Zobrazeno 1 - 10
of 5 175
pro vyhledávání: '"Ren, hao"'
Autor:
Yang, Xiong, Ren, Hao, Guo, Dong, Ling, Zhengrong, Zhang, Tieshan, Li, Gen, Tang, Yifeng, Zhao, Haoxiang, Wang, Jiale, Chang, Hongyuan, Dong, Jia, Shen, Yajing
The human skin exhibits remarkable capability to perceive contact forces and environmental temperatures, providing intricate information essential for nuanced manipulation. Despite recent advancements in soft tactile sensors, a significant challenge
Externí odkaz:
http://arxiv.org/abs/2409.03421
Molecular clouds are regions of dense gas and dust in space where new stars and planets are born. There is a strong correlation between the distribution of dust and molecular gas in molecular clouds. The present work focuses on the three-dimensional
Externí odkaz:
http://arxiv.org/abs/2409.02057
Autor:
Ren, Hao, Jiang, Jiaojiao
As the calculation of centrality in complex networks becomes increasingly vital across technological, biological, and social systems, precise and scalable ranking methods are essential for understanding these networks. This paper introduces LayerPlex
Externí odkaz:
http://arxiv.org/abs/2405.05576
Controlling fluidic flows in active droplets is crucial in developing intelligent models to understand and mimic single-celled microorganisms. Typically, these fluidic flows are affected by the interfacial dynamics of chemical agents. We found that t
Externí odkaz:
http://arxiv.org/abs/2405.05889
The increasing prevalence of audio deepfakes poses significant security threats, necessitating robust detection methods. While existing detection systems exhibit promise, their robustness against malicious audio manipulations remains underexplored. T
Externí odkaz:
http://arxiv.org/abs/2404.15854
Publikováno v:
International Conference on Learning Representations 2024
Recent advances in image deraining have focused on training powerful models on mixed multiple datasets comprising diverse rain types and backgrounds. However, this approach tends to overlook the inherent differences among rainy images, leading to sub
Externí odkaz:
http://arxiv.org/abs/2404.12091
Publikováno v:
Complex Networks & Their Applications XII (2024) 62-74
Recent advances have focused mainly on the resilience of the monoplex network in attacks targeting random nodes or links, as well as the robustness of the network against cascading attacks. However, very little research has been done to investigate t
Externí odkaz:
http://arxiv.org/abs/2309.07617
Discriminative representation is essential to keep a unique identifier for each target in Multiple object tracking (MOT). Some recent MOT methods extract features of the bounding box region or the center point as identity embeddings. However, when ta
Externí odkaz:
http://arxiv.org/abs/2302.14589
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract When conducting retreat mining in segmented coal pillars, the dynamic evolution of stress and overlying strata structure is more complex than conventional working faces due to the influence of adjacent working faces. Understanding and master
Externí odkaz:
https://doaj.org/article/091715f758bc45b0889d8f26162f893e
Autor:
Ren, Hao, Xu, Guowen, Zhang, Tianwei, Ning, Jianting, Huang, Xinyi, Li, Hongwei, Lu, Rongxing
Fueled by its successful commercialization, the recommender system (RS) has gained widespread attention. However, as the training data fed into the RS models are often highly sensitive, it ultimately leads to severe privacy concerns, especially when
Externí odkaz:
http://arxiv.org/abs/2212.01537