Zobrazeno 1 - 10
of 216
pro vyhledávání: '"Wu, Yingjun"'
Autor:
Lu, Yao, Bian, Song, Chen, Lequn, He, Yongjun, Hui, Yulong, Lentz, Matthew, Li, Beibin, Liu, Fei, Li, Jialin, Liu, Qi, Liu, Rui, Liu, Xiaoxuan, Ma, Lin, Rong, Kexin, Wang, Jianguo, Wu, Yingjun, Wu, Yongji, Zhang, Huanchen, Zhang, Minjia, Zhang, Qizhen, Zhou, Tianyi, Zhuo, Danyang
In this paper, we investigate the intersection of large generative AI models and cloud-native computing architectures. Recent large models such as ChatGPT, while revolutionary in their capabilities, face challenges like escalating costs and demand fo
Externí odkaz:
http://arxiv.org/abs/2401.12230
Autor:
Wu, Yingjun, Shao, Junjie, Yin, Zhengxi, Zhao, Xiang, Yuan, Jiangfan, Chen, Zhaorui, Chen, Xuejie, Chen, Runrun
Publikováno v:
In Electric Power Systems Research January 2025 238
Publikováno v:
In Electric Power Systems Research January 2025 238
Publikováno v:
In Journal of Environmental Sciences January 2025 147:62-73
As the confidentiality and scalability of smart contracts have become a crucial demand of blockchains, off-chain contract execution frameworks have been promising. Some have recently expanded off-chain contracts to Multi-Party Computation (MPC), whic
Externí odkaz:
http://arxiv.org/abs/2202.10206
Autor:
Wu, Yingjun, Chen, Runrun, Lin, Zhiwei, Chen, Yuyang, Chen, Zhaorui, Chen, Xuejie, Yuan, Jiangfan
Publikováno v:
In Journal of Energy Storage 1 August 2024 95
In recent years, the confidentiality of smart contracts has become a fundamental requirement for practical applications. While many efforts have been made to develop architectural capabilities for enforcing confidential smart contracts, a few works a
Externí odkaz:
http://arxiv.org/abs/2106.13926
Autor:
Wang, Qing1 (AUTHOR) wangq577@mail.sysu.edu.cn, Wu, Yingjun1 (AUTHOR), Zhang, Yilin2 (AUTHOR)
Publikováno v:
Economic & Political Studies. Jul2024, p1-23. 23p. 1 Illustration.
Autor:
Wang, Congqing, Wang, Wanjun, Wang, Chao, Ren, Shixing, Wu, Yingjun, Wen, Meicheng, Li, Guiying, An, Taicheng
Publikováno v:
In Journal of Environmental Sciences March 2025 149:688-698
Data stream processing systems (DSPSs) enable users to express and run stream applications to continuously process data streams. To achieve real-time data analytics, recent researches keep focusing on optimizing the system latency and throughput. Wit
Externí odkaz:
http://arxiv.org/abs/2001.05667