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of 57
pro vyhledávání: '"Jiang, Jinzhe"'
As Large Language Models make a breakthrough in natural language processing tasks (NLP), multimodal technique becomes extremely popular. However, it has been shown that multimodal NLP are vulnerable to adversarial attacks, where the outputs of a mode
Externí odkaz:
http://arxiv.org/abs/2402.03627
Recently, the robustness of deep learning models has received widespread attention, and various methods for improving model robustness have been proposed, including adversarial training, model architecture modification, design of loss functions, cert
Externí odkaz:
http://arxiv.org/abs/2303.12363
Publikováno v:
In Information Fusion February 2025 114
Autor:
Li, Chen, Jiang, Jinzhe, Zhang, Xin, Zhang, Tonghuan, Zhao, Yaqian, Jiang, Dongdong, Li, RenGang
Interpreting how does deep neural networks (DNNs) make predictions is a vital field in artificial intelligence, which hinders wide applications of DNNs. Visualization of learned representations helps we humans understand the vision of DNNs. In this w
Externí odkaz:
http://arxiv.org/abs/2106.09982
Hyperparameter optimization is a challenging problem in developing deep neural networks. Decision of transfer layers and trainable layers is a major task for design of the transfer convolutional neural networks (CNN). Conventional transfer CNN models
Externí odkaz:
http://arxiv.org/abs/2103.03875
Generalization is an important feature of neural network, and there have been many studies on it. Recently, with the development of quantum compu-ting, it brings new opportunities. In this paper, we studied a class of quantum neural network construct
Externí odkaz:
http://arxiv.org/abs/2006.02388
Akademický článek
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Publikováno v:
In Materials Characterization December 2023 206 Part A
Publikováno v:
In Pattern Recognition July 2023 139
Autor:
Jiang, Jinzhe1,2 (AUTHOR), Zhao, Yaqian1,2 (AUTHOR), Li, Rengang1,2 (AUTHOR), Li, Chen1,2 (AUTHOR), Guo, Zhenhua1,2 (AUTHOR), Fan, Baoyu1,2 (AUTHOR), Li, Xuelei1,2 (AUTHOR), Li, Ruyang1,2 (AUTHOR), Zhang, Xin1,2 (AUTHOR) xzphys@gmail.com
Publikováno v:
Quantum Information Processing. Dec2023, Vol. 22 Issue 12, p1-12. 12p.