Zobrazeno 1 - 10
of 10 505
pro vyhledávání: '"Xiuhong"'
Publikováno v:
Chinese Nursing Research; Jul2024, Vol. 38 Issue 13, p2332-2335, 4p
Autor:
Li, Xiang, Fan, Lizhou, Wu, Hanbo, Chen, Kunping, Yu, Xiaoxiao, Che, Chao, Cai, Zhifeng, Niu, Xiuhong, Cao, Aihua, Ma, Xin
Autism Spectrum Disorder (ASD) is a rapidly growing neurodevelopmental disorder. Performing a timely intervention is crucial for the growth of young children with ASD, but traditional clinical screening methods lack objectivity. This study introduces
Externí odkaz:
http://arxiv.org/abs/2408.16924
Autor:
Zhu, Qianchao, Duan, Jiangfei, Chen, Chang, Liu, Siran, Li, Xiuhong, Feng, Guanyu, Lv, Xin, Cao, Huanqi, Chuanfu, Xiao, Zhang, Xingcheng, Lin, Dahua, Yang, Chao
Large language models (LLMs) now support extremely long context windows, but the quadratic complexity of vanilla attention results in significantly long Time-to-First-Token (TTFT) latency. Existing approaches to address this complexity require additi
Externí odkaz:
http://arxiv.org/abs/2406.15486
Large language models (LLMs) can now handle longer sequences of tokens, enabling complex tasks like book understanding and generating lengthy novels. However, the key-value (KV) cache required for LLMs consumes substantial memory as context length in
Externí odkaz:
http://arxiv.org/abs/2405.06219
Autor:
Zhou, Zixuan, Ning, Xuefei, Hong, Ke, Fu, Tianyu, Xu, Jiaming, Li, Shiyao, Lou, Yuming, Wang, Luning, Yuan, Zhihang, Li, Xiuhong, Yan, Shengen, Dai, Guohao, Zhang, Xiao-Ping, Dong, Yuhan, Wang, Yu
Large Language Models (LLMs) have attracted extensive attention due to their remarkable performance across various tasks. However, the substantial computational and memory requirements of LLM inference pose challenges for deployment in resource-const
Externí odkaz:
http://arxiv.org/abs/2404.14294
Autor:
Duan, Jiangfei, Lu, Runyu, Duanmu, Haojie, Li, Xiuhong, Zhang, Xingcheng, Lin, Dahua, Stoica, Ion, Zhang, Hao
Large language models (LLMs) have demonstrated remarkable performance, and organizations are racing to serve LLMs of varying sizes as endpoints for use-cases like chat, programming and search. However, efficiently serving multiple LLMs poses signific
Externí odkaz:
http://arxiv.org/abs/2404.02015
Autor:
Lin, Xiuhong, Qiu, Changjie, Cai, Zhipeng, Shen, Siqi, Zang, Yu, Liu, Weiquan, Bian, Xuesheng, Müller, Matthias, Wang, Cheng
Event cameras have emerged as a promising vision sensor in recent years due to their unparalleled temporal resolution and dynamic range. While registration of 2D RGB images to 3D point clouds is a long-standing problem in computer vision, no prior wo
Externí odkaz:
http://arxiv.org/abs/2311.18433
Autor:
Hong, Ke, Dai, Guohao, Xu, Jiaming, Mao, Qiuli, Li, Xiuhong, Liu, Jun, Chen, Kangdi, Dong, Yuhan, Wang, Yu
As the Large Language Model (LLM) becomes increasingly important in various domains. However, the following challenges still remain unsolved in accelerating LLM inference: (1) Synchronized partial softmax update. The softmax operation requires a sync
Externí odkaz:
http://arxiv.org/abs/2311.01282
Autor:
Xiuhong Huang, Meimei Fu, Min Lu, Xiaoxian Wu, Weiqian David Hong, Xiaoying Wang, Panpan Wu, Keke Wu
Publikováno v:
Engineered Regeneration, Vol 5, Iss 4, Pp 505-520 (2024)
Current treatments for diabetic wounds have some curative effect, but the process is complicated and lack user-friendly wound dressings. Nanozymes have gained significant attention for wound healing due to their striking merits. Herein, we have devel
Externí odkaz:
https://doaj.org/article/87c31c79a13c45a1852e167e26f83aac
Autor:
Dadao WANG, Xueqin YANG, Ziqing MA, Xiuhong ZHU, Guangxin RU, Yucong GUO, Xiaolin YU, Maofa GE
Publikováno v:
能源环境保护, Vol 38, Iss 6, Pp 68-80 (2024)
In the industrial environment, the composition of flue gas is complex, and impurities in flue gas can lead to catalyst poisoning and deactivation, which severely restricts their application in practice. This paper reviews the catalytic oxidation mech
Externí odkaz:
https://doaj.org/article/99223f3974624561b4fb2763e4da5508