RESEARCH INTERESTS

• Big Data
  
• Nonlinear/Large Scale/Sparse Optimization
• Operations Research
  

BIOGRAPHY

Dr. Hao Wang is expected to obtained his Ph.D. degree in Industrial Engineering, Lehigh University, USA in April 2015, and received his Bachelor's and Master's degree in Mathematics, Beihang University (BUAA) in 2010 and 2007 respectively. He has participated in research internship opportunities at ExxonMobil Corporate Strategic Research Lab, Mitsubishi Electric Research Lab, and GroupM R&D Department during his Ph.D. study. Hao has worked in the area of big data and optimization. His research has been published in the top journal "SIAM Journal on Optimization". His current interests include Large Scale Optimization, Sparse Optimization, and Distributed Optimization.

Dr. Hao Wang will join School of Information Science and Technology at ShanghaiTech University as an Assistant Professor, PI in September 2015.

SELECTED PUBLICATIONS

1. J. V. Burke, F. E. Curtis, H. Wang, J. Wang, "Iterative Reweighted Linear Least Squares for Exact Penalty Subproblems on Product Sets", SIAM Journal on Optimization, vol. 25, no. 1, pp. 261–294, Jan. 2015.
2. J. V. Burke, F. E. Curtis, H. Wang, J. Wang, "A Sequential Quadratic Optimization Algorithm with Fast Infeasibility Detection", SIAM Journal on Optimization, vol. 24, no. 2, pp. 839-872, Jun. 2014.
3. H. Wang, H. Liu, Y. Xia, "Two-point Step Size Iterative Soft-thresholding Method for Sparse Reconstruction, International Journal for Computer Mathematics", vol. 88, no. 12, pp. 2527-2537, Aug. 2010.
4. H. Wang, H. Liu, Y. Xia, "Two-step Version of the Fixed Point Continuation Method for Sparse Reconstruction", Frontiers of Mathematics in China, vol. 5, no. 3, pp. 575-588, Sep. 2010.