Hailin Hu

ORCID: 0000-0002-8256-7750
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About
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Research Areas
  • Conducting polymers and applications
  • Chalcogenide Semiconductor Thin Films
  • Quantum Dots Synthesis And Properties
  • Perovskite Materials and Applications
  • Organic Electronics and Photovoltaics
  • Analytical Chemistry and Sensors
  • Transition Metal Oxide Nanomaterials
  • Advanced Sensor and Energy Harvesting Materials
  • TiO2 Photocatalysis and Solar Cells
  • Copper-based nanomaterials and applications
  • Gas Sensing Nanomaterials and Sensors
  • Semiconductor materials and interfaces
  • Advanced battery technologies research
  • Organic Light-Emitting Diodes Research
  • Semiconductor materials and devices
  • Electrochemical sensors and biosensors
  • Silicon Nanostructures and Photoluminescence
  • ZnO doping and properties
  • Thin-Film Transistor Technologies
  • Molecular Junctions and Nanostructures
  • Magnesium Oxide Properties and Applications
  • Electrospun Nanofibers in Biomedical Applications
  • Nanowire Synthesis and Applications
  • Generative Adversarial Networks and Image Synthesis
  • Electrophoretic Deposition in Materials Science

Universidad Nacional Autónoma de México
2015-2024

Instituto Tecnológico y de Energías Renovables
2015-2021

East China Normal University
2020

Xochicalco University
2006-2019

Universidad Mexicana
2008

University of California, Irvine
2008

The extraordinary ability of generative models to generate photographic images has intensified concerns about the spread disinformation, thereby leading demand for detectors capable distinguishing between AI-generated fake and real images. However, lack large datasets containing from most advanced image generators poses an obstacle development such detectors. In this paper, we introduce GenImage dataset, which following advantages: 1) Plenty Images, including over one million pairs collected...

10.48550/arxiv.2306.08571 preprint EN other-oa arXiv (Cornell University) 2023-01-01

The rapid advancement of video generation models has made it increasingly challenging to distinguish AI-generated videos from real ones. This issue underscores the urgent need for effective detectors prevent dissemination false information through such videos. However, development high-performance generative is currently impeded by lack large-scale, high-quality datasets specifically designed detection. To this end, we introduce GenVidBench, a detection dataset with several key advantages:...

10.48550/arxiv.2501.11340 preprint EN arXiv (Cornell University) 2025-01-20

10.1016/s0927-0248(00)00061-1 article EN Solar Energy Materials and Solar Cells 2000-08-01

Cadmium sulfide nanoparticles (CdS-n) are excellent electron acceptor for hybrid solar cell applications. However, the particle size and properties of CdS-n products depend largely on synthesis methodologies. In this work, were synthetized by microwave heating using thioacetamide (TA) or thiourea (TU) as sulfur sources. The obtained CdS-n(TA) showed a random distribution hexagonal particles contained TA residues. latter could originate charge carrier recombination process cause low...

10.1155/2014/453747 article EN cc-by International Journal of Photoenergy 2014-01-01

The incorporation of P4VP polymer could effectively passivate defects, thus improving both the device performance and stability.

10.1039/c9tc06578d article EN Journal of Materials Chemistry C 2020-01-01

We report an electrically conducting polyaniline–poly(acrylic acid) blend coatings prepared by mixing the emeraldine base (EB) form of polyaniline (PANI) and poly(acrylic (PAA) aqueous solution. The samples show a moderate electrical conductivity σ. If they are immersed in HCl solution, is increased two or three orders magnitude their thermal stability also improved. Optical transmittance spectra complete protonation PANI–PAA blends after immersion Fourier transform infrared spectroscopy...

10.1002/(sici)1097-0126(199803)45:3<262::aid-pi885>3.0.co;2-f article EN Polymer International 1998-03-01
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