
Hessian informed mirror descent
Inspired by the recent paper (L. Ying, Mirror descent algorithms for min...
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Privacy Threats Analysis to Secure Federated Learning
Federated learning is emerging as a machine learning technique that trai...
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Spline Smoothing of 3D Geometric Data
Over the past two decades, we have seen an increased demand for 3D visua...
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Simultaneous Confidence Corridors for Mean Functions in Functional Data Analysis of Imaging Data
Motivated by recent work involving the analysis of biomedical imaging da...
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Multivariate Spline Estimation and Inference for ImageOnScalar Regression
Motivated by recent data analyses in biomedical imaging studies, we cons...
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Joint Training of the Superimposed Direct and Reflected Links in Reconfigurable Intelligent Surface Assisted Multiuser Communications
In Reconfigurable intelligent surface (RIS)assisted systems the acquisi...
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AGSFCOS: Based on attention mechanism and ScaleEqualizing pyramid network of object detection
Recently, the anchorfree object detection model has shown great potenti...
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Towards a Model for LSH
As data volumes continue to grow, clustering and outlier detection algor...
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LiteFPN for Keypointbased Monocular 3D Object Detection
3D object detection with a single image is an essential and challenging ...
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PrivacyPreserving Federated Learning on Partitioned Attributes
Realworld data is usually segmented by attributes and distributed acros...
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On Generalizing Trace Minimization
Ky Fan's trace minimization principle is extended along the line of the ...
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Depthconditioned Dynamic Message Propagation for Monocular 3D Object Detection
The objective of this paper is to learn context and depthaware feature...
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CrossDataset Collaborative Learning for Semantic Segmentation
Recent work attempts to improve semantic segmentation performance by exp...
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An Efficient Calibration Method for Triaxial Gyroscope
This paper presents an efficient servomotoraided calibration method for...
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An asymptotic preserving scheme for LévyFokkerPlanck equation with fractional diffusion limit
In this paper, we develop a numerical method for the LévyFokkerPlanck ...
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SAT GCN: SpatialAttention Graph Convolution Network based Feature Enhancement for 3D Object Detection
3D object detection plays a crucial role in environmental perception for...
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DM algorithms in healthindustry
This survey reviews several approaches of data mining (DM) in healthindu...
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Representing Alzheimer's Disease Progression via Deep Prototype Tree
For decades, a variety of predictive approaches have been proposed and e...
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Datadriven peakon and periodic peakon travelling wave solutions of some nonlinear dispersive equations via deep learning
In the field of mathematical physics, there exist many physically intere...
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Trace Ratio Optimization with an Application to Multiview Learning
A trace ratio optimization problem over the Stiefel manifold is investig...
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Datadriven rogue waves and parameter discovery in the defocusing NLS equation with a potential using the PINN deep learning
The physicsinformed neural networks (PINNs) can be used to deep learn t...
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Towards Scalable and PrivacyPreserving Deep Neural Network via AlgorithmicCryptographic Codesign
Deep Neural Networks (DNNs) have achieved remarkable progress in various...
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Complex Relation Extraction: Challenges and Opportunities
Relation extraction aims to identify the target relations of entities in...
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Computer Stereo Vision for Autonomous Driving
For a long time, autonomous cars were found only in science fiction movi...
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A relaxation accelerated twosweep modulusbased matrix splitting iteration method for solving linear complementarity problems
For a linear complementarity problem, we present a relaxaiton accelerate...
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Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty
Federated learning (FL) has attracted increasing attention in recent yea...
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Uncorrelated Semipaired Subspace Learning
Multiview datasets are increasingly collected in many realworld applic...
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Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications
Knowledge Graph (KG) has attracted more and more companies' attention fo...
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A Theoretical Perspective on Differentially Private Federated Multitask Learning
In the era of big data, the need to expand the amount of data through da...
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Exploiting Reconfigurable Intelligent Surfaces in Edge Caching: Joint Hybrid Beamforming and Content Placement Optimization
Edge caching can effectively reduce backhaul burden at core network and ...
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ASFGNN: Automated SeparatedFederated Graph Neural Network
Graph Neural Networks (GNNs) have achieved remarkable performance by tak...
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Domain Adaptation Using Class Similarity for Robust Speech Recognition
When only limited target domain data is available, domain adaptation cou...
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MultiAccent Adaptation based on Gate Mechanism
When only a limited amount of accented speech data is available, to prom...
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Orthogonal Multiview Analysis by Successive Approximations via Eigenvectors
We propose a unified framework for multiview subspace learning to learn...
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Privacypreserving Transfer Learning via Secure Maximum Mean Discrepancy
The success of machine learning algorithms often relies on a large amoun...
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A Comprehensive Analysis of Information Leakage in Deep Transfer Learning
Transfer learning is widely used for transferring knowledge from a sourc...
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Deep Historical Borrowing Framework to Prospectively and Simultaneously Synthesize Control Information in Confirmatory Clinical Trials with Multiple Endpoints
In current clinical trial development, historical information is receivi...
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Multiview Orthonormalized Partial Least Squares: Regularizations and Deep Extensions
We establish a family of subspacebased learning method for multiview l...
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MultiSite Infant Brain Segmentation Algorithms: The iSeg2019 Challenge
To better understand early brain growth patterns in health and disorder,...
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Variational Asymptotic Preserving Scheme for the VlasovPoissonFokkerPlanck System
We design a variational asymptotic preserving scheme for the VlasovPois...
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A ProximalGradient Algorithm for Crystal Surface Evolution
As a counterpoint to recent numerical methods for crystal surface evolut...
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Comparing and Integrating US COVID19 Daily Data from Multiple Sources: A CountyLevel Dataset with Local Characteristics
Over the past several months, the outbreak of COVID19 has been expandin...
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Deep Tensor CCA for Multiview Learning
We present Deep Tensor Canonical Correlation Analysis (DTCCA), a method ...
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PrivacyPreserving Graph Neural Network for Node Classification
Recently, Graph Neural Network (GNN) has achieved remarkable progresses ...
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DrosophilaInspired 3D Moving Object Detection Based on Point Clouds
3D moving object detection is one of the most critical tasks in dynamic ...
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Spatiotemporal Dynamics, Nowcasting and Forecasting of COVID19 in the United States
In response to the ongoing public health emergency of COVID19, we inves...
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Practical Privacy Preserving POI Recommendation
PointofInterest (POI) recommendation has been extensively studied and ...
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InfDetect: a Large Scale Graphbased Fraud Detection System for ECommerce Insurance
The insurance industry has been creating innovative products around the ...
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Adapted tree boosting for Transfer Learning
Secure online transaction is an essential task for ecommerce platforms....
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Privacy Preserving PCA for Multiparty Modeling
In this paper, we present a general multiparty modeling paradigm with P...
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Li Wang
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The University of Texas at Arlington
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