A5101461842- Plant Parasitism and Resistance
- Plant and animal studies
- Mycorrhizal Fungi and Plant Interactions
- Advanced Vision and Imaging
- Plant-Microbe Interactions and Immunity
- Video Surveillance and Tracking Methods
- Image and Video Quality Assessment
- Ecosystem dynamics and resilience
- Optical measurement and interference techniques
- Weed Control and Herbicide Applications
- Artificial Immune Systems Applications
- Biomedical Text Mining and Ontologies
- Nematode management and characterization studies
- Plant responses to elevated CO2
- Plant Pathogens and Fungal Diseases
- Plant Growth Enhancement Techniques
- Service-Oriented Architecture and Web Services
- Nanoparticles: synthesis and applications
- Legume Nitrogen Fixing Symbiosis
- Semantic Web and Ontologies
- Anomaly Detection Techniques and Applications
- Image Processing Techniques and Applications
- Carbon and Quantum Dots Applications
- Plant Water Relations and Carbon Dynamics
- Ecology and Vegetation Dynamics Studies
Center for Excellence in Molecular Plant Sciences
2025
Chinese Academy of Sciences
2025
Jiangsu University
2019-2024
Changchun University of Science and Technology
2023
China Agricultural University
2019-2021
Environmental Earth Sciences
2019
UNSW Sydney
2019
Invasive plants are a huge burden on the environment, and modify local ecosystems by affecting indigenous biodiversity. generally less affected pathogens, although underlying molecular mechanisms responsible for their enhanced resistance unknown. We investigated expression profiles of three defense hormones (salicylic acid, jasmonic ethylene) associated genes in invasive weed, Alternanthera philoxeroides, its native congener, A. sessilis, after inoculation with Rhizoctonia solani....
Abstract Domain ontology plays an increasingly important role in the information extraction process and has become a useful tool for knowledge acquisition, sharing, modeling. However, existing domain construction methods are mainly based on manual mode, lacking systematic engineering methods. This paper proposes method of Chinese relation extraction, which fully considers automatic semantic hierarchical relations, guarantees richness accuracy relational triples. The is applied to field food...
<title>Abstract</title> Invasive plants have caused huge damages in ecosystems. Arbuscular mycorrhizal fungi (AMF) play important roles plant growth. However, the importance of AMF pathogenic stress on invasive were rarely studied. The effects (<italic>Glomus etunicatum</italic>) resistance to fungus <italic>Rhizoctonia solani</italic> an <italic>Alternanthera philoxeroides</italic> examined this study. Our results showed that significantly promoted stem length, spacer and leaf area...
Global climate change and invasive plants significantly impact biodiversity ecosystem functions. This study focuses on the effects of progressive warming microbial communities within
Heat waves (HW) are projected to become more frequent and intense with climate change, potentially enhancing the invasiveness of certain plant species. This study aims compare physiological photosynthetic responses invasive Wedelia trilobata its native congener chinensis under simulated heat wave conditions (40.1 °C, derived from local historical data). Results show that W. maintained higher efficiency, water-use efficiency (WUE), total biomass HW, suggesting ability optimize above-ground...
In recent years, convolutional neural networks especially those based on encoder-decoder architecture have been used in the task of monocular depth estimation, and it has brought great success. However, parameters computational cost are increasing constantly so as to improve predicting accuracy. view this situation, a network model lightweight structure is designed estimate paper, which good accuracy reduces number parameters. order design network, named GhostNet was chose when encoding....
Stereo disparity is a major factor affecting visual comfort in stereoscopic video, and human eyes will feel uncomfortable when viewing scenes with large disparities. Therefore, order to improve comfort, disparities was adjusted by linear nonlinear methods, the excessive were reduced. Based on stereo display parameters physiological parameters, range of Panum's fusional area for calculated, overall video linearly this range. Furthermore, based attention mechanism motion information remapping...
Anomaly detection in surveillance videos aims at identifying abnormal event under specific scenarios and it is widely applied public security, smart city, pedestrian surveillance. In the weakly-supervised setting, most existing anomaly approaches are formulated as classic multiple-instance learning problem. this paper, we provide a unique perspective that selection biased positive unlabeled learning. such viewpoint, long estimating label frequency from training set, can effectively apply...