The University of Tennessee, Knoxville

research

∙ 08/25/2019

advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns

Person re-identification (re-ID) is the task of matching person images a...

Zhibo Wang, et al. ∙

research

∙ 12/29/2020

Hybrid Micro/Macro Level Convolution for Heterogeneous Graph Learning

Heterogeneous graphs are pervasive in practical scenarios, where each gr...

Le Yu, et al. ∙

research

∙ 03/03/2019

Image Super-Resolution by Neural Texture Transfer

Due to the significant information loss in low-resolution (LR) images, i...

Zhifei Zhang, et al. ∙

research

∙ 04/27/2019

Unsupervised and Unregistered Hyperspectral Image Super-Resolution with Mutual Dirichlet-Net

Hyperspectral images (HSI) provide rich spectral information that contri...

Ying Qu, et al. ∙

research

∙ 07/24/2019

One-Shot Mutual Affine-Transfer for Photorealistic Stylization

Photorealistic style transfer aims to transfer the style of a reference ...

Ying Qu, et al. ∙

research

∙ 05/14/2019

LEMO: Learn to Equalize for MIMO-OFDM Systems with Low-Resolution ADCs

This paper develops a new deep neural network optimized equalization fra...

Lei Chu, et al. ∙

research

∙ 11/08/2022

Quantum Persistent Homology for Time Series

Persistent homology, a powerful mathematical tool for data analysis, sum...

Bernardo Ameneyro, et al. ∙

research

∙ 02/10/2022

The MeLa BitChute Dataset

In this paper we present a near-complete dataset of over 3M videos from ...

Milo Trujillo, et al. ∙

research

∙ 06/02/2020

SearchFromFree: Adversarial Measurements for Machine Learning-based Energy Theft Detection

Energy theft causes large economic losses to utility companies around th...

Jiangnan Li, et al. ∙

research

∙ 06/04/2020

Hidden Markov models are recurrent neural networks: A disease progression modeling application

Hidden Markov models (HMMs) are commonly used for sequential data modeli...

Matt Baucum, et al. ∙

research

∙ 06/11/2020

Peerlock: Flexsealing BGP

BGP route leaks frequently precipitate serious disruptions to interdomai...

Tyler McDaniel, et al. ∙

research

∙ 06/13/2020

EchoIA: Implicit Authentication System Based on User Feedback

Implicit authentication (IA) transparently authenticates users by utiliz...

Yingyuan Yang, et al. ∙

research

∙ 06/15/2020

BubbleMap: Privilege Mapping for Behavior-based Implicit Authentication Systems

Implicit authentication (IA) is gaining popularity over recent years due...

Yingyuan Yang, et al. ∙

research

∙ 06/20/2020

Predicting Temporal Sets with Deep Neural Networks

Given a sequence of sets, where each set contains an arbitrary number of...

Le Yu, et al. ∙

research

∙ 07/08/2020

Effect of Technical and Social Factors on Pull Request Quality for the NPM Ecosystem

Pull request (PR) based development, which is a norm for the social codi...

Tapajit Dey, et al. ∙

research

∙ 07/21/2020

Representative-Discriminative Learning for Open-set Land Cover Classification of Satellite Imagery

Land cover classification of satellite imagery is an important step towa...

Razieh Kaviani Baghbaderani, et al. ∙

research

∙ 08/03/2020

Exposed Buffer Architecture for Programmable and Stateful Networking

Exposed Buffer Architecture addresses network ossification by confrontin...

Micah Beck, et al. ∙

research

∙ 08/04/2020

Lower Bounds on Circuit Depth of the Quantum Approximate Optimization Algorithm

The quantum approximate optimization algorithm (QAOA) is a method of app...

James Ostrowski, et al. ∙

research

∙ 08/08/2020

More Effective Software Repository Mining

Background: Data mining and analyzing of public Git software repositorie...

Adam Tutko, et al. ∙

research

∙ 09/17/2020

Radar-Camera Sensor Fusion for Joint Object Detection and Distance Estimation in Autonomous Vehicles

In this paper we present a novel radar-camera sensor fusion framework fo...

Ramin Nabati, et al. ∙

research

∙ 10/31/2020

Capture times in the Bridge-burning Cops and Robbers game

In this paper, we consider a variant of the cops and robbers game on a g...

Rebekah Herrman, et al. ∙

research

∙ 02/11/2021

An Inquisitive Code Editor for Addressing Novice Programmers' Misconceptions of Program Behavior

Novice programmers face numerous barriers while attempting to learn how ...

Austin Z. Henley, et al. ∙

research

∙ 03/02/2021

Computing Sum of Sources over a Classical-Quantum MAC

We consider the problem of communicating a general bivariate function of...

Touheed Anwar Atif, et al. ∙

research

∙ 03/18/2021

Porting a sparse linear algebra math library to Intel GPUs

With the announcement that the Aurora Supercomputer will be composed of ...

Yuhsiang M. Tsai, et al. ∙

research

∙ 04/08/2021

Convolutional Neural Network Pruning with Structural Redundancy Reduction

Convolutional neural network (CNN) pruning has become one of the most su...

Zi Wang, et al. ∙

research

∙ 04/26/2021

Assessing the Acceptability of a Humanoid Robot for Alzheimer's Disease and Related Dementia Care Using an Online Survey

In this work, an online survey was used to understand the acceptability ...

Fengpei Yuan, et al. ∙

research

∙ 05/22/2021

Cybercosm: New Foundations for a Converged Science Data Ecosystem

Scientific communities naturally tend to organize around data ecosystems...

Mark Asch, et al. ∙

research

∙ 07/03/2021

Byzantine-robust Federated Learning through Spatial-temporal Analysis of Local Model Updates

Federated Learning (FL) enables multiple distributed clients (e.g., mobi...

Zhuohang Li, et al. ∙

research

∙ 07/13/2021

A Theoretical Framework for Learning from Quantum Data

Over decades traditional information theory of source and channel coding...

Mohsen Heidari, et al. ∙

research

∙ 07/26/2021

Universal Digital Services Through Basic Broadband

In addressing the universal deployment of digital services it is necessa...

Micah Beck, et al. ∙

research

∙ 08/04/2021

Two-Chains: High Performance Framework for Function Injection and Execution

Some important problems, such as semantic graph analysis, require large-...

Megan Grodowitz, et al. ∙

research

∙ 09/06/2021

Learning-Based Strategy Design for Robot-Assisted Reminiscence Therapy Based on a Developed Model for People with Dementia

In this paper, the robot-assisted Reminiscence Therapy (RT) is studied a...

Fengpei Yuan, et al. ∙

research

∙ 10/05/2021

Online Application Guidance for Heterogeneous Memory Systems

Many high end and next generation computing systems to incorporated alte...

M. Ben Olson, et al. ∙

research

∙ 11/11/2021

Avoiding a pair of patterns in multisets and compositions

In this paper, we study the Wilf-type equivalence relations among multis...

Vít Jelínek, et al. ∙

research

∙ 11/15/2021

Quo Vadis MPI RMA? Towards a More Efficient Use of MPI One-Sided Communication

The MPI standard has long included one-sided communication abstractions ...

Joseph Schuchart, et al. ∙

research

∙ 12/07/2021

GPU-Based Homotopy Continuation for Minimal Problems in Computer Vision

Systems of polynomial equations arise frequently in computer vision, esp...

Chiang-Heng Chien, et al. ∙

research

∙ 10/24/2022

A fast multilevel dimension iteration algorithm for high dimensional numerical integration

In this paper, we propose and study a fast multilevel dimension iteratio...

Xiaobing Feng, et al. ∙

research

∙ 05/25/2022

Diagonally implicit Runge-Kutta schemes: Discrete energy-balance laws and compactness properties

We study diagonally implicit Runge-Kutta (DIRK) schemes when applied to ...

Abner J. Salgado, et al. ∙

research

∙ 06/04/2022

A Further Look at the Bayes Blind Spot

Gyenis and Redei have demonstrated that any prior p on a finite algebra,...

Mark Shattuck, et al. ∙

research

∙ 07/03/2022

One-off Events? An Empirical Study of Hackathon Code Creation and Reuse

Background: Hackathons have become popular events for teams to collabora...

Ahmed Samir Imam Mahmoud, et al. ∙

research

∙ 08/19/2022

Co-scheduling Ensembles of In Situ Workflows

Molecular dynamics (MD) simulations are widely used to study large-scale...

Tu Mai Anh Do, et al. ∙

research

∙ 08/24/2022

Flash-X, a multiphysics simulation software instrument

Flash-X is a highly composable multiphysics software system that can be ...

Anshu Dubey, et al. ∙

research

∙ 09/07/2022

Exposed Buffer Architecture

The Internet stack is not a complete description of the resources and se...

Micah Beck, et al. ∙

research

∙ 09/28/2022

Biological connectomes as a representation for the architecture of artificial neural networks

Grand efforts in neuroscience are working toward mapping the connectomes...

Samuel Schmidgall, et al. ∙

research

∙ 12/01/2022

A Topological Deep Learning Framework for Neural Spike Decoding

The brain's spatial orientation system uses different neuron ensembles t...

Edward C. Mitchell, et al. ∙

research

∙ 01/31/2023

Deep Learning for Reference-Free Geolocation for Poplar Trees

A core task in precision agriculture is the identification of climatic a...

Cai W. John, et al. ∙

research

∙ 01/28/2023

Vulnerabilities and Attacks on CAN-Based 3D Printing/Additive Manufacturing

Recent advancements in 3D-printing/additive manufacturing has brought fo...

Tyler Cultice, et al. ∙

research

∙ 01/15/2023

Collective Privacy Recovery: Data-sharing Coordination via Decentralized Artificial Intelligence

Collective privacy loss becomes a colossal problem, an emergency for per...

Evangelos Pournaras, et al. ∙

research

∙ 11/08/2022

Disclosure of a Neuromorphic Starter Kit

This paper presents a Neuromorphic Starter Kit, which has been designed ...

James S. Plank, et al. ∙

research

∙ 11/06/2022

Integrating Voice-Based Machine Learning Technology into Complex Home Environments

To demonstrate the value of machine learning based smart health technolo...

Ye Gao, et al. ∙

The University of Tennessee, Knoxville

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