Zobrazeno 1 - 10
of 721
pro vyhledávání: '"Li, Hongming"'
We introduce LexBench, a comprehensive evaluation suite enabled to test language models (LMs) on ten semantic phrase processing tasks. Unlike prior studies, it is the first work to propose a framework from the comparative perspective to model the gen
Externí odkaz:
http://arxiv.org/abs/2405.02861
Publikováno v:
CVPR2024
A versatile medical image segmentation model applicable to images acquired with diverse equipment and protocols can facilitate model deployment and maintenance. However, building such a model typically demands a large, diverse, and fully annotated da
Externí odkaz:
http://arxiv.org/abs/2311.10696
To achieve fast, robust, and accurate reconstruction of the human cortical surfaces from 3D magnetic resonance images (MRIs), we develop a novel deep learning-based framework, referred to as SurfNN, to reconstruct simultaneously both inner (between w
Externí odkaz:
http://arxiv.org/abs/2303.02922
Autor:
LI Hongming
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 6, Pp 301-304 (2024)
Objective On the fully automatic operation metro lines, there exists a gap between the platform screen door and the train, leading to the risk of clamping people and objects. In order to ensure train operation safety, a gap detection device must be i
Externí odkaz:
https://doaj.org/article/ed06f2d263df48b4b4f88ebabf44d715
Conventional survival analysis methods are typically ineffective to characterize heterogeneity in the population while such information can be used to assist predictive modeling. In this study, we propose a hybrid survival analysis method, referred t
Externí odkaz:
http://arxiv.org/abs/2301.11826
The Cauchy-Schwarz (CS) divergence was developed by Pr\'{i}ncipe et al. in 2000. In this paper, we extend the classic CS divergence to quantify the closeness between two conditional distributions and show that the developed conditional CS divergence
Externí odkaz:
http://arxiv.org/abs/2301.08970
We propose causal recurrent variational autoencoder (CR-VAE), a novel generative model that is able to learn a Granger causal graph from a multivariate time series x and incorporates the underlying causal mechanism into its data generation process. D
Externí odkaz:
http://arxiv.org/abs/2301.06574
Experimental and theoretical study on compressive mechanical properties of GFRP-steel composite bars
Autor:
Chen, Wei, Liu, Feng, Zhen, Hao, Wu, Baolong, Li, Hongming, Wu, Zhichao, Huang, Jian, Zhu, Huanyu, Xiong, Zhe, Li, Lijuan
Publikováno v:
In Journal of Building Engineering 1 November 2024 96
Autor:
Chen, Lianru, Wang, Bin, Li, Hongming, Mao, Jianming, Liang, Zhiling, Chen, Ya, Yu, Mingyang, Liu, Yuxia, Liao, Zibin, Yang, Yuanqian, Wu, Xiaojing, Wang, Huazheng, Yang, Yonghong, Xiang, Ruojing, Zhang, Luyong, Li, Zheng
Publikováno v:
In European Journal of Medicinal Chemistry 5 October 2024 276
Autor:
Ma, Zhao, Li, Hongming, Shen, Yufeng, Xu, Jingpan, Chen, Xi, Wu, Mengyuan, Yang, Lijuan, Liu, Feng, Hao, Runlong, Wang, Lidong
Publikováno v:
In Separation and Purification Technology 19 February 2025 354 Part 4