Zobrazeno 1 - 10
of 2 720
pro vyhledávání: '"Cao, Zheng"'
URLs play a crucial role in understanding and categorizing web content, particularly in tasks related to security control and online recommendations. While pre-trained models are currently dominating various fields, the domain of URL analysis still l
Externí odkaz:
http://arxiv.org/abs/2402.11495
Astigmatic unitary transformations allow for the adiabatic connections of all feasible states of paraxial Gaussian beams on the same modal sphere, i.e., Hermite-Laguerre-Gaussian (HLG) modes. Here, we present a comprehensive investigation into the un
Externí odkaz:
http://arxiv.org/abs/2402.02153
Autor:
Qian, Peng, Wu, Hanjie, Du, Zeren, Vural, Turan, Rong, Dazhong, Cao, Zheng, Zhang, Lun, Wang, Yanbin, Chen, Jianhai, He, Qinming
As blockchain smart contracts become more widespread and carry more valuable digital assets, they become an increasingly attractive target for attackers. Over the past few years, smart contracts have been subject to a plethora of devastating attacks,
Externí odkaz:
http://arxiv.org/abs/2312.04512
The widespread use of the Internet has revolutionized information retrieval methods. However, this transformation has also given rise to a significant cybersecurity challenge: the rapid proliferation of malicious URLs, which serve as entry points for
Externí odkaz:
http://arxiv.org/abs/2311.12372
Autor:
Cao, Zheng, Chen, Lie-Wen
Neutron stars (NSs) which could contain exotic degrees of freedom in the core and the self-bound quark stars (QSs) made purely of absolutely stable deconfined quark matter are still two main candidates for the compact objects observed in pulsars and
Externí odkaz:
http://arxiv.org/abs/2308.16783
This paper introduced key aspects of applying Machine Learning (ML) models, improved trading strategies, and the Quasi-Reversibility Method (QRM) to optimize stock option forecasting and trading results. It presented the findings of the follow-up pro
Externí odkaz:
http://arxiv.org/abs/2211.15912
Autor:
Dai, Yinpei, He, Wanwei, Li, Bowen, Wu, Yuchuan, Cao, Zheng, An, Zhongqi, Sun, Jian, Li, Yongbin
Practical dialog systems need to deal with various knowledge sources, noisy user expressions, and the shortage of annotated data. To better solve the above problems, we propose CGoDial, new challenging and comprehensive Chinese benchmark for multi-do
Externí odkaz:
http://arxiv.org/abs/2211.11617
Autor:
Li, Qiang, Xiang, Qiao, Liu, Derui, Wang, Yuxin, Qiu, Haonan, Wang, Xiaoliang, Zhang, Jie, Wen, Ridi, Song, Haohao, Tian, Gexiao, Huang, Chenyang, Chen, Lulu, Liu, Shaozong, Wu, Yaohui, Wu, Zhiwu, Luo, Zicheng, Shao, Yuchao, Han, Chao, Wu, Zhongjie, Dong, Jianbo, Cao, Zheng, Wu, Jinbo, Shu, Jiwu, Wu, Jiesheng
In this paper, we conduct systematic measurement studies to show that the high memory bandwidth consumption of modern distributed applications can lead to a significant drop of network throughput and a large increase of tail latency in high-speed RDM
Externí odkaz:
http://arxiv.org/abs/2211.05975
Publikováno v:
Hecheng xiangjiao gongye, Vol 47, Iss 2, Pp 160-166 (2024)
The effects of bound acrylonitrile content, curing system, reinforcing system and plastici-zing system on the corrosion resistance of nitrile rubber (NBR) to common chemical media in the field of petroleum exploitation were studied. The results showe
Externí odkaz:
https://doaj.org/article/f2e90939ddd543cd8e2629792473bac6
Autor:
Cui, Yiming, Guo, Jiajia, Cao, Zheng, Tang, Huaze, Wen, Chao-Kai, Jin, Shi, Wang, Xin, Hou, Xiaolin
Deep learning has shown promise in enhancing channel state information (CSI) feedback. However, many studies indicate that better feedback performance often accompanies higher computational complexity. Pursuing better performance-complexity tradeoffs
Externí odkaz:
http://arxiv.org/abs/2210.17113