Zobrazeno 1 - 10
of 2 040
pro vyhledávání: '"WANG Xinran"'
Autor:
Liu Jinzhao, Chu Meiyao, Kuang Jiahui, Wang Xinran, Zhang Yijie, Wang Lutian, Xia Yimeng, Sun Yifan, Liu Xinxin, Li Jing, Li Jun, Zhu Ting
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 56, Pp 490-493 (2024)
Externí odkaz:
https://doaj.org/article/c8aad5c19cca468cb678e8d8c5250c04
Autor:
XU Lan, WANG Xinran
Publikováno v:
Jiaoshi jiaoyu xuebao, Vol 11, Iss 1, Pp 121-130 (2024)
As the "promotion or departure" policy becomes the mainstream system for faculty appointments in higher education institutions in China, the issue of rights and interests protection for public university teachers has become increasingly prominent and
Externí odkaz:
https://doaj.org/article/3fa1ffa9354842efa5c3cb3545210e70
Publikováno v:
Redai dili, Vol 42, Iss 6, Pp 889-901 (2022)
With urbanization, the influx of populations into economically developed large- and medium-sized cities, and the reality of high property prices are forcing the rental housing market to expand. The population, economy, and housing rental market inter
Externí odkaz:
https://doaj.org/article/cdf57698ad3d4dcbb8f97a57275d367c
Autor:
Li Taotao, Yang Yang, Zhou Liqi, Sun Wenjie, Lin Weiyi, Liu Lei, Zou Xilu, Gao Si, Nie Yuefeng, Shi Yi, Wang Xinran
Publikováno v:
National Science Open, Vol 2 (2023)
Single-crystalline transition metal dichalcogenides (TMD) films are of potential application in future electronics and optoelectronics. In this work, a halide vapor phase epitaxy (HVPE) strategy was proposed and demonstrated for the epitaxy of molybd
Externí odkaz:
https://doaj.org/article/2026c293752849a0a43868e8cd7cbd8c
Autor:
Wang, Xinran, Le, Qi, Ahmed, Ammar, Diao, Enmao, Zhou, Yi, Baracaldo, Nathalie, Ding, Jie, Anwar, Ali
Ensuring that generative AI systems align with human values is essential but challenging, especially when considering multiple human values and their potential trade-offs. Since human values can be personalized and dynamically change over time, the d
Externí odkaz:
http://arxiv.org/abs/2410.19198
Federated Learning (FL) is a collaborative machine learning framework that allows multiple users to train models utilizing their local data in a distributed manner. However, considerable statistical heterogeneity in local data across devices often le
Externí odkaz:
http://arxiv.org/abs/2409.04986
Autor:
Zhang, Haiwen, Yang, Zixi, Liu, Yuanzhi, Wang, Xinran, He, Zheqi, Liang, Kongming, Ma, Zhanyu
Currently, large vision-language models have gained promising progress on many downstream tasks. However, they still suffer many challenges in fine-grained visual understanding tasks, such as object attribute comprehension. Besides, there have been g
Externí odkaz:
http://arxiv.org/abs/2408.13898
Representing signals using coordinate networks dominates the area of inverse problems recently, and is widely applied in various scientific computing tasks. Still, there exists an issue of spectral bias in coordinate networks, limiting the capacity t
Externí odkaz:
http://arxiv.org/abs/2407.17834
Autor:
Zhang, Hanhao, Wei, Yuanhao, Li, Yuhao, Lin, Shengsheng, Wang, Jiarui, Taniguchi, Takashi, Watanabe, Kenji, Li, Jiangyu, Shi, Yi, Wang, Xinran, Shi, Yan, Fei, Zaiyao
The coupling of mechanical deformation and electrical stimuli at the nanoscale has been a subject of intense investigation in the realm of materials science. Recently, twisted van der Waals (vdW) materials have emerged as a platform to explore exotic
Externí odkaz:
http://arxiv.org/abs/2406.11442
A primary function of back-propagation is to compute both the gradient of hidden representations and parameters for optimization with gradient descent. Training large models requires high computational costs due to their vast parameter sizes. While P
Externí odkaz:
http://arxiv.org/abs/2404.13844