Rui Xue

ORCID: 0000-0003-4657-271X
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About
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Research Areas
  • Polymer composites and self-healing
  • Toxic Organic Pollutants Impact
  • Effects and risks of endocrine disrupting chemicals
  • Polydiacetylene-based materials and applications
  • Marine Biology and Environmental Chemistry
  • Advanced Sensor and Energy Harvesting Materials
  • Advanced Cellulose Research Studies
  • Fuel Cells and Related Materials
  • CO2 Reduction Techniques and Catalysts
  • Pharmaceutical and Antibiotic Environmental Impacts
  • Electrocatalysts for Energy Conversion
  • Microplastics and Plastic Pollution
  • Water Treatment and Disinfection
  • Microbial bioremediation and biosurfactants
  • Polysaccharides and Plant Cell Walls
  • Tissue Engineering and Regenerative Medicine
  • Electrokinetic Soil Remediation Techniques
  • Covalent Organic Framework Applications
  • Domain Adaptation and Few-Shot Learning
  • Dye analysis and toxicity
  • Aquatic life and conservation
  • Electrochemical Analysis and Applications
  • Landfill Environmental Impact Studies
  • Nuclear Materials and Properties
  • Traffic control and management

Beijing Academy of Science and Technology
2024

Harbin Institute of Technology
2023-2024

Guangxi University
2010-2023

Wuhan Textile University
2023

Tongji University
2014-2022

National Center for Science and Technology Evaluation
2019

State Key Laboratory of Pollution Control and Resource Reuse
2016-2019

MEI Research (United States)
2005

Cellulose nanocrystal (CNC)-based chiral nematic structure is widely used in stimulus response and sensing. A popular area of research enhancing the mechanical characteristics environmental adaptability materials. In this paper, a flexible photonic film with self-healing ability (FPFS) was prepared by combining waterborne polyurethane containing dynamic covalent disulfide bonds (SSWPU) CNC. The results found that FPFS showed excellent toughness under action stretching, bending, twisting,...

10.1021/acsnano.2c11809 article EN ACS Nano 2023-03-10

Valley-dependent propagation of light in an artificial photonic hexagonal lattice, akin to electrons graphene, is investigated microwave regime. Both numerical and experimental results show that the valley degeneracy graphene broken when frequency away from Dirac point. The peculiar anisotropic wave transport property due distinct valleys analyzed using equifrequency contours. More interestingly, valley-dependent self-collimation beam splitting phenomena are experimentally demonstrated with...

10.1364/oe.22.023605 article EN cc-by Optics Express 2014-09-18

Traffic prediction is an important part of modern intelligent transportation systems (ITS), which helps management and city planning. However, it a very challenging task for modeling complex spatio-temporal dependencies, since the traffic data belongs to highly periodic multivariate time series makes hard model accurate spatial dependencies only from observed geolocation information road segments. The existing research mainly focuses on finding ways capturing dynamic segments while...

10.1109/tits.2022.3220915 article EN IEEE Transactions on Intelligent Transportation Systems 2022-11-24

The Yangtze Estuary is a vital habitat and breeding ground for many rare species (e.g., Chinese sturgeon, paddlefish). From the view of marine ecosystem health, organotin compounds (OTCs) should be great concern in this area based on their broad applications potential threats. At present study, five OTC were determined 28 26 surface sediments from (including Nearshore area, Estuarine Turbidity Maxima (ETM) zone Plume zone) 2015 2016, respectively. Meanwhile, four sludge samples collected...

10.1186/s12302-019-0207-z article EN cc-by Environmental Sciences Europe 2019-04-30

Few-shot image generation aims to train generative models using a small number of training images. When there are few images available for (e.g. 10 images), Learning From Scratch (LFS) methods often generate that closely resemble the data while Transfer (TL) try improve performance by leveraging prior knowledge from GANs pre-trained on large-scale datasets. However, current TL may not allow sufficient control over degree preservation source model, making them unsuitable setups where and...

10.48550/arxiv.2311.08217 preprint EN cc-by arXiv (Cornell University) 2023-01-01

Touch panels are extensively applied across various fields, serving as a critical platform for the future of human-machine interaction and metaverse. However, touch panel development is impeded by complicated sensor systems, including electrode grids, stacked multilayers, external power. Here, highly sensitive self-powered vibration based on triboelectric nanogenerator (VS-TENG) designed to realize grid-free recognition arbitrary surfaces detecting locating an source. The VS-TENG adopts...

10.2139/ssrn.4657821 preprint EN 2023-01-01
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