dblp: Kaijun Wu (disambiguation) (original) (raw)
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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2026
[j6]
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Kaijun Wu, Dingju Zhou
, Juanjuan Du, Yuelian Wu, Lidong Zhang:
IceSegNet: A stage-aware dynamic kernel network for river ice segmentation in remote sensing imagery. Appl. Soft Comput. 186: 114120 (2026)
- 2025
[j5]-
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Yuan Ding, Kaijun Wu, Bin Tian:
Frequency-domain information guidance: Diffusion models for the Inpainting of Dunhuang murals. Knowl. Based Syst. 314: 113188 (2025)
[j4]-
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Bin Wu, Ning Shi, Yahong Li, Kaijun Wu, Caifen Wang:
A key leakage resistant linearly homomorphic signature scheme and its application. Peer Peer Netw. Appl. 18(3): 101 (2025)
- 2024
[j3]-
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Yuan Ding, Kaijun Wu:
USIR-Net: sand-dust image restoration based on unsupervised learning. Mach. Vis. Appl. 35(3): 45 (2024)
[c16]-
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Yan Cao, Yi Zhang, Kaijun Wu, Yingjie Lin:
Controllable style transfer of ink painting textures via contrastive learning. IJCNN 2024: 1-8
[c15]-
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Yun Wei, Lulu Wang, Hongquan Shan, Kaijun Wu:
Image Inpainting Network Combining Multi-granularity Discrimination and U-transformer. IJCNN 2024: 1-8
[c14]- 2023
[c13]-
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Zhi Lin, Anjie Peng, Hui Zeng, Kaijun Wu, Wenxin Yu:
An Enhanced Neuron Attribution-Based Attack Via Pixel Dropping. ICIP 2023: 3439-3443
[c12]-
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Chenggang Li, Anjie Peng, Hui Zeng, Kaijun Wu, Wenxin Yu:
Fooling Downstream Classifiers via Attacking Contrastive Learning Pre-trained Models. ICONIP (12) 2023: 235-245
[c11]-
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Anjie Peng, Kang Deng, Hui Zeng, Kaijun Wu, Wenxin Yu:
Detecting Adversarial Examples via Classification Difference of a Robust Surrogate Model. ICONIP (12) 2023: 558-570
[c10]- 2022
[c9]- 2021
[j2]
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Yiming Liu, Qi Zeng, Yue Zhao, Kaijun Wu, Yao Hao:
Novel channel-hopping pattern-based wireless IoT networks in smart cities for reducing multi-access interference and jamming attacks. EURASIP J. Wirel. Commun. Netw. 2021(1): 152 (2021)
[j1]-
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Hao Fan, Kaijun Wu, Hamid Parvin, Akram Beigi, Kim-Hung Pho:
A Hybrid Recommender System Using KNN and Clustering. Int. J. Inf. Technol. Decis. Mak. 20(2): 553-596 (2021)
[c8]-
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Yuxiang Chen, Yao Hao, Zhongqiang Yi, Kaijun Wu, Qi Zhao, Xue Wang:
Searchable Encryption System for Big Data Storage. ICPCSEE (2) 2021: 139-150
[c7]-
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Yuxiang Chen, Yao Hao, Kaijun Wu, Zhongqiang Yi, Haiyang Peng, Sijie Liao:
Research on Data Security of Unmanned Aerial Vehicles. NaNA 2021: 186-193
[c6]-
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Yue Zhao, Yarang Yang, Yiru Niu, Dongyu Yang, Bo Tian, Yao Hao, Kaijun Wu:
The Cooperative Authentication Mechanism and Performance Evaluation for Unmanned Systems. NaNA 2021: 212-216
[c5]-
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Kaijun Wu, Wanli Dong, Yunfei Cao, Xue Wang, Qi Zhao:
An Improved Method of Median Filtering Forensics for Enhanced Image Security Detection. NaNA 2021: 308-312
[c4]-
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Dongyu Yang, Yue Zhao, Kaijun Wu, Xiaoyu Guo, Haiyang Peng:
An efficient authentication scheme based on Zero Trust for UAV swarm. NaNA 2021: 356-360
[c3]- 2020
[c2]-
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Kaijun Wu, Anjie Peng, Yao Hao, Qi Zhao:
Adversarial Examples Detection Using Random Projections of Residuals. NaNA 2020: 282-285
[c1]
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