Zobrazeno 1 - 10
of 3 828
pro vyhledávání: '"LIU, Wenjing"'
Optical resonators have shown outstanding abilities to tailor chemical landscapes through enhanced light-matter interaction between confined optical modes and molecule vibrations. We propose a theoretical model to study cooperative vibrational strong
Externí odkaz:
http://arxiv.org/abs/2412.07593
Autor:
Gao, Wanling, Huang, Yunyou, Cui, Dandan, Yu, Zhuoming, Liu, Wenjing, Liang, Xiaoshuang, Zhao, Jiahui, Xie, Jiyue, Li, Hao, Ma, Li, Ye, Ning, Kang, Yumiao, Luo, Dingfeng, Pan, Peng, Huang, Wei, Liu, Zhongmou, Hu, Jizhong, Zhao, Gangyuan, Jiang, Chongrong, Huang, Fan, Wei, Tianyi, Tang, Suqin, Xia, Bingjie, Zhang, Zhifei, Zhan, Jianfeng
A profound gap persists between artificial intelligence (AI) and clinical practice in medicine, primarily due to the lack of rigorous and cost-effective evaluation methodologies. State-of-the-art and state-of-the-practice AI model evaluations are lim
Externí odkaz:
http://arxiv.org/abs/2407.08554
Autor:
Gao, Wanling, Liu, Yuan, Yu, Zhuoming, Cui, Dandan, Liu, Wenjing, Liang, Xiaoshuang, Zhao, Jiahui, Xie, Jiyue, Li, Hao, Ma, Li, Ye, Ning, Kang, Yumiao, Luo, Dingfeng, Pan, Peng, Huang, Wei, Liu, Zhongmou, Hu, Jizhong, Huang, Fan, Zhao, Gangyuan, Jiang, Chongrong, Wei, Tianyi, Zhang, Zhifei, Huang, Yunyou, Zhan, Jianfeng
Artificial Intelligence (AI) plays a crucial role in medical field and has the potential to revolutionize healthcare practices. However, the success of AI models and their impacts hinge on the synergy between AI and medical specialists, with clinicia
Externí odkaz:
http://arxiv.org/abs/2406.07362
Publikováno v:
Journal of Knowledge Management, 2024, Vol. 28, Issue 10, pp. 3104-3128.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JKM-08-2023-0678
Autor:
Ji, Zhurun, Zhao, Yuzhou, Chen, Yicong, Zhu, Ziyan, Wang, Yuhui, Liu, Wenjing, Modi, Gaurav, Mele, Eugene J., Jin, Song, Agarwal, Ritesh
Studies of moire systems have elucidated the exquisite effect of quantum geometry on the electronic bands and their properties, leading to the discovery of new correlated phases. However, most experimental studies have been confined to a few layers i
Externí odkaz:
http://arxiv.org/abs/2312.10954
Autor:
Zhang, Haiyang, Liu, Wenjing, Kong, Xiangjie, Gao, Bo, Song, Yaonan, Plimmer, Mark, Pitre, Laurent
In our previous work [1], using indirect evaluation methods we concluded that the uncertainties of the second and the third density virial coefficient, B and C, of helium-4 at 5 K calculated by various authors had been overestimated. To check the rel
Externí odkaz:
http://arxiv.org/abs/2311.17765
Spin- and angle-resolved photoemission spectroscopy (SARPES) with high efficiency and resolution plays a crucial role in exploring the fine spin-resolved band structures of quantum materials. Here we report the performance of SARPES instrument with a
Externí odkaz:
http://arxiv.org/abs/2307.02293
Autor:
Huang, Yunyou, Liang, Xiaoshuang, Lu, Xiangjiang, Miao, Xiuxia, Xie, Jiyue, Liu, Wenjing, Zhang, Fan, Kang, Guoxin, Ma, Li, Tang, Suqin, Zhang, Zhifei, Zhan, Jianfeng
Although Alzheimer's disease (AD) cannot be reversed or cured, timely diagnosis can significantly reduce the burden of treatment and care. Current research on AD diagnosis models usually regards the diagnosis task as a typical classification task wit
Externí odkaz:
http://arxiv.org/abs/2307.00965
Autor:
Huang, Yunyou, Guan, Xianglong, Lu, Xiangjiang, Liang, Xiaoshuang, Miao, Xiuxia, Xie, Jiyue, Liu, Wenjing, Ma, Li, Tang, Suqin, Zhang, Zhifei, Zhan, Jianfeng
Alzheimer's disease (AD) cannot be reversed, but early diagnosis will significantly benefit patients' medical treatment and care. In recent works, AD diagnosis has the primary assumption that all categories are known a prior -- a closed-set classific
Externí odkaz:
http://arxiv.org/abs/2307.00936
Federated Semi-supervised Learning (FSSL) combines techniques from both fields of federated and semi-supervised learning to improve the accuracy and performance of models in a distributed environment by using a small fraction of labeled data and a la
Externí odkaz:
http://arxiv.org/abs/2303.11809