Guobiao Li

ORCID: 0000-0002-5531-7043
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About
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Research Areas
  • Advanced Photocatalysis Techniques
  • Extraction and Separation Processes
  • Luminescence Properties of Advanced Materials
  • Advanced Steganography and Watermarking Techniques
  • Perovskite Materials and Applications
  • Digital Media Forensic Detection
  • Recycling and Waste Management Techniques
  • Internet Traffic Analysis and Secure E-voting
  • Advanced oxidation water treatment
  • Radioactive element chemistry and processing
  • Chaos-based Image/Signal Encryption
  • Photovoltaic Systems and Sustainability
  • Advancements in Battery Materials
  • Coagulation and Flocculation Studies
  • Geochemistry and Elemental Analysis
  • Quantum Dots Synthesis And Properties
  • Magnesium Oxide Properties and Applications
  • Metal Extraction and Bioleaching
  • Nuclear materials and radiation effects
  • Dielectric properties of ceramics
  • Nanoplatforms for cancer theranostics
  • Generative Adversarial Networks and Image Synthesis
  • Recycling and utilization of industrial and municipal waste in materials production
  • Molten salt chemistry and electrochemical processes
  • Photovoltaic System Optimization Techniques

Fudan University
2022-2024

Chinese Academy of Sciences
2022-2024

Jiangxi Academy of Sciences
2022-2024

Institute of Process Engineering
2023

Shanghai Jiao Tong University
2019-2022

Kunming University of Science and Technology
2016

China University of Mining and Technology
2011

Xiangtan University
2004

Ceramic artworks with elegant patterns present enormous collectible value and profits. To claim the copyright, builder usually pastes their conspicuous stamp on bottom or side of ceramic artworks, which inevitably affects external image artwork. In addition, is weak in resisting forgery attacks due to its visible nature. address above issues, we propose this paper a novel framework for embedding invisible watermarking into artworks. framework, template-based scheme designed map watermark an...

10.1609/aaai.v39i1.32062 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2025-04-11

Embedding links in brand logos is a promising technology, which allows consumers to access the online information of products by capturing physical logo images. Previous data hiding methods primarily embed within cover media global manner, making them ineffective for processing vector graphics format with transparent background. To address this issue, we propose paper novel deep scheme invisibly embedding printed trademarks. Specifically, encoder embeds only into area under constraints mask,...

10.1609/aaai.v39i9.32981 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2025-04-11

10.1109/cvpr52733.2024.02603 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024-06-16

Steganography is a technique for covert communication between two parties. With the rapid development of deep neural networks (DNN), more and steganographic are proposed recently, which shown to be promising achieve good performance. Unlike traditional handcrafted tools, network relatively large in size. It raises concerns on how covertly transmit public channels, crucial stage pipeline steganography real world applications. To address such an issue, we propose novel scheme this paper....

10.1609/aaai.v37i4.25647 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2023-06-26
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