/siweiyu

Harbin Insititue of Techonology

Personal information

Siwei Yu

Lecture, Department of Mathematics

Harbin Institute of Technology

Harbin 150001, China

Contact

siweiyu@hit.edu.cn

Education

2006-2010, Tsinghua University, B.S. in Aerospace Engineering

2010-2013, Tsinghua University, M.S. in Aerospace Engineering, Supervisor: Prof. Huizhu Yang

2014-2017, Harbin Institute of Technology, Ph.D. in Mathematics, Supervisor: Prof. Jianwei Ma

2014-2016, University of California, Los Angeles, Visiting student in Mathematics Department, Supervisor: Prof. Stanley Osher

Work experience

2017.05 - now, Lecture in Harbin Institute of Technology


Research Interests

Optimization algoirthm, Compressive sensing, Deep learning

Signal processing, Seismic data processing

Publication

MathGeo download

MathGeo2017 is an open-source software package for sparse transform, seismic data processing, and reproducible computational experiments.

  1. S. Yu, J. Ma*, W. Wang, Deep learning for denoising, Geophysics, 2017, revised.

  2. Y. Jia, S. Yu, J. Ma*, Intelligent interpolation by Monte Carlo machine learning, Geophysics, 2017, accepted.

  3. S. Yu, J. Ma*, S. Osher, Geometry mode decomposition, Inverse Problem and Imaging, 2017, accepted.

  4. S. Yu, J. Ma*, Complex variational model decomposition for slop-preserving denoising, IEEE Transactions on Geoscience and Remote Sensing, 2017, accepted.

  5. J. Ma*, S. Yu, Sparsity in compressive sensing, The Leading Edge, 2017, 36 (8), 308-314. (an invited short review).

  6. S. Yu, S. Osher, J. Ma*, Z. Shi, Noise attenuation in a low dimensional manifold, Geophysics, 2017, 82 (5), V321-V334.

  7. Y. Jia, S. Yu, L. Liu, J. Ma*, Orthogonal rank-one matrix pursuit for 3D seismic data interpolation, Journal of Applied Geophysics, 2016, 132, 137-145.

  8. S. Yu, J. Ma*, S. Osher, Monte Carlo data-driven tight frame for seismic data recovery, Geophysics, 2016, 81 (4), V327-V340.

  9. S. Yu, J. Ma*, X. Zhang, M. Sacchi, Interpolation and denoising of high-dimensional seismic data by learning a tight frame, Geophysics, 2015, 80 (5), V119-V132.

  10. S. Yu, A. S. Khwaja, J. Ma*. Compressed sensing of complex-valued data, Signal Processing, 2012, 92 (2), 357-362.

  11. L. Kong, S. Yu, L. Cheng, H. Yang, Application of compressive sensing to seismic data reconstruction, ACTA SEISMOLOGICA SINICA, 2012, 34 (5), 659-666

Links

CV

HIT

HIT Math Department

UCLA CAM

MyPlayground

HIT homepage