Zobrazeno 1 - 10
of 595
pro vyhledávání: '"CHEN Yuyang"'
Publikováno v:
Shanghai yufang yixue, Vol 36, Iss 4, Pp 375-381 (2024)
ObjectiveTo understand the acceptance of sex-related behaviors， sexual safety awareness， and refusal skills among junior high school students and conduct association analysis， and to provide a reference for the implementation of sex and reprodu
Externí odkaz:
https://doaj.org/article/077b5ff1853b45958aff2f8c5d43e1c0
Deep Reinforcement Learning (DRL) has achieved remarkable success in solving complex decision-making problems by combining the representation capabilities of deep learning with the decision-making power of reinforcement learning. However, learning in
Externí odkaz:
http://arxiv.org/abs/2410.20487
Nowadays transformer-based Large Language Models (LLM) for code generation tasks usually apply sampling and filtering pipelines. Due to the sparse reward problem in code generation tasks caused by one-token incorrectness, transformer-based models wil
Externí odkaz:
http://arxiv.org/abs/2410.12236
For radio transients, an inverted spectrum (defined as $\alpha > 0$ for a power law spectrum $S_{\nu}\propto \nu^{\alpha}$) constrains physical properties, which in principle can be a useful criterion for selecting specific targets of interest in a t
Externí odkaz:
http://arxiv.org/abs/2410.06210
This paper studies a robust stochastic control problem with a monotone mean-variance cost functional and random coefficients. The main technique is to find the saddle point through two backward stochastic differential equations (BSDEs) with unbounded
Externí odkaz:
http://arxiv.org/abs/2408.08595
Publikováno v:
Di-san junyi daxue xuebao, Vol 41, Iss 8, Pp 757-762 (2019)
Objective To explore the pathogenic roles of Sp1/NCX1 pathway in acute pancreatitis (AP) induced by caerulein. Methods Pancreatic acinar AR42J cells were stimulated with caerulein to establish a cell model of AP. CCK8 assay was used to evaluate the c
Externí odkaz:
https://doaj.org/article/f98a073a14874b2dbe4ddd5f43f55fd6
Autor:
Chen, Yuyang, Luo, Peng
In this paper, we study non-homogeneous stochastic linear-quadratic (LQ) optimal control problems with multi-dimensional state and regime switching. We focus on the corresponding stochastic Riccati equation, which is the same as that one in homogeneo
Externí odkaz:
http://arxiv.org/abs/2404.00382
Autor:
Lin, Yi-Chien, Chen, Yuyang, Gobriel, Sameh, Jain, Nilesh, Jha, Gopi Krishna, Prasanna, Viktor
As Graph Neural Networks (GNNs) become popular, libraries like PyTorch-Geometric (PyG) and Deep Graph Library (DGL) are proposed; these libraries have emerged as the de facto standard for implementing GNNs because they provide graph-oriented APIs and
Externí odkaz:
http://arxiv.org/abs/2402.03671
In recent times, there is an increased interest in the identification and re-identification of people at long distances, such as from rooftop cameras, UAV cameras, street cams, and others. Such recognition needs to go beyond face and use whole-body m
Externí odkaz:
http://arxiv.org/abs/2309.12429
Autor:
Chen, Yuyang, Luo, Peng
This paper deals with the long time behavior of the optimal solution of stochastic backward linear-quadratic optimal control problem over the finite time horizon. Both weak and strong turnpike properties are established under appropriate conditions,
Externí odkaz:
http://arxiv.org/abs/2309.03456