Jinfeng Zhou

Jinfeng Zhou
Research Interests: 
  • Artificial Intelligence and machine learning
  • Consumer behavior and consumer experience
  • Data science
Publication Citations: 

Zhou, J., Yu, L., Ding, Q., & Wang, R. (2018). Textile fiber identification using near-infrared spectroscopy and pattern recognition. Autex Research Journal1(ahead-of-print). Retrieved from: https://doi.org/10.1515/aut-2018-0055

Zhou, J., Yu, L., Wang, R., & Xu, B. (2018). Image sharpness enhancement for textile testing. AATCC Review18(2), 43-53.

Zhou, J., Wang, R., Wu, X., & Xu, B. (2017). Fiber-content measurement of wool–cashmere blends using near-infrared spectroscopy. Applied spectroscopy, 71(10), 2367-2376.

Yu, L. J., Zhou, J. F., & Wang, R. W. (2018). A novel approach for identification of pills based on the method of Depth from Focus. Industria Textila, 69(6), 466.

Yu, L., Wang, R., & Zhou, J. (2017). Performance of the pilling evaluation method based on the technique of DFF/performanta metodei de evaluare a pilingului pe baza tehnicii DFF. Industria Textila, 68(1), 13.

Yu, L., Wang, R., Zhou, J., & Xu, B. (2016). Rapid acquisition of high‐volume microscopic images using predicted focal plane. Journal of microscopy, 263(3), 320-327.

Wang, R., Zhou, J., Yu, L., & Xu, B. (2014). Fusing multifocus images for yarn hairiness measurement. Optical Engineering, 53(12), 123101.