1.机器学习

2.电磁特性分析及反向设计

3.信号检测与估计

4.雷达目标识别

1.模拟电路

2.目标检测与时空通信

Qiong Wang. Non-Convex Weighted Lp Minimization based Group Sparse Representation Framework for Image Denoising. IEEE Signal Processing Letters, vol. 24, no. 11, pp. 1686-1690, Nov. 2017.

Zhiyuan Zha, Xinggan Zhang, Qiong Wang*, Yechao Bai, Yang Chen, Lan Tang and Xin Liu. Group sparsity residual constraint for image denoising with external nonlocal self-similarity prior. Neurocomputing, Volume 275, Pages 2294-2306, 2018. 

Zhiyuan Zha, Xinggan Zhang, Qiong Wang*, Lan Tang and Xin Liu. Group-based sparse representation for image compressive sensing reconstruction with non-convex regularization. Neurocomputing, Volume 296, 28 June 2018, Pages 55-63. 

Zhiyuan Zha, Xinggan Zhang, Yu Wu, Qiong Wang*, Xin Liu, Lan Tang and Xin Yuan. Non-convex weighted ℓp nuclear norm based ADMM framework for image restoration.  Neurocomputing, Volume 311, 15 October 2018, Pages 209-224. 

Zhiyuan Zha, Xin Liu, Xiaohua Huang, Henglin Shi, Yingyue Xu, Qiong Wang*, Lan Tang and Xinggan Zhang. Analyzing the Group Sparsity based on the Rank Minimization Methods. In Proc. of the 18th IEEE International Conference on Multimedia and Expo (ICME 2017). Hong Kong, China, pp. 883-888, 2017. (Best Paper Award)