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09/12/2023
Frequency Convergence of Complexon Shift Operators (Extended Version)
Topological Signal Processing (TSP) utilizes simplicial complexes to mod...
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09/11/2023
Generalized Graphon Process: Convergence of Graph Frequencies in Stretched Cut Distance
Graphons have traditionally served as limit objects for dense graph sequ...
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05/11/2023
Generalized signals on simplicial complexes
Topological signal processing (TSP) over simplicial complexes typically ...
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04/29/2023
Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks
In node classification using graph neural networks (GNNs), a typical mod...
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04/07/2023
Distributional Signals for Node Classification in Graph Neural Networks
In graph neural networks (GNNs), both node features and labels are examp...
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03/03/2023
Node-Specific Space Selection via Localized Geometric Hyperbolicity in Graph Neural Networks
Many graph neural networks have been developed to learn graph representa...
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01/20/2023
On the Relationship Between Information-Theoretic Privacy Metrics And Probabilistic Information Privacy
Information-theoretic (IT) measures based on f-divergences have recently...
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11/21/2022
RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments
Camera relocalization has various applications in autonomous driving. Pr...
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07/24/2022
SGAT: Simplicial Graph Attention Network
Heterogeneous graphs have multiple node and edge types and are semantica...
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06/09/2022
Abstract message passing and distributed graph signal processing
Graph signal processing is a framework to handle graph structured data. ...
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05/12/2022
Building Facade Parsing R-CNN
Building facade parsing, which predicts pixel-level labels for building ...
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04/05/2022
Practical Bounds of Kullback-Leibler Divergence Using Maximum Mean Discrepancy
Estimating Kullback Leibler (KL) divergence from data samples is a stren...
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08/19/2021
Cost-Efficient RIS-Aided Channel Estimation via Rank-One Matrix Factorization
A reconfigurable intelligent surface (RIS) consists of massive meta elem...
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03/29/2021
Learning on heterogeneous graphs using high-order relations
A heterogeneous graph consists of different vertices and edges types. Le...
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10/12/2020
Privacy-Preserving Distributed Projection LMS for Linear Multitask Networks
We develop a privacy-preserving distributed projection least mean square...
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10/10/2020
Data-driven Regularized Inference Privacy
Data is used widely by service providers as input to inference systems t...
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09/18/2020
Quickest Change Detection with Privacy Constraint
This paper considers Lorden's minimax quickest change detection (QCD) pr...
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07/14/2020
Attentive Graph Neural Networks for Few-Shot Learning
Graph Neural Networks (GNN) has demonstrated the superior performance in...
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01/16/2020
Arbitrarily Strong Utility-Privacy Trade-off in Decentralized Linear Estimation
Each agent in a network makes a local observation that is linearly relat...
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12/25/2019
Asymptotically Optimal Sampling Policy for Quickest Change Detection with Observation-Switching Cost
We consider the problem of quickest change detection (QCD) in a signal w...
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11/30/2019
Error-Correcting Neural Network
Error-correcting output codes (ECOC) is an ensemble method combining a s...
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06/26/2019
Orthogonal Projection in Linear Bandits
The expected reward in a linear stochastic bandit model is an unknown li...
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06/25/2019
An Unsupervised Bayesian Neural Network for Truth Discovery
The problem of estimating event truths from conflicting agent opinions i...
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02/25/2019
GraphFlow: A New Graph Convolutional Network Based on Parallel Flows
In view of the huge success of convolution neural networks (CNN) for ima...
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02/09/2019
Quickest Change Detection in the Presence of a Nuisance Change
In the quickest change detection problem in which both nuisance and crit...
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12/09/2018
Compressive Privacy for a Linear Dynamical System
We consider a linear dynamical system in which the state vector consists...
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11/26/2018
On the Relationship Between Inference and Data Privacy in Decentralized IoT Networks
In a decentralized Internet of Things (IoT) network, a fusion center rec...
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11/07/2018
UWB/LiDAR Fusion For Cooperative Range-Only SLAM
We equip an ultra-wideband (UWB) node and a 2D LiDAR sensor a.k.a. 2D la...
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08/30/2018
Decentralized Detection with Robust Information Privacy Protection
We consider a decentralized detection network whose aim is to infer a pu...
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07/27/2018
Task Recommendation in Crowdsourcing Based on Learning Preferences and Reliabilities
Workers participating in a crowdsourcing platform can have a wide range ...
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06/08/2018
Using Social Network Information in Bayesian Truth Discovery
We investigate the problem of truth discovery based on opinions from mul...
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02/28/2018
An Event-based Diffusion LMS Strategy
We consider a wireless sensor network consists of cooperative nodes, eac...
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02/05/2018
On Distributed Algorithms for Cost-Efficient Data Center Placement in Cloud Computing
The increasing popularity of cloud computing has resulted in a prolifera...
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01/15/2018
A Semi-Parametric Binning Approach to Quickest Change Detection
The problem of quickest detection of a change in distribution is conside...
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11/13/2017
Multilayer Nonlinear Processing for Information Privacy in Sensor Networks
A sensor network wishes to transmit information to a fusion center to al...
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11/06/2017