Zobrazeno 1 - 10
of 471
pro vyhledávání: '"Yang Xiaoxuan"'
Publikováno v:
Shanghai Jiaotong Daxue xuebao. Yixue ban, Vol 43, Iss 2, Pp 194-200 (2023)
Objective·To investigate the influence of intraoperative dexmedetomidine infusion on the recurrence-free survival (RFS) and overall survival (OS) rate of patients undergoing breast cancer surgery.Methods·A retrospective analysis was performed on pa
Externí odkaz:
https://doaj.org/article/4fede4d03db841c8825d2e55b5eca964
Large language models (LLMs) have recently transformed natural language processing, enabling machines to generate human-like text and engage in meaningful conversations. This development necessitates speed, efficiency, and accessibility in LLM infere
Externí odkaz:
http://arxiv.org/abs/2406.08413
With the increasing adoption of smart contracts, ensuring their security has become a critical concern. Numerous vulnerabilities and attacks have been identified and exploited, resulting in significant financial losses. In response, researchers have
Externí odkaz:
http://arxiv.org/abs/2311.00270
Autor:
Wu, Xueying, Hanson, Edward, Wang, Nansu, Zheng, Qilin, Yang, Xiaoxuan, Yang, Huanrui, Li, Shiyu, Cheng, Feng, Pande, Partha Pratim, Doppa, Janardhan Rao, Chakrabarty, Krishnendu, Li, Hai
Resistive random access memory (ReRAM)-based processing-in-memory (PIM) architectures have demonstrated great potential to accelerate Deep Neural Network (DNN) training/inference. However, the computational accuracy of analog PIM is compromised due t
Externí odkaz:
http://arxiv.org/abs/2310.12182
Publikováno v:
Sci. China Inf. Sci. 66, 229301 (2023)
To tackle challenging combinatorial optimization problems, analog computing machines based on the nature-inspired Ising model are attracting increasing attentions in order to disruptively overcome the impending limitations on conventional electronic
Externí odkaz:
http://arxiv.org/abs/2301.04651
Autor:
Wolters, Christopher, Taylor, Brady, Hanson, Edward, Yang, Xiaoxuan, Schlichtmann, Ulf, Chen, Yiran
With an ever-growing number of parameters defining increasingly complex networks, Deep Learning has led to several breakthroughs surpassing human performance. As a result, data movement for these millions of model parameters causes a growing imbalanc
Externí odkaz:
http://arxiv.org/abs/2212.14337
Autor:
Henkel, Jörg, Li, Hai, Raghunathan, Anand, Tahoori, Mehdi B., Venkataramani, Swagath, Yang, Xiaoxuan, Zervakis, Georgios
Approximate computing (AxC) has been long accepted as a design alternative for efficient system implementation at the cost of relaxed accuracy requirements. Despite the AxC research activities in various application domains, AxC thrived the past deca
Externí odkaz:
http://arxiv.org/abs/2210.00497
Autor:
Xu, Guiying, Yang, Xiaoxuan, Yu, Feihong, Mei, Jiangnan, Liu, Mingming, Li, Mingsong, Zhu, Teng, Fang, Baizeng
Publikováno v:
In Science of the Total Environment 15 November 2024 951
Publikováno v:
In International Journal of Heat and Mass Transfer 15 November 2024 233
Autor:
Zheng, Sixing, Liu, Yingnan, Yang, Xiaoxuan, Zhao, Zilin, Zhang, Qinghua, Yang, Bin, Li, Zhongjian, Dong, Chung-Li, Lei, Lecheng, Hou, Yang
Publikováno v:
In Chemical Engineering Science 5 October 2024 298