Gang WANG

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Hi, welcome to my personal webpage! I'm a currently PhD candidate in the Department of Electrical and Computer Engineering and the Digital Technology Center at the University of Minnesota where I am a member of the SPiNCOM I am a member of the SPiNCOM research group directed by Prof. Georgios B. Giannakis. I earned my Bachelor degree in Electrical Engineering and Automation from the Beijing Institute of Technology, Beijing, China in 2011.

Contact

Digital Technology Center
University of Minnesota, Minneapolis
117 Pleasant Street SE, Minneapolis, MN, 55455
Office: Room 460 Walter Library
E-mail: gangwang AT umn.edu.

Recent news

  1. 3/2018: Defended my thesis on ‘‘Non-convex Phase Retrieval Algorithms and Performance Analysis.”

  2. 3/2018: Check our new submission on graph canonical correlation analysis. Check it out here.

  3. 3/2018: Paper ‘‘Phase Retrieval via Reweighted Amplitude Flow” was accepted to the IEEE Transactions on Signal Processing. Matlab codes available for download here.

  4. 10/2017: Paper on ‘‘Sparse Phase Retrieval via Truncated Amplitude Flow” accepted to the IEEE Transactions on Signal Processing. Matlab codes available for download here.

  5. 10/2017: Paper on ‘‘Discriminative Principal Component Analysis” for joint analysis of multiple large-scale datasets submitted. Available here. Check it out!

  6. 9/2017: We won a Best Student Paper Award in the EUSIPCO’2017 Conference for the joint work with Profs. G. B. Giannakis and J. Chen on efficient algorithms for large-scale phase retrieval, which was selected from a few hundred submissions based on rigorous evaluations of the selection committee.

  7. 8/2017: Paper coauthored with Profs. G. B. Giannakis, Y. Saad (CS, UMN), and J. Chen (BIT) accepted to NIPS’2017 (Acceptance rate: 21%), which presents a new algorithm for solving systems of random quadratic equations benchmarking the numerical performance. Matlab codes available for download here.

  8. 8/2017: Paper on randomized block Franke-Wolfe algorithms, joint work with L. Zhang, D. Romero (Univ. of Agder, Norway), accepted to the IEEE Transactions on Signal Processing, in which we develop a rich family of feasible step sizes for running Frank-Wolfe in parallel. Congratulations Liang!

  9. 7/2017: Paper “Solving Random Systems of Quadratic Equations via Truncated Amplitude Flow,” joint work with Prof. Y. Eldar (Technion), accepted to the IEEE Transactions on Information Theory. Matlab codes available here.

  10. 7/2017: Paper on scalable composite optimization algorithms for robust LAV (least-absolute-value) power system state estimation submitted. Check it out in Publications.

  11. 6/2017: Invited book chapter on “Advances in Power System State Estimation,” coauthored with Profs. V. Kakatos (VT), H. Zhu (UT Austin), and G. B. Giannakis submitted. The book chapter offers a contemporary view of state estimation for modern autonomous energy grids.

  12. 4/2017: Paper “Solving Large-scale Random Systems of Quadratic Equations via Stochastic Truncated Amplitude Flow” accepted to the IEEE Transactions on Signal Processing. Matlab codes available here.

  13. 12/2017: Paper “Solving Random Systems of Quadratic Equations via Truncated Generalized Gradient Flow” was presented at the NIPS’2016. The proposed algorithm benchmarks the performance of solving generalized phase retrieval under Gaussian random measurements or coded diffraction patterns. A full version along with Matlab implementations is available at here.