Yanan Zhao

A Study on Infrared Jamming Devices and Decoys and Artificial Water Fog Jamming Countermeasures

Jian Chen, Li Wang, Rong Wang, Yanan Zhao

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Graph Distribution-Valued Signals: A Wasserstein Space Perspective

Yanan Zhao, Feng Ji, Xingchao Jian, Wee Peng Tay

We introduce a novel framework for graph signal processing (GSP) that models signals as graph distribution-valued signals (GDSs), which are probability distributions in the Wasserstein space. This approach overcomes key limitations of classical vector-based GSP, including the assumption of synchronous observations over …

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Adaptive Multi-view Graph Contrastive Learning via Fractional-order Neural Diffusion Networks

Yanan Zhao, Feng Ji, Jingyang Dai, Jiaze Ma et autres

Graph contrastive learning (GCL) learns node and graph representations by contrasting multiple views of the same graph. Existing methods typically rely on fixed, handcrafted views-usually a local and a global perspective, which limits their ability to capture multi-scale structural patterns. We present …

Distance-Based Laplacian Algebra for Effective Subgraph Filter Learning

Purui Zhang, Feng Ji, Yanan Zhao, Wee Peng Tay et autres

Graph signal processing tasks that leverage spectral information—such as filter learning—typically assume access to the complete graph topology or its graph shift operator. However, in many practical scenarios, only a subset of graph vertices is accessible. We propose a novel framework for …

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Personalized Subgraph Federated Learning with Sheaf Collaboration

Wenfei Liang, Yanan Zhao, Rui She, Yiming Li et autres

Graph-structured data is prevalent in many applications. In subgraph federated learning (FL), this data is distributed across clients, each with a local subgraph. Personalized subgraph FL aims to develop a customized model for each client to handle diverse data distributions. However, performance …

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Foreground-background separation based on homologous signal matching and superposition in motion camera scenes

Chen Zeng, Yanan Zhao, Weixian Qian

To address the challenge of foreground target detection caused by dynamic background displacement in sports camera scenarios, this paper proposes a robust separation algorithm based on homologous signal matching and multi-frame superposition. By introducing the SURF (Speeded-Up Robust Features) algorithm for rapid …

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MeP Induces Metabolic Disorder and Liver Damage at Human-Relevant Exposure Levels: Role of the Gut Microbiota

Henglin Zhang, Yanan Zhao, Haitao Tu, Yuxian Liu et autres

Methylparaben (MeP) is a widely used preservative found in many consumer products that leads to extensive human exposure. Despite some health concerns, our understanding of MeP's effects on metabolic homeostasis remains limited. This study investigated the effects of MeP on body growth, …

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Molecular Mechanisms of Perivascular Macrophages in Alzheimer’s Disease: Insights from Single-Cell Sequencing and Mendelian Randomization

Min Zhang, Shufang Liu, Yanan Zhao, Ping Wu et autres

Alzheimer's disease (AD) is a leading cause of dementia characterized by neuroinflammation and immune dysregulation. Perivascular macrophages (PVMs) play a crucial role in the onset and progression of AD, yet the specific molecular mechanisms remain understudied. This study explored the molecular mechanisms …

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Artificial intelligence in the promotion of human well-being: Current trends and future directions

Yanan Zhao, Pei Sun

In this article, we examined the evolving interaction between artificial intelligence (AI) and human well-being across multiple domains. Specifically, we explored how AI technologies are increasingly functioning as extensions of human capabilities rather than replacements, creating new opportunities for promoting a better …

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Simple Graph Contrastive Learning via Fractional-order Neural Diffusion Networks

Yanan Zhao, Feng Ji, Kai Zhao, Xuhao Li et autres

Graph Contrastive Learning (GCL) has recently made progress as an unsupervised graph representation learning paradigm. GCL approaches can be categorized into augmentation-based and augmentation-free methods. The former relies on complex data augmentations, while the latter depends on encoders that can generate distinct …

Stage-discharge rating curves using satellite radar altimetry

Liguang Jiang, Yanan Zhao

River discharge is a fundamental quantity that is required to improve our understanding of the hydrological cycle and to inform flood, drought, and water resources management (Gerten et al., 2008; Rajsekhar and Gorelick, 2017; Rao et al., 2020). Discharge monitoring plays a …

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A fast iterative thresholding and support-and-scale shrinking algorithm (fits3) for non-lipschitz group sparse optimization (i): the case of least-squares fidelity

Yanan Zhao, Qiao‐Li Dong, Yufei Zhao, Chunlin Wu

We consider to design a new efficient and easy-to-implement algorithm to solve a general group sparse optimization model with a class of non-convex non-Lipschitz regularizations, named as fast iterative thresholding and support-and-scale shrinking algorithm (FITS3). In this paper we focus on the …