LIANG Dong

Education experience: 

1、B. S. in Electronics Engineering, Hefei University of Technology, 1998 

2、M.S. in Signal and Information Processing, Hefei University of Technology, 2002   

3、Ph.D. in Pattern Recognition and Intelligent System, Shanghai Jiaotong University, 2006 

Work experience: 

1、PostdoctoralResearcher,  The University of HongKong,  2006 –2007 

2、Research Scientist and Postdoctoral ResearchAssociate,   University of  Wisconsin –Milwaukee, USA,   2007 – 2011 

3、Associate Professor,    ShenzhenInstitutes of Advanced Technology,    2011 – 2014 

4、Professor, ShenzhenInstitutes of Advanced Technology,2015-present

1、2013 、2016 Magnetic Resonance In Medicine “Distinguished Reviewer” 

2、Chinese Academy of Sciences Award for science and Technology Development Award - scientific and technological contribution Grade 2

PAPER:

1. Dong Liang，Bo Liu，Jiunjie Wang， Leslie Ying*，Accelerating SENSE using compressed sensing，Magnetic Resonance in Medicine，2009，62（6）：1574-1584. 
2. Dong Liang，Haifeng Wang，Yuchou Chang，Leslie Ying*，Sensitivity encoding reconstruction with nonlocal total variation regularization，Magnetic Resonance in Medicine，2011，65（5）：1384-1392. 
3. Dong Liang，Edward V. R. DiBella，Rong-rong Chen，Leslie Ying*，k-t ISD: Dynamic cardiac MR imaging using compressed sensing with iterative support detection，Magnetic Resonance in Medicine，2012，68：41-53 
4. Shanshan Wang, Jianbo Liu, Qiegen Liu, Leslie Ying, Xin Liu, Harrong Zheng, Dong Liang, “ Iterative feature refinement for accurate undersampled MR image reconstruction”, Physics in Medicine and Biology;61(9):3291-3316, 2016. ( Featured Article) 
5. Qiegen Liu，Shanshan Wang，Leslie Ying，Xi Peng，Yanjie Zhu，Dong Liang，Adaptive Dictionary Learning in Sparse Gradient Domain for Image Recovery，IEEE Transactions on Image Processing，2013，22（12）：4652-4663 
6. Yin Wu，Yanjie Zhu，Qiuyang Tang，Chao Zou，Wei Liu，Ruibin Dai，Xin Liu, Ed X. Wu，Leslie Ying，Dong Liang，Accelerated MR Diffusion Tensor Imaging Using Distributed Compressed Sensing，Magnetic Resonance in Medicine，2014，71（2）：763-772 
7. Yanjie Zhu ，Qinwei Zhang ，Qiegen Liu，Yi-Xiang J Wang，Xin Liu，Hairong Zheng，Dong Liang，Jing Yuan，PANDA- T1ρ :Integrating Principal Component Analysis and Dictionary Learning for Fast T1ρMapping，Magnetic Resonance in Medicine，2015，73（1）：263-272 
8. Xi Peng，Leslie Ying，Qiegen Liu，Yanjie Zhu，Yuanyuan Liu，Xiaobo Qu，Xin Liu，Hairong Zheng，Dong Liang，Incorporating Reference in Parallel Imaging and Compressed Sensing，Magnetic Resonance in Medicine，2014，73（4）：1490-1504 
9. Xi Peng, Leslie Ying, Yuanyuan Liu, Jing Yuan, Xin Liu, Dong Liang, "Accelerated exponential parameterization of T2 relaxation with model-driven low rank and sparsity priors (MORASA)", Magnetic Resonance in Medicine, 76(6):1865-1878, 2016 
10. Qiegen Liu ，Shanshan Wang，Kun Yang，Jianhua Luo，Yuemin Zhu，Dong Liang，Highly undersampled magnetic resonance image reconstruction using two-level Bregman method with dictionary updating，IEEE Transactions on Medical Imaging，2013，32（7）：1290-1301 
11. Xi Peng，Dong Liang，MR Image Reconstruction with Convolutional Characteristic Constraint (CoCCo)，IEEE Signal Processing Letters，2015，22（8）：1184-1188 
12. Yanjie Zhu, Xi Peng, Yin Wu , Wu EX, Leslie Ying, Xin Liu ,Hairong  Zheng ,Dong Liang. Direct diffusion tensor estimation using a model-based method with spatial and parametric constraints. Medical Physics, 44（2）：570~580

14 Patents have obtained authorization: 

1. Systems and methods for accelerating the 
2. acquisition and reconstruction of magnetic resonance images ,US 8587307B2 
3. Systems for parallel imaging of magnetic resonance imaging,ZL201210430443.5 
4. Systems and methods for accelerating the 
5. acquisition and reconstruction of magnetic resonance parameter mapping images, ZL201310617004.X 
6. Systems and methods for accelerating the 
7. acquisition and reconstruction of magnetic resonance images ,ZL201310390916.8 
8. Systems and methods for accelerating the 
9. acquisition and reconstruction of magnetic resonance images， ZL201210528546.5 
10. Systems and methods for elastic reconstruction modeling in, Magnetic resonance elastography ZL201210572449.6 
11. Systems and methods for accelerating the 
12. acquisition and reconstruction of magnetic resonance images ,ZL201210584797.5 
13. Systems and methods for reconstruction of magnetic resonance parameter mapping images, ZL201210108964.9 
14. A method of GRAPPA based on machine learning,ZL201210288373.4 
15. Methods for accelerating the 
16. acquisition and reconstruction of magnetic resonance images, ZL201210528522.X 
17. Systems and methods for dynamic magnetic resonance imaging,ZL201210390285.5 
18. Methods for acquisition of magnetic resonance images, ZL201210098783.2 
19. Systems and methods for reconstruction of magnetic resonance parameter mapping images ，ZL201310671860.3 
20. Systems and methods for reconstruction of magnetic resonance parameter mapping images,ZL201310654799.1