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Weichang Li
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Cited by
Year
Estimation of rapidly time-varying sparse channels
W Li, JC Preisig
IEEE Journal of Oceanic Engineering 32 (4), 927-939, 2007
5662007
Seismic facies classification using supervised convolutional neural networks and semisupervised generative adversarial networks
M Liu, M Jervis, W Li, P Nivlet
Geophysics 85 (4), O47-O58, 2020
1152020
PatentMiner: topic-driven patent analysis and mining
J Tang, B Wang, Y Yang, P Hu, Y Zhao, X Yan, B Gao, M Huang, P Xu, ...
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
1092012
Granger Causality for Time-Series Anomaly Detection
YL Huida Qiu, NA Subrahmanya, W Li
2012 IEEE 12th International Conference on Data Mining, 1074-1079, 2012
1032012
Focus detection from digital in-line holograms based on spectral l 1 norms
W Li, NC Loomis, Q Hu, CS Davis
JOSA A 24 (10), 3054-3062, 2007
992007
Computational reconstruction of images from holograms
JH Milgram, W Li
Applied optics 41 (5), 853-864, 2002
852002
Decentralized Fault Detection and Diagnosis via Sparse PCA based Decomposition and Maximum Entropy Decision Fusion
M Grbovic, W Li, P Xu, AK Usadi, L Song, S Vucetic
Journal of Process Control 22, 738-750, 2012
812012
Systems and Methods for Event Detection and Diagnosis
W LI, T O'CONNOR, S DASH, J SOMMERS
WO Patent WO 2,015,099,964, 2015
742015
Physics-driven deep-learning inversion with application to transient electromagnetics
D Colombo, E Turkoglu, W Li, E Sandoval-Curiel, D Rovetta
Geophysics 86 (3), E209-E224, 2021
552021
Cold Start Approach for Data-Driven Fault Detection
M Grbovic, W Li, NA Subrahmanya, AK Usadi, S Vucetic
Industrial Informatics, IEEE Transactions on 9 (4), 2264-2273, 2013
472013
Classifying geological structure elements from seismic images using deep learning
W Li
SEG International Exposition and Annual Meeting, SEG-2018-2998036, 2018
372018
Deep-learning electromagnetic monitoring coupled to fluid flow simulators
D Colombo, W Li, E Sandoval-Curiel, GW McNeice
Geophysics 85 (4), WA1-WA12, 2020
352020
Statistical root cause analysis of novel faults based on digraph models
Y Wan, F Yang, N Lv, H Xu, H Ye, W Li, P Xu, L Song, AK Usadi
Chemical Engineering Research and Design 91 (1), 87-99, 2013
352013
Sparse Reinforcement Learning via Convex Optimization
Z Qin, W Li
International Conference on Machine Learning (ICML), June 2014, 424-432, 2014
342014
Generating breakpoint-based timeline overview for news topic retrospection
P Hu, M Huang, P Xu, W Li, AK Usadi, X Zhu
2011 IEEE 11th International Conference on Data Mining, 260-269, 2011
312011
Physics-constrained deep learning for ground roll attenuation
N Pham, W Li
Geophysics 87 (1), V15-V27, 2022
302022
Finding nuggets in IP portfolios: core patent mining through textual temporal analysis
P Hu, M Huang, P Xu, W Li, AK Usadi, X Zhu
Proceedings of the 21st ACM international conference on Information and …, 2012
292012
3D seismic facies classification using convolutional neural network and semi-supervised generative adversarial network
M Liu, W Li, M Jervis, P Nivlet
SEG Technical Program Expanded Abstracts 2019, 4995-4999, 2019
282019
Synthetic sonic log generation with machine learning: A contest summary from five methods
Y Yu, C Xu, S Misra, W Li, M Ashby, W Pan, T Deng, H Jo, JE Santos, L Fu, ...
Petrophysics 62 (04), 393-406, 2021
232021
Estimation and equalization of rapidly varying sparse acoustic communication channels
W Li, JC Preisig
OCEANS 2006, 1-6, 2006
232006
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