Fangyu Li
Fangyu Li
Professor, Faculty of Information Technology, Beijing University of Technology
Verified email at bjut.edu.cn
Title
Cited by
Cited by
Year
Coherence attribute at different spectral scales
F Li, W Lu
Interpretation 2 (1), SA99-SA106, 2014
812014
Semisupervised multiattribute seismic facies analysis
J Qi, T Lin, T Zhao, F Li, K Marfurt
Interpretation 4 (1), SB91-SB106, 2016
72*2016
Seismic spectral decomposition using deconvolutive short-time Fourier transform spectrogram
W Lu, F Li
Geophysics 78 (2), V43-V51, 2013
592013
Enhanced Cyber-physical Security in Internet of Things through Energy Auditing
F Li, Y Shi, A Shinde, J Ye, WZ Song
IEEE Internet of Things Journal 6 (3), 5224-5231, 2019
512019
System Statistics Learning-Based IoT Security: Feasibility and Suitability
F Li, A Shinde, Y Shi, J Ye, XY Li, WZ Song
IEEE Internet of Things Journal 6 (4), 6396-6403, 2019
452019
Characterizing a turbidite system in Canterbury Basin, New Zealand, using seismic attributes and distance-preserving self-organizing maps
T Zhao, J Zhang, F Li, KJ Marfurt
Interpretation 4 (1), SB79-SB89., 2016
452016
Seismic signal denoising using thresholded variational mode decomposition
F Li, B Zhang, S Verma, KJ Marfurt
Exploration Geophysics 49 (4), 450-461, 2018
442018
Time–frequency analysis of seismic data using a three parameters S transform
N Liu, J Gao, B Zhang, F Li, Q Wang
IEEE Geoscience and Remote Sensing Letters 15 (1), 142-146, 2018
422018
Smart Seismic Sensing for Indoor Fall Detection, Location and Notification
J Clemente, F Li, M Valero, WZ Song
IEEE Journal of Biomedical and Health Informatics 24 (2), 524-532, 2020
402020
Constraining self-organizing map facies analysis with stratigraphy: An approach to increase the credibility in automatic seismic facies classification
T Zhao, F Li, KJ Marfurt
Interpretation 5 (2), T163-T171, 2017
402017
Potrojan: powerful neural-level trojan designs in deep learning models
M Zou, Y Shi, C Wang, F Li, WZ Song, Y Wang
arXiv preprint arXiv:1802.03043, 2018
392018
Q estimation from reflection seismic data for hydrocarbon detection using a modified frequency shift method
F Li, H Zhou, N Jiang, J Bi, KJ Marfurt
Journal of Geophysics and Engineering 12 (4), 577-586, 2015
382015
Semi-automatic first arrival picking of micro-seismic events by using pixel-wise convolutional image segmentation method
H Wu, B Zhang, F Li, N Liu
Geophysics 84 (3), V143-V155, 2019
372019
Multispectral coherence
F Li, J Qi, B Lyu, KJ Marfurt
Interpretation 6 (1), T61-T69, 2017
372017
Multiazimuth coherence
J Qi, F Li, K Marfurt
Geophysics 82 (6), O83-O89, 2017
332017
Seismic attribute selection for unsupervised seismic facies analysis using user-guided data-adaptive weights
T Zhao, F Li, KJ Marfurt
Geophysics 83 (2), O31-O44, 2018
282018
Depositional Sequence Characterization based on Seismic Variational Mode Decomposition
F Li, B Zhang, R Zhai, H Zhou, KJ Marfurt
Interpretation 5 (2), SE97-SE106, 2017
262017
Automatic event detection on noisy microseismograms
F Li, J Rich, KJ Marfurt, H Zhou
2014 SEG Annual Meeting, 2363-2367, 2014
242014
Seismic attenuation attributes with applications on conventional and unconventional reservoirs
F Li, S Verma, H Zhou, T Zhao, KJ Marfurt
Interpretation 4 (1), SB63-SB77, 2016
222016
White Noise Attenuation of Seismic Data by Integrating Variational Mode Decomposition and Convolutional Neural Network
H Wu, B Zhang, T Lin, F Li, N Liu
Geophysics 84 (5), V307–V317, 2019
202019
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