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Yanning Shen
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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
2422014
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
1952018
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
1952016
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
117*2017
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
84*2019
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
832014
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
782017
Random feature-based online multi-kernel learning in environments with unknown dynamics
Y Shen, T Chen, GB Giannakis
Journal of Machine Learning Research 20 (22), 1-36, 2019
772019
Exact reconstruction analysis of log-sum minimization for compressed sensing
Y Shen, J Fang, H Li
Signal Processing Letters 20 (12), 1223-1226, 2013
692013
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
672019
Online multi-agent forecasting with interpretable collaborative graph neural networks
M Li, S Chen, Y Shen, G Liu, IW Tsang, Y Zhang
IEEE Transactions on Neural Networks and Learning Systems 35 (4), 4768-4782, 2022
552022
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
472018
Ensemble Gaussian processes with spectral features for online interactive learning with scalability
Q Lu, G Karanikolas, Y Shen, GB Giannakis
International Conference on Artificial Intelligence and Statistics, 1910-1920, 2020
452020
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
402018
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
402014
Online Graph-Adaptive Learning With Scalability and Privacy
Y Shen, G Leus, GB Giannakis
IEEE Transactions on Signal Processing 67 (9), 2471 - 2483, 2019
392019
Fair node representation learning via adaptive data augmentation
OD Kose, Y Shen
arXiv preprint arXiv:2201.08549, 2022
342022
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
342018
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
332015
Topology identification of directed graphs via joint diagonalization of correlation matrices
Y Shen, X Fu, GB Giannakis, ND Sidiropoulos
IEEE Transactions on Signal and Information Processing over Networks 6, 271-283, 2020
272020
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