Ziyi Yu

ORCID: 0009-0002-0431-1570
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About
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Research Areas
  • Catalytic Processes in Materials Science
  • Electrocatalysts for Energy Conversion
  • Catalysis and Oxidation Reactions
  • Advanced SAR Imaging Techniques
  • Image and Signal Denoising Methods
  • Music Technology and Sound Studies
  • Advanced Neuroimaging Techniques and Applications
  • Video Analysis and Summarization
  • Anomaly Detection Techniques and Applications
  • Catalytic C–H Functionalization Methods
  • Digital Media Forensic Detection
  • Generative Adversarial Networks and Image Synthesis
  • Advanced MRI Techniques and Applications
  • Sparse and Compressive Sensing Techniques
  • Medical Imaging Techniques and Applications
  • Music and Audio Processing
  • Image Processing Techniques and Applications
  • Oxidative Organic Chemistry Reactions
  • Asymmetric Synthesis and Catalysis

Shanghai Institute of Ceramics
2024

Chinese Academy of Sciences
2024

Gannan Normal University
2022-2024

Shanghai University of Engineering Science
2024

Communication University of China
2023

Xidian University
2022-2023

Signal Processing (United States)
2022

Herein, a versatile highly regioselective three-component annulation of simple aromatic ketones and methylamines using hypervalent iodine reagent for polyarylated 1-pyrrolines has been described in good to excellent yields. Meanwhile, unsymmetrical 1-pyrroline isomers could be realized synthesized. Such an intriguing one-pot two-step tandem assembly strategy with green conditions high regioselectivity shows predictable inspiration related reactions.

10.1021/acs.joc.4c00830 article EN The Journal of Organic Chemistry 2024-07-09

Hydrogen spillover effect-based active catalyst design is an effective strategy to enhance the hydrogen oxidation reaction (HOR) performance, which, unfortunately, still suffer from high energy barrier. Here,...

10.1039/d4ta04696j article EN Journal of Materials Chemistry A 2024-01-01

Target recognition is the core application of radar image interpretation. In recent years, deep learning has become mainstream solution. However, this family methods highly dependent on a great deal training samples. Limited samples may lead to problems such as underfitting and poor robustness. To solve problem, numerous generative models have been presented. The generated played an important role in target recognition. It therefore needed assess quality simulated images. few studies were...

10.3390/rs15082110 article EN cc-by Remote Sensing 2023-04-17

We propose an intelligent directing system based on visual and auditory information, which mainly focuses the concert scene. Our performs real-time decoding of signals recorded transmitted during live concert, while providing audio video streaming data. In this way, will extract physical musical features stream. These information determine timing camera to be switched. As for data, we choose conduct detection data from different cameras viewpoints, including blurring degree short scale,...

10.1145/3604321.3604336 article EN 2023-06-12

Synthetic Aperture Radar Automatic Target Recognition (SAR-ATR) is the core application of SAR technology. The shortage training data a constraint for SAR-ATR. One valid methods to solve problem image simulation. A large quantity generative models have achieved impressive performances on Therefore, it absolutely necessary evaluate whether simulated images fulfill requirement application. This challenging has not attracted plenty attention. Very few studies been done. To fill blank, we...

10.1109/igarss46834.2022.9884006 article EN IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium 2022-07-17

To propose a new method for fast MRI reconstruction based on deep learning in parallel data using loss function defined as the summation of mean squared errors magnitude and phase.The multicoil image were combined into single-coil to eliminate correlation between noises used label training process. Considering importance phase information some applications, where was lost when combining sum square method, introduced, weighted error (MSE) phase. The single weight balance different...

10.12122/j.issn.1673-4254.2022.12.02 article EN PubMed 2022-12-20
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