Zobrazeno 1 - 10
of 1 360
pro vyhledávání: '"HE, Yuanyuan"'
The surging development of Artificial Intelligence-Generated Content (AIGC) marks a transformative era of the content creation and production. Edge servers promise attractive benefits, e.g., reduced service delay and backhaul traffic load, for hostin
Externí odkaz:
http://arxiv.org/abs/2409.05303
Neural networks (NN) classification models for Natural Language Processing (NLP) are vulnerable to the Universal Adversarial Triggers (UAT) attack that triggers a model to produce a specific prediction for any input. DARCY borrows the "honeypot" conc
Externí odkaz:
http://arxiv.org/abs/2409.03183
Autor:
Song, Shaotang, Teng, Yu, Tang, Weichen, Xu, Zhen, He, Yuanyuan, Ruan, Jiawei, Kojima, Takahiro, Hu, Wenping, Giessibl, Franz J, Sakaguchi, Hiroshi, Louie, Steven G, Lu, Jiong
Topological design of pi-electrons in zigzag-edged graphene nanoribbons (ZGNRs) leads to a wealth of magnetic quantum phenomena and exotic quantum phases. Symmetric ZGNRs typically exhibit antiferromagnetically coupled spin-ordered edge states. Elimi
Externí odkaz:
http://arxiv.org/abs/2406.05608
Autor:
Lawrence, James, He, Yuanyuan, Wei, Haipeng, Su, Jie, Song, Shaotang, Rodrigues, Alina Wania, Miravet, Daniel, Hawrylak, Pawel, Zhao, Jianwei, Wu, Jishan, Lu, Jiong
The atomic doping of open-shell nanographenes enables the precise tuning of their electronic and magnetic state, which is crucial for their promising potential applications in optoelectronics and spintronics. Among this intriguing class of molecules,
Externí odkaz:
http://arxiv.org/abs/2307.00762
Autor:
Hu, Shengshan, Zhou, Ziqi, Zhang, Yechao, Zhang, Leo Yu, Zheng, Yifeng, HE, Yuanyuan, Jin, Hai
Due to its powerful feature learning capability and high efficiency, deep hashing has achieved great success in large-scale image retrieval. Meanwhile, extensive works have demonstrated that deep neural networks (DNNs) are susceptible to adversarial
Externí odkaz:
http://arxiv.org/abs/2207.00278
Federated learning (FL) enables multiple clients to collaboratively train an accurate global model while protecting clients' data privacy. However, FL is susceptible to Byzantine attacks from malicious participants. Although the problem has gained si
Externí odkaz:
http://arxiv.org/abs/2204.13256
Autor:
Gong, Linxian, Zhu, Shuyue, Cao, Ruihao, Jin, Yi, Liu, Lin, Hu, Zhazha, Xu, Yan, He, Yuanyuan, Hao, Tingchen
Publikováno v:
In Catena December 2024 247
Publikováno v:
In Microchemical Journal December 2024 207
Autor:
Xu, Yiku, Liu, Siyi, Chang, Jinrui, He, Yuanyuan, Liu, Siyuan, Hua, Rimin, Zou, Jiayuan, Zhao, Qinyang, Chen, Yongnan
Publikováno v:
In Intermetallics October 2024 173
Autor:
Shao, Shengyu, Liu, Xingting, Wang, Renshu, He, Yuanyuan, Bian, Changhao, Sun, Pengfei, Dong, Xiaoping
Publikováno v:
In Applied Surface Science 1 October 2024 669