Zobrazeno 1 - 10
of 1 143
pro vyhledávání: '"Liu Ruiqi"'
Publikováno v:
Jisuanji kexue yu tansuo, Vol 17, Iss 12, Pp 2827-2839 (2023)
The rapid and extensive growth of artificial intelligence introduces new security challenges. The generation and defense of adversarial examples for deep neural networks is one of the hot spots. Deep neural networks are most widely used in the field
Externí odkaz:
https://doaj.org/article/de787702ce8d4679a6688c43e4bc69c7
Reinforcement learning (RL) has emerged as a key approach for training agents in complex and uncertain environments. Incorporating statistical inference in RL algorithms is essential for understanding and managing uncertainty in model performance. Th
Externí odkaz:
http://arxiv.org/abs/2410.10737
Continual learning (CL) is designed to learn new tasks while preserving existing knowledge. Replaying samples from earlier tasks has proven to be an effective method to mitigate the forgetting of previously acquired knowledge. However, the current re
Externí odkaz:
http://arxiv.org/abs/2410.06645
Autor:
Liu, Guangyao, Mao, Tianqi, Xiao, Zhenyu, Wen, Miaowen, Liu, Ruiqi, Zhao, Jingjing, Basar, Ertugrul, Wang, Zhaocheng, Chen, Sheng
Affine frequency division multiplexing (AFDM), tailored as a superior multicarrier technique utilizing chirp signals for high-mobility communications, is envisioned as a promising candidate for the sixth-generation (6G) wireless network. AFDM is base
Externí odkaz:
http://arxiv.org/abs/2410.00313
This paper presents a novel concept termed Integrated Imaging and Wireless Power Transfer (IWPT), wherein the integration of imaging and wireless power transfer functionalities is achieved on a unified hardware platform. IWPT leverages a transmitting
Externí odkaz:
http://arxiv.org/abs/2408.00368
On-device large language models (LLMs) are catalyzing novel mobile applications such as UI task automation and personalized email auto-reply, without giving away users' private data. However, on-device LLMs still suffer from unacceptably long inferen
Externí odkaz:
http://arxiv.org/abs/2407.05858
Autor:
Zhao, Yapeng, Wu, Qingqing, Chen, Wen, Zeng, Yong, Liu, Ruiqi, Mei, Weidong, Hou, Fen, Ma, Shaodan
Integrated sensing and communication (ISAC) systems may face a heavy computation burden since the sensory data needs to be further processed. This paper studies a novel system that integrates sensing, communication, and computation, aiming to provide
Externí odkaz:
http://arxiv.org/abs/2407.01006
Autor:
Liu Ruiqi, Pei Ming, Su Qihang, Lei Yangyang, Chen Junli, Lin Wei, Gao Chao, Liu Xinyue, Yang Kang, Yang Hongtao
Publikováno v:
Frontiers in Pharmacology, Vol 12 (2021)
Peritoneal dialysis (PD) can improve the quality of life of patients with kidney disease and prolong survival. However, peritoneal fibrosis can often occur and lead to PD withdrawal. Therefore, it is imperative to better understand how to inhibit and
Externí odkaz:
https://doaj.org/article/1cdf0b108b2744cba5a2851926e3854a
Autor:
Zhao, Yifan, Wang, Xiaoyu, Zhou, Kaibo, Wang, Xuehui, Wang, Yan, Gao, Wei, Liu, Ruiqi, Shu, Feng
Since the secrecy rate (SR) performance improvement obtained by secure directional modulation (DM) network is limited, an active intelligent reflective surface (IRS)-assisted DM network is considered to attain a high SR. To address the SR maximizatio
Externí odkaz:
http://arxiv.org/abs/2406.09192
Autor:
Liu, Ruiqi, Zheng, Shuang, Wu, Qingqing, Jiang, Yifan, Zhang, Nan, Liu, Yuanwei, Di Renzo, Marco, Alexandropoulos, and George C.
Reconfigurable Intelligent Surfaces (RISs) are a novel form of ultra-low power devices that are capable to increase the communication data rates as well as the cell coverage in a cost- and energy-efficient way. This is attributed to their programmabl
Externí odkaz:
http://arxiv.org/abs/2406.05647