Zobrazeno 1 - 10
of 278
pro vyhledávání: '"Deng Xun"'
Autor:
Deng, Xun, Liu, Junlong, Zhong, Han, Feng, Fuli, Shen, Chen, He, Xiangnan, Ye, Jieping, Wang, Zheng
Active clustering aims to boost the clustering performance by integrating human-annotated pairwise constraints through strategic querying. Conventional approaches with semi-supervised clustering schemes encounter high query costs when applied to larg
Externí odkaz:
http://arxiv.org/abs/2407.10196
Autor:
Deng, Xun, Zhong, Sicheng, Dong, Honghua, Hu, Jingyu, Beillahi, Sidi Mohamed, Si, Xujie, Long, Fan
Intermediate step methodologies like chain of thoughts (COT) have demonstrated effectiveness in enhancing the performance of Large Language Models (LLMs) on code generation. This study explores the utilization of intermediate languages, including var
Externí odkaz:
http://arxiv.org/abs/2407.05411
This paper presents OVer, a framework designed to automatically analyze the behavior of decentralized finance (DeFi) protocols when subjected to a "skewed" oracle input. OVer firstly performs symbolic analysis on the given contract and constructs a m
Externí odkaz:
http://arxiv.org/abs/2401.06044
Publikováno v:
Chinese Medical Journal, Vol 128, Iss 7, Pp 914-918 (2015)
Background: To investigate the incidence and risk factors of retinopathy of prematurity (ROP) in two Neonatal Intensive Care Units in North and South of China, respectively. Methods: We studied data concerning 472 infants with gestational age (GA)
Externí odkaz:
https://doaj.org/article/3d317d9c97154f7a9f62d7b62c4bb450
Autor:
Yang, Yating, Zhong, Yusheng, Chi, Cheng, Lin, Xiacheng, Zhu, Xuemei, Deng, Xun, Liang, Jianhong, Cheng, Yong
Publikováno v:
In Journal of Proteomics 30 October 2024 309
Publikováno v:
In Children and Youth Services Review January 2025 168
Publikováno v:
In Computers in Biology and Medicine March 2024 171
Publikováno v:
In Child Abuse & Neglect January 2024 147
While deep reinforcement learning has achieved tremendous successes in various applications, most existing works only focus on maximizing the expected value of total return and thus ignore its inherent stochasticity. Such stochasticity is also known
Externí odkaz:
http://arxiv.org/abs/2012.14098
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