Wenli Huang

ORCID: 0000-0001-8708-9199
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About
Contact & Profiles
Research Areas
  • Embedded Systems and FPGA Design
  • Sparse and Compressive Sensing Techniques
  • Advanced Sensor and Control Systems
  • Stochastic processes and financial applications
  • Optimization and Variational Analysis
  • Wireless Sensor Networks and IoT
  • Advanced Optimization Algorithms Research
  • Advanced Computational Techniques and Applications
  • Financial Markets and Investment Strategies
  • Polysaccharides and Plant Cell Walls
  • Gut microbiota and health
  • Fault Detection and Control Systems
  • Advanced Algorithms and Applications
  • Probiotics and Fermented Foods
  • Risk and Portfolio Optimization
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Insurance and Financial Risk Management
  • Spectroscopy and Chemometric Analyses

State Key Laboratory of Food Science and Technology
2022

Nanchang University
2007-2022

Guangzhou University
2022

Zhejiang University of Science and Technology
2012-2013

Zhengzhou University of Aeronautics
2008-2012

Soluble polysaccharides derived from microbial fermentation of agricultural by-products were considered as potential functional ingredients, primarily having probiotic properties. Herein, soluble (FSRP) isolated soybean residue fermented by Neurospora crassa, and FSRP mainly contained rhamnose, arabinose, fucose, mannose, glucose, galactose, according to GC-MS analysis. To further investigate the protective effect against colitis, dextran sulfate sodium induction (DSS)-treated mice orally...

10.1039/d2fo00137c article EN Food & Function 2022-01-01

10.1007/s11766-012-2683-4 article EN Applied mathematics/Applied Mathematics. A Journal of Chinese Universities/Gao-xiao yingyong shuxue xuebao 2012-09-01

One fundamental problem with the kernel Fisher discriminant analysis (KFDA) for fault diagnosis, is singularity of within-class scatter matrix due to small sample size. In this paper, a scatter-difference-based (KSDA) method proposed diagnosis. The can not only produce nonlinear features process data, but also avoid matrix. Experimental results are given show effectiveness new method.

10.1109/icma.2008.4798854 article EN 2008-08-01

In this paper, a relaxed variable metric primal-dual fixed-point algorithm is proposed for solving the convex optimization problem involving sum of two functions where one differentiable with Lipschitz continuous gradient while other composed linear operator. Based on preconditioned forward–backward splitting algorithm, convergence proved. At same time, we show that some existing algorithms are special cases algorithm. Furthermore, ergodic and rates established under parameters. Numerical...

10.3390/math10224372 article EN cc-by Mathematics 2022-11-20
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