Zobrazeno 1 - 10
of 792
pro vyhledávání: '"Yang Mingyu"'
Autor:
Wang Tianyu, Liu Siqi, Zhang Jiahang, Xu Liang, Yang Mingyu, Ma Ding, Jiang Sijia, Jiao Qingbin, Tan Xin
Publikováno v:
Nanophotonics, Vol 13, Iss 4, Pp 463-475 (2024)
The metasurface refractive index sensor has a high degree of tunability and flexibility, providing excellent performance for high precision refractive index sensing applications. The metasurface absorber with metallic structure has been hindered in f
Externí odkaz:
https://doaj.org/article/8c7d2c0052844a87aaf7a18305da1c4d
With the significant development of large models in recent years, Large Vision-Language Models (LVLMs) have demonstrated remarkable capabilities across a wide range of multimodal understanding and reasoning tasks. Compared to traditional Large Langua
Externí odkaz:
http://arxiv.org/abs/2407.07403
Autor:
Zhang Zijian, Chen Guowei, Yang Mingyu, Ou Yunyao, Luo Luqi, Lu Dongqin, Zhang Enze, Guan Heyuan, Lu Huihui, Zhu Wenguo, Yu Jianhui, Dong Jiangli, Qiu Wentao, Chen Zhe, Peng Gangding
Publikováno v:
Nanophotonics, Vol 9, Iss 8, Pp 2387-2396 (2019)
Two-dimensional material tungsten diselenide (WSe2) nanosheets are coated on a microfibre knot resonator (MKR) to achieve an all-optical power modulation functionality. On account of the strong absorption property of WSe2 and the resonance enhancemen
Externí odkaz:
https://doaj.org/article/fd363e70878848e093bc905cdd4e5367
Deep learning-based joint source-channel coding (deep JSCC) has been demonstrated to be an effective approach for wireless image transmission. Nevertheless, most existing work adopts an autoencoder framework to optimize conventional criteria such as
Externí odkaz:
http://arxiv.org/abs/2404.17736
Autor:
Yang, Mingyu, Li, Wentao, Jin, Jiabao, Zhong, Xiaoyao, Wang, Xiangyu, Shen, Zhitao, Jia, Wei, Wang, Wei
Approximate K Nearest Neighbor (AKNN) search in high-dimensional spaces is a critical yet challenging problem. In AKNN search, distance computation is the core task that dominates the runtime. Existing approaches typically use approximate distances t
Externí odkaz:
http://arxiv.org/abs/2404.16322
Autor:
Wu, Xiaofeng, Wang, Zhen, Ding, Zhaoqing, Lin, Zeguo, Yang, Mingyu, Gu, Minghui, Meng, Meng, Yang, Fang, Liu, Xiaoran, Guo, Jiandong
Thin films of the pyrochlore iridates along the [111] direction have drawn significant attention to investigate exotic correlated topological phenomena. Here, we report the fabrication of Eu$_2$Ir$_2$O$_7$ thin films via reactive solid phase epitaxy
Externí odkaz:
http://arxiv.org/abs/2401.04644
Autor:
Zhang, Kejia, Yang, Mingyu, Lang, Stephen D. J., McInnes, Alistair M., Sherley, Richard B., Burghardt, Tilo
African penguins (Spheniscus demersus) are an endangered species. Little is known regarding their underwater hunting strategies and associated predation success rates, yet this is essential for guiding conservation. Modern bio-logging technology has
Externí odkaz:
http://arxiv.org/abs/2308.07267
Autor:
Shoouri, Sara, Yang, Mingyu, Carichner, Gordy, Li, Yuyang, Hamed, Ehab A., Deng, Angela, Green II, Delbert A., Lee, Inhee, Blaauw, David, Kim, Hun-Seok
A new GPS-less, daily localization method is proposed with deep learning sensor fusion that uses daylight intensity and temperature sensor data for Monarch butterfly tracking. Prior methods suffer from the location-independent day length during the e
Externí odkaz:
http://arxiv.org/abs/2307.01920
Solving multiple visual tasks using individual models can be resource-intensive, while multi-task learning can conserve resources by sharing knowledge across different tasks. Despite the benefits of multi-task learning, such techniques can struggle w
Externí odkaz:
http://arxiv.org/abs/2303.09663
Autor:
Qi Jun, Ge Weichun, Li Zhao, Li Wei, Zhang Hongyu, Zhao Jinghong, Jin Chengming, Yu Liangliang, Chen Shuo, Liu Biqi, Yang Mingyu
Publikováno v:
MATEC Web of Conferences, Vol 189, p 03005 (2018)
With the coming of the era of big data, traditional entity recognition technologies have been unable to effectively finish data preprocessing due to large scale of power grid data and complex volume type features. The rising of Hadoop technologies in
Externí odkaz:
https://doaj.org/article/8ae6008818524a3aa527c8017adb2d89