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Zhilong Fang and Felix J. Herrmann, “A stochastic quasi-Newton McMC method for uncertainty quantification of full-waveform inversion”, UBC, TR-EOAS-2014-6, 2014.
Zhilong Fang, Chia Ying Lee, Curt Da Silva, Felix J. Herrmann, and Rachel Kuske, “Uncertainty quantification for Wavefield Reconstruction Inversion”, in Inaugural Full-Waveform Inversion Workshop, 2015.
Zhilong Fang, Curt Da Silva, Rachel Kuske, and Felix J. Herrmann, “Uncertainty quantification for inverse problems with weak partial-differential-equation constraints”, Geophysics, vol. 83, pp. R629-R647, 2018.
Zhilong Fang, “Source estimation and uncertainty quantification for wave-equation based seismic imaging and inversion”, The University of British Columbia, Vancouver, 2018.
Zhilong Fang, Tristan van Leeuwen, and Felix J. Herrmann, “Parallel 3D FWI with simultaneous shots”, SINBAD Fall consortium talks. SINBAD, 2013.
Zhilong Fang and Felix J. Herrmann, “PDE-free Gauss-Newton Hessian for Wavefield Reconstruction Inversion”, SINBAD Fall consortium talks. SINBAD, 2017.
Zhilong Fang, Tim Burgess, and Felix J. Herrmann, “Stochastic optimization and its application to seismic inversion”, in Inaugural Full-Waveform Inversion Workshop, 2015.
Zhilong Fang, Chia Ying Lee, Curt Da Silva, Tristan van Leeuwen, Felix J. Herrmann, and Rachel Kuske, “Efficient approach for quantifying uncertainty of wavefield reconstruction inversion”, SINBAD Fall consortium talks. SINBAD, 2016.
Zhilong Fang, Rongrong Wang, and Felix J. Herrmann, “Source estimation for wavefield-reconstruction inversion”, Geophysics, vol. 83, pp. R345-R359, 2018.
Zhilong Fang, Curt Da Silva, Rachel Kuske, and Felix J. Herrmann, “Uncertainty quantification for inverse problems with a weak wave-equation constraint”, in WAVES 2017 –- 13th International Conference on Mathematical and Numerical Aspects of Wave Propagation, 2017, pp. 127-128.
Zhilong Fang, Curt Da Silva, and Felix J. Herrmann, “Fast uncertainty quantification for 2D full-waveform inversion with randomized source subsampling”, in EAGE Annual Conference Proceedings, 2014.
Zhilong Fang, Chia Ying Lee, and Felix J. Herrmann, “A stochastic quasi-Newton McMC method for uncertainty quantification of full-waveform inversion”, SINBAD Spring consortium talks. SINBAD, 2014.
Zhilong Fang, Chia Ying Lee, Curt Da Silva, Felix J. Herrmann, and Rachel Kuske, “Uncertainty quantification for Wavefield Reconstruction Inversion”, in EAGE Annual Conference Proceedings, 2015.
Zhilong Fang, Bas Peters, and Felix J. Herrmann, “Wavefield-reconstruction inversion with source estimation and minimum smoothness constraint – application to the Chevron 2014 dataset”, SINBAD Fall consortium talks. SINBAD, 2015.
Zhilong Fang and Felix J. Herrmann, “Uncertainty analysis for FWI”, SINBAD Fall consortium talks. SINBAD, 2013.
Zhilong Fang, Chia Ying Lee, Curt Da Silva, Felix J. Herrmann, and Rachel Kuske, “Uncertainty quantification for Wavefield Reconstruction Inversion”, SINBAD Fall consortium talks. SINBAD, 2014.
Zhilong Fang, Henryk Modzelewski, Tristan van Leeuwen, Thomas Lai, Harsh Juneja, Bas Peters, and Felix J. Herrmann, “Swift FWI”, SINBAD Fall consortium talks. SINBAD, 2013.
Zhilong Fang, Curt Da Silva, and Felix J. Herrmann, “An efficient penalty method for PDE-constrained optimization problem with source estimation and stochastic optimization”, in Applied Inverse Problems Annual Conference Proceedings, 2017, p. 40.
Lloyd Fenelon, “Nonequispaced discrete curvelet transform for seismic data reconstruction”, 2008.
Sergey Fomel and Gilles Hennenfent, “Reproducible computational experiments using scons”, in ICASSP, 2007.
Michael P. Friedlander, “Algorithms for large-scale sparse reconstruction”, in SINBAD 2008, 2008.
Michael P. Friedlander and Mark Schmidt, “Hybrid deterministic-stochastic methods for data fitting”, SIAM Journal on Scientific Computing, vol. 34, pp. A1380-A1405, 2012.
Michael P. Friedlander, “Randomized sampling: How confident are you?”, SINBAD Fall consortium talks. SINBAD, 2012.
Michael P. Friedlander, “Active-set approaches to basis pursuit denoising”, in SIAM Optimization, 2008.
Michael P. Friedlander, “Computing sparse and group-sparse approximations”, in VIET, Hanoi, Vietnam, 2009.

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