University of Nebraska–Lincoln

research

∙ 08/03/2022

A New Implementation of Federated Learning for Privacy and Security Enhancement

Motivated by the ever-increasing concerns on personal data privacy and t...

Xiang Ma, et al. ∙

research

∙ 09/19/2021

A Study of the Generalizability of Self-Supervised Representations

Recent advancements in self-supervised learning (SSL) made it possible t...

Atharva Tendle, et al. ∙

research

∙ 11/22/2019

Facility Location Problem with Capacity Constraints: Algorithmic and Mechanism Design Perspectives

We consider the facility location problem in the one-dimensional setting...

Haris Aziz, et al. ∙

research

∙ 01/20/2022

EdgeMap: CrowdSourcing High Definition Map in Automotive Edge Computing

High definition (HD) map needs to be updated frequently to capture road ...

Qiang Liu, et al. ∙

research

∙ 11/02/2021

OnSlicing: Online End-to-End Network Slicing with Reinforcement Learning

Network slicing allows mobile network operators to virtualize infrastruc...

Qiang Liu, et al. ∙

research

∙ 03/04/2015

A General Hybrid Clustering Technique

Here, we propose a clustering technique for general clustering problems ...

Saeid Amiri, et al. ∙

research

∙ 10/22/2010

A Partial Taxonomy of Substitutability and Interchangeability

Substitutability, interchangeability and related concepts in Constraint ...

Shant Karakashian, et al. ∙

research

∙ 09/05/2017

MLSEB: Edge Bundling using Moving Least Squares Approximation

Edge bundling methods can effectively alleviate visual clutter and revea...

Jieting Wu, et al. ∙

research

∙ 11/07/2017

Optimizing ROOT IO For Analysis

The ROOT I/O (RIO) subsystem is foundational to most HEP experiments - i...

Brian Bockelman, et al. ∙

research

∙ 08/20/2017

Fast Access to Columnar, Hierarchically Nested Data via Code Transformation

Big Data query systems represent data in a columnar format for fast, sel...

Jim Pivarski, et al. ∙

research

∙ 10/25/2017

Setting the threshold for high throughput detectors: A mathematical approach for ensembles of dynamic, heterogeneous, probabilistic anomaly detectors

Anomaly detection (AD) has garnered ample attention in security research...

Robert A. Bridges, et al. ∙

research

∙ 12/02/2017

High Reliability and Low Latency for Vehicular Networks: Challenges and Solutions

In recent years, wireless networks are undergoing the paradigm transform...

Haojun Yang, et al. ∙

research

∙ 01/23/2018

Modeling association in microbial communities with clique loglinear models

There is a growing awareness of the important roles that microbial commu...

Adrian Dobra, et al. ∙

research

∙ 05/24/2018

Forming IDEAS Interactive Data Exploration & Analysis System

Modern cyber security operations collect an enormous amount of logging a...

Robert A. Bridges, et al. ∙

research

∙ 06/08/2018

Computation Rate Maximization in UAV-Enabled Wireless Powered Mobile-Edge Computing Systems

Mobile edge computing (MEC) and wireless power transfer (WPT) are two pr...

Fuhui Zhou, et al. ∙

research

∙ 07/12/2018

SciTokens: Capability-Based Secure Access to Remote Scientific Data

The management of security credentials (e.g., passwords, secret keys) fo...

Alex Withers, et al. ∙

research

∙ 07/17/2018

Discovering Job Preemptions in the Open Science Grid

The Open Science Grid(OSG) is a world-wide computing system which facili...

Zhe Zhang, et al. ∙

research

∙ 08/15/2018

Model Selection via the VC-Dimension

We derive an objective function that can be optimized to give an estimat...

Merlin Mpoudeu, et al. ∙

research

∙ 10/05/2018

Meeting Real-Time Constraint of Spectrum Management in TV Black-Space Access

The TV set feedback feature standardized in the next generation TV syste...

Zhongyuan Zhao, et al. ∙

research

∙ 10/16/2018

Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex Convolutional Networks

Recent explorations of Deep Learning in the physical layer (PHY) of wire...

Zhongyuan Zhao, et al. ∙

research

∙ 12/07/2018

Continuous Performance Benchmarking Framework for ROOT

Foundational software libraries such as ROOT are under intense pressure ...

Oksana Shadura, et al. ∙

research

∙ 12/16/2018

GMD functions for scheme-based linear codes and algebraic invariants of Geramita ideals

Motivated by notions from coding theory, we study the generalized minimu...

Susan M. Cooper, et al. ∙

research

∙ 03/08/2019

Developer Reading Behavior While Summarizing Java Methods: Size and Context Matters

An eye-tracking study of 18 developers reading and summarizing Java meth...

Nahla J. Abid, et al. ∙

research

∙ 03/22/2019

SLING: Using Dynamic Analysis to Infer Program Invariants in Separation Logic

We introduce a new dynamic analysis technique to discover invariants in ...

Ton Chanh Le, et al. ∙

research

∙ 05/16/2019

StashCache: A Distributed Caching Federation for the Open Science Grid

Data distribution for opportunistic users is challenging as they neither...

Derek Weitzel, et al. ∙

research

∙ 05/22/2019

SciTokens: Demonstrating Capability-Based Access to Remote Scientific Data using HTCondor

The management of security credentials (e.g., passwords, secret keys) fo...

Alex Withers, et al. ∙

research

∙ 05/23/2019

Maximin-Aware Allocations of Indivisible Goods

We study envy-free allocations of indivisible goods to agents in setting...

Hau Chan, et al. ∙

research

∙ 06/18/2019

Weighted Maxmin Fair Share Allocation of Indivisible Chores

We initiate the study of indivisible chore allocation for agents with as...

Haris Aziz, et al. ∙

research

∙ 07/08/2019

Enabling Microsoft OneDrive Integration with HTCondor

Accessing data from distributed computing is essential in many workflows...

Derek Weitzel, et al. ∙

research

∙ 09/12/2019

Fast expectation-maximization algorithms for spatial generalized linear mixed models

Spatial generalized linear mixed models (SGLMMs) are popular and flexibl...

Yawen Guan, et al. ∙

research

∙ 11/12/2019

Energy-Efficient Beamforming and Cooperative Jamming in IRS-Assisted MISO Networks

Energy-efficient design and secure communications are of crucial importa...

Qun Wang, et al. ∙

research

∙ 11/21/2019

Interval-Valued Kriging Models for Geostatistical Mapping with Imprecise Inputs

Many geosciences data are imprecise due to various limitations and uncer...

Brennan Bean, et al. ∙

research

∙ 02/08/2020

Performance Modeling and Analysis of a Hyperledger-based System Using GSPN

As a highly scalable permissioned blockchain platform, Hyperledger Fabri...

Pu Yuan, et al. ∙

research

∙ 02/13/2020

Efficient Distance Approximation for Structured High-Dimensional Distributions via Learning

We design efficient distance approximation algorithms for several classe...

Arnab Bhattacharyya, et al. ∙

research

∙ 02/18/2020

Leveraging Linear Quadratic Regulator Cost and Energy Consumption for Ultra-Reliable and Low-Latency IoT Control Systems

To efficiently support the real-time control applications, networked con...

Haojun Yang, et al. ∙

research

∙ 04/06/2020

Deep Neural Network in Cusp Catastrophe Model

Catastrophe theory was originally proposed to study dynamical systems th...

Ranadeep Daw, et al. ∙

research

∙ 07/02/2020

Creating a content delivery network for general science on the internet backbone using XCaches

A general problem faced by computing on the grid for opportunistic users...

Edgar Fajardo, et al. ∙

research

∙ 07/26/2020

Fully Bayesian Analysis of the Relevance Vector Machine Classification for Imbalanced Data

Relevance Vector Machine (RVM) is a supervised learning algorithm extend...

Wenyang Wang, et al. ∙

research

∙ 07/12/2021

Strategyproof Mechanisms For Group-Fair Facility Location Problems

Ensuring group fairness among groups of individuals in our society is de...

Houyu Zhou, et al. ∙

research

∙ 07/21/2021

PoF: Proof-of-Following for Vehicle Platoons

Cooperative vehicle platooning significantly improves highway safety and...

Ziqi Xu, et al. ∙

research

∙ 07/25/2021

Efficient inference of interventional distributions

We consider the problem of efficiently inferring interventional distribu...

Arnab Bhattacharyya, et al. ∙

research

∙ 10/08/2021

Constraint-Aware Deep Reinforcement Learning for End-to-End Resource Orchestration in Mobile Networks

Network slicing is a promising technology that allows mobile network ope...

Qiang Liu, et al. ∙

research

∙ 10/20/2021

The Bleeps, the Sweeps, and the Creeps: Convergence Rates for Dynamic Observer Patterns via Data Assimilation for the 2D Navier-Stokes Equations

We adapt a continuous data assimilation scheme, known as the Azouani-Ols...

Trenton Franz, et al. ∙

research

∙ 11/05/2021

The Ball Pit Algorithm: A Markov Chain Monte Carlo Method Based on Path Integrals

The Ball Pit Algorithm (BPA) is a novel Markov chain Monte Carlo (MCMC) ...

Miguel Fudolig, et al. ∙

research

∙ 12/06/2021

The Service Analysis and Network Diagnosis DataPipeline

Modern network performance monitoring toolkits, such as perfSONAR, take ...

Derek Weitzel, et al. ∙

research

∙ 01/06/2022

Predictive Criteria for Prior Selection Using Shrinkage in Linear Models

Choosing a shrinkage method can be done by selecting a penalty from a li...

Dean Dustin, et al. ∙

research

∙ 01/17/2022

Neural Network Compression of ACAS Xu Early Prototype is Unsafe: Closed-Loop Verification through Quantized State Backreachability

ACAS Xu is an air-to-air collision avoidance system designed for unmanne...

Stanley Bak, et al. ∙

research

∙ 02/09/2022

STEC-IoT: A Security Tactic by Virtualizing Edge Computing on IoT

To a large extent, the deployment of edge computing (EC) can reduce the ...

Peiying Zhang, et al. ∙

research

∙ 02/18/2022

PISA: A Binary-Weight Processing-In-Sensor Accelerator for Edge Image Processing

This work proposes a Processing-In-Sensor Accelerator, namely PISA, as a...

Shaahin Angizi, et al. ∙

research

∙ 04/25/2022

MFA-DVR: Direct Volume Rendering of MFA Models

3D volume rendering is widely used to reveal insightful intrinsic patter...

Jianxin Sun, et al. ∙

University of Nebraska–Lincoln

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