
Joint Inference of Multiple Graphs from Matrix Polynomials
Inferring graph structure from observations on the nodes is an important...
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Learning in the Frequency Domain
Deep neural networks have achieved remarkable success in computer vision...
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Causal Discovery from Incomplete Data: A Deep Learning Approach
As systems are getting more autonomous with the development of artificia...
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DARB: A DensityAware RegularBlock Pruning for Deep Neural Networks
The rapidly growing parameter volume of deep neural networks (DNNs) hind...
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FFDNetBased Channel Estimation for Massive MIMO Visible Light Communication Systems
Channel estimation is of crucial importance in massive multipleinput mu...
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Subcarrier Assignment Schemes Based on QLearning in Wideband Cognitive Radio Networks
Subcarrier assignment is of crucial importance in wideband cognitive rad...
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Computation Efficiency Maximization in OFDMABased Mobile Edge Computing Networks
Computationefficient resource allocation strategies are of crucial impo...
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Learning Priors in Highfrequency Domain for Inverse Imaging Reconstruction
Illposed inverse problems in imaging remain an active research topic in...
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PermutationBased Causal Structure Learning with Unknown Intervention Targets
We consider the problem of estimating causal DAG models from a mix of ob...
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Performance Analysis on Visible Light Communications With MultiEavesdroppers and Practical Amplitude Constraint
In this paper the secure performance for the visible light communication...
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Mobile Edge Computing in Unmanned Aerial Vehicle Networks
Unmanned aerial vehicle (UAV)enabled communication networks are promisi...
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Learning HighDimensional Gaussian Graphical Models under Total Positivity without Tuning Parameters
We consider the problem of estimating an undirected Gaussian graphical m...
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Anchored Causal Inference in the Presence of Measurement Error
We consider the problem of learning a causal graph in the presence of me...
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Robust Resource Allocation for MISO Cognitive Radio Networks Under Two Practical NonLinear Energy Harvesting Models
To achieve a good tradeoff between the consumed power and the harvested ...
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Minimax rate of testing in sparse linear regression
We consider the problem of testing the hypothesis that the parameter of ...
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HighDimensional Joint Estimation of Multiple Directed Gaussian Graphical Models
We consider the problem of jointly estimating multiple related directed ...
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Direct Estimation of Differences in Causal Graphs
We consider the problem of estimating the differences between two causal...
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State of the Art, Taxonomy, and Open Issues on Cognitive Radio Networks with NOMA
The explosive growth of mobile devices and the rapid increase of wideban...
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EnergyEfficient NOMA Enabled Heterogeneous Cloud Radio Access Networks
Heterogeneous cloud radio access networks (HCRANs) are envisioned to be...
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Yuhao Wang
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