Jingyuan Lv (Lyu)'s Homepage

 

Ph.D. Candidate

Department of Electrical Engineering
The State University of New York (SUNY) at Buffalo

 

Office: 314A Bonner Hall
Phone: (716) 645-1029
Email: jlv27@buffalo.edu

 

About Me

I'm currently a fifth-year Ph.D. student in the Computational Biomedical Imaging Laboratory (CBIL), Department of Biomedical Engineering and Department of Electrical Engineering, State University of New York at Buffalo (SUNY Buffalo). My advisor is Professor Leslie Ying. Before joining CBIL in September 2011, I received my Bachelor's and Master's degree in Electrical Engineering (September 2004 - June 2010) in Xidian University, Xi'an, China.

Research Interests

bulletParallel MR Image reconstruction
bulletDynamic MRI
bullet Compressed sensing

 

Publications

bullet Jingyuan Lyu, Yihang Zhou, Ukash Nakarmi, Chao Shi, and Leslie Ying, “KerNL: Parallel imaging reconstruction using Kernel-based NonLinear method”, International Society of Magnetic Resonance in Medicine Scientific Meeting (ISMRM), pp. 2130, Toronto, ON, Canada, May 2015.
bullet Jingyuan Lyu, Yihang Zhou, Ukash Nakarmi, and Leslie Ying, “Highly Accelerated Dynamic Imaging Reconstruction using Low Rank Matrix Completion and Partial Separability Model”, International Society of Magnetic Resonance in Medicine Scientific Meeting (ISMRM), pp.2128, Toronto, ON, Canada, May 2015.
bullet Ukash Nakarmi, Yanhua Wang, Jingyuan Lyu and Leslie Ying, “Accelerating Dynamic Imaging using Compressed Sensing with Self-learned Nonlinear Dictionary (NL-D)”, The IEEE International Symposium on Biomedical Imaging (ISBI), Brooklyn, NY, USA, April 2015. Oral, Acceptance Rate: 18%
bullet Ukash Nakarmi, YanhuaWang, Jingyuan Lyu, Leslie Ying, “Compressed-Sensing Dynamic Imaging with Self-Learned Nonlinear Dictionary”, International Society of Magnetic Resonance in Medicine Scientific Meeting (ISMRM), pp. 577, Toronto, ON, Canada, May 2015. Oral, Acceptance Rate: 13%
bullet Yihang Zhou, Chao Shi, Fuquan Ren, Jingyuan Lyu, Dong Liang and Leslie Ying, “Accelerating MR Parameter Mapping using Nonlinear Manifold Learning and Supervised Pre-Imaging”, IEEE International Symposium on Biomedical Imaging, Brooklyn, NY, USA, May 2015.
bullet Chao Shi, Yihang Zhou, Yanhua Wang, Jingyuan Lyu, Dong Liang, Leslie Ying, “Recovery of Parametric Manifold from Reduced Measurements: Application to Magnetic Resonance Parameter Mapping”, IEEE International Symposium on Biomedical Imaging (ISBI), Brooklyn, NY, USA, May 2015.
bullet Wan Kim, Yihang Zhou, Jingyuan Lyu, Leslie Ying, “Conflict-cost based random sampling design for parallel MRI with low rank constraints”, Proc. SPIE 9484, Compressive Sensing IV, 94840P (May 19, 2015); doi:10.1117/12.2179264. Oral, Acceptance Rate: 50%
bullet Yihang Zhou, Chao Shi, Yanhua Wang, Jingyuan Lyu, and Leslie Ying, “PRAIRIE: Accelerating MR Parameter Mapping Using Kernel-Based Manifold Learning and Pre-Imaging”, International Society of Magnetic Resonance in Medicine Scientific Meeting (ISMRM), pp. 3585, Toronto, Canada, May 2015.
bullet Ren He, Jingyuan Lyu, Leslie Ying, “Highly Accelerated 3D Parallel Imaging with Transitional Auto-calibration (3D-PITA)”, International Society of Magnetic Resonance in Medicine Scientific Meeting (ISMRM), pp.2424, Toronto, Canada, May 2015.
bulletJingyuan Lyu, Yuchou Chang, Leslie Ying, “Fast GRAPPA Reconstruction with Random Projection”, Magnetic Resonance in Medicine, published online: 17 Jul 2014, DOI: 10.1002/mrm.25373.
bulletJingyuan Lyu, Pascal Spincemaille, Martin R Prince, Yi Wang, Fuquan Ren, Leslie Ying, “Highly Accelerated 3D Dynamic Contrast Enhanced MRI Using Partial Separability Model and JSENSE”, International Society of Magnetic Resonance in Medicine Scientific Meeting, pp. 333, Milan, Italy, May 2014.
bulletXinran Zhong, Jingyuan Lyu, Chuangjian Cai, Kui Ying, Leslie Ying, “A Combination of Linear and Nonlinear GRAPPA with Variable Density Sampling”, International Society of Magnetic Resonance in Medicine Scientific Meeting, pp. 4391, Milan, Italy, May 2014.
bulletJingyuan Lyu, Pascal Spincemaille, Yi Wang, Yihang Zhou, Fuquan Ren, Leslie Ying, “Highly accelerated 3D dynamic contrast enhanced MRI from sparse spiral sampling using integrated partial separability model and JSENSE”, SPIE Proceedings, vol 9109, Compressive Sensing III, Baltimore, Maryland, USA, May 2014.
bulletJingyuan Lyu, Yuchou Chang, Leslie Ying, “Efficient GRAPPA reconstruction using random projection”, IEEE International Symposium on Biomedical Imaging, 2013.
bullet Jingyuan Lyu, Yuchou Chang, Leslie Ying, “A random projection approach to highly efficient GRAPPA reconstruction”, International Society of Magnetic Resonance in Medicine Scientific Meeting, 2013.
bulletHongtao Lu, Xianzhong Long, Jingyuan Lv, “A Fast Algorithm for Recovery of Jointly Sparse Vectors based on the Alternating Direction Methods”, AI and Statistics 2011.
bulletJingyuan Lv, Yunsong Li, Bormin Huang, and Chengke Wu, “Hyperspectral compressive sensing”, Proc. SPIE, Vol. 7810, 781003 (2010); doi:10.1117/12.860247.

 

Patents

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Random-Projection GRAPPA: An Efficient Computational Method for Parallel MRI Reconstruction

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Hyperspectral Compressive Sensing Imager and Imaging Methods
State Intellectual Property Office of the P.R.C. Native Language Patents (SIPO), Document Number: 201010220824.1

 

Awards

bulletHonorable Mention in EE Poster Competition (SUNY, Buffalo), 2013
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Graduate Fellowship Award (Xidian University), 2008-2010

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Youth Volunteers Award, 2009

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Honorable mention in CCTV English speaking contest, Shaanxi Province, China, 2008

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Top 3 in Microsoft Imagine Cup, Xidian Campus, 2006

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First-class Scholarship (Xidian University), 2005-2006

bulletSpark Cup Award (Xidian University), 2005

 

Professional Membership

bulletIEEE Student Member

Jan. 2010 to Present

 

Links

bulletCBIL
bulletProfessor Leslie Ying