking: Literature Review and Fundamentals. Int. J. Autom. Comput. 18(3): 311-333 (2021) - [j8]Pengcheng Huang, Li Zhao, Runhua Jiang, Tao Wang, Xiaoqin Zhang:
Self-filtering image dehazing with self-supporting module. Neurocomputing 432: 57-69 (2021) - [j7]Xiaoqin Zhang, Runhua Jiang, Tao Wang, Pengcheng Huang, Li Zhao:
Attention-based interpolation network for video deblurring. Neurocomputing 453: 865-875 (2021) - [j6]Xiaoqin Zhang, Jinxin Wang, Tao Wang, Runhua Jiang, Jiawei Xu, Li Zhao:
Robust feature learning for adversarial defense via hierarchical feature alignment. Inf. Sci. 560: 256-270 (2021) - [j5]Xiaoqin Zhang, Runhua Jiang, Tao Wang, Jinxin Wang:
Recursive Neural Network for Video Deblurring. IEEE Trans. Circuits Syst. Video Technol. 31(8): 3025-3036 (2021) - [j4]Xiaoqin Zhang, Runhua Jiang, Tao Wang, Wenhan Luo:
Single Image Dehazing via Dual-Path Recurrent Network. IEEE Trans. Image Process. 30: 5211-5222 (2021) - 2020
- [j3]Runhua Jiang, Li Zhao, Tao Wang, Jinxin Wang, Xiaoqin Zhang:
Video Deblurring via Temporally and Spatially Variant Recurrent Neural Network. IEEE Access 8: 7587-7597 (2020) - [j2]Ledan Qian, Libing Hu, Li Zhao, Tao Wang, Runhua Jiang:
Sequence-Dropout Block for Reducing Overfitting Problem in Image Classification. IEEE Access 8: 62830-62840 (2020) - [c4]Manman Xu, Runhua Jiang, Tao Wang, Di Wang, Xiaoju Lu:
Structured Dictionary Learning with Block Diagonal Regularization for Image Classification. IEEE BigData 2020: 1416-1423 - [c3]Shengping Wang, Li Zhao, Runhua Jiang, Pengcheng Huang, Jiawei Xu:
Feature Fusion Based on Sparse Block for Image Super-resolution. IEEE BigData 2020: 3347-3354 - [c2]Xinxia Zhang, Xiaoqin Zhang, Li Zhao, Runhua Jiang, Pengcheng Huang, Jiawei Xu:
Multi-level Feature Fusion Network for Single Image Super-Resolution. IEEE BigData 2020: 3361-3368
2010 – 2019
- 2019
- [j1]Xiaoqin Zhang, Jingjing Zheng, Yufang Yan, Li Zhao, Runhua Jiang:
Joint Weighted Tensor Schatten p-Norm and Tensor lp-Norm Minimization for Image Denoising. IEEE Access 7: 20273-20280 (2019) - [c1]Guiying Tang, Li Zhao, Runhua Jiang, Xiaoqin Zhang:
Single Image Dehazing via Lightweight Multi-scale Networks. IEEE BigData 2019: 5062-5069
Coauthor Index
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last updated on 2024-11-15 19:33 CET by the dblp team
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