A5102923717- Multi-Criteria Decision Making
- Advanced Algebra and Logic
- Rough Sets and Fuzzy Logic
- Fuzzy Logic and Control Systems
- Fuzzy and Soft Set Theory
- Fuzzy Systems and Optimization
- Face and Expression Recognition
- Text and Document Classification Technologies
- Image Retrieval and Classification Techniques
- Anomaly Detection Techniques and Applications
- Data Mining Algorithms and Applications
- Advanced Image and Video Retrieval Techniques
- China's Socioeconomic Reforms and Governance
- Advanced Optimization Algorithms Research
- Optimization and Variational Analysis
- COVID-19 Clinical Research Studies
- Optimization and Mathematical Programming
- Artificial Immune Systems Applications
- Chinese history and philosophy
- Approximation Theory and Sequence Spaces
- SARS-CoV-2 and COVID-19 Research
- Blind Source Separation Techniques
- Machine Learning in Bioinformatics
- Network Security and Intrusion Detection
- Sparse and Compressive Sensing Techniques
Shandong University
2016-2025
Chongqing University
2020-2025
Chongqing Three Gorges University
2023-2025
Shaoxing University
2021-2024
Suzhou University of Science and Technology
2024
University of Jinan
2024
Chongqing Three Gorges Central Hospital
2019-2023
Shanghai Jiao Tong University
2020-2023
Chinese Academy of Social Sciences
2010-2023
Zhejiang Normal University
2013-2022
Abstract Background We aim to investigate the profile of acute antibody response in COVID-19 patients, and provide proposals for usage test clinical practice. Methods A multi-center cross-section study (285 patients) a single-center follow-up (63 were performed feature SARS-CoV-2. cohort 52 suspects 64 close contacts enrolled evaluate potentiality test. Results The positive rate IgG reached 100% around 20 days after symptoms onset. median day seroconversion both lgG IgM was 13 Seroconversion...
Recently, COVID-19 caused by the novel coronavirus SARS-CoV-2 has brought great challenges to world. More and more studies have shown that patients with severe may suffer from cytokine storm syndrome; however, there are few on its pathogenesis. Here we demonstrated coding protein open reading frame 8 (ORF8) acted as a contributing factor during infection. ORF8 could activate IL-17 signaling pathway promote expression of pro-inflammatory factors. Moreover, treatment IL17RA antibody protected...
Discovering causal relationships from observational data is a crucial problem and it has applications in many research areas. The PC algorithm the state-of-the-art constraint based method for discovery. However, runtime of algorithm, worst-case, exponential to number nodes (variables), thus inefficient when being applied high dimensional data, e.g., gene expression datasets. On another note, advancement computer hardware last decade resulted widespread availability multi-core personal...
BackgroundAdolescents and young adults might play a key role in the worldwide spread of Coronavirus Disease 2019 (COVID-19) because they are more likely to be involved overseas study, business, work, travel. However, epidemiological clinical characteristics remain unknown.MethodsWe collected demographic, epidemiological, data from 46 confirmed COVID-19 patients aged 10 35 years Chongqing Three Gorges Central Hospital. Several parameters, asymptomatic cases, transmission family members, at...
Anomaly analysis is of great interest to diverse fields, including data mining and machine learning, plays a critical role in wide range applications, such as medical health, credit card fraud, intrusion detection. Recently, significant number anomaly detection methods with variety types have been witnessed. This paper intends provide comprehensive overview the existing work on detection, especially for high dimensionalities mixed types, where identifying anomalous patterns or behaviours...
How to tackle high dimensionality of data effectively and efficiently is still a challenging issue in machine learning. Identifying anomalous objects from given has broad range real-world applications. Although many classical outlier detection or ranking algorithms have been witnessed during the past years, high-dimensional problem, as well size neighborhood, not yet attracted sufficient attention. The former may trigger distance concentration problem that distances observations space tend...
Abstract Background Adolescents and young adults might play a key role in the worldwide spread of Coronavirus Disease 2019 (COVID-19), because they are more involved overseas studying, business, working, travelling. However, epidemiological clinical characteristics them still unknown. Methods We collected data 46 confirmed COVID-19 patients aged 10 to 35 years from study hospital. The demographics, epidemiological, were collected. Several parameters, asymptomatic cases transmission their...
Multilabel learning has a wide range of potential applications in reality. It attracts great deal attention during the past years and been extensively studied many fields including image annotation text categorization. Although efforts have made for multilabel learning, there are two challenging issues remaining, i.e., how to exploit correlations tackle high-dimensional problems data. In this paper, an effective algorithm is developed classification with utilizing those data that relevant...
Identifying anomalies from data has attracted increasing attention in recent years due to its broad range of potential applications. Although many efforts have been made for anomaly detection, how effectively handle high-dimensional and exactly explore neighborhood information, a fundamental issue not yet received sufficient concerns. To circumvent these challenges, this article, we propose an effective detection method with representative neighbors data. Specifically, it projects the into...
One of the challenges in data mining is dimensionality data, which often very high and prevalent many domains, such as text categorization bio-informatics. The high-dimensionality may bring adverse situations to traditional learning algorithms. To cope with this issue, feature selection has been put forward. Currently, efforts have attempted field lots algorithms developed. In paper we propose a new method pick discriminative features by using information measurement. main characteristic our...