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Yaojun Hao
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2020 – today
- 2024
- [j7]Liping Feng, Kepeng Wu, Ziyi Pei, Tengfei Weng, Qi Han, Lun Meng, Xin Qian, Hongxiang Xu, Zicheng Qiu, Zhong Li, Yuan Tian, Guanzhong Liang, Yaojun Hao:
MLU-Net: A Multi-Level Lightweight U-Net for Medical Image Segmentation Integrating Frequency Representation and MLP-Based Methods. IEEE Access 12: 20734-20751 (2024) - [j6]Yaojun Hao, Haotian Wang, Qingshan Zhao, Liping Feng, Jian Wang:
Detecting the adversarially-learned injection attacks via knowledge graphs. Inf. Syst. 125: 102419 (2024) - 2023
- [j5]Yaojun Hao, Guoyan Meng, Jian Wang, Chun-mei Zong:
A detection method for hybrid attacks in recommender systems. Inf. Syst. 114: 102154 (2023) - 2021
- [j4]Yaojun Hao, Fuzhi Zhang:
An unsupervised detection method for shilling attacks based on deep learning and community detection. Soft Comput. 25(1): 477-494 (2021)
2010 – 2019
- 2019
- [j3]Yaojun Hao, Fuzhi Zhang, Jian Wang, Qingshan Zhao, Jianfang Cao:
Detecting Shilling Attacks with Automatic Features from Multiple Views. Secur. Commun. Networks 2019: 6523183:1-6523183:13 (2019) - 2018
- [j2]Yaojun Hao, Fuzhi Zhang:
Detecting shilling profiles in collaborative recommender systems via multidimensional profile temporal features. IET Inf. Secur. 12(4): 362-374 (2018) - [j1]Yaojun Hao, Peng Zhang, Fuzhi Zhang:
Multiview Ensemble Method for Detecting Shilling Attacks in Collaborative Recommender Systems. Secur. Commun. Networks 2018: 8174603:1-8174603:33 (2018)
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last updated on 2024-08-23 18:32 CEST by the dblp team
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