New Jersey Institute of Technology

research

∙ 05/21/2022

Are Graph Neural Networks Really Helpful for Knowledge Graph Completion?

Knowledge graphs (KGs) facilitate a wide variety of applications due to ...

Juanhui Li, et al. ∙

research

∙ 04/24/2019

Mapping Hearthstone Deck Spaces through MAP-Elites with Sliding Boundaries

Quality diversity (QD) algorithms such as MAP-Elites have emerged as a p...

Matthew C. Fontaine, et al. ∙

research

∙ 12/05/2019

Covariance Matrix Adaptation for the Rapid Illumination of Behavior Space

Quality Diversity (QD) algorithms like Novelty Search with Local Competi...

Matthew C. Fontaine, et al. ∙

research

∙ 01/01/2022

IoT-based Route Recommendation for an Intelligent Waste Management System

The Internet of Things (IoT) is a paradigm characterized by a network of...

Mohammadhossein Ghahramani, et al. ∙

research

∙ 06/15/2022

Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective

Recent years have witnessed remarkable success achieved by graph neural ...

Wei Jin, et al. ∙

research

∙ 07/16/2021

Tracing Halpha Fibrils through Bayesian Deep Learning

We present a new deep learning method, dubbed FibrilNet, for tracing chr...

Haodi Jiang, et al. ∙

research

∙ 07/11/2020

Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network

Recent developments in machine learning techniques have allowed automati...

Matthew C. Fontaine, et al. ∙

research

∙ 04/28/2022

Watts: Infrastructure for Open-Ended Learning

This paper proposes a framework called Watts for implementing, comparing...

Aaron Dharna, et al. ∙

research

∙ 05/21/2020

CPOT: Channel Pruning via Optimal Transport

Recent advances in deep neural networks (DNNs) lead to tremendously grow...

Yucong Shen, et al. ∙

research

∙ 01/15/2022

Realtime 3D Object Detection for Headsets

Mobile headsets should be capable of understanding 3D physical environme...

Yongjie Guan, et al. ∙

research

∙ 07/15/2019

The Many AI Challenges of Hearthstone

Games have benchmarked AI methods since the inception of the field, with...

Amy K. Hoover, et al. ∙

research

∙ 01/11/2019

Low-Power Neuromorphic Hardware for Signal Processing Applications

Machine learning has emerged as the dominant tool for implementing compl...

Bipin Rajendran, et al. ∙

research

∙ 07/02/2019

Evolving the Hearthstone Meta

Balancing an ever growing strategic game of high complexity, such as Hea...

Fernando de Mesentier Silva, 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

∙ 11/09/2017

Stochastic Deep Learning in Memristive Networks

We study the performance of stochastically trained deep neural networks ...

Anakha V Babu, et al. ∙

research

∙ 11/09/2017

Learning and Real-time Classification of Hand-written Digits With Spiking Neural Networks

We describe a novel spiking neural network (SNN) for automated, real-tim...

Shruti R. Kulkarni, et al. ∙

research

∙ 07/13/2017

Predicting Abandonment in Online Coding Tutorials

Learners regularly abandon online coding tutorials when they get bored o...

An Yan, et al. ∙

research

∙ 09/18/2017

Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning

In this paper, we focus on developing a novel mechanism to preserve diff...

NhatHai Phan, et al. ∙

research

∙ 07/01/2017

On Scalable Inference with Stochastic Gradient Descent

In many applications involving large dataset or online updating, stochas...

Yixin Fang, et al. ∙

research

∙ 06/25/2017

Preserving Differential Privacy in Convolutional Deep Belief Networks

The remarkable development of deep learning in medicine and healthcare d...

NhatHai Phan, et al. ∙

research

∙ 02/10/2016

Feature Based Task Recommendation in Crowdsourcing with Implicit Observations

Existing research in crowdsourcing has investigated how to recommend tas...

Habibur Rahman, et al. ∙

research

∙ 12/07/2015

Optimal strategies for the control of autonomous vehicles in data assimilation

We propose a method to compute optimal control paths for autonomous vehi...

Damon McDougall, et al. ∙

research

∙ 07/10/2016

Learning to Sketch Human Facial Portraits using Personal Styles by Case-Based Reasoning

This paper employs case-based reasoning (CBR) to capture the personal st...

Bingwen Jin, et al. ∙

research

∙ 03/29/2015

Active Authentication on Mobile Devices via Stylometry, Application Usage, Web Browsing, and GPS Location

Active authentication is the problem of continuously verifying the ident...

Lex Fridman, et al. ∙

research

∙ 08/04/2014

Modulation Classification via Gibbs Sampling Based on a Latent Dirichlet Bayesian Network

A novel Bayesian modulation classification scheme is proposed for a sing...

Yu Liu, et al. ∙

research

∙ 11/26/2017

JPEG Steganalysis Based on DenseNet

Current research has indicated that convolution neural networks (CNNs) c...

Jianhua Yang, et al. ∙

research

∙ 11/28/2017

Online Edge Caching and Wireless Delivery in Fog-Aided Networks with Dynamic Content Popularity

Fog Radio Access Network (F-RAN) architectures can leverage both cloud p...

Seyyed Mohammadreza Azimi, et al. ∙

research

∙ 01/11/2018

Finite Blocklength and Dispersion Bounds for the Arbitrarily-Varying Channel

Finite blocklength and second-order (dispersion) results are presented f...

Oliver Kosut, et al. ∙

research

∙ 02/22/2018

Achievable Rate of Private Function Retrieval from MDS Coded Databases

We study the problem of private function retrieval (PFR) in a distribute...

Sarah A. Obead, et al. ∙

research

∙ 03/03/2018

ZebraLancer: Private and Anonymous Crowdsourcing System atop Open Blockchain

We design and implement the first private and anonymous decentralized cr...

Yuan Lu, et al. ∙

research

∙ 03/26/2018

Distinguishing Computer-generated Graphics from Natural Images Based on Sensor Pattern Noise and Deep Learning

Computer-generated graphics are images generated by computer software. T...

Ye Yao, et al. ∙

research

∙ 04/06/2018

Optimal Placement of a UAV to Maximize the Lifetime of Wireless Devices

Unmanned aerial vehicles (UAVs) can be used as aerial wireless base stat...

Hazim Shakhatreh, et al. ∙

research

∙ 04/11/2018

Efficient (nonrandom) construction and decoding of non-adaptive group testing

The task of non-adaptive group testing is to identify up to d defective ...

Thach V. Bui, et al. ∙

research

∙ 04/21/2018

Spatial Image Steganography Based on Generative Adversarial Network

With the recent development of deep learning on steganalysis, embedding ...

Jianhua Yang, et al. ∙

research

∙ 05/01/2018

Spectrally Robust Graph Isomorphism

We initiate the study of spectral generalizations of the graph isomorphi...

Alexandra Kolla, et al. ∙

research

∙ 05/29/2018

Coded Computation Against Distributed Straggling Decoders for Gaussian Channels in C-RAN

The uplink via additive white Gaussian noise channels of a cloud radio a...

Jinwen Shi, et al. ∙

research

∙ 06/13/2018

A Hybrid RF-VLC System for Energy Efficient Wireless Access

In this paper, we propose a new paradigm in designing and realizing ener...

Abdallah Khreishah, et al. ∙

research

∙ 06/15/2018

Random depthwise signed convolutional neural networks

Random weights in convolutional neural networks have shown promising res...

Yunzhe Xue, et al. ∙

research

∙ 07/06/2018

Energy Efficient Resource Allocation in EH-enabled CR Networks for IoT

With the rapid growth of Internet of Things (IoT) devices, the next gene...

Ali Shahini, et al. ∙

research

∙ 08/15/2018

Strong Coordination over Noisy Channels

We study the problem of strong coordination of the actions of two nodes ...

Sarah A. Obead, et al. ∙

research

∙ 08/29/2018

A study of integer sorting on multicores

Integer sorting on multicores and GPUs can be realized by a variety of a...

Alexandros V. Gerbessiotis, et al. ∙

research

∙ 09/13/2018

Achieving Low-Latency Mobile Edge Computing by Uplink and Downlink Decoupled Access in HetNets

Despite the physical proximity of computationally-enhanced Base Stations...

Ali Al-Shuwaili, et al. ∙

research

∙ 09/15/2018

Algebraic Optimization of Binary Spatially Coupled Measurement Matrices for Interval Passing

We consider binary spatially coupled (SC) low density measurement matric...

Salman Habib, et al. ∙

research

∙ 10/11/2018

A Blended Deep Learning Approach for Predicting User Intended Actions

User intended actions are widely seen in many areas. Forecasting these a...

Fei Tan, et al. ∙

research

∙ 10/23/2018

Programming Without Refining

To derive a program for a given specification R means to find an artifac...

Marwa Benabdelali, et al. ∙

research

∙ 11/18/2018

The Preemptive Resource Allocation Problem

We revisit a classical scheduling model to incorporate modern trends in ...

Kanthi Sarpatwar, et al. ∙

research

∙ 10/23/2018

Training Multilayer Spiking Neural Networks using NormAD based Spatio-Temporal Error Backpropagation

Spiking neural networks (SNNs) have garnered a great amount of interest ...

Navin Anwani, et al. ∙

research

∙ 12/01/2018

A Family-based Graphical Approach for Testing Hierarchically Ordered Families of Hypotheses

In applications of clinical trials, tested hypotheses are often grouped ...

Zhiying Qiu, et al. ∙

research

∙ 12/20/2018

NOMA Aided Narrowband IoT for Machine Type Communications with User Clustering

To support Machine Type Communications (MTC) in next generation mobile n...

Ali Shahini, et al. ∙

research

∙ 02/10/2019

Scalable Fair Clustering

We study the fair variant of the classic k-median problem introduced by ...

Arturs Backurs, et al. ∙

New Jersey Institute of Technology

Featured Researchers