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Scholarly Interest Report
         
Yin Zhang
Professor
Professor of Computational and Applied Mathematics
 
e-mail:yzhang@rice.edu
 
  • B.S. (1977) Environmental Engineering, Chongqing Institute of Architecture and Engineering, China
  • Ph.D. (1987) Applied Mathematics, State University of New York at Stony Brook
 
Primary Department
   Department of Computational and Applied Mathematics
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Department Affiliations
 
  • Keck Center for Quantitative Biomedical Sciences
  • Ken Kennedy Institute for Information Technology
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    Websites
     Home Page
     
    Research Areas
     Computational optimization in general: algorithm development and analysis, particularly algorithms for L1-norm, total variation and low-rank regularized optimization problems in computational image and data processing and computational medicine.
     
    Teaching Areas
     Engineering Computing, numerical analysis and optimization
     
    Selected Publications
     Refereed articles
     

    Xin Liu, Zaiwen Wen and Yin Zhang "An Efficient Gauss-Newton Algorithm for Symmetric Low-Rank Product Matrix Approximations." SIAM Journal on Optimization, 25-3 (2015) : 1571-1608.

     
     

    Zaiwen Wen, Chao Yang, Xin Liu and Yin Zhang "Trace-Penalty Minimization for Large-scale Eigenspace Computation." Journal of Scientific Computing (2015)

     
     

    Chengbo Li, Hong Jiang, Paul Wilford, Yin Zhang and Mike Scheutzow "A new compressive video sensing framework for mobile broadcast." IEEE Transaction on Broadcast, 59(1) (2013) : 197-205.

     
     

    Chengbo Li, Wotao Yin, Hong Jiang, and Yin Zhang "An efficient augmented Lagrangian method with applications to total variation minimization." Computational Optimization and Applications, 56(3) (2013) : 507-530.

     
     

    Xin Liu, Zaiwen Wen and Yin Zhang "Limited Memory Block Krylov Subspace Optimization for Computing Dominant Singular Value Decompositions." SIAM Journal on Scienti c Computing, 35-3 (2013) : A1641-A1668.

     
     

    Yin Zhang "Theory of Compressive Sensing via L1-Minimization: A Non-RIP Analysis and Extensions." Journal of Operations Research Society of China, 1(1) (2013) : 79-105.

     
     

    Chengbo Li, Ting Sun, Kevin Kelly and Yin Zhang "A Compressive Sensing and Unmixing Scheme for Hyperspectral Data Processing." IEEE Transactions on Image Processing, 21 (3) (2012) : 1200-1210.

     
     

    Hong Jiang, Chengbo Li, Raziel Haimi-Cohen, Paul Wilford and Yin Zhang "Scalable video coding using compressive sensing." Bell Labs Technical Journal (BLTJ), 16 (4) (2012) : 149-169.

     
     

    Yangyang Xu, Wotao Yin, Zaiwen Wen, and Yin Zhang "An Alternating Direction Algorithm for Matrix Completion with Nonnegative Factors." Frontiers of Mathematics in China, 7(2) (2012) : 365-384.

     
     

    Yuan Shen, Zaiwen Wen, and Yin Zhang "Augmented Lagrangian Alternating Direction Method for Matrix Separation Based on Low-Rank Factorization." Optimization Methods and Software (2012) In Press

     
     

    Zaiwen Wen, Wotao Yin, and Yin Zhang "Solving a Low-Rank Factorization Model for Matrix Completion by a Nonlinear Successive Over Relaxation Algorithm." Mathematical Programming Computation, 4 (2012) : 333-361.

     
     Articles
     

    Zaiwen Wen and Yin Zhang "Accelerating Convergence by Augmented Rayleigh-Ritz Projections For Large-Scale Eigenpair Computation." SIMAX: 2016.Submitted

     
     

    Zaiwen Wen and Yin Zhang "Block algorithms with augmented Rayleigh-Ritz projections for large-scale eigenpair computation."  Technical report CAAM TR15-01: 2015.

     
     

    Lijun Xu, Bo Yu and Yin Zhang "An Alternating Direction and Projection Algorithm for Structure-enforced Matrix Factorization."  (2014) Submitted

     
     

    Xin Liu, Zaiwen Wen and Yin Zhang "An Efficient Gauss-Newton Algorithm for Symmetric Low-Rank Product Matrix Approximations."  (2014) Submitted

     
     

    Chengbo Li, Wotao Yin, Hong Jiang, and Yin Zhang "An Efficient Augmented Lagrangian Method with Applications to Total Variation Minimization." Technical report CAAM TR12-13 (2012)

     
    Presentations
     Invited Talks
     

    Invited Speaker.  "A New Approach to Solving the K-Means Clustering Problem." LSEC/NCMIS, Chinese Academy of Sciences, Beijing, China. (June 18th, 2015)

     
     

    Invited Conference Speaker.  "Block algorithms in an augmented Rayleigh-Ritz framework for large-scale exterior eigenpair computation." Sparse days in St Girons III, Saint Girons, France. (June 29th - July 2nd, 2015)

     
     

    Invited Speaker.  "Block algorithms with augmented Rayleigh-Ritz projections for large-scale eigenpair computation." Sparse days, St Girons III St Girons, France. (July 2nd, 2015) With (with Z. Wen)

     
     

    Invited Speaker.  "Block algorithms with augmented Rayleigh-Ritz projections for large-scale eigenpair computation." Applied Math Seminar. University of California Davis, Davis, CA. (May 21, 2015)

     
     

    Invited Speaker.  "Block algorithms with augmented Rayleigh-Ritz projections for large-scale eigenpair computation." School of Mathematic. Chongqing University, Chongqing, China. (June 16, 2015)

     
     

    Invited Speaker.  "Towards an optimal scalability in computing extreme eigenpairs of large matrices." SIAM Conference on Computational Science and Engineering, Salt Lake City, Utah. (March 17, 2015) With (with Z. Wen and X. Liu)

     
     

    Invited Speaker.  "A Gauss-Newton method for low-rank matrix approximation." The 20th IFORS Conference, Barcelona, Spain. ( July 15, 2014) With (with X. Liu and Z. Wen)

     
     

    Invited Speaker.  "A Gauss-Newton method for low-rank matrix approximations." Department of Computational and Applied Mathematics, Rice University, Houston, TX. (March 17, 2014.)

     
     

    Invited Speaker.  "An Efficient Gauss-Newton Algorithm for Symmetric Low-Rank Product Matrix Approximations." Institute of Computational Mathematics, Chinese Academy of Sciences, Beijing, China. (June 3, 2014)

     
     

    Invited Speaker.  "An Efficient Gauss-Newton Algorithm for Symmetric Low-Rank Product Matrix Approximations." Department of Mathematics. Chongqing University, Chongqing, China. (June 12, 2014)

     
     

    Invited Speaker.  "An SOR Algorithm for Low-Rank Matrix Completion." Beijing International Center of Mathematics Research (BICMR). Peking University, Beijing, China. (June 4, 2014)

     
     

    Invited Speaker.  "An SOR Algorithm for Low-Rank Matrix Completion." Department of Mathematics. University of Electronic Science and Technology of China, Chengdu, China. (June 20, 2014)

     
     

    Invited Speaker.  "Symmetric Low-Rank Product Optimization: Gauss-Newton Method." 11th SIAM Conference on Optimization, San Diago, California. (May 20, 2014) With (with X. Liu and Z. Wen)

     
     

    Invited Speaker.  "Nonlinear Optimization." The 11th EUROPT Workshop on Advances in Continuous Optimization, Florence, Italy. (June 28th, 2013)

     
     

    Invited Speaker.  "Trace-Penalty Minimization for Large-scale Eigenspace Computation." The 26th European Conference On Operational Research, Rome, Italy. (July 2nd, 2013) With (with Z. Wen, C. Yang and X. Liu)

     
     

    Invited Speaker.  "Trace-Penalty Minimization for Large-scale Eigenspace Computation." SIAM Conference on Computational Science and Engineering, Boston, Massachusetts. (February 25th, 2013) With (with Z. Wen, C. Yang and X. Liu)

     
     

    Invited Lecturer.  "A Non-RIP Theory for Compressive Sensing." A 3-lecture series at Institute of Computational Mathematics, Chinese Academy of Sciences, Beijing, China. (May 25th-June 4th, 2012.)

     
     

    Invited Speaker.  "A Penalty-based Trace Minimization Method for Large-scale Eigenspace Computation." College of Mathematics and Statistics, Chongqing University, Chongqing, China. (December 6th, 2012)

     
     

    Invited Speaker.  "Compressive Sensing: A Non-RIP Analysis." College of Mathematics and Statistics, Chongqing University, Chongqing, China. (June 19, 2012)

     
     

    Invited Speaker.  "Hyperspectral Image Compressive Sensing and Unmixing." 2012 Conference of LSEC Center for Optimization and Applications, Chinese Academy of Sciences, Lang-Ya Mountain, Hebei, China. (June 23, 2011)

     
     

    Invited Speaker.  "Towards a Massively Parallel Algorithm for Large-Scale Eigenspace Computation." Institute of Computational Mathematics, Chinese Academy of Sciences, Beijing, China. (June 22, 2012)

     
     Keynote Speaker
     

    Invited Plenary Speaker.  "A Non-RIP Theory for Compressive Sensing via L1-Minimization." International Symposium on Compressed Sensing: Theory and Applications, Tianjin University, Tianjin, China. (June 9th-12th, 2012)

     
     Workshops
     

    "A Gauss-Newton Algorithm for Symmetric Low-Rank Product Optimization." The 11th EUROPT Workshop on Advances in Continuous Optimization, Florence, Italy. (June 28th, 2013) With (with X. Liu and Z. Wen)

     
    Editorial Positions
     Associate Editor, Mathematical Programming. (2008 - 2008)

     Associate Editor, Journal of Computational Mathematics. (2008 - 2008)

     Associate Editor, Journal of Optimization: Theory and Applications. (2000 - 2008)

     Associate Editor, Journal of Optimization: Theory and Applications. (2000 - 2007)

    Supervised Theses & Dissertations
     Jorge Castanon, M.A. On L1 Minimization for i-ll Conditioned Linear Systems with Piecewise Polynomial Solutions. (2013) (Thesis Director)

     Wei Deng, PhD Generalizations of the Alternating Direction Method of Multipliers for Large-Scale and Distributed Optimization. (2015) (Thesis Co-Director)

     Tim Becker, MA A Branch-and-Cut Method for Solving the Bilevel Clique Interdiction Problem. (2015) (Thesis Committee Member)

     Lu Wang, PhD Functional Data Analysis on Spectroscopic Data. (2015) (Thesis Committee Member)

     Boris Brimkov, MA Efficient Computation of Chromatic and Flow Polynomials. (2015) (Thesis Committee Member)

     Arturo Vargas, MA Radial MILO: A 4D Image Registration Algorithm Based on Filtering Block Match Data via l1 Minimization. (2015) (Thesis Director)

     Jorge Castanon, PhD A Spectrum-based Regularization Approach to Linear Inverse Problems: Models, Learned Parameters and Algorithms. (2015) (Thesis Director)

     Cynthia Wood, PhD Clique Generalizations and Related Problems. (2016) (Thesis Committee Member)