Yang WANG (汪揚)
Yang WANG (汪揚)
PhD, Harvard University, 1990
Vice-President for Institutional Advancement
Chair Professor
Director of HKUST The Big Data for Bio Intelligence Laboratory
Associate Director of HKUST Big Data Institute
Tel 2358 5956
Office Room 6358
Research Interests

Fractal geometry; Wavelets and frames; Signal processing, Data analysis using machine learning, Wavelets and analysis.

Contact Info
Tel 2358 5956
Office Room 6358
Research Interests

Fractal geometry; Wavelets and frames; Signal processing, Data analysis using machine learning, Wavelets and analysis.

Profile
Prof. Yang Wang took office as Vice-President for Institutional Advancement of HKUST on October 1, 2020. He is also a Chair Professor of Department of Industrial Engineering and Decision Analytics and Department of Mathematics. He joined the HKUST as the Head of the Department of Mathematics in 2014 and he became the Dean of School of Science in 2016.

Prof. Wang is an internationally respected scholar with wide ranging research interests, having published over 100 research journal papers in both pure and interdisciplinary mathematics, many of which in top journals. During his tenure as Dean of Science and Head of Mathematics, Prof. Wang founded the HKUST Big Data Institute and launched the popular Big Data Technology MSc program.

Prof. Wang received his Bachelor degree in Mathematics from the University of Science and Technology of China in 1983 and obtained his PhD degree in Mathematics from Harvard University in 1990. He started his academic career with the Georgia Institute of Technology in 1989 and then moved on to be the Department Chair and Professor of Mathematics at Michigan State University in 2007. He was also a Program Director at the National Science Foundation in the US between 2006 and 2007.

Teaching Activities
  • MATH6913K Reading Course: Bio Rhythm Time Series Analysis and Applications
  • MSBD5004 Mathematical Methods for Data Analysis
Selected Publications
  1. Meng Huang, Yi Rong, Yang Wang, Zhiqiang Xu (2021), Almost everywhere generalized phase retrieval, Applied and Computational Harmonic Analysis, v. 50, January 2021, p. 16-33

  2. Hui Rao, Lei Ren, Yang Wang (2020), Dissecting a square into congruent polygons, Discrete Mathematics and Theoretical Computer Science, v. 22, (1), 2020, article number 21

  3. Bosu Choi, Andrew Christlieb, Yang Wang (2020), High-dimensional sparse Fourier algorithms, Numerical Algorithms, 15 July 2020

  4. Yi Rong, Yang Wang, Zhiqiang Xu (2019), Almost everywhere injectivity conditions for the matrix recovery problem, Applied and Computational Harmonic Analysis, September 2019

  5. Jian-Feng Cai, Haixia Liu, Yang Wang (2019), Fast Rank-One Alternating Minimization Algorithm for Phase Retrieval, Journal of Scientific Computing, v.79, (1), April 2019, p. 128-147

  6. V. Yu Protasov, Yang Wang (2018), Newman cyclotomic polynomials, refinable splines and the Euler binary partition function, Sbornik Mathematics, v.209, (12), December 2018, p. 1783-1802

  7. Roberto Fabio Leonarduzzi, Haixia Liu, Yang Wang (2018), Scattering Transform and Sparse Linear Classifiers for Art Authentication, Signal Processing, v. 150, September 2018, p. 11-19

  8. Yi Rong, Yang Wang, Jianfeng Cai, Zhiqiang Xu (2018), Data recovery on a manifold from linear samples: theory and computation, Annals of Mathematical Sciences and Applications, v. 3, (1), March 2018, p. 337-365

  9. Bing Gao, Qiyu Sun, Yang Wang, Zhiqiang Xu (2018), Phase Retrieval from the Magnitudes of Affine Linear Measurements, Advances in Applied Mathematics, v. 93, February 2018, p. 121-141

  10. Yang Wang, Zhiqiang Xu (2017), Generalized Phase Retrieval: Measurement Number, Matrix Recovery and Beyond, Applied and Computational Harmonic Analysis, September 2017

  11. Huo-Jun Ruan, Yang Wang (2017), Topological Invariants and Lipschitz Equivalence of Fractal Squares, Journal of Mathematical Analysis and Applications, v. 451, (1), July 2017, p. 327-344

  12. Mark Iwen, Aditya Viswanathan, Yang Wang (2017), Robust Sparse Phase Retrieval Made Easy, Applied and Computational Harmonic Analysis, v. 42, (1), January 2017, p. 135-142

  13. Haixia Liu, Jianfeng Cai, Yang Wang (2017), Subspace clustering by (k,k)-sparse matrix factorization, Inverse Problems and Imaging, 11, 3, June 2017, p. 539-551

  14. Rosemary A. Renaut, Michael Horst, Yang Wang, Douglas Cochran, Jakob Hansen (2017), Efficient Estimation of Regularization Parameters via Downsampling and the Singular Value Expansion, BIT Numerical Mathematics, v. 57, (2), June 2017, p. 499-529

  15. Dorin Ervin Dutkay, Chunkit Lai, Yang Wang (2017), Fourier Bases and Fourier Frames on Self-affine Measures, Trends in Mathematics, v. PartF3, 2017, p. 87-111

  16. Mark A. Iwen, Aditya Viswanathan, Yang Wang (2016), Fast Phase Retrieval from Local Correlation Measurements, SIAM Journal on Imaging Sciences, v. 9, (4), 2016, p. 1655-1688

  17. Bing Gao, Yang Wang, Zhiqiang Xu (2016), Stable Signal Recovery from Phaseless Measurements, Journal of Fourier Analysis and Applications, v. 22, (4), August 2016, p. 787-808

  18. Andrew Christlieb, David Lawlor, Yang Wang (2016), A multiscale sub-linear time Fourier algorithm for noisy data, Applied and Computational Harmonic Analysis, v. 40, (3), May 2016, p. 553-574

  19. Yang Liu, Yang Wang (2016), On the decay of the smallest singular value of submatrices of rectangular matrices, Asian-European Journal of Mathematics, v. 9, (4), December 2016, article number 1650075

  20. Yang Wang DSCI (2016), Random Matrices and Erasure Robust Frames, Journal of Fourier Analysis and Applications, August 2016, p. 1-16

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