Zobrazeno 1 - 10
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pro vyhledávání: '"Liu, Tiantian"'
Embeddings have become a cornerstone in the functionality of large language models (LLMs) due to their ability to transform text data into rich, dense numerical representations that capture semantic and syntactic properties. These embedding vector da
Externí odkaz:
http://arxiv.org/abs/2411.05034
In order to improve the task execution capability of home service robot, and to cope with the problem that purely physical robot platforms cannot sense the environment and make decisions online, a method for building digital twin system for home serv
Externí odkaz:
http://arxiv.org/abs/2309.05993
Autor:
Wang, Gongshu, Jiang, Ning, Ma, Yunxiao, Liu, Tiantian, Chen, Duanduan, Wu, Jinglong, Li, Guoqi, Liang, Dong, Yan, Tianyi
Structural magnetic resonance imaging (sMRI) has shown great clinical value and has been widely used in deep learning (DL) based computer-aided brain disease diagnosis. Previous approaches focused on local shapes and textures in sMRI that may be sign
Externí odkaz:
http://arxiv.org/abs/2306.05297
Pandemics often cause dramatic losses of human lives and impact our societies in many aspects such as public health, tourism, and economy. To contain the spread of an epidemic like COVID-19, efficient and effective contact tracing is important, espec
Externí odkaz:
http://arxiv.org/abs/2304.08838
Autor:
Liu, Tiantian1 (AUTHOR) eudora@mails.ccnu.edu.cn, Xu, Shuge2 (AUTHOR) xushuge@mail.bnu.edu.cn, Liu, Lin2 (AUTHOR) 202221240008@mail.bnu.edu.cn, Chen, Yue2 (AUTHOR) yue.chen2@alumnimail.pepperdine.edu, Li, Wangwang3 (AUTHOR) 2017101170003@whu.edu.cn
Publikováno v:
Behavioral Sciences (2076-328X). Oct2024, Vol. 14 Issue 10, p970. 18p.
Studies to compare the survival of two or more groups using time-to-event data are of high importance in medical research. The gold standard is the log-rank test, which is optimal under proportional hazards. As the latter is no simple regularity assu
Externí odkaz:
http://arxiv.org/abs/2210.13258
Autor:
Fang, Yu, Liu, Jiancheng, Zhang, Mingrui, Zhang, Jiasheng, Ma, Yidong, Li, Minchen, Hu, Yuanming, Jiang, Chenfanfu, Liu, Tiantian
Differentiable physics enables efficient gradient-based optimizations of neural network (NN) controllers. However, existing work typically only delivers NN controllers with limited capability and generalizability. We present a practical learning fram
Externí odkaz:
http://arxiv.org/abs/2206.02341
Autor:
Wang, Chunxia, Sun, Ting, Zhou, Yiping, Liu, Tiantian, Feng, Shuyun, Xiong, Xi, Fan, Jiao, Liang, Qiming, Cui, Yun, Zhang, Yucai
Publikováno v:
In Heliyon 15 November 2024 10(21)
Publikováno v:
In International Journal of Food Microbiology 2 November 2024 424
Publikováno v:
In Fuel 1 November 2024 375