Louisiana State University

research

∙ 05/04/2022

Uncertainty-Autoencoder-Based Privacy and Utility Preserving Data Type Conscious Transformation

We propose an adversarial learning framework that deals with the privacy...

Bishwas Mandal, et al. ∙

research

∙ 09/12/2021

Critical Learning Periods in Federated Learning

Federated learning (FL) is a popular technique to train machine learning...

Gang Yan, et al. ∙

research

∙ 12/23/2019

Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling

Fully exploring correlation among points in point clouds is essential fo...

Wenkai Han, et al. ∙

research

∙ 06/03/2019

RF-Net: An End-to-End Image Matching Network based on Receptive Field

This paper proposes a new end-to-end trainable matching network based on...

Xuelun Shen, et al. ∙

research

∙ 12/26/2020

Learning Inter- and Intra-frame Representations for Non-Lambertian Photometric Stereo

In this paper, we build a two-stage Convolutional Neural Network (CNN) a...

Yanlong Cao, et al. ∙

research

∙ 01/11/2022

A Survey on Applications of Digital Human Avatars toward Virtual Co-presence

This paper investigates different approaches to build and use digital hu...

Matthew Korban, et al. ∙

research

∙ 08/28/2021

Harvesting Idle Resources in Serverless Computing via Reinforcement Learning

Serverless computing has become a new cloud computing paradigm that prom...

Hanfei Yu, et al. ∙

research

∙ 03/27/2019

Improving Route Choice Models by Incorporating Contextual Factors via Knowledge Distillation

Route Choice Models predict the route choices of travelers traversing an...

Qun Liu, et al. ∙

research

∙ 05/10/2017

Performance Evaluation and Modeling of HPC I/O on Non-Volatile Memory

HPC applications pose high demands on I/O performance and storage capabi...

Wei Liu, et al. ∙

research

∙ 11/05/2017

HPX Smart Executors

The performance of many parallel applications depends on loop-level para...

Zahra Khatami, et al. ∙

research

∙ 10/07/2017

A New Spectral Clustering Algorithm

We present a new clustering algorithm that is based on searching for nat...

W. R. Casper, et al. ∙

research

∙ 05/17/2017

Magnetic-Visual Sensor Fusion based Medical SLAM for Endoscopic Capsule Robot

A reliable, real-time simultaneous localization and mapping (SLAM) metho...

Mehmet Turan, et al. ∙

research

∙ 10/29/2015

Automatic Synthesis of Geometry Problems for an Intelligent Tutoring System

This paper presents an intelligent tutoring system, GeoTutor, for Euclid...

Chris Alvin, et al. ∙

research

∙ 01/24/2016

Synthesis of Gaussian Trees with Correlation Sign Ambiguity: An Information Theoretic Approach

In latent Gaussian trees the pairwise correlation signs between the vari...

Ali Moharrer, et al. ∙

research

∙ 08/29/2015

Generalized Uniformly Optimal Methods for Nonlinear Programming

In this paper, we present a generic framework to extend existing uniform...

Saeed Ghadimi, et al. ∙

research

∙ 08/23/2016

Segmenting a Surface Mesh into Pants Using Morse Theory

A pair of pants is a genus zero orientable surface with three boundary c...

Mustafa Hajij, et al. ∙

research

∙ 07/10/2017

A General Framework of Enhancing Sparsity of Generalized Polynomial Chaos Expansions

Compressive sensing has become a powerful addition to uncertainty quanti...

Xiu Yang, et al. ∙

research

∙ 01/09/2018

Recoverability for Holevo's just-as-good fidelity

Holevo's just-as-good fidelity is a similarity measure for quantum state...

Mark M. Wilde, et al. ∙

research

∙ 01/10/2018

Gaussian Latent Factor Analysis under Graphical Constraints

In this paper we explored the algebraic structure of the solution space ...

Md Mahmudul Hasan, et al. ∙

research

∙ 01/10/2018

Latent Factor Analysis of Gaussian Distributions under Graphical Constraints

In this paper, we explored the algebraic structures of solution spaces f...

Md Mahmudul Hasan, et al. ∙

research

∙ 01/31/2018

Robust 3D Human Motion Reconstruction Via Dynamic Template Construction

In multi-view human body capture systems, the recovered 3D geometry or e...

Zhong Li, et al. ∙

research

∙ 04/20/2018

CactusNets: Layer Applicability as a Metric for Transfer Learning

Deep neural networks trained over large datasets learn features that are...

Edward Collier, et al. ∙

research

∙ 05/02/2018

Unsupervised Learning using Pretrained CNN and Associative Memory Bank

Deep Convolutional features extracted from a comprehensive labeled datas...

Qun Liu, et al. ∙

research

∙ 06/21/2018

Pixel-level Reconstruction and Classification for Noisy Handwritten Bangla Characters

Classification techniques for images of handwritten characters are susce...

Manohar Karki, et al. ∙

research

∙ 09/25/2018

Exact entanglement cost of quantum states and channels under PPT-preserving operations

This paper establishes single-letter formulas for the exact entanglement...

Xin Wang, et al. ∙

research

∙ 09/28/2018

Superimposition-guided Facial Reconstruction from Skull

We develop a new algorithm to perform facial reconstruction from a given...

Celong Liu, et al. ∙

research

∙ 12/19/2018

Fundamental limits on the capacities of bipartite quantum interactions

Bipartite quantum interactions have applications in a number of differen...

Stefan Bäuml, et al. ∙

research

∙ 12/25/2018

Efficiently computable bounds for magic state distillation

Magic state manipulation is a crucial component in the leading approache...

Xin Wang, et al. ∙

research

∙ 01/10/2019

Finite Blocklength Analysis on Covert Communication over AWGN Channels

Covert communication over an additive white Gaussian noise (AWGN) channe...

Xinchun Yu, et al. ∙

research

∙ 01/19/2019

Algebraic Properties of Wyner Common Information Solution under Graphical Constraints

The Constrained Minimum Determinant Factor Analysis (CMDFA) setting was ...

Md Mahmudul Hasan, et al. ∙

research

∙ 01/23/2019

Coupling the reduced-order model and the generative model for an importance sampling estimator

In this work, we develop an importance sampling estimator by coupling th...

Xiaoliang Wan, et al. ∙

research

∙ 01/29/2019

Directed Formation Control of n Planar Agents with Distance and Area Constraints

In this paper, we take a first step towards generalizing a recently prop...

Tairan Liu, et al. ∙

research

∙ 02/07/2019

Entropy Bound for the Classical Capacity of a Quantum Channel Assisted by Classical Feedback

We prove that the classical capacity of an arbitrary quantum channel ass...

Dawei Ding, et al. ∙

research

∙ 03/07/2019

An Introduction to hpxMP -- A Modern OpenMP Implementation Leveraging Asynchronous Many-Tasking System

Asynchronous Many-task (AMT) runtime systems have gained increasing acce...

Tianyi Zhang, et al. ∙

research

∙ 03/11/2019

Quantifying the magic of quantum channels

To achieve universal quantum computation via general fault-tolerant sche...

Xin Wang, et al. ∙

research

∙ 03/26/2019

Domain Independent SVM for Transfer Learning in Brain Decoding

Brain imaging data are important in brain sciences yet expensive to obta...

Shuo Zhou, et al. ∙

research

∙ 04/09/2019

Non-Lambertian Surface Shape and Reflectance Reconstruction Using Concentric Multi-Spectral Light Field

Recovering the shape and reflectance of non-Lambertian surfaces remains ...

Mingyuan Zhou, et al. ∙

research

∙ 04/15/2019

PIV-Based 3D Fluid Flow Reconstruction Using Light Field Camera

Particle Imaging Velocimetry (PIV) estimates the flow of fluid by analyz...

Zhong Li, et al. ∙

research

∙ 04/23/2019

Quantum boomerang capacity

Inspired by the power of abstraction in information theory, we consider ...

Siddhartha Das, et al. ∙

research

∙ 05/12/2019

Why do you take that route?

The purpose of this paper is to determine whether a particular context f...

Alimire Nabijiang, et al. ∙

research

∙ 06/11/2019

Window Based BFT Blockchain Consensus

There is surge of interest to the blockchain technology not only in the ...

Mohammad M. Jalalzai, et al. ∙

research

∙ 08/11/2019

PCGAN-CHAR: Progressively Trained Classifier Generative Adversarial Networks for Classification of Noisy Handwritten Bangla Characters

Due to the sparsity of features, noise has proven to be a great inhibito...

Qun Liu, et al. ∙

research

∙ 09/09/2019

Scheduling optimization of parallel linear algebra algorithms using Supervised Learning

Linear algebra algorithms are used widely in a variety of domains, e.g m...

G. Laberge, et al. ∙

research

∙ 09/25/2019

20 Years of Evolution from Cognitive to Intelligent Communications

It has been 20 years since the concept of cognitive radio (CR) was propo...

Zhijin Qin, et al. ∙

research

∙ 09/25/2019

One-shot achievability and converse bounds of Gaussian random coding in AWGN channels under covert constraints

This paper considers the achievability and converse bounds on the maxima...

Xinchun Yu, et al. ∙

research

∙ 10/09/2017

Grand Challenges of Traceability: The Next Ten Years

In 2007, the software and systems traceability community met at the firs...

Giuliano Antoniol, et al. ∙

research

∙ 01/08/2020

Coherent Quantum Channel Discrimination

This paper introduces coherent quantum channel discrimination as a coher...

Mark M. Wilde, et al. ∙

research

∙ 01/06/2020

Convergence rates for an inexact ADMM applied to separable convex optimization

Convergence rates are established for an inexact accelerated alternating...

William W. Hager, et al. ∙

research

∙ 01/29/2020

Finite Element Methods for One Dimensional Elliptic Distributed Optimal Control Problems with Pointwise Constraints on the Derivative of the State

We investigate C^1 finite element methods for one dimensional elliptic d...

Susanne C. Brenner, et al. ∙

research

∙ 02/05/2020

Reachable Sets for Safe, Real-Time Manipulator Trajectory Design

For robotic arms to operate in arbitrary environments, especially near p...

Patrick Holmes, et al. ∙

Louisiana State University

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