Zobrazeno 1 - 10
of 7 301
pro vyhledávání: '"Songsong An"'
Autor:
Yuanxin Huang, Yuanyue Huang, Xianglong Lv, Zilong Yu, Yue Qin, Xingyue Yang, Songsong An, Chunxin Wo, Lin Wang
Publikováno v:
European Journal of Medical Research, Vol 29, Iss 1, Pp 1-13 (2024)
Abstract Background Patients with neuropathic pain (NP) have significantly lower quality of life. Because the pathophysiology of NP is not fully understood, there is a lack of effective treatment for it in clinic. This study set out to investigate th
Externí odkaz:
https://doaj.org/article/623e48661c324fc5a821d697884fecc6
Coded Distributed Matrix Multiplication (CDMM) is a distributed matrix multiplication (DMM) for large-scale matrices through a coding scheme such that any $R$ worker node among all $N$ worker nodes can recover the final product, where $N$ corresponds
Externí odkaz:
http://arxiv.org/abs/2412.01172
Autor:
Xiong, Songsong, Kasaei, Hamidreza
Robot grasping, whether handling isolated objects, cluttered items, or stacked objects, plays a critical role in industrial and service applications. However, current visual grasp detection methods based on Convolutional Neural Networks (CNNs) and Vi
Externí odkaz:
http://arxiv.org/abs/2410.03522
While large language models have made significant strides in code generation, the pass rate of the generated code is bottlenecked on subtle errors, often requiring human intervention to pass tests, especially for complex problems. Existing LLM-based
Externí odkaz:
http://arxiv.org/abs/2410.01215
The motion of domain walls is crucial for ferroelectric switching. Conventionally, the switching dynamics is believed to be determined by the motion of one or a few low-energy domain wall types of dominant population. Here, we challenge this conventi
Externí odkaz:
http://arxiv.org/abs/2409.12248
Autor:
Cheng, Runxi, Wei, Yongxian, He, Xianglong, Zhu, Wanyun, Huang, Songsong, Yu, Fei Richard, Ma, Fei, Yuan, Chun
Meta-learning has been extensively applied in the domains of few-shot learning and fast adaptation, achieving remarkable performance. While Meta-learning methods like Model-Agnostic Meta-Learning (MAML) and its variants provide a good set of initial
Externí odkaz:
http://arxiv.org/abs/2408.04590
Code-based Distributed Matrix Multiplication (DMM) has been extensively studied in distributed computing for efficiently performing large-scale matrix multiplication using coding theoretic techniques. The communication cost and recovery threshold (i.
Externí odkaz:
http://arxiv.org/abs/2408.01806
Publikováno v:
JHEP 2411 (2024) 019
We perform a complete classification of the consistent two-derivative cubic couplings for a system containing an arbitrary number of massless spin-1, massless spin-2, and partially massless (PM) spin-2 fields in $D$-dimensional (anti-)de Sitter space
Externí odkaz:
http://arxiv.org/abs/2407.05865
Fast encoding and decoding of codes have been always an important topic in code theory as well as complexity theory. Although encoding is easier than decoding in general, designing an encoding algorithm of codes of length $N$ with quasi-linear comple
Externí odkaz:
http://arxiv.org/abs/2407.04618
Social media bot detection is increasingly crucial with the rise of social media platforms. Existing methods predominantly construct social networks as graph and utilize graph neural networks (GNNs) for bot detection. However, most of these methods f
Externí odkaz:
http://arxiv.org/abs/2405.10558