Zobrazeno 1 - 10
of 848
pro vyhledávání: '"Xu Jinhui"'
Publikováno v:
Xiehe Yixue Zazhi, Vol 15, Iss 2, Pp 382-386 (2024)
Ischemic stroke, a cerebrovascular disease with high incidence, high mortality, high disability rate and high recurrence rate, is an important cause of death and disability of middle-aged and elderly people in China, and imposes a huge burden to soci
Externí odkaz:
https://doaj.org/article/604d3c940d764d48806db327234d96e4
Publikováno v:
Xiehe Yixue Zazhi, Vol 15, Iss 1, Pp 153-159 (2024)
Chronic obstructive pulmonary disease (COPD), a respiratory disease characterized by inflammation due to neutrophil infiltration, has become the third leading cause of death worldwide. After the occurrence of COPD, the persistent accumulation of neut
Externí odkaz:
https://doaj.org/article/3618be8966e8496db9313b6b799e610e
Publikováno v:
矿业科学学报, Vol 8, Iss 1, Pp 115-126 (2023)
Phosphogypsum is a kind of industrial solid waste produced by wet phosphoric acid. Although there is an increase in the utilization rate of phosphogypsum, its consumption is limited. At present, it is still treated through accumulation, which will no
Externí odkaz:
https://doaj.org/article/8f3b9e2948544643a7c496a59d10acbc
To improve persistence diagram representation learning, we propose Multiset Transformer. This is the first neural network that utilizes attention mechanisms specifically designed for multisets as inputs and offers rigorous theoretical guarantees of p
Externí odkaz:
http://arxiv.org/abs/2411.14662
We study the problem of fitting the high dimensional sparse linear regression model with sub-Gaussian covariates and responses, where the data are provided by strategic or self-interested agents (individuals) who prioritize their privacy of data disc
Externí odkaz:
http://arxiv.org/abs/2410.13046
Machine Unlearning has emerged as a significant area of research, focusing on 'removing' specific subsets of data from a trained model. Fine-tuning (FT) methods have become one of the fundamental approaches for approximating unlearning, as they effec
Externí odkaz:
http://arxiv.org/abs/2410.03833
Complex networks, which are the abstractions of many real-world systems, present a persistent challenge across disciplines for people to decipher their underlying information. Recently, hyperbolic geometry of latent spaces has gained traction in netw
Externí odkaz:
http://arxiv.org/abs/2405.16928
Continual learning, focused on sequentially learning multiple tasks, has gained significant attention recently. Despite the tremendous progress made in the past, the theoretical understanding, especially factors contributing to catastrophic forgettin
Externí odkaz:
http://arxiv.org/abs/2405.17583
In this paper, we study a generalization of the classical Voronoi diagram, called clustering induced Voronoi diagram (CIVD). Different from the traditional model, CIVD takes as its sites the power set $U$ of an input set $P$ of objects. For each subs
Externí odkaz:
http://arxiv.org/abs/2404.18906
In this paper, we revisit the problem of sparse linear regression in the local differential privacy (LDP) model. Existing research in the non-interactive and sequentially local models has focused on obtaining the lower bounds for the case where the u
Externí odkaz:
http://arxiv.org/abs/2310.07367