
High order conservative schemes for the generalized BenjaminOno equation in the unbounded domain
This paper proposes a new class of mass or energy conservative numerical...
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FedEINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning
The increasing concerns about data privacy and security drives the emerg...
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SiamCorners: Siamese Corner Networks for Visual Tracking
The current Siamese network based on region proposal network (RPN) has a...
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A Highfidelity, Machinelearning Enhanced Queueing Network Simulation Model for Hospital Ultrasound Operations
We collaborate with a large teaching hospital in Shenzhen, China and bui...
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Higher dimensional generalization of the BenjaminOno equation: 2D case
We consider a higherdimensional version of the BenjaminOno (HBO) equat...
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Arbitrarily highorder conservative schemes for the generalized Kortewegde Vries equation
This paper proposes a new class of arbitarily highorder conservative nu...
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Interaction with an obstacle in the 2d focusing nonlinear Schrödinger equation
We present a numerical study of solutions to the 2d focusing nonlinear S...
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Dynamics of solutions in the generalized BenjaminOno equation: a numerical study
We consider the generalized BenjaminOno (gBO) equation on the real line...
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TimeAutoML: Autonomous Representation Learning for Multivariate Irregularly Sampled Time Series
Multivariate time series (MTS) data are becoming increasingly ubiquitous...
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Improving Convergence for Nonconvex Composite Programming
Highdimensional nonconvex problems are popular in today's machine learn...
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LSOTBTIR:A LargeScale HighDiversity Thermal Infrared Object Tracking Benchmark
In this paper, we present a LargeScale and highdiversity general Therm...
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Behavior of solutions to the 1D focusing stochastic nonlinear Schrödinger equation with spatially correlated noise
We study the focusing stochastic nonlinear Schrödinger equation in one s...
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Behavior of solutions to the 1D focusing stochastic L^2critical and supercritical nonlinear Schrödinger equation with spacetime white noise
We study the focusing stochastic nonlinear Schrödinger equation in 1D in...
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CommunicationEfficient Edge AI Inference Over Wireless Networks
Given the fast growth of intelligent devices, it is expected that a larg...
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Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface
Intelligent InternetofThings (IoT) will be transformative with the adv...
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CommunicationEfficient Edge AI: Algorithms and Systems
Artificial intelligence (AI) has achieved remarkable breakthroughs in a ...
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Stable blowup dynamics in the L^2critical and L^2supercritical generalized Hartree equation
We study stable blowup dynamics in the generalized Hartree equation wit...
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Robust block preconditioners for poroelasticity
In this paper we study the linear systems arising from discretized poroe...
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Compressive Sensing Based Channel Estimation for MillimeterWave FullDimensional MIMO with LensArray
Channel estimation (CE) for millimeterwave (mmWave) lensarray suffers ...
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Reconfigurable Intelligent Surface for Green Edge Inference
Reconfigurable intelligent surface (RIS) as an emerging costeffective t...
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A QuasiNewton Method Based Vertical Federated Learning Framework for Logistic Regression
Data privacy and security becomes a major concern in building machine le...
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Inexact PrimalDual Gradient Projection Methods for Nonlinear Optimization on Convex Set
In this paper, we propose a novel primaldual inexact gradient projectio...
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Coverage Analysis of Integrated Sub6GHzmmWave Cellular Networks with Hotspots
Deploying Sub6GHz networks together with millimeter wave (mmWave) is a ...
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EnergyEfficient Processing and Robust Wireless Cooperative Transmission for Edge Inference
Edge machine learning can deliver lowlatency and private artificial int...
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Hadoop Perfect File: A fast access container for small files with direct in disc metadata access
Storing and processing massive small files is one of the major challenge...
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Groupwise Correlation Stereo Network
Stereo matching estimates the disparity between a rectified image pair, ...
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Federated Learning via OvertheAir Computation
The stringent requirements for lowlatency and privacy of the emerging h...
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Multitask Prediction of Patient Workload
Developing reliable workload predictive models can affect many aspects o...
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Effective Feature Learning with Unsupervised Learning for Improving the Predictive Models in Massive Open Online Courses
The effectiveness of learning in massive open online courses (MOOCs) can...
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SyntaxSQLNet: Syntax Tree Networks for Complex and CrossDomainTexttoSQL Task
Most existing studies in texttoSQL tasks do not require generating com...
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Spider: A LargeScale HumanLabeled Dataset for Complex and CrossDomain Semantic Parsing and TexttoSQL Task
We present Spider, a largescale, complex and crossdomain semantic pars...
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Generalized LowRank Optimization for Topological Cooperation in UltraDense Networks
Network densification is a natural way to support dense mobile applicati...
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Data Shuffling in Wireless Distributed Computing via LowRank Optimization
Intelligent mobile platforms such as smart vehicles and drones have rece...
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Active Learning for Wireless IoT Intrusion Detection
Internet of Things (IoT) is becoming truly ubiquitous in our everyday li...
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Incorporating Features Learned by an Enhanced Deep Knowledge Tracing Model for STEM/NonSTEM Job Prediction
The 2017 ASSISTments Data Mining competition aims to use data from a lon...
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A Deep Active Survival Analysis Approach for Precision Treatment Recommendations: Application of Prostate Cancer
Survival analysis has been developed and applied in the number of areas ...
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Blind Demixing for LowLatency Communication
In the next generation wireless networks, lowlatency communication is cr...
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A Predictive Approach Using Deep Feature Learning for Electronic Medical Records: A Comparative Study
Massive amount of electronic medical records accumulating from patients ...
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Achieve Sustainable UltraDense Heterogeneous Networks for 5G
Due to the exponentially increased demands of mobile data traffic, e.g.,...
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SUBIC: A Supervised BiClustering Approach for Precision Medicine
Traditional medicine typically applies onesizefitsall treatment for t...
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SAFS: A Deep Feature Selection Approach for Precision Medicine
In this paper, we propose a new deep feature selection method based on d...
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Autoencoder Regularized Network For Driving Style Representation Learning
In this paper, we study learning generalized driving style representatio...
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A predictive analytics approach to reducing avoidable hospital readmission
Hospital readmission has become a critical metric of quality and cost of...
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Kai Yang
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