Zobrazeno 1 - 10
of 804
pro vyhledávání: '"SUN Yaping"'
Autor:
BAI Guojie, LI Kexin, LIU Wenyuan, LAN Guang, GUO Hong, SUN Yaping, WANG Yu, TONG Weiling, ZHANG Keyu
Publikováno v:
Zhongliu Fangzhi Yanjiu, Vol 50, Iss 10, Pp 981-987 (2023)
Objective To compare the diagnostic performance of PI-RADS v2.1 and PI-RADS v2 in the detection of clinically significant prostate cancer(csPCa) by Meta-analysis. Methods The major biomedical databases were searched (CNKI, CBM, Medline, and Embase) w
Externí odkaz:
https://doaj.org/article/ba365c6ec8684aec924fde19d826e11d
Autor:
Xue, Nan, Sun, Yaping, Chen, Zhiyong, Tao, Meixia, Xu, Xiaodong, Qian, Liang, Cui, Shuguang, Zhang, Wenjun, Zhang, Ping
Large Language Models (LLMs) have achieved significant success in various natural language processing tasks, but the role of wireless networks in supporting LLMs has not been thoroughly explored. In this paper, we propose a wireless distributed Mixtu
Externí odkaz:
http://arxiv.org/abs/2411.06681
Semantic communication has emerged as a promising communication paradigm and there have been extensive research focusing on its applications in the increasingly prevalent multi-user scenarios. However, the knowledge discrepancy among multiple users m
Externí odkaz:
http://arxiv.org/abs/2410.02405
Lightweight and efficient neural network models for deep joint source-channel coding (JSCC) are crucial for semantic communications. In this paper, we propose a novel JSCC architecture, named MambaJSCC, that achieves state-of-the-art performance with
Externí odkaz:
http://arxiv.org/abs/2409.16592
Semantic communication has drawn substantial attention as a promising paradigm to achieve effective and intelligent communications. However, efficient image semantic communication encounters challenges with a lower testing compression ratio (CR) comp
Externí odkaz:
http://arxiv.org/abs/2405.05738
Autor:
Xue, Nan, Sun, Yaping, Chen, Zhiyong, Tao, Meixia, Xu, Xiaodong, Qian, Liang, Cui, Shuguang, Zhang, Ping
Large Language Models (LLMs) have achieved significant success in various natural language processing tasks, but how wireless communications can support LLMs has not been extensively studied. In this paper, we propose a wireless distributed LLMs para
Externí odkaz:
http://arxiv.org/abs/2405.03131
This paper introduces MMW-Carry, a system designed to predict the probability of individuals carrying various objects using millimeter-wave radar signals, complemented by camera input. The primary goal of MMW-Carry is to provide a rapid and cost-effe
Externí odkaz:
http://arxiv.org/abs/2402.15897
Cross-technology communication (CTC) is a promising technique that enables direct communications among incompatible wireless technologies without needing hardware modification. However, it has not been widely adopted in real-world applications due to
Externí odkaz:
http://arxiv.org/abs/2402.10072
Codebook-based generative semantic communication attracts increasing attention, since only indices are required to be transmitted when the codebook is shared between transmitter and receiver. However, due to the fact that the semantic relations among
Externí odkaz:
http://arxiv.org/abs/2402.16868
Autor:
Zhou, Yingbin, Sun, Yaping, Chen, Guanying, Xu, Xiaodong, Chen, Hao, Huang, Binhong, Cui, Shuguang, Zhang, Ping
Vector quantization-based image semantic communication systems have successfully boosted transmission efficiency, but face challenges with conflicting requirements between codebook design and digital constellation modulation. Traditional codebooks ne
Externí odkaz:
http://arxiv.org/abs/2401.01272