A5013479932- Complex Network Analysis Techniques
- Advanced Graph Neural Networks
- Diamond and Carbon-based Materials Research
- Carbon Nanotubes in Composites
- Music and Audio Processing
- Graphene research and applications
- Advanced Vision and Imaging
- Music Technology and Sound Studies
- Speech and Audio Processing
- Advancements in Battery Materials
- Text and Document Classification Technologies
- Advanced Neural Network Applications
- Metal and Thin Film Mechanics
- Advanced Image and Video Retrieval Techniques
- Stock Market Forecasting Methods
- Opinion Dynamics and Social Influence
- Virtual Reality Applications and Impacts
- 3D Shape Modeling and Analysis
- Coagulation and Flocculation Studies
- Indoor and Outdoor Localization Technologies
- Recommender Systems and Techniques
- Remote Sensing and LiDAR Applications
- Aeolian processes and effects
- Domain Adaptation and Few-Shot Learning
- Human Pose and Action Recognition
Loughborough University
2023-2024
First Affiliated Hospital of Xi'an Jiaotong University
2024
Zhejiang University
2018-2024
University of Electronic Science and Technology of China
2024
Sichuan University
2022-2023
State Key Laboratory of Oral Diseases
2022-2023
Coventry University
2015-2022
Inner Mongolia Autonomous Region Meteorological Bureau
2021
Ningbo Institute of Industrial Technology
2019-2020
Chinese Academy of Sciences
2019-2020
This paper introduces an extremely efficient CNN architecture named DFANet for semantic segmentation under resource constraints. Our proposed network starts from a single lightweight backbone and aggregates discriminative features through sub-network sub-stage cascade respectively. Based on the multi-scale feature propagation, substantially reduces number of parameters, but still obtains sufficient receptive field enhances model learning ability, which strikes balance between speed...
A Pyramid Attention Network(PAN) is proposed to exploit the impact of global contextual information in semantic segmentation. Different from most existing works, we combine attention mechanism and spatial pyramid extract precise dense features for pixel labeling instead complicated dilated convolution artificially designed decoder networks. Specifically, introduce a Feature module perform structure on high-level output combining pooling learn better feature representation, Global Upsample...
Community detection is one of the popular research topics in field complex networks analysis. It aims to identify communities, represented as cohesive subgroups or clusters, where nodes same community link each other more densely than others outside. Due interpretability, simplicity, flexibility, and generality, nonnegative matrix factorization (NMF) has become a very ideal model for lots related methods have been presented. To facilitate on NMF-based detection, this article, we make...
Community detection is of great help to understand the structures and functions complex networks. It has become one popular research topics in field networks analysis. Due simplicity, flexibility, effectiveness better interpretability, Nonnegative Matrix Factorization (NMF)-based methods have been widely employed for community detection. However, most existing NMF-based are linear their performance limited when facing with diversified structure information. In view this, we propose a...
According to the World Health Organization, around 28-35% of people aged 65 and older fall each year. This number increases 32-42% for over 70 years old. For this reason, research targets exploration role Convolutional Neural Networks(CNN) in human detection. There are a current solutions related detection; however, remain low detection accuracy. Although CNN has proven powerful technique image recognition problems, library Matlab was designed work with either images or matrices, explored...
Inland lakes play important roles in water and greenhouse gas cycling the environment. This study aims to test performance of a flux-gradient system for simultaneous measurement fluxes vapor, CO2, CH4 at lake–air interface. The concentration gradients over surface were measured with an analyzer based on wavelength-scanned cavity ring-down spectroscopy technology, eddy diffusivity was sonic anemometer. Results zero-gradient indicate flux precision 4.8 W m–2 0.010 mg s–1 0.029 μg CH4. During...
This paper introduces an extremely efficient CNN architecture named DFANet for semantic segmentation under resource constraints. Our proposed network starts from a single lightweight backbone and aggregates discriminative features through sub-network sub-stage cascade respectively. Based on the multi-scale feature propagation, substantially reduces number of parameters, but still obtains sufficient receptive field enhances model learning ability, which strikes balance between speed...
Background In dental clinical practice, self-perception of orofacial appearance is highly correlated with treatment satisfaction. Therefore, it important to explore factors appearance. Perfectionism may be one such factor. This study investigated the role perfectionism in Methods Participants completed an online questionnaire that included demographic data, a measure perfectionism, (including body image, smile concern, and self-esteem), anxiety depression. Results High scores significantly...
Summary Online social networks (OSNs) have become more and popular attracted a great many users. Friend recommendation, which is one of the important services in OSN, can help users discover their interested friends alleviate problem information overload. However, most existing recommendation methods only consider either user link or content hence are not effective enough to provide high quality recommendations. In this paper, we propose topic community‐based method via Nonnegative Matrix...
Abstract Differences between the business environment in home country and host are an important factor when enterprises consider their location choice with regard to outward foreign direct investment (OFDI). However, this is ignored by much existing literature. Based on trade‐off framework of international firms exporting participation OFDI under condition heterogeneous enterprises, paper constructs a theoretical model impact distance doing (DDB) OFDI. We take China's as example use World...