Zobrazeno 1 - 10
of 1 752
pro vyhledávání: '"Chen Xiaoshuang"'
Modern large-scale recommender systems are built upon computation-intensive infrastructure and usually suffer from a huge difference in traffic between peak and off-peak periods. In peak periods, it is challenging to perform real-time computation for
Externí odkaz:
http://arxiv.org/abs/2404.14961
Publikováno v:
中西医结合护理, Vol 7, Iss 3, Pp 104-106 (2021)
Objective To summarize the application value of modified vacuum sealing drainage in the treatment of tuberculosis wound with sinus tract and related nursing interventions. Methods The clinical data of 6 patients with tuberculosis wound with sinus tra
Externí odkaz:
https://doaj.org/article/daf76f640cdf46b5a998d43109446cfb
In recent years, there has been a growing interest in utilizing reinforcement learning (RL) to optimize long-term rewards in recommender systems. Since industrial recommender systems are typically designed as multi-stage systems, RL methods with a si
Externí odkaz:
http://arxiv.org/abs/2401.06470
Class Incremental Learning (CIL) aims to handle the scenario where data of novel classes occur continuously and sequentially. The model should recognize the sequential novel classes while alleviating the catastrophic forgetting. In the self-supervise
Externí odkaz:
http://arxiv.org/abs/2311.08764
The shortest-path distance is a fundamental concept in graph analytics and has been extensively studied in the literature. In many real-world applications, quality constraints are naturally associated with edges in the graphs and finding the shortest
Externí odkaz:
http://arxiv.org/abs/2211.08648
Publikováno v:
Nanoscale Research Letters, Vol 5, Iss 7, Pp 1144-1149 (2010)
Abstract The deformation of armchair single-walled carbon nanotube under transverse electric field has been investigated using density functional theory. The results show that the circular cross-sections of the nanotubes are deformed to elliptic ones
Externí odkaz:
https://doaj.org/article/1d0ec206cd554f578b037d3910ec419b
Autor:
Chen, Xiaoshuang, Lu, Hongtao
Fully-supervised crowd counting is a laborious task due to the large amounts of annotations. Few works focus on weekly-supervised crowd counting, where only the global crowd numbers are available for training. The main challenge of weekly-supervised
Externí odkaz:
http://arxiv.org/abs/2202.10681
Publikováno v:
In Journal of Alloys and Compounds 25 September 2024 1000
Autor:
Jiang, Wenyue, Zhao, Bingxin, Li, Ziting, Zhou, Peng, Zhao, Yuxin, Chen, Xiaoshuang, Wang, Jinping, Yang, Rui, Zuo, Chunling
Publikováno v:
In International Journal of Hydrogen Energy 4 July 2024 73:590-597
Autor:
Chen, Xiaoshuang, Zhao, Yiru, Qin, Yu, Jiang, Fei, Tao, Mingyuan, Hua, Xiansheng, Lu, Hongtao
Crowd counting aims to learn the crowd density distributions and estimate the number of objects (e.g. persons) in images. The perspective effect, which significantly influences the distribution of data points, plays an important role in crowd countin
Externí odkaz:
http://arxiv.org/abs/2111.00406