Yunli Wang

ORCID: 0000-0002-2320-954X
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About
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Research Areas
  • Plant Pathogens and Fungal Diseases
  • Plant Disease Resistance and Genetics
  • Mycotoxins in Agriculture and Food
  • Vehicle Routing Optimization Methods
  • Transportation and Mobility Innovations
  • Advanced Text Analysis Techniques
  • Advances in Cucurbitaceae Research
  • Bioinformatics and Genomic Networks
  • Complex Network Analysis Techniques
  • Smart Parking Systems Research
  • Allergic Rhinitis and Sensitization
  • Fault Detection and Control Systems
  • Data Quality and Management
  • Privacy-Preserving Technologies in Data
  • Gene expression and cancer classification
  • Health Literacy and Information Accessibility
  • Spam and Phishing Detection
  • Nuclear reactor physics and engineering
  • Advanced Multi-Objective Optimization Algorithms
  • Plant Reproductive Biology
  • Biomedical Text Mining and Ontologies
  • Business Process Modeling and Analysis
  • Traffic Prediction and Management Techniques
  • Gaussian Processes and Bayesian Inference
  • Transportation Planning and Optimization

National Research Council Canada
2006-2025

Changchun University of Chinese Medicine
2023-2024

Hubei University of Chinese Medicine
2024

Woosong University
2023

National Academies of Sciences, Engineering, and Medicine
2006-2019

University of New Brunswick
2017

Shanghai Jiao Tong University
2013-2015

Nanjing Medical University
2012-2014

Jiangsu Province Hospital
2012

Research and Productivity Council
2008

Fusarium head blight (FHB) of wheat in North America is caused mostly by the fungal pathogen graminearum (Fg). Upon exposure to Fg, initiates a series cellular responses involving massive transcriptional reprogramming. In this study, we analyzed transcriptomics data four genotypes (Nyubai, Wuhan 1, HC374, and Shaw), at 2 4 days post inoculation (dpi) with using RNA-seq technology. A total 37,772 differentially expressed genes (DEGs) were identified, 28,961 from 8811 pathogen. The susceptible...

10.1186/s12864-018-5012-3 article EN cc-by BMC Genomics 2018-08-29

Powdery mildew (PM) is a serious fungal disease of cucumber worldwide. The identification resistance genes very important for breeding to ensure production. Here, natural loss-of-function mutations at an MLO homologous locus, CsMLO1, were found confer durable PM in cucumber. CsMLO1 encoded cell membrane protein, was mainly expressed leaves and cotyledons, up-regulated by the early stage host-pathogen interaction. Ectopic expression rescued phenotype resistant Atmlo2 Atmlo12 double mutant...

10.3389/fpls.2015.01155 article EN cc-by Frontiers in Plant Science 2015-12-22

Deep reinforcement learning (DRL)-based frameworks, featuring Transformer-style policy networks, have demonstrated their efficacy across various vehicle routing problem (VRP) variants. However, the application of these methods to multi-trip time-dependent (MTTDVRP) with maximum working hours constraints—a pivotal element urban logistics—remains largely unexplored. This paper introduces a DRL-based method called Simultaneous Encoder and Dual Decoder Attention Model (SED2AM), tailored for...

10.1145/3721983 article EN ACM Transactions on Knowledge Discovery from Data 2025-03-05

10.1016/j.ijmedinf.2006.04.001 article EN International Journal of Medical Informatics 2006-06-06

Simple clustering methods such as hierarchical and k-means are widely used for gene expression data analysis; but they unable to deal with noise high dimensionality associated the microarray data. Consensus appears improve robustness quality of results. Incorporating prior knowledge in process (semi-supervised clustering) has been shown consistency between partitioning domain knowledge.We proposed semi-supervised consensus (SSCC) integrate analyzing We investigated roles improving...

10.1186/1756-0381-7-7 article EN cc-by BioData Mining 2014-05-08

Abstract Automatic generation of high-quality meshes is a base CAD/CAE systems. The element extraction major mesh method for its capabilities to generate around the domain boundary and control local densities. However, widespread applications have been inhibited by difficulties in generating satisfactory interior or even complete mesh. method's primary challenge define rules achieving both geometric with complex shapes. This paper presents self-learning system, FreeMesh-S, that can...

10.1017/s089006042100007x article EN Artificial intelligence for engineering design analysis and manufacturing 2021-04-21

Internet is used as one of major sources health information. However, some studies show that the readability information presented on web sites difficult for many consumers. Readability formulas usually measure difficulty writing style, instead content. In order to recommend with appropriate reading level consumers, we investigate feasibility identifying text using machine learning methods. Support Vector Machine classify consumer into easy read and general public. Three feature sets:...

10.1109/cbms.2006.58 article EN 2006-01-01

10.1016/j.trc.2024.104641 article EN Transportation Research Part C Emerging Technologies 2024-05-20

Abstract Trailer allocation and truck routing are critical components of transportation management. However, in real‐world applications, inter‐influence between selecting the best trailers trucks, strict fulfillment Pickup or Delivery (PD) orders, size fleet some challenges that need to be dealt with a large company. In addition, trailer problems considered NP‐hard combinatorial optimization (CO) problems. Therefore, we use deep reinforcement learning (DRL), which has capability solving...

10.1111/tgis.13057 article EN cc-by-nc Transactions in GIS 2023-05-14

Condition monitoring is an important issue in system health management, and usually the first step leading to fault detection, diagnosis, prognosis. It often conducted through time series of sensors, which includes outliers change points. We adopt a deep learning model LSTM for condition boilers chillers central heating cooling plant. A two stage approach used: prediction anomaly detection. In stage, we use three regression models: LASSO, SVR, MLP predict energy efficiency chillers. The...

10.1109/coase.2019.8843058 article EN 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) 2019-08-01

Background The ADAM33 gene has been identified as a potentially important asthma candidate and polymorphisms in this have shown to be associated with seasonal allergic rhinitis. Objective To assess whether the are persistent rhinitis (PER) due house dust mites Chinese population. Methods In hospital-based case-control study of 515 patients mite-sensitized PER 495 healthy controls, we genotyped seven single nucleotide (SNPs) ADAM33. Serum levels eosinophil cationic protein, total IgE...

10.1371/journal.pone.0095033 article EN cc-by PLoS ONE 2014-04-21

Fusarium head blight (FHB) is a major disease of cereal crops, caused by the fungal pathogen graminearum and related species. Breeding wheat for FHB resistance contributes to increase yields grain quality reduce use fungicides. The identification genes markers in different genotypes has nevertheless proven challenging.In this study, early infection F. was analyzed doubled haploid population derived from cross moderately resistant Wuhan 1 Nyubai. Three quantitative trait loci (QTL) were...

10.1186/s12870-019-2149-4 article EN cc-by BMC Plant Biology 2019-12-01
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