2005年到2013年，任职于沈阳东软医疗系统有限公司PET-CT研发部；2013年至今，任教于东北大学

主持的项目 1.基于点扩散函数和CT解剖信息的高分辨率、低噪声的PET重建技术（61302013），国家自然科学基金青年项目，2014/01-2016/12，25万元 2.PET整机优化及PET/CT关键技术研发（2014305001），辽宁省工业攻关及成果产业化项目，2014/01-2016/12，50万元。 3.多能谱Micro-CT关键技术研究（N141008001），中央高校基本科研业务费重点项目子项目，2015/01-2017/12，90万元。 4.PSF-PET/CT重建技术研ᠦ୔

一作和通讯作者论文： [1] Teng Y Y, Qi S, Han F, et al, A framework for least squares nonnegative matrix factorization with Tikhonov regularization, Neurocomputing, 2020, 387：78-90. (SCI) [2] Teng Y Y, Yao Y, Qi S, et al, A novel framework for the NMF methods with experiments to unmixing signals and feature representation, Journal of Computational and Applied Mathematics, 2019, 362: 205-218. (SCI) [3] Teng Y Y, Liu Y C, Yang J L, et al, Graph regularized sparse autoencoders with nonnegativity constraints, Neural Processing Letters, 2019, 50 (1) 247–262. (SCI) [4] Hou X W, Teng Y Y#, Kang Y, et al, A separable quadratic surrogate total variation minimization algorithm for accelerating accurate CT reconstruction from few-views and limited-angle data, Medical Physics, 2018, 45: 535-548. [5] Teng Y Y, Qi S L, Dai Y, et al, Semi-supervised nonnegative matrix factorization with commonness extraction. Neural Processing Letters, 2017, 45: 1-14. (SCI) [6] Teng Y Y, Xie X，Liu Y X, et al, Smoothing nonnegative matrix factorization and its application to extraction of time activity curve in dynamic brain PET, Journal of Medical Imaging and Healthy Informatics, 2017, 7 (1), pp. 224-228, 2017. (SCI) [7] Teng Y Y, Qi S L, Xiao D Y, et al, A general solution to least squares problems with box constraints and its applications, Mathematical Problems in Engineering, 2016, ID 3934872, http://dx.doi.org/10.1155/2016/3934872. (SCI) [8] Teng Y Y, Sun H, Guo C and Kang Y, ADMM-EM method for L2-Norm regularized weighted least squares PET reconstruction, Computational and Mathematical Methods in Medicine, 2016, ID 6458289, http://dx.doi.org/10.1155/2016/6458289. (SCI) [9] Teng Y Y，Zhang Y N，Li H，Kang Y, A convergent non-negative deconvolution algorithm with Tikhonov regularization, Inverse Problems, 2015, 31: 035002. (SCI) [10] Teng Y Y, Yuan N M, Zhang Y N, Qi S L and Kang Y, Family of iterative algorithms for medical image reconstruction with Bregman-divergences, Journal of Medical Imaging and Health Informatics, 2015, 5, 1708-1714. (SCI) [11] Teng Y Y and Zhang T, Generalized EM-type reconstruction algorithms for emission tomography, IEEE Transactions on Medical Imaging, 2012, 31: 1724-1733. (SCI) [12] Teng Y Y and Zhang T, Three penalized EM-type algorithms for PET image reconstruction. Computers in Biology and Medicine, 2012, 42: 714–723. (SCI) [13] Teng Y Y and Zhang T, Iterative reconstruction algorithms with α-divergence for PET imaging, Computerized Medical Imaging and Graphics, 2011, 35: 294-301. (SCI)