Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Zonghan Yang"'
Autor:
Renée Gill, Megan Banky, Zonghan Yang, Pablo Medina Mena, Chi Ching Angie Woo, Adam Bryant, John Olver, Elizabeth Moore, Gavin Williams
Publikováno v:
Toxins, Vol 16, Iss 8, p 347 (2024)
Botulinum neurotoxin-A (BoNT-A) injections are effective for focal spasticity. However, the impact on muscle strength is not established. This study aimed to investigate the effect of BoNT-A injections on muscle strength in adult neurological conditi
Externí odkaz:
https://doaj.org/article/b8d65dbf411a430d8f502887fb815aff
Publikováno v:
AI Open, Vol 4, Iss , Pp 98-110 (2023)
Continual learning aims to avoid catastrophic forgetting and effectively leverage learned experiences to master new knowledge. Existing gradient projection approaches impose hard constraints on the optimization space for new tasks to minimize interfe
Externí odkaz:
https://doaj.org/article/ba5ffdf47c1f4922ae01da8f7045bbe6
Publikováno v:
AI Open, Vol 1, Iss , Pp 5-21 (2020)
Machine translation (MT) is an important sub-field of natural language processing that aims to translate natural languages using computers. In recent years, end-to-end neural machine translation (NMT) has achieved great success and has become the new
Externí odkaz:
https://doaj.org/article/4f9a59f86d16415d94360ef522012e24
Autor:
Zhiyu Yang, Zonghan Yang
Publikováno v:
BCP Business & Management. 38:1220-1225
The COVID-19 pandemic has severely damaged the global economy system. In China, the metal industry is playing a key role in the reconstruction of the economy. This paper is using SWOT analysis to analyze the current situation faced by the metal indus
Autor:
Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun
Publikováno v:
Nature Machine Intelligence. 5:220-235
With the prevalence of pre-trained language models (PLMs) and the pre-training–fine-tuning paradigm, it has been continuously shown that larger models tend to yield better performance. However, as PLMs scale up, fine-tuning and storing all the para
Publikováno v:
Physical Therapy in Sport. 58:68-73
To determine whether individuals with and without Chronic Ankle Instability (CAI) can improve their ankle movement discrimination sensitivity by repeated exposure to an ankle proprioceptive task requiring landing.A repeated-measures study.University
Ankle Inversion Proprioception Impairment in Persons with Chronic Ankle Instability Is Task-Specific
Publikováno v:
Perceptual and Motor Skills. 129:1736-1748
While investigators have often compared ankle proprioception between groups with and without chronic ankle instability (CAI), findings have been inconsistent. Possibly this is because ankle proprioceptive impairment in this population is task-specifi
Publikováno v:
2022 4th World Symposium on Artificial Intelligence (WSAI).
Autor:
Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun
Despite the success, the process of fine-tuning large-scale PLMs brings prohibitive adaptation costs. In fact, fine-tuning all the parameters of a colossal model and retaining separate instances for different tasks are practically infeasible. This ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12c5d95f45db184f16132a0aaf0c00cd
Publikováno v:
2021 5th International Conference on E-Business and Internet.