Yanning Shen
Title
Cited by
Cited by
Year
Pattern-coupled sparse Bayesian learning for recovery of block-sparse signals
J Fang, Y Shen, H Li, P Wang
IEEE Transactions on Signal Processing 63 (2), 360-372, 2014
1412014
Topology identification and learning over graphs: Accounting for nonlinearities and dynamics
GB Giannakis, Y Shen, GV Karanikolas
Proceedings of the IEEE 106 (5), 787-807, 2018
1252018
Super-Resolution Compressed Sensing for Line Spectral Estimation: An Iterative Reweighted Approach
J Fang, F Wang, Y Shen, H Li, R Blum
IEEE Transactions on Signal Processing 64 (18), 4649-4662, 2016
1192016
Kernel-based structural equation models for topology identification of directed networks
Y Shen, B Baingana, GB Giannakis
IEEE Transactions on Signal Processing 65 (10), 2503-2516, 2017
95*2017
Super-resolution compressed sensing: An iterative reweighted algorithm for joint parameter learning and sparse signal recovery
J Fang, J Li, Y Shen, H Li, S Li
IEEE Signal Processing Letters 21 (6), 761-765, 2014
682014
Tensor decompositions for identifying directed graph topologies and tracking dynamic networks
Y Shen, B Baingana, GB Giannakis
IEEE Transactions on Signal Processing 65 (14), 3675-3687, 2017
542017
Nonlinear structural vector autoregressive models with application to directed brain networks
Y Shen, GB Giannakis, B Baingana
IEEE Transactions on Signal Processing 67 (20), 5325-5339, 2019
46*2019
Exact reconstruction analysis of log-sum minimization for compressed sensing
Y Shen, J Fang, H Li
Signal Processing Letters 20 (12), 1223-1226, 2013
402013
Semi-blind inference of topologies and dynamical processes over dynamic graphs
VN Ioannidis, Y Shen, GB Giannakis
IEEE Transactions on Signal Processing 67 (9), 2263-2274, 2019
382019
Random feature-based online multi-kernel learning in environments with unknown dynamics
Y Shen, T Chen, GB Giannakis
The Journal of Machine Learning Research 20 (1), 773-808, 2019
342019
Sparse signal recovery from one-bit quantized data: An iterative reweighted algorithm
J Fang, Y Shen, H Li, Z Ren
Signal Processing 102, 201-206, 2014
282014
Heterogeneous online learning for “thing-adaptive” fog computing in iot
T Chen, Q Ling, Y Shen, GB Giannakis
IEEE Internet of Things Journal 5 (6), 4328-4341, 2018
272018
Canonical correlation analysis of datasets with a common source graph
J Chen, G Wang, Y Shen, GB Giannakis
IEEE Transactions on Signal Processing 66 (16), 4398-4408, 2018
232018
Adaptive one-bit quantization for compressed sensing
J Fang, Y Shen, L Yang, H Li
Signal Processing 125, 145-155, 2016
232016
Support knowledge-aided sparse Bayesian learning for compressed sensing
J Fang, Y Shen, F Li, H Li, Z Chen
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
232015
Online ensemble multi-kernel learning adaptive to non-stationary and adversarial environments
Y Shen, T Chen, G Giannakis
International Conference on Artificial Intelligence and Statistics, 2037-2046, 2018
222018
Online categorical subspace learning for sketching big data with misses
Y Shen, M Mardani, GB Giannakis
IEEE Transactions on Signal Processing 65 (15), 4004-4018, 2017
20*2017
Topology inference of directed graphs using nonlinear structural vector autoregressive models
Y Shen, B Baingana, GB Giannakis
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
192017
Nonlinear dimensionality reduction on graphs
Y Shen, PA Traganitis, GB Giannakis
2017 IEEE 7th International Workshop on Computational Advances in Multi …, 2017
182017
A one-bit reweighted iterative algorithm for sparse signal recovery
Y Shen, J Fang, H Li, Z Chen
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International …, 2013
132013
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