papers
Publications (13)
stat.ML2018
Random Feature-based Online Multi-kernel Learning in Environments with Unknown Dynamics
Yanning Shen, Tianyi Chen, Georgios B. Giannakis
cs.LG2018
Nonlinear Dimensionality Reduction on Graphs
Yanning Shen, Panagiotis A. Traganitis, Georgios B. Giannakis
cs.IT2013
One-Bit Quantization Design and Adaptive Methods for Compressed Sensing
Jun Fang, Yanning Shen, Hongbin Li
cs.LG2018
Online Graph-Adaptive Learning with Scalability and Privacy
Yanning Shen, Geert Leus, Georgios B. Giannakis
stat.ML2016
Kernel-Based Structural Equation Models for Topology Identification of Directed Networks
Yanning Shen, Brian Baingana, Georgios B. Giannakis
cs.IT2014
Prior Support Knowledge-Aided Sparse Bayesian Learning with Partly Erroneous Support Information
Jun Fang, Yanning Shen, Fuwei Li +1
cs.LG2018
Semi-Blind Inference of Topologies and Dynamical Processes over Graphs
Vassilis N. Ioannidis, Yanning Shen, Georgios B. Giannakis
stat.ML2016
Tensor Decompositions for Identifying Directed Graph Topologies and Tracking Dynamic Networks
Yanning Shen, Brian Baingana, Georgios B. Giannakis
cs.IT2014
Super-Resolution Compressed Sensing: An Iterative Reweighted Algorithm for Joint Parameter Learning and Sparse Signal Recovery
Jun Fang, Jing Li, Yanning Shen +2
cs.IT2012
A Fast Iterative Algorithm for Recovery of Sparse Signals from One-Bit Quantized Measurements
Jun Fang, Yanning Shen, Hongbin Li
stat.ML2016
Online Categorical Subspace Learning for Sketching Big Data with Misses
Yanning Shen, Morteza Mardani, Georgios B. Giannakis
stat.AP2016
Nonlinear Structural Vector Autoregressive Models for Inferring Effective Brain Network Connectivity
Yanning Shen, Brian Baingana, Georgios B. Giannakis
cs.IT2013
Pattern-Coupled Sparse Bayesian Learning for Recovery of Block-Sparse Signals
Jun Fang, Yanning Shen, Hongbin Li +1