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09/19/2023
Fast and reconfigurable sort-in-memory system enabled by memristors
Sorting is fundamental and ubiquitous in modern computing systems. Hardw...
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09/05/2023
STGIN: Spatial-Temporal Graph Interaction Network for Large-scale POI Recommendation
In Location-Based Services, Point-Of-Interest(POI) recommendation plays ...
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06/30/2023
FedBone: Towards Large-Scale Federated Multi-Task Learning
Heterogeneous federated multi-task learning (HFMTL) is a federated learn...
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05/08/2023
Scalable Optimal Margin Distribution Machine
Optimal margin Distribution Machine (ODM) is a newly proposed statistica...
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04/13/2023
Understanding Overfitting in Adversarial Training via Kernel Regression
Adversarial training and data augmentation with noise are widely adopted...
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12/29/2022
Theoretical Guarantees for Sparse Principal Component Analysis based on the Elastic Net
Sparse principal component analysis (SPCA) is widely used for dimensiona...
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05/14/2022
Robust Regularized Low-Rank Matrix Models for Regression and Classification
While matrix variate regression models have been studied in many existin...
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04/29/2022
On the Optimization of Margin Distribution
Margin has played an important role on the design and analysis of learni...
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03/14/2022
The Design and Implementation of a Broadly Applicable Algorithm for Optimizing Intra-Day Surgical Scheduling
Surgical scheduling optimization is an active area of research. However,...
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03/08/2022
Element-wise Estimation Error of Generalized Fused Lasso
The main result of this article is that we obtain an elementwise error b...
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09/22/2021
Exploring Adversarial Examples for Efficient Active Learning in Machine Learning Classifiers
Machine learning researchers have long noticed the phenomenon that the m...
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09/08/2021
FaceCook: Face Generation Based on Linear Scaling Factors
With the excellent disentanglement properties of state-of-the-art genera...
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02/20/2021
ALMA: Alternating Minimization Algorithm for Clustering Mixture Multilayer Network
The paper considers a Mixture Multilayer Stochastic Block Model (MMLSBM)...
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11/18/2020
The Development and Deployment of a Model for Hospital-level COVID-19 Associated Patient Demand Intervals from Consistent Estimators (DICE)
Hospitals commonly project demand for their services by combining their ...
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08/22/2020
Applications of BERT Based Sequence Tagging Models on Chinese Medical Text Attributes Extraction
We convert the Chinese medical text attributes extraction task into a se...
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06/13/2020
Faces à la Carte: Text-to-Face Generation via Attribute Disentanglement
Text-to-Face (TTF) synthesis is a challenging task with great potential ...
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05/07/2020
Phase retrieval of complex-valued objects via a randomized Kaczmarz method
This paper investigates the convergence of the randomized Kaczmarz algor...
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02/07/2020
Memory Augmented Generative Adversarial Networks for Anomaly Detection
In this paper, we present a memory-augmented algorithm for anomaly detec...
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09/22/2019
To What Extent Does Downsampling, Compression, and Data Scarcity Impact Renal Image Analysis?
The condition of the Glomeruli, or filter sacks, in renal Direct Immunof...
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08/06/2019
An Algorithm for Graph-Fused Lasso Based on Graph Decomposition
This work proposes a new algorithm for solving the graph-fused lasso (GF...
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07/16/2019
Deep inspection: an electrical distribution pole parts study via deep neural networks
Electrical distribution poles are important assets in electricity supply...
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06/24/2019
Deep Instance-Level Hard Negative Mining Model for Histopathology Images
Histopathology image analysis can be considered as a Multiple instance l...
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06/24/2019
CORAL8: Concurrent Object Regression for Area Localization in Medical Image Panels
This work tackles the problem of generating a medical report for multi-i...
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01/03/2019
Element-wise estimation error of a total variation regularized estimator for change point detection
This work studies the total variation regularized ℓ_2 estimator (fused l...
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12/04/2018
Phase Retrieval by Alternating Minimization with Random Initialization
We consider a phase retrieval problem, where the goal is to reconstruct ...
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07/10/2018
Parallax Bundle Adjustment on Manifold with Convexified Initialization
Bundle adjustment (BA) with parallax angle based feature parameterizatio...
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05/27/2018
Adaptive Signal Inclusion With Genomic Applications
This paper addresses the challenge of efficiently capturing a high propo...
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04/08/2018
eQTL Mapping via Effective SNP Ranking and Screening
Genome-wide eQTL mapping explores the relationship between gene expressi...
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03/20/2018
SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks
This work tackles the automatic fine-grained slide quality assessment pr...
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02/21/2018
CoVeR: Learning Covariate-Specific Vector Representations with Tensor Decompositions
Word embedding is a useful approach to capture co-occurrence structures ...
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12/07/2017
TV-GAN: Generative Adversarial Network Based Thermal to Visible Face Recognition
This work tackles the face recognition task on images captured using the...
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09/27/2017
Exact Camera Location Recovery by Least Unsquared Deviations
We establish exact recovery for the Least Unsquared Deviations (LUD) alg...
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08/20/2017
Stochastic Primal-Dual Proximal ExtraGradient Descent for Compositely Regularized Optimization
We consider a wide range of regularized stochastic minimization problems...
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08/07/2017
The discrete moment problem with nonconvex shape constraints
The discrete moment problem is a foundational problem in distribution-fr...
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08/01/2017
Robust PCA by Manifold Optimization
Robust PCA is a widely used statistical procedure to recover a underlyin...
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06/16/2017
The Monkeytyping Solution to the YouTube-8M Video Understanding Challenge
This article describes the final solution of team monkeytyping, who fini...
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06/13/2017
A Well-Tempered Landscape for Non-convex Robust Subspace Recovery
We present a mathematical analysis of a non-convex energy landscape for ...
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05/02/2017
Spectral clustering in the dynamic stochastic block model
In the present paper, we studied a Dynamic Stochastic Block Model (DSBM)...
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02/22/2016
Denoising and Covariance Estimation of Single Particle Cryo-EM Images
The problem of image restoration in cryo-EM entails correcting for the e...
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12/01/2014
Orthogonal Matrix Retrieval in Cryo-Electron Microscopy
In single particle reconstruction (SPR) from cryo-electron microscopy (c...
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01/09/2013
Spectral Clustering Based on Local PCA
We propose a spectral clustering method based on local principal compone...
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02/18/2012
Robust computation of linear models by convex relaxation
Consider a dataset of vector-valued observations that consists of noisy ...
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12/20/2011
A Novel M-Estimator for Robust PCA
We study the basic problem of robust subspace recovery. That is, we assu...
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04/19/2011
Robust recovery of multiple subspaces by geometric l_p minimization
We assume i.i.d. data sampled from a mixture distribution with K compone...
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12/18/2010
lp-Recovery of the Most Significant Subspace among Multiple Subspaces with Outliers
We assume data sampled from a mixture of d-dimensional linear subspaces ...
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10/17/2010
Hybrid Linear Modeling via Local Best-fit Flats
We present a simple and fast geometric method for modeling data by a uni...
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05/05/2010
Randomized hybrid linear modeling by local best-fit flats
The hybrid linear modeling problem is to identify a set of d-dimensional...
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02/09/2010
Probabilistic Recovery of Multiple Subspaces in Point Clouds by Geometric lp Minimization
We assume data independently sampled from a mixture distribution on the ...
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09/16/2009