Zobrazeno 1 - 10
of 364
pro vyhledávání: '"Zhang, Dalong"'
Autor:
Rao, Chen, Li, Guangyuan, Lan, Zehua, Sun, Jiakai, Luan, Junsheng, Xing, Wei, Zhao, Lei, Lin, Huaizhong, Dong, Jianfeng, Zhang, Dalong
Current video deblurring methods have limitations in recovering high-frequency information since the regression losses are conservative with high-frequency details. Since Diffusion Models (DMs) have strong capabilities in generating high-frequency de
Externí odkaz:
http://arxiv.org/abs/2408.13459
Identity authentication is crucial for ensuring the information security of wireless communication. Radio frequency (RF) fingerprinting techniques provide a prom-ising supplement to cryptography-based authentication approaches but rely on dedicated e
Externí odkaz:
http://arxiv.org/abs/2408.06848
While smartphones and WiFi networks are bringing many positive changes to people's lives, they are susceptible to traffic analysis attacks, which infer user's private information from encrypted traffic. Existing traffic analysis attacks mainly target
Externí odkaz:
http://arxiv.org/abs/2408.07263
Autor:
Zhang, Zhanjie, Zhang, Quanwei, Lin, Huaizhong, Xing, Wei, Mo, Juncheng, Huang, Shuaicheng, Xie, Jinheng, Li, Guangyuan, Luan, Junsheng, Zhao, Lei, Zhang, Dalong, Chen, Lixia
Artistic style transfer aims to transfer the learned artistic style onto an arbitrary content image, generating artistic stylized images. Existing generative adversarial network-based methods fail to generate highly realistic stylized images and alwa
Externí odkaz:
http://arxiv.org/abs/2404.11474
Autor:
Xiao, Youshao, Ju, Lin, Zhou, Zhenglei, Li, Siyuan, Huan, Zhaoxin, Zhang, Dalong, Jiang, Rujie, Wang, Lin, Zhang, Xiaolu, Liang, Lei, Zhou, Jun
Many distributed training techniques like Parameter Server and AllReduce have been proposed to take advantage of the increasingly large data and rich features. However, stragglers frequently occur in distributed training due to resource contention an
Externí odkaz:
http://arxiv.org/abs/2404.09679
Autor:
Zhang, Dalong, Song, Xianzheng, Hu, Zhiyang, Li, Yang, Tao, Miao, Hu, Binbin, Wang, Lin, Zhang, Zhiqiang, Zhou, Jun
GNN inference is a non-trivial task, especially in industrial scenarios with giant graphs, given three main challenges, i.e., scalability tailored for full-graph inference on huge graphs, inconsistency caused by stochastic acceleration strategies (e.
Externí odkaz:
http://arxiv.org/abs/2307.00228
Autor:
Sun, Yue, Zhou, Dezheng, Wang, Yue, Wang, Zehao, Zhang, Dalong, Qian, Zhiyong, Yan, Jing, Li, Zhenshu, Huang, Guowei, Li, Wen
Publikováno v:
In Experimental Gerontology September 2024 194
Autor:
Zhang, Dalong, Yang, Huihua, Chen, Xiaolu, Li, Yan, Li, Yunzhou, Liu, Hongye, Wu, Xulin, Wei, Min
Publikováno v:
In Horticultural Plant Journal September 2024 10(5):1165-1176
Autor:
Wang, Xiang, Zhang, Dalong, Darsell, Jens T., Ross, Kenneth A., Ma, Xiaolong, Liu, Jia, Liu, Tingkun, Prabhakaran, Ramprashad, Li, Lan, Anderson, Iver E., Setyawan, Wahyu
Publikováno v:
In Journal of Nuclear Materials 1 August 2024 596
Publikováno v:
In Regulatory Toxicology and Pharmacology June 2024 150