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

∙ 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

∙ 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

∙ 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

∙ 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

∙ 06/02/2017

r-BTN: Cross-domain Face Composite and Synthesis from Limited Facial Patches

We start by asking an interesting yet challenging question, "If an eyewi...

Yang Song, et al. ∙

research

∙ 02/27/2017

Age Progression/Regression by Conditional Adversarial Autoencoder

"If I provide you a face image of mine (without telling you the actual a...

Zhifei Zhang, et al. ∙

research

∙ 05/20/2015

Variable subset selection via GA and information complexity in mixtures of Poisson and negative binomial regression models

Count data, for example the number of observed cases of a disease in a c...

T. J. Massaro, et al. ∙

research

∙ 07/12/2013

Image color transfer to evoke different emotions based on color combinations

In this paper, a color transfer framework to evoke different emotions fo...

Li He, et al. ∙

research

∙ 01/16/2013

Gradient Driven Learning for Pooling in Visual Pipeline Feature Extraction Models

Hyper-parameter selection remains a daunting task when building a patter...

Derek Rose, et al. ∙

research

∙ 01/15/2013

Recurrent Online Clustering as a Spatio-Temporal Feature Extractor in DeSTIN

This paper presents a basic enhancement to the DeSTIN deep learning arch...

Steven R. Young, et al. ∙

research

∙ 10/18/2017

Visual Progression Analysis of Student Records Data

University curriculum, both on a campus level and on a per-major level, ...

Mohammad Raji, et al. ∙

research

∙ 10/06/2017

Using data science as a community advocacy tool to promote equity in urban renewal programs: An analysis of Atlanta's Anti-Displacement Tax Fund

Cities across the United States are undergoing great transformation and ...

Jeremy Auerbach, et al. ∙

research

∙ 05/04/2017

Towards Simulation and Risk Assessment of Weather-Related Cascading Outages

Weather and environmental factors are verified to have played significan...

Rui Yao, et al. ∙

research

∙ 03/19/2017

Control and Limit Enforcements for VSC Multi-Terminal HVDC in Newton Power Flow

This paper proposes a novel method to automatically enforce controls and...

Hantao Cui, et al. ∙

research

∙ 12/31/2017

Neurally Plausible Model of Robot Reaching Inspired by Infant Motor Babbling

In this paper we present a neurally plausible model of robot reaching in...

Zahra Mahoor, et al. ∙

research

∙ 01/21/2018

Decoupled Learning for Conditional Adversarial Networks

Incorporating encoding-decoding nets with adversarial nets has been wide...

Zhifei Zhang, et al. ∙

research

∙ 04/04/2018

Discriminative Cross-View Binary Representation Learning

Learning compact representation is vital and challenging for large scale...

Liu Liu, et al. ∙

research

∙ 04/10/2018

Reference-Conditioned Super-Resolution by Neural Texture Transfer

With the recent advancement in deep learning, we have witnessed a great ...

Zhifei Zhang, et al. ∙

research

∙ 04/03/2018

Analysis on the Nonlinear Dynamics of Deep Neural Networks: Topological Entropy and Chaos

The theoretical explanation for deep neural network (DNN) is still an op...

Husheng Li, et al. ∙

research

∙ 04/13/2018

Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolution

In many computer vision applications, obtaining images of high resolutio...

Ying Qu, et al. ∙

research

∙ 04/13/2018

Talking Face Generation by Conditional Recurrent Adversarial Network

Given an arbitrary face image and an arbitrary speech clip, the proposed...

Yang Song, et al. ∙

research

∙ 05/08/2018

Functional Variable Selection for EMG-based Control of a Robotic Hand Prosthetic

State-of-the-art robotic hand prosthetics generate finger and wrist move...

Md Nazmul Islam, et al. ∙

research

∙ 07/25/2018

PaPaS: A Portable, Lightweight, and Generic Framework for Parallel Parameter Studies

The current landscape of scientific research is widely based on modeling...

Eduardo Ponce, et al. ∙

research

∙ 08/02/2018

A Practical Searchable Symmetric Encryption Scheme for Smart Grid Data

Outsourcing data storage to remote cloud can be an economical solution t...

Jiangnan Li, et al. ∙

research

∙ 08/02/2018

Dynamic Multi-level Privilege Control in Behavior-based Implicit Authentication Systems Leveraging Mobile Devices

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

Yingyuan Yang, et al. ∙

research

∙ 08/03/2018

Dynamic Detection of False Data Injection Attack in Smart Grid using Deep Learning

Modern advances in sensor, computing, and communication technologies ena...

Xiangyu Niu, et al. ∙

research

∙ 08/13/2018

A Matching Based Theoretical Framework for Estimating Probability of Causation

The concept of Probability of Causation (PC) is critically important in ...

Tapajit Dey, et al. ∙

research

∙ 08/22/2018

On Deep Neural Networks for Detecting Heart Disease

Heart disease is the leading cause of death, and experts estimate that a...

Nathalie-Sofia Tomov, et al. ∙

research

∙ 08/31/2018

Boosting Binary Optimization via Binary Classification: A Case Study of Job Shop Scheduling

Many optimization techniques evaluate solutions consecutively, where the...

Oleg V. Shylo, et al. ∙

research

∙ 09/27/2018

Physics Informed Topology Learning in Networks of Linear Dynamical Systems

Learning influence pathways of a network of dynamically related processe...

Saurav Talukdar, et al. ∙

research

∙ 10/01/2018

Unsupervised Trajectory Segmentation and Promoting of Multi-Modal Surgical Demonstrations

To improve the efficiency of surgical trajectory segmentation for robot ...

Zhenzhou Shao, et al. ∙

research

∙ 11/09/2018

Ball: An R package for detecting distribution difference and association in metric spaces

The rapid development of modern technology facilitates the appearance of...

Jin Zhu, et al. ∙

research

∙ 12/03/2018

Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning

Federated learning, i.e., a mobile edge computing framework for deep lea...

Zhibo Wang, et al. ∙

research

∙ 12/04/2018

A Stable Cardinality Distance for Topological Classification

This work incorporates topological and geometric features via persistenc...

Vasileios Maroulas, et al. ∙

research

∙ 12/24/2018

Bayesian Point Set Registration

Point set registration involves identifying a smooth invertible transfor...

Adam Spannaus, et al. ∙

research

∙ 04/10/2019

Applicability study of the PRIMAD model to LIGO gravitational wave search workflows

The PRIMAD model with its six components (i.e., Platform, Research Objec...

Dylan Chapp, et al. ∙

research

∙ 04/16/2019

SOMOSPIE: A modular SOil MOisture SPatial Inference Engine based on data driven decision

The current availability of soil moisture data over large areas comes fr...

Danny Rorabaugh, et al. ∙

research

∙ 04/20/2019

Measuring Irregular Geographic Exposure on the Internet

In this work, we examine to what extent the Internet's routing infrastru...

Jordan Holland, et al. ∙

research

∙ 05/12/2019

Continuous-Time Systems for Solving 0-1 Integer Linear Programming Feasibility Problems

The 0-1 integer linear programming feasibility problem is an important N...

Chengrui Li, et al. ∙

research

∙ 05/15/2019

SmartBullets: A Cloud-Assisted Bullet Screen Filter based on Deep Learning

Bullet-screen is a technique that enables the website users to send real...

Haoran Niu, et al. ∙

research

∙ 05/19/2019

The Maestro Attack: Orchestrating Malicious Flows with BGP

We present the Maestro attack, a novel Link Flooding Attack (LFA) that l...

Tyler McDaniel, et al. ∙

research

∙ 05/24/2019

Robust learning with implicit residual networks

In this effort we propose a new deep architecture utilizing residual blo...

Viktor Reshniak, et al. ∙

research

∙ 05/24/2019

A Polynomial-Based Approach for Architectural Design and Learning with Deep Neural Networks

In this effort we propose a novel approach for reconstructing multivaria...

Joseph Daws Jr., et al. ∙

research

∙ 05/24/2019

Greedy Shallow Networks: A New Approach for Constructing and Training Neural Networks

We present a novel greedy approach to obtain a single layer neural netwo...

Anton Dereventsov, et al. ∙

research

∙ 06/28/2019

An Energy Stable BDF2 Fourier Pseudo-Spectral Numerical Scheme for the Square Phase Field Crystal Equation

In this paper we propose and analyze an energy stable numerical scheme f...

Kelong Cheng, et al. ∙

research

∙ 07/15/2019

Patterns of Effort Contribution and Demand and User Classification based on Participation Patterns in NPM Ecosystem

Background: Open source requires participation of volunteer and commerci...

Tapajit Dey, et al. ∙

research

∙ 07/24/2019

A Narrow-stencil finite difference method for approximating viscosity solutions of fully nonlinear elliptic partial differential equations with applications to Hamilton-Jacobi-

This paper presents a new narrow-stencil finite difference method for ap...

Xiaobing Feng, et al. ∙

research

∙ 08/09/2019

That Was Then, This Is Now: A Security Evaluation of Password Generation, Storage, and Autofill in Thirteen Password Managers

Password managers have the potential to help users more effectively mana...

Sean Oesch, et al. ∙

The University of Tennessee, Knoxville

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