Zobrazeno 1 - 10
of 610
pro vyhledávání: '"WANG Shaoyu"'
Autor:
Wang, Shaoyu, Zhao, Kaiyue, Wei, Dongliang, Wałęga, Przemysław Andrzej, Wang, Dingmin, Cai, Hongmin, Hu, Pan
DatalogMTL is a powerful rule-based language for temporal reasoning. Due to its high expressive power and flexible modeling capabilities, it is suitable for a wide range of applications, including tasks from industrial and financial sectors. However,
Externí odkaz:
http://arxiv.org/abs/2412.07259
Recent advances in diffusion models have demonstrated exceptional performance in generative tasks across vari-ous fields. In positron emission tomography (PET), the reduction in tracer dose leads to information loss in sino-grams. Using diffusion mod
Externí odkaz:
http://arxiv.org/abs/2411.05354
Autor:
Guan, Yu, Zhang, Kunlong, Qi, Qi, Wang, Dong, Ke, Ziwen, Wang, Shaoyu, Liang, Dong, Liu, Qiegen
Diffusion models have recently demonstrated considerable advancement in the generation and reconstruction of magnetic resonance imaging (MRI) data. These models exhibit great potential in handling unsampled data and reducing noise, highlighting their
Externí odkaz:
http://arxiv.org/abs/2411.03723
Metal artifacts in computed tomography (CT) imaging pose significant challenges to accurate clinical diagnosis. The presence of high-density metallic implants results in artifacts that deteriorate image quality, manifesting in the forms of streaking,
Externí odkaz:
http://arxiv.org/abs/2408.14342
Multimodal large language models (MLLMs) have extended the success of large language models (LLMs) to multiple data types, such as image, text and audio, achieving significant performance in various domains, including multimodal translation, visual q
Externí odkaz:
http://arxiv.org/abs/2408.03505
Autor:
Liu, Ziming, Wang, Shaoyu, Cheng, Shenggan, Zhao, Zhongkai, Wang, Kai, Zhao, Xuanlei, Demmel, James, You, Yang
Training Transformer models on long sequences in a distributed setting poses significant challenges in terms of efficiency and scalability. Current methods are either constrained by the number of attention heads or excessive communication overheads.
Externí odkaz:
http://arxiv.org/abs/2407.00611
Autor:
Wang, Shaoyu, Li, Xiubing, Zhang, Heng, Chen, Bo, Xie, Hangkai, Li, Congcong, Fei, Fucong, Zhang, Shuai, Song, Fengqi
Publikováno v:
Appl. Phys. Lett. 124, 153102 (2024)
Nonlinear Hall effect (NLHE), as a new member of Hall effect family, has been realized in many materials, attracting a great deal of attention. Here, we report the observation of NLHE in magnetic topological insulator Sb-doped MnBi4Te7 flakes. The NL
Externí odkaz:
http://arxiv.org/abs/2404.06005
Hyperspectral anomaly detection (HAD) involves identifying the targets that deviate spectrally from their surroundings, without prior knowledge. Recently, deep learning based methods have become the mainstream HAD methods, due to their powerful spati
Externí odkaz:
http://arxiv.org/abs/2303.12342
Anomaly segmentation in high spatial resolution (HSR) remote sensing imagery is aimed at segmenting anomaly patterns of the earth deviating from normal patterns, which plays an important role in various Earth vision applications. However, it is a cha
Externí odkaz:
http://arxiv.org/abs/2301.13422
Autor:
Wang, Xin, Meng, Guangfan, Zhang, Zongyu, Zhao, Jiacheng, Wang, Shaoyu, Hua, Dongliang, JingZhang, Zhang, Jie
Publikováno v:
In International Journal of Pharmaceutics: X December 2024 8
