周柚

学院(School):软件学院

College of Software

专业(Discipline):

计算机科学与技术

Computer Science

研究方向(Research Interests)

1.机器学习 Machine Learning

2.模式识别 Pattern Recognition

3.

电话(Tel):

13644311431

邮箱(Email):

zyou@jlu.edu.cn

个人简历(Biography) （以下选填）

教育背景:(Educational Background)

工作经历: (Working Experience)

学术兼职:(Part-time Academic Jobs)

所获荣誉:(Awards)

发表文章及所获项目 (Publications)

请列举5篇左右代表性论文或著作。(Please list 5 representative publications)

[1] Hassan, M., Wang, Y., Wang, D., Li, D., Liang, Y., Zhou, Y*., & Xu, D*. (2021). Deep learning analysis and age prediction from shoeprints. Forensic Science International, 327, 110987. (SCI, 一区)

[2] Hassan, M., Wang, Y., Pang, W. et al. GUV-Net for high fidelity shoeprint generation. Complex Intell. Syst. (2021). https://doi.org/10.1007/s40747-021-00558-9

[3] Parmar, M., Wang, D., Zhang, X., Tan, A. H., Miao, C., Jiang, J., & Zhou, Y*. (2019). REDPC: A residual error-based density peak clustering algorithm. Neurocomputing, 348, 82-96. (SCI, IF:4.072)

[4] Parmar, M. D., Pang, W., Hao, D., Jiang, J., Liupu, W., Wang, L., & Zhou, Y*. (2019). FREDPC: A feasible residual error-based density peak clustering algorithm with the fragment merging strategy. IEEE Access, 7, 89789-89804. (SCI, IF:4.089)

[5] Parmar M, Wang D, Tan AH, Miao C, Jiang J, Zhou Y*. A novel density peak clustering algorithm based on squared residual error[C]//Security, Pattern Analysis, and Cybernetics (SPAC), 2017 International Conference on. IEEE, 2017: 43-48.(EI)

对所招收的国际学生语言、科研能力有无特殊要求；如有请简述。(Are there any special requirements for international students, such as language and scientific research capabilities. If so, please give a brief description.)

English, Programming and Computational Thinking.