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华中农业大学信息学院导师教师师资介绍简介-王玉龙

本站小编 Free考研考试/2021-07-30

姓名
王玉龙
性别



职称
教授
学位
博士

电话

邮箱
ylwang@mail.hzau.edu.cn

工作单位
华中农业大学信息学院

研究方向
机器学习,模式识别,计算机视觉,人工智能

教育经历
2017.06-2017.12 澳门大学 计算机科学 博士后
2013.09-2017.01 澳门大学 软件工程 博士
2010.09-2013.06 湖北大学 应用数学 硕士
2006.09-2010.06 湖北大学 数学与应用数学 学士

主要职历
2020.08-至今 华中农业大学,教授,博导
2019.05-2020.05 新加坡南洋理工大学,研究员 (Research Fellow)

科研成果
本课题组长期招聘硕士生、博士生、博士后。欢迎有志于从事人工智能相关领域研究的同学加入。




科研成果:
先后主持国家自然科学基金2项,在IEEE TPAMI、IEEE TIP、IEEE TCYB、IEEE TSP等国际顶级期刊和学术会议上发表SCI和EI论文40余篇,其中包括12篇IEEE Transactions期刊论文。长期从事机器学习和模式识别的理论、算法和应用研究,致力于设计可解释性高、泛化能力强和扩展性好的机器学习算法,建立相应的理论解释和保证,并将其应用于解决现实世界中的问题。




科研项目:
1. 国家自然科学基金面上项目,项目编号:**,2021.01-2024.12,主持.
2. 国家自然科学基金青年项目,项目编号:**,2018.01-2020.12,主持.




代表性论文:
1. Yulong Wang, Yuan Yan Tang, Luoqing Li, Hong Chen, and Jianjia Pan, “Atomic Representation-based Classification: Theory, Algorithm and Applications,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, no. 1, pp. 6-19, Jan. 2019. (SCI 一区,CCF A类,影响因子:17.861)
2. Yulong Wang, Yap-Peng Tan, Yuan Yan Tang, et al, “Generalized and Discriminative Collaborative Representation for Multiclass Classification,” IEEE Transactions on Cybernetics, accepted, 2020, doi: 10.1109/TCYB.2020.**. (SCI 一区,CCF B类,影响因子:11.47)
3. Yulong Wang, Yuan Yan Tang, Luoqing Li, and Hong Chen, “Modal Regression based Atomic Representation for Robust Face Recognition and Reconstruction,” IEEE Transactions on Cybernetics, vol. 50, no. 10, pp. 4393-4405, Oct. 2020. (SCI 一区,CCF B类,影响因子:11.47)
4. Yulong Wang, Yuan Yan Tang, Luoqing Li, and Xianwei Zheng, “Block sparse representation for pattern classification: Theory, extensions and applications,” Pattern Recognition, vol. 88, pp. 198–209, 2019. (SCI 一区,CCF B类,影响因子:7.196)
5. Yulong Wang, Yuan Yan Tang, and Luoqing Li, “Correntropy Matching Pursuit with Application to Robust Digit and Face Recognition,” IEEE Transactions on Cybernetics, vol. 47, no. 6, pp. 1354-1366, June 2017. (SCI 一区,CCF B类,影响因子:11.47)
6. Yulong Wang, Yuan Yan Tang, and Luoqing Li, “Robust Face Recognition via Minimum Error Entropy based Atomic Representation,” IEEE Transactions on Image Processing, vol. 24, no. 12, pp. 5868-5878, Dec. 2015. (SCI 一区,CCF A类,影响因子:6.79)
7. Yulong Wang, Yuan Yan Tang, and Luoqing Li, “Minimum Error Entropy Based Sparse Representation for Robust Subspace Clustering,” IEEE Transactions on Signal Processing, vol. 63, no. 15, pp. 4010-4021, Aug. 2015. (SCI 一区,影响因子:5.23)
8. Yulong Wang, Cuiming Zou, Yuan Yan Tang, Luoqing Li and Zhaowei Shang, “Cauchy greedy algorithm for robust sparse recovery and multiclass classification,” Signal Processing, vol. 164, pp. 284-294, 2019. (SCI 一区,影响因子:4.384)
9. Yuan Yan Tang, Yulong Wang, Luoqing Li, and C. L. Philip Chen, “Structural Atomic Representation for Classification,” IEEE Transactions on Cybernetics, vol. 45, no. 12, pp. 2905-2913, Dec. 2015. (SCI 一区,CCF B类,影响因子:11.47)
10. Hong Chen, and Yulong Wang, “Kernel-based Sparse Regression with the Correntropy-induced Loss,” Applied and Computational Harmonic Analysis, vol. 44, no. 1, pp. 144-164, Jan., 2018. (SCI 一区,影响因子:2.573)

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