Explanipedia

Digital convergence in pediatric sepsis: augmenting translation through AI and digital twins (Correspondence) Open

Xin Yang, Hong Luo, Ruyu Yang · 2025

FE-Kriging A Feature-Enhanced Spatiotemporal Model for PM2.5 Exposure Assessment with Environmental Equity Implications in Chengdu Open

Yanbin Gao, yining zhang, Donglin Sun, Xin Yang · 2025

Long-term exposure to spatially heterogeneous PM2.5 concentrations threatens urban public health and environmental equity. While spatial dynamic weighted kriging methods have been widely adopted for PM2.5 exposure assessment, their accurac…

Ten Challenging Problems in Federated Foundation Models Open

Tao Fan, Hanlin Gu, Xuemei Cao, Chee Seng Chan, Qian Chen , et al. · 2025

Federated Foundation Models (FedFMs) represent a distributed learning paradigm that fuses general competences of foundation models as well as privacy-preserving capabilities of federated learning. This combination allows the large foundati…

Damage imaging in structural health monitoring with fine-tuned conditional diffusion model Open

Xin Yang, Sergio Cantero‐Chinchilla, Morteza Moradi, Panagiotis Komninos, Fang Chen , et al. · 2025

Multi-Source Remote Sensing Data for Wetland Information Extraction: A Case Study of the Nanweng River National Wetland Reserve Open

Hao Yu, Shicheng Li, Liang Zhi-min, Shengnan Xu, Xin Yang , et al. · 2024

Wetlands play a vital role in regulating the global carbon cycle, providing biodiversity, and reducing flood risks. These functions maintain ecological balance and ensure human well-being. Timely, accurate monitoring of wetlands is essenti…

Spatial coherent manipulation of Bessel-like vector vortex beam in atomic vapor Open

Xinji Zeng, Zhuang Li, Xin Yang, Jianyi Xu, Jinwen Wang , et al. · 2024

The interaction between vector beams and atoms under a weak magnetic field could induce spatially dependent electromagnetically induced transparency (EIT). Based on such a coherence effect, we propose a method for manipulating vector beams…

Moment inequalities for mixing long-span high-frequency data and strongly consistent estimation of OU integrated diffusion process Open

Shanchao Yang, Jiaying Xie, Shuyi Luo, Zhiyong Li, Xin Yang · 2023

Mixing is not much used in the high-frequency literature so far. However, mixing is a common weakly dependent property of continuous and discrete stochastic processes, such as Gaussian, Ornstein–Uhlenberck (OU), Vasicek, CIR, CKLS, logisti…

A Layout Method of Space-Based Pseudolite System Based on GDOP Geometry Open

Xin Yang, Feixue Wang, Wenxiang Liu, Wei Xiao, Xiaozhou Ye · 2023

The pseudolite system can be used to provide positioning and timing service for users in a specific area. In order to provide better positioning and timing service, a good geometric configuration needs to be formed for the pseudolite syste…

FreeCOS: Self-Supervised Learning from Fractals and Unlabeled Images for Curvilinear Object Segmentation Open

Tianyi Shi, Xiaohuan Ding, Liang Zhang, Xin Yang · 2023

Curvilinear object segmentation is critical for many applications. However, manually annotating curvilinear objects is very time-consuming and error-prone, yielding insufficiently available annotated datasets for existing supervised method…

The effect of endothelial progenitor cell transplantation on neointimal hyperplasia and reendothelialisation after balloon catheter injury in rat carotid arteries Open

Wei Wang, Yingqian Zhang, Hui Hui, Wei Tong, Zechen Wei , et al. · 2021

CPT: Efficient Deep Neural Network Training via Cyclic Precision Open

Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding , et al. · 2021

Low-precision deep neural network (DNN) training has gained tremendous attention as reducing precision is one of the most effective knobs for boosting DNNs' training time/energy efficiency. In this paper, we attempt to explore low-precisio…

Highly sensitive magnetic particle imaging of vulnerable atherosclerotic plaque with active myeloperoxidase-targeted nanoparticles Open

Wei Tong, Hui Hui, Wenting Shang, Yingqian Zhang, Feng Tian , et al. · 2020

Inflammation is a pivotal driver of atherosclerotic plaque progression and rupture and is a target for identifying vulnerable plaques. However, challenges arise with the current in vivo imaging modalities for differentiating vulnera…

Deep pyramid local attention neural network for cardiac structure segmentation in two-dimensional echocardiography Open

Fei Liu, Kun Wang, Dan Liu, Xin Yang, Jie Tian · 2020

Automatic semantic segmentation in 2D echocardiography is vital in clinical practice for assessing various cardiac functions and improving the diagnosis of cardiac diseases. However, two distinct problems have persisted in automatic segmen…

Deep Learning for Virtual Histological Staining of Bright-Field Microscopic Images of Unlabeled Carotid Artery Tissue Open

Dan Li, Hui Hui, Yingqian Zhang, Wei Tong, Feng Tian , et al. · 2020

Domain Transform Network for Photoacoustic Tomography from Limited-view and Sparsely Sampled Data Open

Tong Tong, Wenhui Huang, Kun Wang, Zicong He, Lin Yin , et al. · 2020

K-Nearest Neighbor Based Locally Connected Network for Fast Morphological Reconstruction in Fluorescence Molecular Tomography Open

Hui Meng, Yuan Gao, Xin Yang, Kun Wang, Jie Tian · 2020

Fluorescence molecular tomography (FMT) is a highly sensitive and noninvasive imaging modality for three-dimensional visualization of fluorescence probe distribution in small animals. However, the simplified photon propagation model and il…

Adaptive Densely Connected Super-Resolution Reconstruction Open

Tangxin Xie, Xin Yang, Yu Jia, Chen Zhu, Xiaochuan Li · 2019

For a better performance in single image super-resolution(SISR), we present an image super-resolution algorithm based on adaptive dense connection (ADCSR). The algorithm is divided into two parts: BODY and SKIP. BODY improves the utilizati…

In vivo three-dimensional evaluation of tumour hypoxia in nasopharyngeal carcinomas using FMT-CT and MSOT Open

Wenhui Huang, Kun Wang, Yu An, Hui Meng, Yuan Gao , et al. · 2019

AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results Open

Shuhang Gu, Martin Danelljan, Radu Timofte, Muhammad Haris, Kazutoshi Akita , et al. · 2019

2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 27-28 October 2019, Seoul, Korea (South)

Research on extraction and reproduction of deformation camouflage spot based on generative adversarial network model Open

Xin Yang, Weidong Xu, Qi Jia, Ling Li, Wannian Zhu , et al. · 2019

The method of describing deformation camouflage spots based on feature space has some shortcomings, such as inaccurate description and difficult reproduction. Depending on the strong fitting ability of the generative adversarial network mo…

MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning Open

Zechun Liu, Haoyuan Mu, Xiangyu Zhang, Zichao Guo, Xin Yang , et al. · 2019

In this paper, we propose a novel meta learning approach for automatic channel pruning of very deep neural networks. We first train a PruningNet, a kind of meta network, which is able to generate weight parameters for any pruned structure …

Multiscale imaging of colitis in mice using confocal laser endomicroscopy, light-sheet fluorescence microscopy, and magnetic resonance imaging Open

Tianmeng Li, Hui Hui, C. Y. Hu, He Ma, Xin Yang , et al. · 2019

The objective of our study is to develop a multimodality approach by combining magnetic resonance imaging (MRI) and optical imaging methods to assess acute murine colitis at the macro- and microscopic level. In vivo MRI is used to measure …

The Rate of Asymptotic Normality of Frequency Polygon Density Estimation for Spatial Random Fields Open

Shanchao Yang, Xin Yang, Guodong Xing, Yongming Li · 2018

This paper is to investigate the convergence rate of asymptotic normality of frequency polygon estimation for density function under mixing random fields, which include strongly mixing condition and some weaker mixing conditions. A Berry-E…

Multimodality Molecular Imaging-Guided Tumor Border Delineation and Photothermal Therapy Analysis Based on Graphene Oxide-Conjugated Gold Nanoparticles Chelated with Gd Open

Xibo Ma, Yushen Jin, Yi Wang, Shuai Zhang, Dong R. Peng , et al. · 2018

Tumor cell complete extinction is a crucial measure to evaluate antitumor efficacy. The difficulties in defining tumor margins and finding satellite metastases are the reason for tumor recurrence. A synergistic method based on multimodalit…

Intracerebral haemorrhage-induced injury progression assessed by cross-sectional photoacoustic tomography Open

Jinge Yang, Dan Wu, Guang Zhang, Yuan Zhao, Max Jiang , et al. · 2017

In this study, we in vivo examined injury progression after intracerebral haemorrhage (ICH) induced by collagenase in mice using cross-sectional photoacoustic tomography (csPAT). csPAT displayed high resolution with high sensitivity for IC…

Hybrid particle swarm optimization and semi-supervised extreme learning machine for cellular network localization Open

Fagui Liu, Hengrui Qin, Xin Yang, Yi Yu · 2017

The research of localization technology based on received signal strength and machine learning has recently attracted a lot of attentions, since with the help of enough labeled training data this technology is able to achieve high position…

Stripe artifact elimination based on nonsubsampled contourlet transform for light sheet fluorescence microscopy Open

Xiao Liang, Yali Zang, Di Dong, Liwen Zhang, Mengjie Fang , et al. · 2016

Stripe artifacts, caused by high-absorption or high-scattering structures in the illumination light path, are a common drawback in both unidirectional and multidirectional light sheet fluorescence microscopy (LSFM), significantly deteriora…

Enhanced immunotherapy of SM5-1 in hepatocellular carcinoma by conjugating with gold nanoparticles and its in vivo bioluminescence tomographic evaluation Open

Xibo Ma, Hui Hui, Yushen Jin, Di Dong, Xiaolong Liang , et al. · 2016

SM5-1 is a humanized mouse monoclonal antibody, targeting an over-expressed membrane protein of approximately 230 kDa in hepatocellular carcinoma (HCC). SM5-1 can be used for target therapy in hepatocellular carinoma due to its ability of …

Polarization-sensitive optical projection tomography for muscle fiber imaging Open

Mengjie Fang, Di Dong, Chaoting Zeng, Xiao Liang, Xin Yang , et al. · 2016

Optical projection tomography (OPT) is a tool used for three-dimensional imaging of millimeter-scale biological samples, with the advantage of exhibiting isotropic resolution typically in the micron range. OPT can be divided into two types…

Multispectral hybrid Cerenkov luminescence tomography based on the finite element SPn method Open

Haixiao Liu, Xin Yang, Tianming Song, Chengpeng Bao, Liangliang Shi , et al. · 2015

Cerenkov luminescence tomography (CLT) is a promising tool that enables three-dimensional noninvasive in vivo detection of radiopharmaceuticals. Conventionally, multispectral information and diffusion theory were introduced to achieve whol…

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