Zobrazeno 1 - 10
of 306
pro vyhledávání: '"Xia, Xuan"'
Large language models (LLMs) have shown great potential in code-related tasks, yet open-source models lag behind their closed-source counterparts. To bridge this performance gap, existing methods generate vast amounts of synthetic data for fine-tunin
Externí odkaz:
http://arxiv.org/abs/2408.02193
Although industrial anomaly detection (AD) technology has made significant progress in recent years, generating realistic anomalies and learning priors of normal remain challenging tasks. In this study, we propose an end-to-end industrial anomaly det
Externí odkaz:
http://arxiv.org/abs/2301.12739
Autor:
Xu, Changyue, Zheng, Shuai, Xia, Xuan, Li, Jiaxuan, Yu, Qing, Wang, Yihong, Jin, Qing, Wang, Chongwen, Gu, Bing
Publikováno v:
In Analytica Chimica Acta 9 October 2024 1325
Autor:
Wen, Xin, Li, Dan, Wang, Hankun, Zhang, Ding, Song, Jingrui, Zhou, Ziwei, Huang, Weifeng, Xia, Xuan, Hu, Xiaohong, Liu, Wei, Gonzales, Jacqueline, Via, Laura E., Zhang, Lu, Wang, Decheng
Publikováno v:
In International Immunopharmacology 10 September 2024 138
Bursting oscillations are commonly seen as a mechanism for information coding in neuroscience and have also been observed in many physical, biochemical, and chemical systems. This study focuses on the computational investigation of mixed-mode burstin
Externí odkaz:
http://arxiv.org/abs/2110.07167
Publikováno v:
In European Polymer Journal 10 June 2024 213
Autor:
Han, Shanshan, Hu, Yue, Jia, Danna, Lv, Yuexia, Liu, Mugen, Wang, Decheng, Chao, Jin, Xia, Xuan, Wang, Qiong, Liu, Pei, Cai, Yu, Ren, Xiang
Publikováno v:
In Gene 5 May 2024 905
Autor:
Zhi-ying Kang, Qian-yu Huang, Ning-xin Zhen, Nan-xia Xuan, Qi-chao Zhou, Jie Zhao, Wei Cui, Zhao-cai Zhang, Bao-ping Tian
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
BackgroundAcute Respiratory Distress Syndrome (ARDS) or its earlier stage Acute lung injury (ALI), is a worldwide health concern that jeopardizes human well-being. Currently, the treatment strategies to mitigate the incidence and mortality of ARDS ar
Externí odkaz:
https://doaj.org/article/3a80f922c0984a578c34a63095f8c959
As a kind of generative self-supervised learning methods, generative adversarial nets have been widely studied in the field of anomaly detection. However, the representation learning ability of the generator is limited since it pays too much attentio
Externí odkaz:
http://arxiv.org/abs/2107.12753
Publikováno v:
In iScience 19 April 2024 27(4)