Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Liu, Yunxin"'
Autor:
Ouyang, Ye, Zhang, Yaqin, Ye, Xiaozhou, Liu, Yunxin, Wang, Xidong, Sun, Jie, Liu, Yang, Wang, Shoufeng, Bian, Sen, Li, Yun
6G is the next-generation intelligent and integrated digital information infrastructure, characterized by ubiquitous interconnection, native intelligence, multi-dimensional perception, global coverage, green and low-carbon, native network security, e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9fdc648e1517e9161b82d7684e26226
Autor:
Ouyang, Ye, Zhang, Yaqin, Wang, Peng, Liu, Yunxin, Qiao, Wen, Zhu, Jun, Liu, Yang, Zhang, Feng, Wang, Shuling, Wang, Xidong
6G is the next-generation intelligent and integrated digital information infrastructure, characterized by ubiquitous interconnection, native intelligence, multi-dimensional perception, global coverage, green and low-carbon, native network security, e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8490b93d9e482fccad9ae904c186dcb9
Autor:
Wen, Hao, Li, Yuanchun, Zhang, Zunshuai, Jiang, Shiqi, Ye, Xiaozhou, Ouyang, Ye, Zhang, Ya-Qin, Liu, Yunxin
Deep learning models are increasingly deployed to edge devices for real-time applications. To ensure stable service quality across diverse edge environments, it is highly desirable to generate tailored model architectures for different conditions. Ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fad1282a9e8e87884e666b98128cefc
Autor:
Ouyang, Ye, Zhang, Yaqin, Ye, Xiaozhou, Liu, Yunxin, Song, Yong, Liu, Yang, Bian, Sen, Liu, Zhiyong
In the global craze of GPT, people have deeply realized that AI, as a transformative technology and key force in economic and social development, will bring great leaps and breakthroughs to the global industry and profoundly influence the future worl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d9d5d8d2001923851d1d99bd573f2cb
The generation of Chinese fonts has a wide range of applications. The currently predominated methods are mainly based on deep generative models, especially the generative adversarial networks (GANs). However, existing GAN-based models usually suffer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::435b1c7387782c7be1369729858d7bac
Continual learning (CL) aims to learn a sequence of tasks without forgetting the previously acquired knowledge. However, recent CL advances are restricted to supervised continual learning (SCL) scenarios. Consequently, they are not scalable to real-w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05e6ecb8000f4334498497c294ff7661
Redundant transfer of resources is a critical issue for compromising the performance of mobile Web applications (a.k.a., apps) in terms of data traffic, load time, and even energy consumption. Evidence shows that the current cache mechanisms are far
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99d33ad87169f957d634b4e6b2c765f4