Zobrazeno 1 - 10
of 353
pro vyhledávání: '"Fan, Xiaoya"'
Existing music generation models are mostly language-based, neglecting the frequency continuity property of notes, resulting in inadequate fitting of rare or never-used notes and thus reducing the diversity of generated samples. We argue that the dis
Externí odkaz:
http://arxiv.org/abs/2408.01950
Underwater acoustic target recognition (UATR) and localization (UATL) play important roles in marine exploration. The highly noisy acoustic signal and time-frequency interference among various sources pose big challenges to this task. To tackle these
Externí odkaz:
http://arxiv.org/abs/2305.12701
Symbolic Music Generation relies on the contextual representation capabilities of the generative model, where the most prevalent approach is the Transformer-based model. The learning of musical context is also related to the structural elements in mu
Externí odkaz:
http://arxiv.org/abs/2205.08579
Publikováno v:
In Measurement August 2024 235
Autor:
Gu, Mingqi, Chen, Hailiang, Fan, Xiaoya, Li, Yuxin, Liu, Chaoyi, Li, Hongwei, Shi, Ruyue, Li, Lida, Gao, Zhigang, Zhang, Sa, Li, Shuguang
Publikováno v:
In Infrared Physics and Technology June 2024 139
Publikováno v:
In Energy 15 April 2024 293
Autor:
Fan, Xiaoya
In this work, we propose an approach that allows to explore the potential pathophysiological mechanisms (at neuronal population level) of ictogenesis by combining clinical intracranial electroencephalographic (iEEG) recordings with a neural mass mode
Autor:
Xu, Xi, Yang, Chunbo, Wang, Shuo, Jiao, Chenyang, Sun, Jingzheng, Fan, Xiaoya, Wang, Xiangjing, Xiang, Wensheng, Zhao, Junwei
Publikováno v:
In Crop Protection January 2024 175
Autor:
Zhang, Sa, Chen, Hailiang, Li, Hongwei, Li, Lida, Fan, Xiaoya, Cai, Meiyu, Hu, Junling, Jia, Shaoyu, Li, Shuguang
Publikováno v:
In Measurement 1 February 2025 241
Secondary structure plays an important role in determining the function of non-coding RNAs. Hence, identifying RNA secondary structures is of great value to research. Computational prediction is a mainstream approach for predicting RNA secondary stru
Externí odkaz:
http://arxiv.org/abs/2009.08868