杨成竹 - 北京理工大学 - 信息与电子学院

个人简介

2021.09 至今：任职于北京理工大学信息与电子学院 2016.09-2021.06：就读于清华大学信息与通信工程专业博士 2013.09-2016.06：就读于四川大学电路与系统专业硕士 2009.09-2013.06：就读于四川大学电子信息工程专业本科学术兼职及其他 IEEE Signal Processing Society会员，IEEE Transactions on Signal Processing、Signal Processing、SCIENCE CHINA Information Sciences审稿人

研究领域

水声探测、压缩感知、深度学习、非凸优化

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Chengzhu Yang, X. Shen, H. Ma, Y. Gu, and H. C. So, Sparse Recovery Conditions and Performance Bounds for lp-Minimization. IEEE Transactions on Signal Processing, vol. 66, pp. 5014-5028, 2018. Chengzhu Yang, X. Shen, H. Ma, B. Chen, Y. Gu and H. C. So, Weakly Convex Regularized Robust Sparse Recovery Methods with Theoretical Guarantees, IEEE Transactions on Signal Processing, vol. 67, pp. 5046-5061, 2019. Chengzhu Yang, Y. Gu, B. Chen, H. Ma and H. C. So, Learning Proximal Operator Methods for Nonconvex Sparse Recovery with Theoretical Guarantee, IEEE Transactions on Signal Processing, vol. 68, pp. 5244-5259, 2020. Chengzhu Yang, Y. Gu, B. Chen, H. Ma and H. C. So， Two-Dimensional Learned Proximal Gradient Algorithm for Fast Sparse Matrix Recovery, IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 68, pp. 1492-1496, 2021. Q. Liu, Chengzhu Yang, Y. Gu and H. C. So, Robust Sparse Recovery via Weakly Convex Optimization in Impulsive Noise, Signal Processing, vol. 152, pp. 84-89, 2018.