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06/30/2022
On the efficacy of higher-order spectral clustering under weighted stochastic block models
Higher-order structures of networks, namely, small subgraphs of networks...
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04/05/2021
Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images
Automatic breast lesion segmentation in ultrasound helps to diagnose bre...
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03/22/2021
Mathematical Theory of Computational Resolution Limit in Multi-dimensions
Resolving a linear combination of point sources from their band-limited ...
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01/22/2021
Differentially Private SGD with Non-Smooth Loss
In this paper, we are concerned with differentially private SGD algorith...
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04/25/2020
Randomized spectral co-clustering for large-scale directed networks
Directed networks are generally used to represent asymmetric relationshi...
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02/26/2020
Resolution Limit for Line Spectral Estimation: Theory and Algorithm
Line spectral estimation is a classical signal processing problem aimed ...
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01/20/2020
Randomized Spectral Clustering in Large-Scale Stochastic Block Models
Spectral clustering has been one of the widely used methods for communit...
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09/06/2019
Differentially Private Precision Matrix Estimation
In this paper, we study the problem of precision matrix estimation when ...
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08/02/2019
Differential Privacy for Sparse Classification Learning
In this paper, we present a differential privacy version of convex and n...
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04/11/2019