Zobrazeno 1 - 10
of 52 156
pro vyhledávání: '"An, Yunfei"'
Autor:
Wang, Yifan, Liu, Yunfei
Capacitive Micromachined Ultrasonic Transducer (CMUT) has a wild range of applications in medical detecting and imaging fields. However, operating under self-generating-self-receiving (SGSR) method usually results in poor sensitivity. But the sensiti
Externí odkaz:
http://arxiv.org/abs/2407.09022
Solid Earth tide represents the elastic response of solid Earth to the lunar (solar) gravitational force. The yielding solid Earth due to the force has been thought to be a prolate ellipsoid since the time of Lord Kelvin, yet the ellipsoid's geometry
Externí odkaz:
http://arxiv.org/abs/2407.08202
Electrophysiological signal processing often requires blind source separation (BSS) techniques due to the nature of mixing source signals. However, its complex computational demands make real-time applicability challenging. In this study, we propose
Externí odkaz:
http://arxiv.org/abs/2407.05655
Autor:
Li, Fulan, Guo, Yunfei, Xu, Wenda, Zhang, Weide, Zhao, Fangyun, Wang, Baiyu, Du, Huaguang, Zhang, Chengkun
This paper presents the development of an upper limb end-effector based rehabilitation device for stroke patients, offering assistance or resistance along any 2-dimensional trajectory during physical therapy. It employs a non-backdrivable ball-screw-
Externí odkaz:
http://arxiv.org/abs/2406.14795
Autor:
Liu, Yunfei, Li, Jintang, Chen, Yuehe, Wu, Ruofan, Wang, Ericbk, Zhou, Jing, Tian, Sheng, Shen, Shuheng, Fu, Xing, Meng, Changhua, Wang, Weiqiang, Chen, Liang
Graph clustering, a fundamental and challenging task in graph mining, aims to classify nodes in a graph into several disjoint clusters. In recent years, graph contrastive learning (GCL) has emerged as a dominant line of research in graph clustering a
Externí odkaz:
http://arxiv.org/abs/2406.14288
Representation learning on text-attributed graphs (TAGs) is vital for real-world applications, as they combine semantic textual and contextual structural information. Research in this field generally consist of two main perspectives: local-level enco
Externí odkaz:
http://arxiv.org/abs/2406.12608
In this work, we present a comprehensive study of holographic stress tensor correlators on general Riemann surfaces, extending beyond the previously well-studied torus cases to explore higher genus conformal field theories (CFTs) within the framework
Externí odkaz:
http://arxiv.org/abs/2406.04042
Among many envisaged drivers for the sixth generation, one is from the United Nations Sustainability Development Goals 2030 to eliminate digital inequality. Remote coverage in sparsely populated areas, difficult terrains, or emergency scenarios requi
Externí odkaz:
http://arxiv.org/abs/2406.02232
Recent deep learning-based multi-view people detection (MVD) methods have shown promising results on existing datasets. However, current methods are mainly trained and evaluated on small, single scenes with a limited number of multi-view frames and f
Externí odkaz:
http://arxiv.org/abs/2405.19943
Autor:
Li, Jia, Li, Ge, Zhao, Yunfei, Li, Yongmin, Liu, Huanyu, Zhu, Hao, Wang, Lecheng, Liu, Kaibo, Fang, Zheng, Wang, Lanshen, Ding, Jiazheng, Zhang, Xuanming, Zhu, Yuqi, Dong, Yihong, Jin, Zhi, Li, Binhua, Huang, Fei, Li, Yongbin
How to evaluate the coding abilities of Large Language Models (LLMs) remains an open question. We find that existing benchmarks are poorly aligned with real-world code repositories and are insufficient to evaluate the coding abilities of LLMs. To add
Externí odkaz:
http://arxiv.org/abs/2405.19856