
Mapping Hearthstone Deck Spaces through MAPElites with Sliding Boundaries
Quality diversity (QD) algorithms such as MAPElites have emerged as a p...
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Covariance Matrix Adaptation for the Rapid Illumination of Behavior Space
Quality Diversity (QD) algorithms like Novelty Search with Local Competi...
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The Many AI Challenges of Hearthstone
Games have benchmarked AI methods since the inception of the field, with...
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LowPower Neuromorphic Hardware for Signal Processing Applications
Machine learning has emerged as the dominant tool for implementing compl...
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Evolving the Hearthstone Meta
Balancing an ever growing strategic game of high complexity, such as Hea...
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Stochastic Deep Learning in Memristive Networks
We study the performance of stochastically trained deep neural networks ...
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Learning and Realtime Classification of Handwritten Digits With Spiking Neural Networks
We describe a novel spiking neural network (SNN) for automated, realtim...
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Predicting Abandonment in Online Coding Tutorials
Learners regularly abandon online coding tutorials when they get bored o...
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Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning
In this paper, we focus on developing a novel mechanism to preserve diff...
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On Scalable Inference with Stochastic Gradient Descent
In many applications involving large dataset or online updating, stochas...
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Preserving Differential Privacy in Convolutional Deep Belief Networks
The remarkable development of deep learning in medicine and healthcare d...
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Feature Based Task Recommendation in Crowdsourcing with Implicit Observations
Existing research in crowdsourcing has investigated how to recommend tas...
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Optimal strategies for the control of autonomous vehicles in data assimilation
We propose a method to compute optimal control paths for autonomous vehi...
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Learning to Sketch Human Facial Portraits using Personal Styles by CaseBased Reasoning
This paper employs casebased reasoning (CBR) to capture the personal st...
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Active Authentication on Mobile Devices via Stylometry, Application Usage, Web Browsing, and GPS Location
Active authentication is the problem of continuously verifying the ident...
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Modulation Classification via Gibbs Sampling Based on a Latent Dirichlet Bayesian Network
A novel Bayesian modulation classification scheme is proposed for a sing...
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JPEG Steganalysis Based on DenseNet
Current research has indicated that convolution neural networks (CNNs) c...
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Online Edge Caching and Wireless Delivery in FogAided Networks with Dynamic Content Popularity
Fog Radio Access Network (FRAN) architectures can leverage both cloud p...
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Finite Blocklength and Dispersion Bounds for the ArbitrarilyVarying Channel
Finite blocklength and secondorder (dispersion) results are presented f...
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Achievable Rate of Private Function Retrieval from MDS Coded Databases
We study the problem of private function retrieval (PFR) in a distribute...
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ZebraLancer: Private and Anonymous Crowdsourcing System atop Open Blockchain
We design and implement the first private and anonymous decentralized cr...
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Distinguishing Computergenerated Graphics from Natural Images Based on Sensor Pattern Noise and Deep Learning
Computergenerated graphics are images generated by computer software. T...
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Optimal Placement of a UAV to Maximize the Lifetime of Wireless Devices
Unmanned aerial vehicles (UAVs) can be used as aerial wireless base stat...
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Efficient (nonrandom) construction and decoding of nonadaptive group testing
The task of nonadaptive group testing is to identify up to d defective ...
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Spatial Image Steganography Based on Generative Adversarial Network
With the recent development of deep learning on steganalysis, embedding ...
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Spectrally Robust Graph Isomorphism
We initiate the study of spectral generalizations of the graph isomorphi...
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Coded Computation Against Distributed Straggling Decoders for Gaussian Channels in CRAN
The uplink via additive white Gaussian noise channels of a cloud radio a...
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A Hybrid RFVLC System for Energy Efficient Wireless Access
In this paper, we propose a new paradigm in designing and realizing ener...
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Random depthwise signed convolutional neural networks
Random weights in convolutional neural networks have shown promising res...
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Energy Efficient Resource Allocation in EHenabled CR Networks for IoT
With the rapid growth of Internet of Things (IoT) devices, the next gene...
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Strong Coordination over Noisy Channels
We study the problem of strong coordination of the actions of two nodes ...
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A study of integer sorting on multicores
Integer sorting on multicores and GPUs can be realized by a variety of a...
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Achieving LowLatency Mobile Edge Computing by Uplink and Downlink Decoupled Access in HetNets
Despite the physical proximity of computationallyenhanced Base Stations...
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Algebraic Optimization of Binary Spatially Coupled Measurement Matrices for Interval Passing
We consider binary spatially coupled (SC) low density measurement matric...
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A Blended Deep Learning Approach for Predicting User Intended Actions
User intended actions are widely seen in many areas. Forecasting these a...
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Programming Without Refining
To derive a program for a given specification R means to find an artifac...
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The Preemptive Resource Allocation Problem
We revisit a classical scheduling model to incorporate modern trends in ...
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Training Multilayer Spiking Neural Networks using NormAD based SpatioTemporal Error Backpropagation
Spiking neural networks (SNNs) have garnered a great amount of interest ...
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A Familybased Graphical Approach for Testing Hierarchically Ordered Families of Hypotheses
In applications of clinical trials, tested hypotheses are often grouped ...
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NOMA Aided Narrowband IoT for Machine Type Communications with User Clustering
To support Machine Type Communications (MTC) in next generation mobile n...
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Scalable Fair Clustering
We study the fair variant of the classic kmedian problem introduced by ...
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Statistical discrimination of RFI and astronomical transients in 2bit digitized time domain signals
We investigate the performance of the generalized Spectral Kurtosis (SK)...
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GanDef: A GAN based Adversarial Training Defense for Neural Network Classifier
Machine learning models, especially neural network (NN) classifiers, are...
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Preserving Differential Privacy in Adversarial Learning with Provable Robustness
In this paper, we aim to develop a novel mechanism to preserve different...
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An Integral Equation Method for the CahnHilliard Equation in the Wetting Problem
We present an integral equation approach to solve the CahnHilliard equa...
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ZKGanDef: A GAN based Zero Knowledge Adversarial Training Defense for Neural Networks
Neural Network classifiers have been used successfully in a wide range o...
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Stochastic Fading Channel Models with Multiple Dominant Specular Components for 5G and Beyond
We introduce a comprehensive statistical characterization of the multipa...
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A Deep SpatioTemporal Fuzzy Neural Network for Passenger Demand Prediction
In spite of its importance, passenger demand prediction is a highly chal...
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Predicting Solar Flares Using a Long ShortTerm Memory Network
We present a long shortterm memory (LSTM) network for predicting whethe...
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Enhancing Domain Word Embedding via Latent Semantic Imputation
We present a novel method named Latent Semantic Imputation (LSI) to tran...
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New Jersey Institute of Technology
New Jersey Institute of Technology is the state's public polytechnic university and a leader in STEM education, research, economic development, and service.