副高职称

杨成竹

杨成竹

特别副研究员

预聘助理教授

出生年月:199210

办公电话:010-6891XXXX

电子邮件:ycz@bit.edu.cn


所在学科

信息与通信工程

研究方向

水声探测、压缩感知、深度学习、非凸优化

个人简历

2021.09 至今:任职于 北京理工大学 澳门永利总站线路检测

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

代表性学术成果

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

荣誉奖励

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