Can Liu

ORCID: 0000-0003-1819-8249
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About
Contact & Profiles
Research Areas
  • Optical Network Technologies
  • Advanced Optical Network Technologies
  • Food Chemistry and Fat Analysis
  • Inertial Sensor and Navigation
  • Sensor Technology and Measurement Systems
  • Tensor decomposition and applications
  • Parallel Computing and Optimization Techniques
  • Advanced Neural Network Applications
  • Pineapple and bromelain studies
  • Phytochemical compounds biological activities
  • Software-Defined Networks and 5G
  • Neural Networks and Applications

Hunan University
2024

Beihang University
2012

The extraction yields of mogroside from Siraitia grosvenorii fruits and limonin orange (Citrus reticulata Blanco) seeds were compared with different methods, respectively. Maceration extraction, stirring ultrasonic flash used for the extraction. process was modeled using concept thin film which provides resistance to transfer. results showed that maximum (4.11%) (0.65%) obtained by Owing its shorter time, would be an economical method mass production triterpenes natural products. model found...

10.1515/1556-3758.2361 article EN International Journal of Food Engineering 2012-05-24

Deep neural networks (DNNs) have made great breakthroughs and seen applications in many domains. However, the incomparable accuracy of DNNs is achieved with cost considerable memory consumption high computational complexity, which restricts their deployment on conventional desktops portable devices. To address this issue, low-rank factorization, decomposes network parameters into smaller sized matrices or tensors, has emerged as a promising technique for compression. In article, we propose...

10.1109/tnnls.2024.3383392 article EN IEEE Transactions on Neural Networks and Learning Systems 2024-04-30

10.1109/tsusc.2024.3425962 article EN IEEE Transactions on Sustainable Computing 2024-01-01
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