- Advanced ceramic materials synthesis
- Aluminum Alloys Composites Properties
- Brain Tumor Detection and Classification
- Advanced Neural Network Applications
- Advanced materials and composites
- Medical Image Segmentation Techniques
- Adaptive Control of Nonlinear Systems
- Digital Imaging for Blood Diseases
- Bullying, Victimization, and Aggression
- Surface Treatment and Residual Stress
- Child and Adolescent Psychosocial and Emotional Development
- Machine Learning and ELM
- Industrial Vision Systems and Defect Detection
- Retinal Imaging and Analysis
- Career Development and Diversity
- Child Development and Digital Technology
- Hate Speech and Cyberbullying Detection
- Handwritten Text Recognition Techniques
- High-Temperature Coating Behaviors
- COVID-19 diagnosis using AI
- Glaucoma and retinal disorders
- Job Satisfaction and Organizational Behavior
- Advanced Computing and Algorithms
- Surface Roughness and Optical Measurements
- Stability and Control of Uncertain Systems
Shanghai Jiao Tong University
2013-2025
University of Shanghai for Science and Technology
2024
China Jiliang University
2024
Chang'an University
2023
Chinese Academy of Sciences
2009-2022
Shenyang Institute of Automation
2019-2022
University of Chinese Academy of Sciences
2016-2022
Institute of Psychology, Chinese Academy of Sciences
2017-2022
Czech Academy of Sciences, Institute of Psychology
2021-2022
Dublin City University
2022
Abstract A polyaniline/polystyrene composite film with a lotus‐leaf‐like structure is prepared via simple electrospinning method. The shows stable superhydrophobicity and conductivity, even in many corrosive solutions, such as acidic or basic solutions over wide pH range, also oxidizing solutions. special surface composition morphology are the two important aspects that induce unusual properties. polystyrene content can strongly influence of films, which thus display different...
The current study developed a psychometrically sound multidimensional measure of Internet addiction: the Chinese Addiction Inventory (CIAI). Data were collected from 1,029 undergraduate students 14 universities and colleges. initial sample was split randomly into two samples (N1 = 516; N2 513). An exploratory factor analysis (EFA) confirmatory (CFA) conducted on respectively. Findings EFA suggest that this assesses three dimensions conflicts, mood modification, dependence. Items in each...
Abstract With the rise of Web 2.0 platforms such as online social media, people’s private information, their location, occupation and even family is often inadvertently disclosed through discussions. Therefore, it important to detect unwanted privacy disclosures help alert people affected platform. In this paper, disclosure detection modeled a multi-label text classification (MLTC) problem, new model proposed construct an MLTC classifier for detecting disclosures. This takes post input...
Scene text information extraction plays an important role in many computer vision applications. Most features existing algorithms are only applicable to one stage (text detection or recognition), which significantly weakens the consistency end-to-end system, especially for complex Chinese texts. To tackle this challenging problem, we propose a novel structure feature extractor based on component detector (TSCD) layer and residual network Inspired by three-layer cognition model of human,...
Due to their location, malignant brain tumors are one of humanity's greatest killers, among these tumors, gliomas the most common. The early detection can contribute design proper treatment schemes and, thus, improve survival rate patients. However, it is a challenging task detect within complex structure brain. conventional artificial diagnosis time-consuming and relies on clinical experience radiologists. To more efficiently, this paper proposes noninvasive automatic system for based...
Abstract Myopia detection is significant for preventing irreversible visual impairment and diagnosing myopic retinopathy. To improve the efficiency accuracy, a Detection Network (MDNet) that combines advantages of dense connection Residual Squeeze‐and‐Excitation attention proposed in this paper to automatically detect myopia Optos fundus images. First, an automatic optic disc recognition method applied extract Regions Interest remove noise disturbances; then, data augmentation techniques are...
We aimed to examine sleep patterns and their association with depression behavior problems among Chinese adolescents in different grades. A cross-sectional study was conducted 10 cities of mainland China. total 8,998 (49.3% males) aged 9-20 years completed a self-administered questionnaire that included questions on patterns, depressive symptoms, problems, demographic characteristics. The percentage who slept less than 7 hr weekdays increased grade, while the weekends remained same. gap...
This study's aim was to investigate the associations among narcissism, Machiavellianism, callous and unemotional traits, cyberbullying perpetration 1,637 adolescents (M age = 13.53 years, 48% girls overall) from China, India, Japan. Adolescents completed questionnaires on dark triad of personality face-to-face bullying perpetration. Narcissism traits were related for Chinese Indian adolescents, as Machiavellianism adolescents. Gender did not moderate these associations. Our findings suggest...
Despite career construction theory attends to individual subjective and provides a useful lens study well-being, extant research has yielded limited insights into the mechanisms through which variables influence well-being. To address this important gap, present examined mediation model that links indicators of adaptivity (big-five personality approach/avoidance traits) psychological well-being (psychological flourishing life satisfaction) adaptability in sequent meaning (presence search for...