Ying-ping Chen

ORCID: 0000-0002-5979-6926
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About
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Research Areas
  • Metaheuristic Optimization Algorithms Research
  • Evolutionary Algorithms and Applications
  • Advanced Multi-Objective Optimization Algorithms
  • Prenatal Screening and Diagnostics
  • Fetal and Pediatric Neurological Disorders
  • Artificial Intelligence in Games
  • Error Correcting Code Techniques
  • Advanced Wireless Communication Techniques
  • Music Technology and Sound Studies
  • Advanced Data Storage Technologies
  • Music and Audio Processing
  • Parvovirus B19 Infection Studies
  • IoT and Edge/Fog Computing
  • Cloud Computing and Resource Management
  • Genomic variations and chromosomal abnormalities
  • Algorithms and Data Compression
  • Distributed and Parallel Computing Systems
  • Stock Market Forecasting Methods
  • Caching and Content Delivery
  • Robotic Path Planning Algorithms
  • Imbalanced Data Classification Techniques
  • SARS-CoV-2 and COVID-19 Research
  • Optimal Power Flow Distribution
  • Electric Power System Optimization
  • Educational Technology and Assessment

National Yang Ming Chiao Tung University
2015-2025

Zhejiang Center for Disease Control and Prevention
2019-2025

Riverside Hospital of Guangxi Zhuang Autonomous Region
2024

Nanjing Medical University
2017-2024

Nanjing Maternity and Child Health Care Hospital
2018-2024

State Key Laboratory of Remote Sensing Science
2024

Beijing Normal University
2024

Institute of Remote Sensing and Digital Earth
2024

Jingzhou Maternal and Child Health Hospital
2022

Maternity and Children's Hospital
2021

In this paper, we try to improve the performance of particle swarm optimizer by incorporating linkage concept, which is an essential mechanism in genetic algorithms, and design a new identification technique called dynamic discovery address problem real-parameter optimization problems. Dynamic costless effective recognition that adapts configuration employing only selection operator without extra judging criteria irrelevant objective function. Moreover, recombination utilizes discovered...

10.1109/tsmcb.2007.904019 article EN IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) 2007-11-21

Objective To explore the feasibility of high-throughput massively parallel genomic DNA sequencing technology for noninvasive prenatal detection fetal sex chromosome aneuploidies (SCAs). Methods The study enrolled pregnant women who were prepared to undergo testing (NIPT) in second trimester. Cell-free (cffDNA) was extracted from mother's peripheral venous blood and a procedure undertaken. Patients identified as having pregnancies associated with SCAs offered chromosomal karyotyping. Results...

10.1177/0300060517695008 article EN cc-by-nc Journal of International Medical Research 2017-03-30

The concepts of linkage, building blocks, and problem decomposition have long existed in the genetic algorithm (GA) field guided development model-based GAs for decades. However, their definitions are usually vague, making it difficult to develop theoretical support. This paper provides an algorithm-independent definition describe concept linkage. With this definition, proves that any problems with a bounded degree linkage decomposable proper is possible via learning. way given also offers...

10.48550/arxiv.2501.10777 preprint EN arXiv (Cornell University) 2025-01-18

The Zagreb and Essen regimens are comparable in terms of immunogenicity; however, how these impact the immunogenicity booster vaccination remains unknown. We conducted a clinical trial to assess with purified Vero cell rabies vaccine after primary or regimens. This randomized, open-label, controlled, phase 3 trial, Shangyu City Shengzhou City, Zhejiang Province, China, was divided into phases. After screening, all eligible participants were allocated groups A, B, C, D, E, F. Groups C...

10.1038/s41598-025-88361-1 article EN cc-by-nc-nd Scientific Reports 2025-02-27

Several human papillomavirus (HPV) L1-based virus-like particle (VLP) vaccines are in development to meet future global vaccination needs. Type-specific monoclonal antibodies with good reactivity all types of urgently needed evaluate vaccine potency. In this study, binding activity, neutralizing conformational sensitivity, immunodominance serum, and versatility were compared among antibodies. A broad-spectrum antibody (C4-F5-127) was selected as the capture antibody; four type-specific...

10.1038/s41541-025-01106-z article EN cc-by-nc-nd npj Vaccines 2025-03-22

Objective: To explore the clinical value of prenatal screening for fetal-free DNA in maternal blood. Methods: A total 10,275 blood samples were collected from October 2012 to May 2016 at diagnosis center Changzhou Woman and Children Health Hospital. Results: Among pregnant women accepted noninvasive testing (NIPT), 9 cases could not get results after second times. The rate NIPT failure was 0.09%. Seventy-two got positive trisomy 21/trisomy 18/trisomy 13, detection rate, specificity,...

10.1097/md.0000000000007114 article EN cc-by-nc Medicine 2017-07-01

10.1016/j.tcs.2010.03.003 article EN publisher-specific-oa Theoretical Computer Science 2010-03-09

The synergy between exploration and exploitation has been a prominent issue in optimization. rise of memetic algorithms, category optimization techniques which feature the explicit exploration-exploitation coordination, much accentuates this issue. While algorithms have achieved remarkable success wide range real-world applications, key to successful synergies still remains obscure as conclusions drawn from empirical results or theoretical derivations are usually quite algorithm specific...

10.1109/tevc.2011.2150754 article EN IEEE Transactions on Evolutionary Computation 2011-10-01

Abstract Objective To explore the impact of maternal sex chromosome aneuploidies (SCAs) and copy number variation (CNV) on false‐positive results non‐invasive prenatal screening (NIPS) for predicting foetal SCAs. Methods In total, 22 844 pregnant women were recruited to undergo NIPS. Pregnant with high‐risk SCAs underwent diagnosis sequencing (CNV‐seq). Results Among 117 SCAs, 72 accepted diagnosis, 86 CNV‐seq, 21 had abnormalities. The abnormality rate was significantly higher than at...

10.1002/pd.5529 article EN Prenatal Diagnosis 2019-07-18

Luby Transform code (LT code) has been a popular and practical technique in the field of channel coding since its proposal. One key components LT is degree distribution which used to determine relationship between source data codewords. his proposal suggested two general methods construct feasible distributions. Such designs work appropriately typical situations but not optimally most cases. To explore full potential code, this work, we make first attempt introduce evolutionary algorithms...

10.1109/cec.2010.5586202 article EN 2010-07-01

The aim of the research is to find best performance both logistic regression and linear discriminant which their threshold uses some various values.The tools used for evaluating classifier model are confusion matrix, precision-recall, F1 score receiver operation characteristic (ROC) curve.The Audit-risk data set implementation proposed method.The screening dimension reduction by using principal component analysis (PCA) first step that must be conducted before divided into training testing...

10.13189/ms.2021.090207 article EN Mathematics and Statistics 2021-03-01

Luby Transform code (LT code) is the first practical digital fountain and has been widely used as basic components in many communication applications. The coding behavior of LT mainly decided by a probability distribution codeword degrees. In order to customize degree for different purposes, multi-objective evolutionary algorithm introduced optimize distributions this paper. Two critical performance indicators are considered our experiments. Some applications hope minimize overhead extra...

10.1109/cec.2010.5586340 article EN 2010-07-01

Variable interdependency, referred to as linkage in genetic algorithms (GAs), has been among the most useful information evolutionary optimisation. With aid of information, efficient evolution can be attained by GAs. Among variants advanced GAs, linkages are either explicitly identified, perturbation-based methods, or implicitly extracted, estimation distribution (EDAs). As discovery considered a matter extraction, Shannon's entropy, renowned metric, widely adopted modern Despite validation...

10.1080/00207721.2011.577246 article EN International Journal of Systems Science 2011-05-14

An adaptive discretization method, called split-on-demand (SoD), enables estimation of distribution algorithms (EDAs) for discrete variables to solve continuous optimization problems. SoD randomly splits a interval if the number search points within exceeds threshold, which is decreased at every iteration. After split operation, nonempty intervals are assigned integer codes, and discretized accordingly. As an example using with EDAs, integration extended compact genetic algorithm (ECGA)...

10.1162/evco.2010.18.2.18202 article EN Evolutionary Computation 2010-03-08

Background In response to SARS-CoV-2 mutations and waning antibody levels after two-dose inactivated vaccines, we assessed whether a third dose of recombinant protein subunit vaccine (ZF2001) boosts immune responses. Methods An open-label single-center non-random trial was conducted on people aged 18 years above at five sites in China. All participants received (CoronaVac) as their prime doses within 3–9 months the trial. Primary outcomes were safety immunogenicity, primarily geometric mean...

10.3389/fimmu.2022.1017590 article EN cc-by Frontiers in Immunology 2022-11-08

Imbalanced classes can cause machine learning models to classify positive class instances poorly, and the require hyperparameter sets optimal values. This study aims develop random forest (RF) support vector (SVM) that use hyperparameters obtained through 5-fold cross-validation data. Both were trained using pairs fit two data scenarios, original oversampling training sets, produce benchmark best models. The model's performance was evaluated six metrics, including testing acquired...

10.20944/preprints202408.1318.v1 preprint EN 2024-08-19

This paper identifies the sequential behavior of linkage learning genetic algorithm, introduces tightness time model for a single building block, and develops connection between model. By integrating first-building-block based on behavior, model, these two models, convergence is constructed empirically verified. The proposed explains exponentially growing required by algorithm when solving uniformly scaled problems.

10.1162/1063656054794806 article EN Evolutionary Computation 2005-08-20
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