Wee-Peng Tay

Orcid: 0000-0002-1543-195X

According to our database1, Wee-Peng Tay authored at least 203 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multi-armed linear bandits with latent biases.
Inf. Sci., March, 2024

PointDifformer: Robust Point Cloud Registration With Neural Diffusion and Transformer.
IEEE Trans. Geosci. Remote. Sens., 2024

PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations.
CoRR, 2024

DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Approximate Maximum-Likelihood RIS-Aided Positioning.
IEEE Trans. Wirel. Commun., December, 2023

LPI Radar Signal Design Resistant to Identification by ESM Systems.
IEEE Trans. Aerosp. Electron. Syst., December, 2023

Graph Signal Processing Over a Probability Space of Shift Operators.
IEEE Trans. Signal Process., 2023

Graph Neural Networks With Triple Attention for Few-Shot Learning.
IEEE Trans. Multim., 2023

RobustMat: Neural Diffusion for Street Landmark Patch Matching Under Challenging Environments.
IEEE Trans. Image Process., 2023

Image Patch-Matching With Graph-Based Learning in Street Scenes.
IEEE Trans. Image Process., 2023

Resilience-Oriented Control for Cyber-Physical Hybrid Energy Storage Systems Using a Semiconsensus Scheme: Design and Practice.
IEEE Trans. Ind. Electron., 2023

Generalizing Graph Signal Processing: High Dimensional Spaces, Models and Structures.
Found. Trends Signal Process., 2023

DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition.
CoRR, 2023

Graph Neural Networks with a Distribution of Parametrized Graphs.
CoRR, 2023

Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach.
CoRR, 2023

Frequency Convergence of Complexon Shift Operators (Extended Version).
CoRR, 2023

Generalized Graphon Process: Convergence of Graph Frequencies in Stretched Cut Distance.
CoRR, 2023

Generalized signals on simplicial complexes.
CoRR, 2023

Distributional Signals for Node Classification in Graph Neural Networks.
CoRR, 2023

Node-Specific Space Selection via Localized Geometric Hyperbolicity in Graph Neural Networks.
CoRR, 2023

Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks.
CoRR, 2023

On the Relationship Between Information-Theoretic Privacy Metrics And Probabilistic Information Privacy.
CoRR, 2023

A Sub-meter Accurate Positioning using 5G Double-difference Carrier Phase Measurements.
Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2023

Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Architectural Exploration of Neuromorphic Compression based Neural Sensing for Next-Gen Wireless implantable-BMI.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Graph Neural Convection-Diffusion with Heterophily.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023

Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023

Robust Graph Neural Diffusion for Image Matching.
Proceedings of the IEEE International Conference on Image Processing, 2023

Kernel Ridge Regression for Generalized Graph Signal Processing.
Proceedings of the IEEE International Conference on Acoustics, 2023

Modulo EEG Signal Recovery Using Transformer.
Proceedings of the IEEE International Conference on Acoustics, 2023

HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Wide-Sense Stationarity in Generalized Graph Signal Processing.
IEEE Trans. Signal Process., 2022

Task Recommendation in Crowdsourcing Based on Learning Preferences and Reliabilities.
IEEE Trans. Serv. Comput., 2022

An Unsupervised Bayesian Neural Network for Truth Discovery in Social Networks.
IEEE Trans. Knowl. Data Eng., 2022

A Tightly Coupled Integration Approach for Cooperative Positioning Enhancement in DSRC Vehicular Networks.
IEEE Trans. Intell. Transp. Syst., 2022

Unlimited dynamic range signal recovery for folded graph signals.
Signal Process., 2022

Abstract message passing and distributed graph signal processing.
CoRR, 2022

Building Facade Parsing R-CNN.
CoRR, 2022

Practical Bounds of Kullback-Leibler Divergence Using Maximum Mean Discrepancy.
CoRR, 2022

Signal Processing on Simplicial Complexes With Vertex Signals.
IEEE Access, 2022

Reinforced Transformer Learning for VSI-DDoS Detection in Edge Clouds.
IEEE Access, 2022

On the Robustness of Graph Neural Diffusion to Topology Perturbations.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Attentive Graph Neural Networks for Few-Shot Learning.
Proceedings of the 5th IEEE International Conference on Multimedia Information Processing and Retrieval, 2022

Location Learning for AVs: LiDAR and Image Landmarks Fusion Localization with Graph Neural Networks.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

SGAT: Simplicial Graph Attention Network.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Preserving Trajectory Privacy in Driving Data Release.
Proceedings of the IEEE International Conference on Acoustics, 2022

Wide-Sense Stationarity and Spectral Estimation for Generalized Graph Signal.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Cost-Efficient RIS-Aided Channel Estimation via Rank-One Matrix Factorization.
IEEE Wirel. Commun. Lett., 2021

Privacy-Preserving Distributed Projection LMS for Linear Multitask Networks.
IEEE Trans. Signal Process., 2021

Asymptotically Optimal Sampling Policy for Quickest Change Detection With Observation-Switching Cost.
IEEE Trans. Signal Process., 2021

Arbitrarily Strong Utility-Privacy Tradeoff in Multi-Agent Systems.
IEEE Trans. Inf. Forensics Secur., 2021

Cost-Efficient RIS-Aided Channel Estimation via Rank-One Matrix Factorization.
CoRR, 2021

Anchor-Free Multi-Level Self-Localization in Ad-hoc Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

5G Positioning Using Code-Phase Timing Recovery.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

Signal Processing with a Distribution of Graph Operators.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning On Heterogeneous Graphs Using High-Order Relations.
Proceedings of the IEEE International Conference on Acoustics, 2021

Traitement du signal sur les complexes simpliciaux.
Proceedings of the Extraction et Gestion des Connaissances, 2021

Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Compressive Privacy for a Linear Dynamical System.
IEEE Trans. Inf. Forensics Secur., 2020

On the Relationship Between Inference and Data Privacy in Decentralized IoT Networks.
IEEE Trans. Inf. Forensics Secur., 2020

Decentralized Detection With Robust Information Privacy Protection.
IEEE Trans. Inf. Forensics Secur., 2020

Quasi-Synchronization of Heterogeneous Networks With a Generalized Markovian Topology and Event-Triggered Communication.
IEEE Trans. Cybern., 2020

Data-driven Regularized Inference Privacy.
CoRR, 2020

Quickest Change Detection with Privacy Constraint.
CoRR, 2020

Arbitrarily Strong Utility-Privacy Trade-off in Decentralized Linear Estimation.
CoRR, 2020

Resilient Multitask Distributed Adaptation Over Networks With Noisy Exchanges.
Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020

Maximum Privacy under Perfect Utility in Sensor Networks.
Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020

Privacy-Aware Quickest Change Detection.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

GFCN: A New Graph Convolutional Network Based on Parallel Flows.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Data-driven Privacy With Domain Regularization.
Proceedings of the IEEE Global Communications Conference, 2020

2019
A Binning Approach to Quickest Change Detection With Unknown Postchange Distribution.
IEEE Trans. Signal Process., 2019

Quickest Change Detection in the Presence of a Nuisance Change.
IEEE Trans. Signal Process., 2019

On the Properties of Gromov Matrices and Their Applications in Network Inference.
IEEE Trans. Signal Process., 2019

A Hilbert Space Theory of Generalized Graph Signal Processing.
IEEE Trans. Signal Process., 2019

Using Social Network Information in Community-Based Bayesian Truth Discovery.
IEEE Trans. Signal Inf. Process. over Networks, 2019

Sequential Multi-Class Labeling in Crowdsourcing.
IEEE Trans. Knowl. Data Eng., 2019

LaIF: A Lane-Level Self-Positioning Scheme for Vehicles in GNSS-Denied Environments.
IEEE Trans. Intell. Transp. Syst., 2019

Iterative expectation maximization for reliable social sensing with information flows.
Inf. Sci., 2019

Privacy-Aware Sensor Network Via Multilayer Nonlinear Processing.
IEEE Internet Things J., 2019

A survey on 5G massive MIMO localization.
Digit. Signal Process., 2019

Error-Correcting Neural Network.
CoRR, 2019

An Unsupervised Bayesian Neural Network for Truth Discovery.
CoRR, 2019

GraphFlow: A New Graph Convolutional Network Based on Parallel Flows.
CoRR, 2019

Optimal Power Allocation for Diffusion-Type Sensor Networks With Wireless Information and Power Transfer.
IEEE Access, 2019

UWB/LiDAR Fusion For Cooperative Range-Only SLAM.
Proceedings of the International Conference on Robotics and Automation, 2019

A Privacy-preserving Diffusion Strategy over Multitask Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

Asymptotically Optimal Quickest Change Detection under a Nuisance Change.
Proceedings of the IEEE International Conference on Acoustics, 2019

Orthogonal Projection in Linear Bandits.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

On Folded Graph Signals.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2018
Virtual Multiantenna Array for Estimating the Direction of a Transmitter: System, Bounds, and Experimental Results.
IEEE Trans. Veh. Technol., 2018

Toward Information Privacy for the Internet of Things: A Nonparametric Learning Approach.
IEEE Trans. Signal Process., 2018

Non-Bayesian Social Learning with Observation Reuse and Soft Switching.
ACM Trans. Sens. Networks, 2018

Estimating Infection Sources in Networks Using Partial Timestamps.
IEEE Trans. Inf. Forensics Secur., 2018

A Dynamic Bayesian Nonparametric Model for Blind Calibration of Sensor Networks.
IEEE Internet Things J., 2018

Using Social Network Information in Bayesian Truth Discovery.
CoRR, 2018

On Distributed Algorithms for Cost-Efficient Data Center Placement in Cloud Computing.
CoRR, 2018

A Semi-Parametric Binning Approach to Quickest Change Detection.
CoRR, 2018

Properties and Applications of Gromov Matrices In Network Inference.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

An Event-Based Diffusion LMS Strategy.
Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018

Privacy-Aware Kalman Filtering.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Quickest Change Detection Under a Nuisance Change.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Preserving Parameter Privacy in Sensor Networks.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Generalized Graph Signal Processing.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Learning Correlation Graph and Anomalous Employee Behavior for Insider Threat Detection.
Proceedings of the 21st International Conference on Information Fusion, 2018

Hidden Markov Model for Masquerade Detection Based on Sequence Alignment.
Proceedings of the 2018 IEEE 16th Intl Conf on Dependable, 2018

2017
System Cost Minimization in Cloud RAN With Limited Fronthaul Capacity.
IEEE Trans. Wirel. Commun., 2017

An Algorithmic Framework for Estimating Rumor Sources With Different Start Times.
IEEE Trans. Signal Process., 2017

Introduction to the Issue on Distributed Information Processing in Social Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2017

On the Universality of Jordan Centers for Estimating Infection Sources in Tree Networks.
IEEE Trans. Inf. Theory, 2017

A Multitask Diffusion Strategy With Optimized Inter-cluster Cooperation.
IEEE J. Sel. Top. Signal Process., 2017

Opinion diversity and community formation in adaptive networks.
CoRR, 2017

Network Topology Inference Using Information Cascades with Limited Statistical Knowledge.
CoRR, 2017

Sequential multi-class labeling in crowdsourcing: a ulam-renyi game approach.
Proceedings of the International Conference on Web Intelligence, 2017

Inference and data privacy in IoT networks.
Proceedings of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2017

A particle filter for vehicle tracking with lane level accuracy under GNSS-denied environments.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Inferring network topology from information cascades.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Grid-based belief propagation.
Proceedings of the 2017 International Conference on Indoor Positioning and Indoor Navigation, 2017

Robust decentralized localization in impulsive noise.
Proceedings of the 2017 International Conference on Indoor Positioning and Indoor Navigation, 2017

A particle filter for sequential infection source estimation.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Quickest change detection with unknown post-change distribution.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Multilayer sensor network for information privacy.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Multiple sources identification in networks with partial timestamps.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Optimal sampling policy for quickest change detection.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016
Anchor-Aided Joint Localization and Synchronization Using SOOP: Theory and Experiments.
IEEE Trans. Wirel. Commun., 2016

Infection Spreading and Source Identification: A Hide and Seek Game.
IEEE Trans. Signal Process., 2016

Learning Temporal-Spatial Spectrum Reuse.
IEEE Trans. Commun., 2016

Towards Information Privacy for the Internet of Things.
CoRR, 2016

Virtual Multi-Antenna Array for Estimating the Angle-of-Arrival of a RF Transmitter.
Proceedings of the IEEE 84th Vehicular Technology Conference, 2016

Receiver Tracking Using Signals of Opportunity from Asynchronous RF Beacons in GNSS-Denied Environments.
Proceedings of the IEEE 84th Vehicular Technology Conference, 2016

Multitask diffusion LMS with optimized inter-cluster cooperation.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Identifying rumor sources with different start times.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

TDOA-FDOA based multiple target detection and tracking in the presence of measurement errors and biases.
Proceedings of the 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2016

Joint resource segmentation and transmission rate adaptation in Cloud RAN with Caching as a Service.
Proceedings of the 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2016

Proof of concept study using DSRC, IMU and map fusion for vehicle localization in GNSS-denied environments.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Privacy-aware decentralized detection using linear precoding.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Opportunistic spectrum access with temporal-spatial reuse in cognitive radio networks.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Privacy-preserving nonparametric decentralized detection.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Estimating the number of infection sources in a tree.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015
Fundamental Limits of Self-localization for Cooperative Robotic Platforms Using Signals of Opportunity.
Proceedings of the Cooperative Robots and Sensor Networks 2015, 2015

Cross-Layer Resource Allocation With Elastic Service Scaling in Cloud Radio Access Network.
IEEE Trans. Wirel. Commun., 2015

Distributed Local Linear Parameter Estimation Using Gaussian SPAWN.
IEEE Trans. Signal Process., 2015

Multi-Hop Diffusion LMS for Energy-Constrained Distributed Estimation.
IEEE Trans. Signal Process., 2015

Robust Decentralized Detection and Social Learning in Tandem Networks.
IEEE Trans. Signal Process., 2015

Whose Opinion to Follow in Multihypothesis Social Learning? A Large Deviations Perspective.
IEEE J. Sel. Top. Signal Process., 2015

Distributed Localization of a RF Target in NLOS Environments.
IEEE J. Sel. Areas Commun., 2015

Rumor Spreading and Source Identification: A Hide and Seek Game.
CoRR, 2015

On the universality of the Jordan center for estimating the rumor source in a social network.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

RF transmitter geolocation based on signal periodicity: Concept and implementation.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

Joint scheduling and localization in UWB networks.
Proceedings of the IEEE International Conference on Communication, 2015

Periodic RF transmitter geolocation using a mobile receiver.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Network infection source identification under the SIRI model.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Localization of a moving non-cooperative RF target in NLOS environment using RSS and AOA measurements.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Rumor Spreading Maximization and Source Identification in a Social Network.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

Towards system cost minimization in cloud radio access network.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

An energy-efficient diffusion strategy over adaptive networks.
Proceedings of the 10th International Conference on Information, 2015

2014
Modified CRLB for Cooperative Geolocation of Two Devices Using Signals of Opportunity.
IEEE Trans. Wirel. Commun., 2014

Dynamic Request Redirection and Elastic Service Scaling in Cloud-Centric Media Networks.
IEEE Trans. Multim., 2014

An integer linear programming approach for a class of bilinear integer programs.
Oper. Res. Lett., 2014

How to Identify an Infection Source With Limited Observations.
IEEE J. Sel. Top. Signal Process., 2014

Distributed Boundary Estimation for Spectrum Sensing in Cognitive Radio Networks.
IEEE J. Sel. Areas Commun., 2014

Whose Opinion to follow in Multihypothesis Social Learning? A Large Deviation Perspective.
CoRR, 2014

A Generalized Diffusion Strategy for Energy-constrained Distributed Estimation.
CoRR, 2014

Robust detection and social learning in tandem networks.
Proceedings of the IEEE International Conference on Acoustics, 2014

Distributed opportunistic spectrum access with spatial reuse in cognitive radio networks.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Cross-layer resource allocation in cloud radio access network.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Distributed localization of a non-cooperative RF target in NLOS environments.
Proceedings of the 17th International Conference on Information Fusion, 2014

Generalized diffusion adaptation for energy-constrained distributed estimation.
Proceedings of the 17th International Conference on Information Fusion, 2014

2013
Interference Alignment in a Poisson Field of MIMO Femtocells.
IEEE Trans. Wirel. Commun., 2013

Identifying Infection Sources and Regions in Large Networks.
IEEE Trans. Signal Process., 2013

Randomized Information Dissemination in Dynamic Environments.
IEEE/ACM Trans. Netw., 2013

An Impulse Radio Ultrawideband System for Contactless Noninvasive Respiratory Monitoring.
IEEE Trans. Biomed. Eng., 2013

Fundamental Limits for Location and Velocity Estimation using Signals of Opportunity.
CoRR, 2013

Fundamental limits for location and velocity estimation using asynchronous beacons.
Proceedings of the 2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013

Finding an infection source under the SIS model.
Proceedings of the IEEE International Conference on Acoustics, 2013

Estimating infection sources in a network with incomplete observations.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Distributed localization of an unknown target in NLOS environments.
Proceedings of the 9th International Conference on Information, 2013

2012
The Value of Feedback in Decentralized Detection.
IEEE Trans. Inf. Theory, 2012

Cloud robotics: architecture, challenges and applications.
IEEE Netw., 2012

Identifying infection sources in large tree networks.
Proceedings of the 9th Annual IEEE Communications Society Conference on Sensor, 2012

GPS-free Localization Using Asynchronous Beacons.
Proceedings of the 8th International Conference on Mobile Ad-hoc and Sensor Networks, 2012

Extreme learning machines for intrusion detection.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

A Bayesian nonparametric approach to tumor detection using UWB imaging.
Proceedings of the IEEE International Conference on Ultra-Wideband, 2012

Cooperative and distributed localization for wireless sensor networks in multipath environments.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Tensor decomposition based R-dimensional matrix pencil method.
Proceedings of the 15th International Conference on Information Fusion, 2012

Localization for mixed near-field and far-field sources using data supported optimization.
Proceedings of the 15th International Conference on Information Fusion, 2012

Session TA3b: Compressive estimation.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

Identifying multiple infection sources in a network.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011
Error exponents for decentralized detection in feedback architectures.
Proceedings of the IEEE International Conference on Acoustics, 2011

2009
Bayesian detection in bounded height tree networks.
IEEE Trans. Signal Process., 2009

2008
Decentralized detection in resource-limited sensor network architectures.
PhD thesis, 2008

On the Impact of Node Failures and Unreliable Communications in Dense Sensor Networks.
IEEE Trans. Signal Process., 2008

On the Subexponential Decay of Detection Error Probabilities in Long Tandems.
IEEE Trans. Inf. Theory, 2008

Data Fusion Trees for Detection: Does Architecture Matter?
IEEE Trans. Inf. Theory, 2008

2007
Asymptotic Performance of a Censoring Sensor Network.
IEEE Trans. Inf. Theory, 2007

Detection in Dense Wireless Sensor Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2007

On the Sub-Exponential Decay of Detection Error Probabilities in Long Tandems.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Asymptotically Optimal Distributed Censoring.
Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006

Censoring Sensors: Asymptotics and the Value of Cooperation.
Proceedings of the 40th Annual Conference on Information Sciences and Systems, 2006


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