Yanning Shen
According to our database^{1},
Yanning Shen
authored at least 48 papers
between 2012 and 2020.
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Bibliography
2020
Topology Identification of Directed Graphs via Joint Diagonalization of Correlation Matrices.
IEEE Trans. Signal Inf. Process. over Networks, 2020
Ensemble Gaussian Processes with Spectral Features for Online Interactive Learning with Scalability.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Online GraphAdaptive Learning With Scalability and Privacy.
IEEE Trans. Signal Process., 2019
Nonlinear Structural Vector Autoregressive Models With Application to Directed Brain Networks.
IEEE Trans. Signal Process., 2019
SemiBlind Inference of Topologies and Dynamical Processes Over Dynamic Graphs.
IEEE Trans. Signal Process., 2019
Random Featurebased Online Multikernel Learning in Environments with Unknown Dynamics.
J. Mach. Learn. Res., 2019
Scalable Learning with Privacy Over Graphs.
Proceedings of the IEEE Data Science Workshop, 2019
Scalable and Adaptive KNN for Regression Over Graphs.
Proceedings of the 8th IEEE International Workshop on Computational Advances in MultiSensor Adaptive Processing, 2019
2018
Canonical Correlation Analysis of Datasets With a Common Source Graph.
IEEE Trans. Signal Process., 2018
Topology Identification and Learning over Graphs: Accounting for Nonlinearities and Dynamics.
Proceedings of the IEEE, 2018
Heterogeneous Online Learning for "ThingAdaptive" Fog Computing in IoT.
IEEE Internet Things J., 2018
SemiBlind Inference of Topologies and Dynamical Processes over Graphs.
CoRR, 2018
Canonical Correlation Analysis with Common Graph Priors.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018
Online Learning Adaptive to Dynamic and Adversarial Environments.
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018
KernelBased SemiSupervised Learning Over Multilayer Graphs.
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018
Online MultiKernel Learning with Orthogonal Random Features.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Online Identification of Directional Graph Topologies Capturing Dynamic and Nonlinear Dependencies.
Proceedings of the 2018 IEEE Data Science Workshop, 2018
SemiBlind Inference of Topologies and Signals over Graphs.
Proceedings of the 2018 IEEE Data Science Workshop, 2018
Online Ensemble Multikernel Learning Adaptive to Nonstationary and Adversarial Environments.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
Signal and Graph Perturbations via Total LeastSquares.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
2017
Online Categorical Subspace Learning for Sketching Big Data with Misses.
IEEE Trans. Signal Process., 2017
Tensor Decompositions for Identifying Directed Graph Topologies and Tracking Dynamic Networks.
IEEE Trans. Signal Process., 2017
KernelBased Structural Equation Models for Topology Identification of Directed Networks.
IEEE Trans. Signal Process., 2017
Topology inference of multilayer networks.
Proceedings of the 2017 IEEE Conference on Computer Communications Workshops, 2017
Topology inference of directed graphs using nonlinear structural vector autoregressive models.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Network topology inference via elastic net structural equation models.
Proceedings of the 25th European Signal Processing Conference, 2017
Nonlinear dimensionality reduction on graphs.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in MultiSensor Adaptive Processing, 2017
Directed network topology inference via sparse joint diagonalization.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
Online learning for "thingadaptive" Fog Computing in IoT.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
2016
SuperResolution Compressed Sensing for Line Spectral Estimation: An Iterative Reweighted Approach.
IEEE Trans. Signal Process., 2016
Adaptive onebit quantization for compressed sensing.
Signal Process., 2016
Tracking dynamic piecewiseconstant network topologies via adaptive tensor factorization.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
Online dictionary learning from largescale binary data.
Proceedings of the 24th European Signal Processing Conference, 2016
Nonlinear structural equation models for network topology inference.
Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016
Inferring directed network topologies via tensor factorization.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016
2015
PatternCoupled Sparse Bayesian Learning for Recovery of BlockSparse Signals.
IEEE Trans. Signal Process., 2015
Support knowledgeaided sparse Bayesian learning for compressed sensing.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Online sketching of big categorical data with absent features.
Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015
2014
SuperResolution Compressed Sensing: An Iterative Reweighted Algorithm for Joint Parameter Learning and Sparse Signal Recovery.
IEEE Signal Process. Lett., 2014
Sparse signal recovery from onebit quantized data: An iterative reweighted algorithm.
Signal Process., 2014
Prior Support KnowledgeAided Sparse Bayesian Learning with Partly Erroneous Support Information.
CoRR, 2014
Pattern coupled sparse Bayesian learning for recovery of time varying sparse signals.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014
Patterncoupled sparse Bayesian learning for recovery of blocksparse signals.
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
Exact Reconstruction Analysis of LogSum Minimization for Compressed Sensing.
IEEE Signal Process. Lett., 2013
OneBit Quantization Design and Adaptive Methods for Compressed Sensing
CoRR, 2013
A onebit reweighted iterative algorithm for sparse signal recovery.
Proceedings of the IEEE International Conference on Acoustics, 2013
Onebit compressive sensing and source localization in wireless sensor networks.
Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013
2012
A Fast Iterative Algorithm for Recovery of Sparse Signals from OneBit Quantized Measurements
CoRR, 2012