Publications

Journal Papers

  1. L. Zhu, L. Chuang, J. McClellan, E. Liu, Z. Peng, A Multi-Channel Approach for Automatic Microseismic Event Localization using RANSAC-based Arrival Time Event Clustering (RATEC), to appear on Earthquake Research in China, 2021

  2. N. Iqbal, E. Liu, J. H. McClellan, A. Al-Shuhail, S. Kaka, A. Zerguine, Detection and Denoising of Microseismic Events Using Time–Frequency Representation and Tensor Decomposition, IEEE ACCESS Vol. 6, pp. 22993 - 23006, 2018. (PDF)

  3. J. H. McClellan, L. Eisner, E. Liu, A. Al-Shuhail, S. Kaka, N. Iqbal, Array processing in microseismic monitoring, IEEE Signal Processing Magazine, Vol. 35, no. 2, pp. 99-111. 2017. (PDF)

  4. N. Iqbal, E. Liu, J. H. McClellan, and A. Al-Shuhail, Sparse blind deconvolution of seismic data via spectral projected-gradient, IEEE Access, Vol. 7, pp. 23740-23751, 2019 (PDF)

  5. N. Iqbal, A. Al-Shuhail, S. Kaka, E. Liu, A. Govinda Raj, J. McClellan, Iterative interferometry-based method for picking microseismic events, Journal of Applied Geophysics, Vol. 140, pp. 52-61, 2017. (PDF)

  6. L. Zhu, E. Liu, and J. H. McClellan, Joint Seismic Data Denoising and Interpolation with Double-Sparsity Dictionary Learning, Journal of Geophysics and Engineering, Vol. 14, no. 4. pp. 802--810, 2017. (PDF)

  7. E. Liu, L. Zhu, A. Govinda Raj, J. H. McClellan, A. Al-Shuhail, S. I. Kaka, and N. Iqbal, Microseismic events enhancement and detection in sensor array using autocorrelation based filtering, Geophysical Prospecting, Vol. 65, no. 6, pp. 1496-1509, 2017 (PDF)

  8. A. Al-Shuhail, N. Iqbal, S. I. Kaka, E. Liu, A. Govinda Raj, and J. H. McClellan, Iterative interferometry based method for picking microseismic events, Journal of Applied Geophysics, Vol. 140, pp. 52-61, 2017 (PDF)

  9. L. Zhu, E. Liu, and J. H. McClellan, Sparse-promoting Full Waveform Inversion based on Online Orthonormal Dictionary Learning, Geophysics, Vol. 82, no. 2, pp. R87-R107, 2017 (PDF)

  10. L. Zhu, E. Liu, and J. H. McClellan, Seismic Data Denoising Through Multi-scale and Sparsity-Promoting Dictionary Learning, Geophysics, Vol. 80, no. 6, pp. WD45 - WD57, 2015. (PDF)

  11. E. Liu, E. K. P. Chong, and L. L. Scharf, Greedy Adaptive Linear Compression in Signal-Plus-Noise Models, IEEE Trans. Inform. Theory, Vol. 60, no. 4, pp. 2269 - 2280, 2014. (PDF)

  12. E. Liu and B. Jafarpour, Learning Sparse Geologic Dictionaries from Low-Rank Representations of Facies Connectivity for Model Calibration, Water Resources Research, Vol 49, pp. 7088-7101, 2013 (PDF)

  13. E. Liu and V.N. Temlyakov, Super Greedy Type Algorithms, Advances in Computational Mathematics, Vol. 37, no. 4, pp. 493-504, 2012. (PDF)

  14. E. Liu and V.N. Temlyakov, The Orthogonal Super Greedy Algorithm and Applications in Compressed Sensing, IEEE Trans. Inform. Theory, Vol. 58, no. 4, pp. 2040-2047, 2012. (PDF)

Conference Papers/abstracts

  1. X. Tian, A. Abdi, E. Liu, and F. Fekri, Memory-Assisted seismic signal compression based on dictionary learning and sparse coding, GlobalSIP 2017

  2. L. Zhu, E. Liu, J. H. McClellan, Z. Peng, and Z. Li, Classification of arrival-time picks for microseismic event localization, 79th EAGE conference and exhibition, 2017

  3. N. Iqbal, E. Liu, J. H. McClellan, A. Al-Shuhail, S. I. Kaka, and A. Zerguine, Enhancement of microseismic events using tensor decomposition and time-frequency representation, 79th EAGE conference and exhibition, 2017

  4. L. Zhu, Z. Li, Z. Peng, E. Liu, and J. H. McClellan, Weighted random sampling in seismic event detection/Location (WRASED): Applications to local, regional, and global seismic networks, Annual Meeting Seismological Society of America, Denver, CO, 2017.

  5. E. Liu, A. Payani, and F. Fekeri, Seismic Data Compression Using Online Double-Sparse Dictionary Learning Schemes, Data Compression Conference 2017, Snowbird UT, 2017.

  6. E. Liu, L. Zhu, J. H. McClellan, A. Al-Shuhail, and S. I. Kaka, Microseismic events enhancement in sensor arrays using autocorrelation based filtering, Proceedings of 78th EAGE conference and exhibition, Tu P6 15, Vienna, 2016 (PDF)

  7. L. Zhu, E. Liu, and J. H. McClellan, An automatic arrival time picking method based on RANSAC curve fitting, Proceedings of 78th EAGE conference and exhibition, Th SBT3 03, Vienna, 2016 (PDF)

  8. L. Zhu, E. Liu, and J. H. McClellan, Fast online orthonormal dictionary learning for efficient full waveform inversion, Proceedings of 41th ICASSP, Shanghai, China, 2016.

  9. L. Zhu, E. Liu, and J. H. McClellan, Full waveform microseismic inversion using differential evolution algorithm, Proceedings of 3rd GlobalSIP, Orlando FL, 2015.

  10. E. Liu, E. K. P. Chong, and L. L. Scharf, Greedy Adaptive Measurements with Signal and Measurement Noises. Proceedings of Asilomar conf of signals, systems, and computers 2012, Pacific Grove, CA.

  11. E. Liu and E. K. P. Chong, On Greedy Adaptive Measurements. Proceedings of 46th Conf on information sciences and systems 2012， Princeton NJ.

Dissertation

Ph.D. Dissertation. University of South Carolina, 2011 (PDF)