Xiao Liang

Nov 24, 2024 | mdpi.com | Qinghua Jiang |Yu ZHANG |Xiao Liang

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Oct 24, 2024 | biorxiv.org | Pei Liu |Xiao Liang |YUE LI |Jiawei Luo

AbstractSystematic investigation of high-order molecular interactions can deepen our understanding of the mechanisms underlying biological systems. However, effectively capturing both multilinear and nonlinear relationships to accurately identify the complex triplet relationships remains a challenge. In this paper, we present a novel Convolutinal Neural Tensor Completion (ConvNTC) to model triplet network connections. ConvNTC consists of a multilinear module and nonlinear module.

Jul 23, 2024 | opg.optica.org | Tingting Tang |Jie Li |Ying Gao |Xiao Liang

Circular dichroism (CD) spectrum and optical rotation (OR) spectrum, crucial for understanding molecular properties and configurations, present challenges due to limited testing methods and equipment accuracy in the ultraviolet (UV) region. This study proposes a weak measurement system for chiral signals in varying concentrations in the ultraviolet range, optimized using a deep neural network (DNN) model.

Jun 15, 2024 | nature.com | Xiao Liang

AbstractRecently, ConvNeXt and blueprint separable convolution (BSConv) constructed from standard ConvNet modules have demonstrated competitive performance in advanced computer vision tasks. This paper proposes an efficient model (BCRN) based on BSConv and the ConvNeXt residual structure for single image super-resolution, which achieves superior performance with very low parametric numbers.

Feb 6, 2024 | mdpi.com | Qinghua Jiang |Xiao Liang |Yu ZHANG

All articles published by MDPI are made immediately available worldwide under an open access license. No specialpermission is required to reuse all or part of the article published by MDPI, including figures and tables. Forarticles published under an open access Creative Common CC BY license, any part of the article may be reused withoutpermission provided that the original article is clearly cited. For more information, please refer tohttps://www.mdpi.com/openaccess.