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。
研究领域
数值代数与优化理论方法在图像处理问题中的应用。
近期论文
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).
