Zobrazeno 1 - 10
of 2 144
pro vyhledávání: '"Su Qiang"'
Autor:
JIANG Chenyi, PAN Jiawei, ZHANG Lijun, LI Haibing, SUN Zhiming, CHEVALIER Marie-Luce, LIU Fucai, SU Qiang
Publikováno v:
Dizhi lixue xuebao, Vol 30, Iss 2, Pp 332-347 (2024)
Objective In recent years, UAV (Unmanned Aerial Vehicle) SfM (Structure from Motion) technology has been widely applied as an emerging high-precision 3D topographic data acquisition technique in active tectonics research. However, existing domestic r
Externí odkaz:
https://doaj.org/article/f3a21ee935794a13bc5242db9b98e6b0
Publikováno v:
Dizhi lixue xuebao, Vol 27, Iss 2, Pp 254-266 (2021)
Active fault is a major risk source of urban earthquake disaster. Accurately identifying the spatial geometry distribution features of active fault is the basis for urban seismic risk migration. However, due to the large-scale and deep urban renewal
Externí odkaz:
https://doaj.org/article/21d3779f450a42b6b75b0e54640b2b36
Network function (NF) offloading on SmartNICs has been widely used in modern data centers, offering benefits in host resource saving and programmability. Co-running NFs on the same SmartNICs can cause performance interference due to onboard resource
Externí odkaz:
http://arxiv.org/abs/2405.05529
Autor:
Su, Qiang, Wu, Shaofeng, Niu, Zhixiong, Shu, Ran, Cheng, Peng, Xiong, Yongqiang, Liu, Zaoxing, Xu, Hong
SmartNICs are touted as an attractive substrate for network application offloading, offering benefits in programmability, host resource saving, and energy efficiency. The current usage restricts offloading to local hosts and confines SmartNIC ownersh
Externí odkaz:
http://arxiv.org/abs/2312.11871
Deep learning datasets are expanding at an unprecedented pace, creating new challenges for data processing in model training pipelines. A crucial aspect of these pipelines is dataset shuffling, which significantly improves unbiased learning and conve
Externí odkaz:
http://arxiv.org/abs/2312.02368
Large language models, such as OpenAI's ChatGPT, have demonstrated exceptional language understanding capabilities in various NLP tasks. Sparsely activated mixture-of-experts (MoE) has emerged as a promising solution for scaling models while maintain
Externí odkaz:
http://arxiv.org/abs/2310.07188
Autor:
Zhan, Ruohan, Pei, Changhua, Su, Qiang, Wen, Jianfeng, Wang, Xueliang, Mu, Guanyu, Zheng, Dong, Jiang, Peng
Watch-time prediction remains to be a key factor in reinforcing user engagement via video recommendations. It has become increasingly important given the ever-growing popularity of online videos. However, prediction of watch time not only depends on
Externí odkaz:
http://arxiv.org/abs/2206.06003
Autor:
Su, Qiang, Xu, Jinming
Publikováno v:
In Journal of Building Engineering 15 October 2024 95