Zobrazeno 1 - 10
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pro vyhledávání: '"CHANG Wei"'
Publikováno v:
In Chinese Journal of Natural Medicines May 2023 21(5):333-345
Publikováno v:
Medicinal Plant. Jun2022, Vol. 13 Issue 3, p53-55. 3p.
Autor:
Shiu, Jiun-Shiuan, Lin, Chang-Wei, Huang, Yu-Chiao, Lin, Meng-Jung, Huang, I-Chia, Wu, Ting-Ho, Kuan, Pei-Chen, Chen, Yong-Fan
We present experimental results on tuning biphoton frequency by introducing a detuned coupling field in spontaneous four-wave mixing (SFWM), and examine its impact on the pairing ratio. This tunability is achieved by manipulating the inherent electro
Externí odkaz:
http://arxiv.org/abs/2412.04127
In the graph-based semi-supervised learning, the Green-function method is a classical method that works by computing the Green's function in the graph space. However, when applied to large graphs, especially those sparse ones, this method performs un
Externí odkaz:
http://arxiv.org/abs/2411.01792
Autor:
Ho, Gia-Bao Dinh, Tan, Chang Wei, Darban, Zahra Zamanzadeh, Salehi, Mahsa, Haffari, Gholamreza, Buntine, Wray
Detecting critical moments, such as emotional outbursts or changes in decisions during conversations, is crucial for understanding shifts in human behavior and their consequences. Our work introduces a novel problem setting focusing on these moments
Externí odkaz:
http://arxiv.org/abs/2409.14801
Because of the previously observed stability of the 171-day period, the superorbital modulation of the low-mass X-ray binary 4U 1820-30 was considered a consequence of a third star orbiting around the binary. This study aims to further verify this tr
Externí odkaz:
http://arxiv.org/abs/2409.08451
Various exotic phenomena emerge in non-equilibrium quantum many-body systems. The Mpemba effect, denoting the situation where a hot system freezes faster than the colder one, is a counterintuitive non-equilibrium phenomenon that has attracted endurin
Externí odkaz:
http://arxiv.org/abs/2409.06547
Distributed learning is essential for training large-scale deep models. Asynchronous SGD (ASGD) and its variants are commonly used distributed learning methods, particularly in scenarios where the computing capabilities of workers in the cluster are
Externí odkaz:
http://arxiv.org/abs/2407.19234
Autor:
Tseng, Liang-Hsuan, Chen, Zih-Ching, Chang, Wei-Shun, Lee, Cheng-Kuang, Huang, Tsung-Ren, Lee, Hung-yi
Recent advances in automatic speech recognition (ASR) often rely on large speech foundation models for generating high-quality transcriptions. However, these models can be impractical due to limited computing resources. The situation is even more sev
Externí odkaz:
http://arxiv.org/abs/2407.10603
Autor:
Wan, Guangsheng1 (AUTHOR), Xie, Manli1 (AUTHOR), Zhang, Xinyan2 (AUTHOR) xyz1989117@163.com, Li, Meiying3 (AUTHOR) xyz1989117@163.com
Publikováno v:
Pharmaceutical Biology. Dec2019, Vol. 57 Issue 1, p231-237. 7p.