A5101427060- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Recommender Systems and Techniques
- Advanced Graph Neural Networks
- Bone Tissue Engineering Materials
- Privacy-Preserving Technologies in Data
- Advanced Image and Video Retrieval Techniques
- Conducting polymers and applications
- Network Security and Intrusion Detection
- Organic Electronics and Photovoltaics
- Remote-Sensing Image Classification
- Bioinformatics and Genomic Networks
- Organic Light-Emitting Diodes Research
- Domain Adaptation and Few-Shot Learning
- Data Management and Algorithms
- Metaheuristic Optimization Algorithms Research
- Text and Document Classification Technologies
- Additive Manufacturing and 3D Printing Technologies
- Orthopaedic implants and arthroplasty
- Advanced Multi-Objective Optimization Algorithms
- Artificial Immune Systems Applications
- Graph Theory and Algorithms
- Advanced Bandit Algorithms Research
- Data Visualization and Analytics
- Advanced Neural Network Applications
Xidian University
2016-2025
Wuhan University of Technology
2022-2023
Institute of High Energy Physics
2023
Chinese Academy of Sciences
2023
Zhengzhou University
2022
Sun Yat-sen University
2021
Jiangsu University of Technology
2015
Beijing Normal University
2012
Mayo Clinic
2005-2010
University of Tennessee at Knoxville
2010
Stereolithography using photo-cross-linkable polymeric biomaterials is an effective technique for fabricating highly complex three-dimensional (3D) scaffolds with controlled microstructures tissue engineering applications. In this study, we have optimized the UV curable polymer solution composition and laser parameters stereolithography machine. Poly(propylene fumarate) (PPF) was used as biomaterial, diethyl fumarate (DEF) solvent, bisacrylphosphrine oxide (BAPO) photoinitiator. Three...
Poly(propylene fumarate) (PPF) is an injectable, biodegradable polymer that has been used for fabricating preformed scaffolds in tissue engineering applications because of situ crosslinking characteristics. Aiming understanding the effects pore structure parameters on bone ingrowth, 3-dimensional (3D) PPF with controlled architecture have produced this study from computer-aided design (CAD) models. We created original scaffold models 3 sizes (300, 600, and 900 µm) randomly closed 0%, 10%,...
We present enhanced cell ingrowth and proliferation through cross-linked three-dimensional (3D) nanocomposite scaffolds fabricated using poly(propylene fumarate) (PPF) hydroxyapatite (HA) nanoparticles. Scaffolds with controlled internal pore structures were produced from computer-aided design (CAD) models solid freeform fabrication (SFF) technique, while those random by a NaCl leaching technique for comparison. The morphology mechanical properties of characterized scanning electron...
A multiscale methodology using scanning and transmission electron microscope, synchrotron X-ray nano-tomography micro-tomography, small angle neutron scattering, in situ diffraction has been used, to reveal the effect of Fe-rich phases precipitates on mechanical behaviour an Al-Cu-Mn-Fe-Sc-Zr alloy. The α-Al grains size is reduced from 185.1 μm (0 MPa) 114.3 (75 by applied pressure. Moreover, it demonstrated that suitable heat treatments modify 3D morphology interconnected a disaggregated...
A novel self-cross-linkable and biodegradable macromer, poly(caprolactone fumarate) (PCLF), has been developed for guided bone regeneration. This macromer is a copolymer of fumaryl chloride, which contains double bonds in-situ cross-linking, poly(ε-caprolactone), flexible chain to facilitate self-cross-linkability. PCLF was characterized with Fourier transform infrared spectroscopy, 1H 13C nuclear magnetic resonance gel permeation chromatography. Porous scaffolds were fabricated sodium...
Image registration is an important preprocessing step for many remote sensing image processing applications, and its result will affect the performance of follow-up procedures. Establishing reliable matches a key issue in point matching-based registration. Due to significant intensity mapping difference between images, it may be difficult find enough correct from tentative matches. In this letter, particle swarm optimization (PSO) sample consensus algorithm proposed Different random (RANSAC)...
Federated learning has gained prominence as an effective solution for addressing data silos, enabling collaboration among multiple parties without sharing their data. However, existing federated algorithms often neglect the challenge posed by multi-modal distribution. Moreover, previous pioneering work face limitations in encrypting exponential and logarithmic operations of objective function with independent variables, they rely on a third-party cooperator encryption. To address these...
The powerful deep learning models in remote sensing are inseparable from the support of massive data. However, privacy and sensitivity data (RSD) restrict possibility each party to collaboratively train share a large general model. Although multi-party (MPL) is feasible solution, it difficult for existing MPL methods uniformly process different tasks (RSTs), held by non-independent identically distributed, heterogeneous multi-sources. Therefore, urgent explore solution personalized...
The existing few-shot scene classification (FSSC) algorithms have achieved satisfactory results, but they are limited by the paradigm of centralized machine learning, i.e., private remote sensing data need to be on a certain server for training. However, images generally contain sensitive information such as national security and company privacy, so it is realistically difficult collect from all parties. Therefore, there pressing requirement in FSSC novel achieve multi-party collaborative...
• Two circular-based models with cylindrical and spherical internal pore structures were designed. The porosity, surface area to volume ratio ( S p / V t ), compression/shear modulus, stress distribution, torsional rigidity, hydraulic permeability of two types unit cells comprehensively explored. precisely fabricated 3D printed scaffolds poly(propylene fumarate) (PPF) supplied an excellent platform systematically compare the simulative experimental results. present method can be extended...
X-ray tomography has been widely used in various research fields thanks to its capability of observing 3D structures with high resolution non-destructively. However, due the nonlinearity and inconsistency detector pixels, ring artifacts usually appear tomographic reconstruction, which may compromise image quality cause nonuniform bias. This study proposes a new artifact correction method based on residual neural network (ResNet) for tomography. The uses complementary information each wavelet...