Zobrazeno 1 - 10
of 179
pro vyhledávání: '"Wang Ruyu"'
This study delves into equilibrium problems, focusing on the identification of finite solutions for feasible solution sequences. We introduce an innovative extension of the weak sharp minimum concept from convex programming to equilibrium problems, c
Externí odkaz:
http://arxiv.org/abs/2401.06351
Recent deep generative models (DGMs) such as generative adversarial networks (GANs) and diffusion probabilistic models (DPMs) have shown their impressive ability in generating high-fidelity photorealistic images. Although looking appealing to human e
Externí odkaz:
http://arxiv.org/abs/2311.03959
We propose a distributionally robust index tracking model with the conditional value-at-risk (CVaR) penalty. The model combines the idea of distributionally robust optimization for data uncertainty and the CVaR penalty to avoid large tracking errors.
Externí odkaz:
http://arxiv.org/abs/2309.05597
The task of few-shot GAN adaptation aims to adapt a pre-trained GAN model to a small dataset with very few training images. While existing methods perform well when the dataset for pre-training is structurally similar to the target dataset, the appro
Externí odkaz:
http://arxiv.org/abs/2308.09717
Autor:
Wang, Ruyu, Zhang, Chao
We propose a novel stochastic smoothing accelerated gradient (SSAG) method for general constrained nonsmooth convex composite optimization, and analyze the convergence rates. The SSAG method allows various smoothing techniques, and can deal with the
Externí odkaz:
http://arxiv.org/abs/2308.01252
Publikováno v:
Kouqiang yixue, Vol 44, Iss 10, Pp 791-795 (2024)
Berberine is a commonly used traditional Chinese medicine, which has the antimicrobial and anti-inflammatory properties. Ongoing investigations have identified berberine as an effective medicine for systemic diseases, such as cardiovascular diseases,
Externí odkaz:
https://doaj.org/article/36ce75fdfa0c442a8bb22b217dc067f3
Data-hunger and data-imbalance are two major pitfalls in many deep learning approaches. For example, on highly optimized production lines, defective samples are hardly acquired while non-defective samples come almost for free. The defects however oft
Externí odkaz:
http://arxiv.org/abs/2302.08366
Autor:
Kong, Tianxiang, Du, Pei, Ma, Renyi, Wang, Han, Ma, Xuehui, Lu, Jian, Gao, Zhengrong, Qi, Hai, Li, Ruiqi, Zhang, Hao, Xia, Fei, Liu, Yuanlang, Wang, Ruyu, Duan, Kai, Wang, Zejun, Wang, Qihui, Gao, George F.
Publikováno v:
In eBioMedicine November 2024 109
Autor:
Wang, Ruyu, Zhang, Chao
This paper considers a class of convex constrained nonsmooth convex stochastic composite optimization problems whose objective function is given by the summation of a differentiable convex component, together with a general nonsmooth but convex compo
Externí odkaz:
http://arxiv.org/abs/2112.03716
Autor:
Chen, Yiwei a, b, 1, Wang, Ruyu a, b, 1, Li, Xue a, b, Wang, Zhiying a, b, Cao, Baorui c, Du, Jinxin c, Deng, Tingting c, Han, Jinxiang a, b, Yang, Meina a, b, ⁎
Publikováno v:
In Heliyon 15 August 2024 10(15)