A5034142221- Complex Network Analysis Techniques
- Advanced Graph Neural Networks
- Bioinformatics and Genomic Networks
- Gait Recognition and Analysis
- Complex Systems and Time Series Analysis
- Human Pose and Action Recognition
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
- Matrix Theory and Algorithms
- Data-Driven Disease Surveillance
- Tensor decomposition and applications
- Text and Document Classification Technologies
- Air Quality and Health Impacts
- Calpain Protease Function and Regulation
- Network Security and Intrusion Detection
- Autophagy in Disease and Therapy
- Hand Gesture Recognition Systems
- Healthcare and Environmental Waste Management
- Anomaly Detection Techniques and Applications
- Wound Healing and Treatments
- Advanced Computing and Algorithms
- Opinion Dynamics and Social Influence
- Dental Research and COVID-19
Huaibei Normal University
2017-2024
Utah Valley University
2023
Xuzhou University of Technology
2023
Shanghai Tenth People's Hospital
2019
Tongji University
2019
Lanzhou University of Finance and Economics
2018-2019
Lanzhou University
2018
Abstract Multiplex networks provide a powerful data structure for capturing diverse relationships among nodes, and the challenge of community detection within these has recently attracted considerable attention. We propose general flexible generative model—the Mixed Membership Multilayer Stochastic Block Model (MixMSBM), in which layers with meaningful similarities are grouped together. Within each layer group, share same mixed membership assignments nodes to communities, but distinct link...
Autophagy serves an important role in numerous diseases, as well infection and inflammation. Irreversible pulpitis (IP) is one of the most common inflammatory endodontic autophagy has been reported to regulate IP vitro. However, level pathogenic process vivo remains unknown. The aim current study was, thus, investigate levels autophagy‑associated proteins rats with vivo. A rat dental model was successfully constructed, five different time points (0, 1, 3, 5 7 days) were investigated....
In recent years, there has been renewed interest in developing methods for skeleton‐based human action recognition. this study, the challenging problem of similarity degree postures is addressed. Human posture described by screw motions between 3D rigid bodies, which can be seen as a relation matrix bodies (RMRB3D). A linear subspace, point Grassmannian manifold, spanned orthonormal basis RMRB3D. powerful way to compute researched solve geodesic distance points on manifold. Then...
Community detection remains a challenging research hotspot in network analysis. With the complexity of data structures increasing, multilayer networks, which entities interact through multiple types connections, prove to be effective describing complex networks. The layers may not share common community structure. In this paper, we propose joint method based on matrix factorization and spectral embedding recover groups only for but also nodes. Specifically, are grouped via with layer...
An important problem in network analysis is to identify significant communities. Most of the real-world data sets exhibit a certain topological structure between nodes and attributes describing them. In this paper, we propose new community detection criterion considering both structural similarities attribute similarities. The clustering method integrates cost node with information via normalized modularity. We show that joint can be formulated as spectral relaxation problem. proposed...
At the turn of 21st century, wide availability high-frequency data aroused an increasing demand for better modeling and statistical inference. A challenging problem in statistics econometrics is estimation integrated volatility matrix based on data. The existing estimators work well diffusion processes with micro-structural noise may get worse when jumps are considered. This paper proposes a novel presence jumps, noise, asynchronization. First, we adopt sub-sampling to synchronize Then, use...
The individuals of real-world networks participate in various types connections, each forming a layer multiplex networks. Link prediction is an important problem network analysis owing to its wide range practical applications, such as mining drug targets, recommending friends social networks, and exploring evolution mechanisms. A key issue link within how estimate the likelihood potential links predicted by leveraging both interlayer intralayer information. Several studies have shown that...
Identifying communities is an important problem in network analysis.Various approaches have been proposed the literature, but most of them either rely on topological structure or node attributes, with few integrating both aspects.Here we propose a community detection approach based spectral clustering combining information and attributes (SpcSA).Some may not describe are trying to detect correctly.These irrelevant can add noise lower overall accuracy detection.To determine how much each...
Community detection is an effective exploration technique for analyzing networks. Most of the network data not only describes connections nodes but also properties nodes. In this paper, we propose a community method collects relevant evidences from information node attributes and structure to assist task on node-attributed We find communities in framework semidefinite programming (SDP) method. practical applications, distribution some may be uncorrelated with or itself contain no as random...
A multilayer network is a useful representation for real-world complex systems in which multiple types of connections are formed between entities. Connections the same type form specific layer network. We propose novel framework predicting links target by taking into account interlayer structural information. The method depends on intuitive assumption that two node pairs tend to have similar connection patterns if these nodes similar. Further, prediction accuracy will be improved information...
<abstract><p>High-frequency financial data are becoming increasingly available and need to be analyzed under the current circumstances for market prices of stocks, currencies, risk analysis, portfolio management other instruments. An emblematic challenge in econometrics is estimating integrated volatility prices, i.e., quadratic variation log prices. Following this point, paper, we study estimation self-weighted volatility, generalized style by using intraday high-frequency with...
Air quality in dental clinics is critical, especially light of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) pandemic, given that professionals and patients are at risk regular exposure to aerosols bioaerosols clinics. High levels ultrafine particles (UFP) may be produced by procedures. This study aimed quantify concentrations a real multi-chair clinic compare UFP different The efficiency high-volume evacuator (HVE) reducing during procedures was also assessed. were...