个人简介
个人简介
何亮田，男，汉族，1989年生，安徽六安人，博士，讲师。
教育经历：
2013.09 - 2018.06, 电子科技大学数学科学学院, 获得博士学位。
2011.09 - 2013.06, 电子科技大学数学科学学院, 攻读硕士学位。
2007.09 - 2011.06, 阜阳师范学院数学学院，获得学士学位。
工作经历：
2018.07 - 至今，安徽大学数学科学学院，讲师。
教学情况
本科生课程：高等数学、线性代数。
近期论文
查看导师新发文章
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1，Liangtian He, Yilun Wang, Shaobing Gao, A Support-Denoiser-driven Framework for Single Image Restoration. Submitted. (SCI).
2，Liangtian He, Yilun Wang, et.al, Single Image Restoration Through L2-relaxed Truncated L0 Analysis-sparsity Optimization in Tight Frames. Submitted. (SCI).
3，Liangtian He, Yilun Wang, et.al, A Model-based Plug-and-play Framework for Image Deconvolution with Unknown Boudaries and Incomplete Observations. Submitted. (SCI).
4，Liangtian He, Yilun Wang, Iterative Support Detection-Based Split Bregman Method for Wavelet Frame-Based Image Inpainting. IEEE Transactions on Image Processing. 23(12), 5470-5485, 2014. (SCI，CCF A ).
5，Liangtian He, Yilun Wang, Zhaoyin Xiang, Support Driven Wavelet Frame-based Image Deblurring. Information Sciences 479, 250-269, 2019. (SCI，CCF B ).
6，Liangtian He, Yilun Wang, Image Smoothing via Truncated L0 Gradient Regularization, IET Image Processing. 12(2), 226-234, 2018. (SCI， CCF C ) .
7，Liangtian He, Yilun Wang, Zhaoyin Xiang, Wavelet Frame-based Image Restoration Using Sparsity, Nonlocal and Support Prior of Frame Coefficients, The Visual Computer. 35(2), 151-174, 2019. (SCI， CCF C ) .
8，Liangtian He, Yilun Wang, A Greedy Multistage Convex Relaxation Algorithm Applied to Structured Group Sparse Reconstruction Problems Based on Iterative Support Detection. Mathematical Problems in Engineering. 2014. (SCI) .
9，Liangtian He, Yilun Wang, Chengqiang Bao, Nan Zhou, Wavelet Frame-based Truncated L1-regularized Image Deblurring. IEEE International Conference on Wireless Communications and Signal Processing. 1-5, 2016. (EI).
10，Chengqiang Bao, Liangtian He，Yilun Wang, Linear Spatial Pyramid Matching Using Non-convex and Non-negative Sparse Coding for Image Classification. IEEE China Summit and International Conference on Signal and Information Processing. 186-190, 2015. (EI).
11，Nan Zhou, Hong Cheng, Ya-li Zheng, Liangtian He，Witold Pedrycz，Unsupervised Feature Selection by Non-negative Sparsity Adaptive Subspace Learning. IEEE International Conference on Wavelet Analysis and Pattern Recognition. 18-24, 2016. (EI).
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