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06/11/2023
Deep Demixing: Reconstructing the Evolution of Network Epidemics
We propose the deep demixing (DDmix) model, a graph autoencoder that can...
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04/19/2023
HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN
Predicting the throughput of WLAN deployments is a classic problem that ...
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04/18/2023
Learning to Transmit with Provable Guarantees in Wireless Federated Learning
We propose a novel data-driven approach to allocate transmit power for f...
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04/02/2023
Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks
We develop an efficient and near-optimal solution for beamforming in mul...
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11/19/2022
Delay-aware Backpressure Routing Using Graph Neural Networks
We propose a throughput-optimal biased backpressure (BP) algorithm for r...
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03/27/2022
Distributed Link Sparsification for Scalable Scheduling Using Graph Neural Networks
Distributed scheduling algorithms for throughput or utility maximization...
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11/15/2021
Power Allocation for Wireless Federated Learning using Graph Neural Networks
We propose a data-driven approach for power allocation in the context of...
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09/14/2021
ML-aided power allocation for Tactical MIMO
We study the problem of optimal power allocation in single-hop multi-ant...
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09/12/2021
Link Scheduling using Graph Neural Networks
Efficient scheduling of transmissions is a key problem in wireless netwo...
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05/19/2021
Free Energy Node Embedding via Generalized Skip-gram with Negative Sampling
A widely established set of unsupervised node embedding methods can be i...
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12/18/2020
Additive Link Metrics Identification: Proof of Selected Lemmas and Propositions
This is a technical report, containing all the lemma and proposition pro...
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12/18/2020
Identification of Additive Link Metrics: Proof of Selected Theorems
This is a technical report, containing all the theorem proofs in the fol...
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12/17/2020
Efficient Identification of Additive Link Metrics: Theorem Proof and Evaluations
This is a technical report, containing all the theorem proofs and additi...
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12/17/2020
Partial Network Identifiability: Theorem Proof and Evaluation
This is a technical report, containing all the theorem proofs and additi...
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12/17/2020
Link Identifiability with Two Monitors: Proof of Selected Theorems
This is a technical report, containing all the theorem proofs in paper "...
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12/17/2020
Fundamental Theories in Node Failure Localization
This is a technical report, containing all the theorem proofs in paper "...
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12/17/2020
Failure Localization Capability: Theorem Proof and Evaluation
This is a technical report, containing all the theorem proofs and additi...
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12/17/2020
Node Failure Localization: Theorem Proof
This is a technical report, containing all the theorem proofs in paper "...
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11/18/2020
Distributed Scheduling using Graph Neural Networks
A fundamental problem in the design of wireless networks is to efficient...
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11/18/2020
Adaptive Contention Window Design using Deep Q-learning
We study the problem of adaptive contention window (CW) design for rando...
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11/09/2020
Resource Allocation in One-dimensional Distributed Service Networks with Applications
We consider assignment policies that allocate resources to users, where ...
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11/05/2020
On the Analysis of Spatially Constrained Power of Two Choice Policies
We consider a class of power of two choice based assignment policies for...
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11/03/2020
You Do (Not) Belong Here: Detecting DPI Evasion Attacks with Context Learning
As Deep Packet Inspection (DPI) middleboxes become increasingly popular,...
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10/08/2020
Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models
Existing Graph Neural Network (GNN) methods that learn inductive unsuper...
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09/17/2020
An Extension of Fano's Inequality for Characterizing Model Susceptibility to Membership Inference Attacks
Deep neural networks have been shown to be vulnerable to membership infe...
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08/26/2020
Measurement-driven Security Analysis of Imperceptible Impersonation Attacks
The emergence of Internet of Things (IoT) brings about new security chal...
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07/19/2020
Connecting the Dots: Detecting Adversarial Perturbations Using Context Inconsistency
There has been a recent surge in research on adversarial perturbations t...
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07/15/2020
GraphCL: Contrastive Self-Supervised Learning of Graph Representations
We propose Graph Contrastive Learning (GraphCL), a general framework for...
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05/16/2020
Topology Inference with Multivariate Cumulants: The Möbius Inference Algorithm
Many tasks regarding the monitoring, management, and design of communica...
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05/06/2020
A Multifactorial Optimization Paradigm for Linkage Tree Genetic Algorithm
Linkage Tree Genetic Algorithm (LTGA) is an effective Evolutionary Algor...
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01/13/2020
Resource Sharing in the Edge: A Distributed Bargaining-Theoretic Approach
The growing demand for edge computing resources, particularly due to inc...
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01/02/2020
Let's Share: A Game-Theoretic Framework for Resource Sharing in Mobile Edge Clouds
Mobile edge computing seeks to provide resources to different delay-sens...
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11/07/2019
SENSE: Semantically Enhanced Node Sequence Embedding
Effectively capturing graph node sequences in the form of vector embeddi...
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10/21/2019
Quickest Detection of Growing Dynamic Anomalies in Networks
The problem of quickest growing dynamic anomaly detection in sensor netw...
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09/19/2019
MACS: Deep Reinforcement Learning based SDN Controller Synchronization Policy Design
In distributed software-defined networks (SDN), multiple physical SDN co...
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04/01/2019
A Game-Theoretic Framework for Resource Sharing in Clouds
Providing resources to different users or applications is fundamental to...
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03/14/2019
Attribution-driven Causal Analysis for Detection of Adversarial Examples
Attribution methods have been developed to explain the decision of a mac...
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01/08/2019
Resource Allocation in One-dimensional Distributed Service Networks
We consider assignment policies that allocate resources to users, where ...
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01/08/2019
A queueing-theoretic model for resource allocation in one-dimensional distributed service network
We consider assignment policies that allocate resources to requesting us...
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08/21/2018
A Game-Theoretic Approach to Multi-Objective Resource Sharing and Allocation in Mobile Edge Clouds
Mobile edge computing seeks to provide resources to different delay-sens...
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07/02/2018
Adversarial Perturbations Against Real-Time Video Classification Systems
Recent research has demonstrated the brittleness of machine learning sys...
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02/12/2018
Multi-Armed Bandits on Unit Interval Graphs
An online learning problem with side information on the similarity and d...
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01/06/2018
Joint Data Compression and Caching: Approaching Optimality with Guarantees
We consider the problem of optimally compressing and caching data across...
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12/25/2017
The Internet of Battle Things
The battlefield of the future will be densely populated by a variety of ...
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12/10/2017
Optimal Energy Consumption with Communication, Computation, Caching and QoI-Guarantee
Energy efficiency is a fundamental requirement of modern data communicat...
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12/10/2017
Optimal Energy Tradeoff among Communication, Computation and Caching with QoI-Guarantee
Many applications must ingest and analyze data that are continuously gen...
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09/30/2016
Outlier Detection from Network Data with Subnetwork Interpretation
Detecting a small number of outliers from a set of data observations is ...
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06/24/2016
Modeling Group Dynamics Using Probabilistic Tensor Decompositions
We propose a probabilistic modeling framework for learning the dynamic p...
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04/28/2016
Crafting Adversarial Input Sequences for Recurrent Neural Networks
Machine learning models are frequently used to solve complex security pr...
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03/31/2016
