b'Yihong Wu'

research

∙ 07/21/2023

MatSpectNet: Material Segmentation Network with Domain-Aware and Physically-Constrained Hyperspectral Reconstruction

Achieving accurate material segmentation for 3-channel RGB images is cha...

0 Yuwen Heng, et al. ∙

research

∙ 07/05/2023

Empirical Bayes via ERM and Rademacher complexities: the Poisson model

We consider the problem of empirical Bayes estimation for (multivariate)...

0 Soham Jana, et al. ∙

research

∙ 06/21/2023

Entropic characterization of optimal rates for learning Gaussian mixtures

We consider the question of estimating multi-dimensional Gaussian mixtur...

0 Zeyu Jia, et al. ∙

research

∙ 05/25/2023

ConvGQR: Generative Query Reformulation for Conversational Search

In conversational search, the user's real search intent for the current ...

0 Fengran Mo, et al. ∙

research

∙ 04/01/2023

NPR: Nocturnal Place Recognition in Street

Visual Place Recognition (VPR) is the task of retrieving database images...

0 Bingxi Liu, et al. ∙

research

∙ 02/14/2023

Large-scale Multiple Testing: Fundamental Limits of False Discovery Rate Control and Compound Oracle

The false discovery rate (FDR) and the false non-discovery rate (FNR), d...

0 Yutong Nie, et al. ∙

research

∙ 12/20/2022

Random linear estimation with rotationally-invariant designs: Asymptotics at high temperature

We study estimation in the linear model y=Aβ^⋆+ϵ, in a Bayesian setting ...

0 Yufan Li, et al. ∙

research

∙ 11/23/2022

Empirical Bayes estimation: When does g-modeling beat f-modeling in theory (and in practice)?

Empirical Bayes (EB) is a popular framework for large-scale inference th...

0 Yandi Shen, et al. ∙

research

∙ 09/25/2022

Random graph matching at Otter's threshold via counting chandeliers

We propose an efficient algorithm for graph matching based on similarity...

0 Cheng Mao, et al. ∙

research

∙ 09/03/2022

Optimal empirical Bayes estimation for the Poisson model via minimum-distance methods

The Robbins estimator is the most iconic and widely used procedure in th...

0 Soham Jana, et al. ∙

research

∙ 02/22/2022

Random Graph Matching in Geometric Models: the Case of Complete Graphs

This paper studies the problem of matching two complete graphs with edge...

0 Haoyu Wang, et al. ∙

research

∙ 01/16/2022

Lightweight Object-level Topological Semantic Mapping and Long-term Global Localization based on Graph Matching

Mapping and localization are two essential tasks for mobile robots in re...

0 Fan Wang, et al. ∙

research

∙ 12/20/2021

Scale-Net: Learning to Reduce Scale Differences for Large-Scale Invariant Image Matching

Most image matching methods perform poorly when encountering large scale...

22 Yujie Fu, et al. ∙

research

∙ 10/22/2021

Testing network correlation efficiently via counting trees

We propose a new procedure for testing whether two networks are edge-cor...

0 Cheng Mao, et al. ∙

research

∙ 09/08/2021

Sharp regret bounds for empirical Bayes and compound decision problems

We consider the classical problems of estimating the mean of an n-dimens...

0 Yury Polyanskiy, et al. ∙

research

∙ 06/26/2021

Optimal prediction of Markov chains with and without spectral gap

We study the following learning problem with dependent data: Observing a...

0 Yanjun Han, et al. ∙

research

∙ 05/06/2021

The replica-symmetric free energy for Ising spin glasses with orthogonally invariant couplings

We study the mean-field Ising spin glass model with external field, wher...

0 Zhou Fan, et al. ∙

research

∙ 04/15/2021

Polynomial methods in statistical inference: theory and practice

This survey provides an exposition of a suite of techniques based on the...

0 Yihong Wu, et al. ∙

research

∙ 03/17/2021

The planted matching problem: Sharp threshold and infinite-order phase transition

We study the problem of reconstructing a perfect matching M^* hidden in ...

0 Jian Ding, et al. ∙

research

∙ 01/29/2021

Settling the Sharp Reconstruction Thresholds of Random Graph Matching

This paper studies the problem of recovering the hidden vertex correspon...

0 Yihong Wu, et al. ∙

research

∙ 01/13/2021

EventAnchor: Reducing Human Interactions in Event Annotation of Racket Sports Videos

The popularity of racket sports (e.g., tennis and table tennis) leads to...

8 Dazhen Deng, et al. ∙

research

∙ 12/17/2020

Semi-Global Shape-aware Network

Non-local operations are usually used to capture long-range dependencies...

0 Pengju Zhang, et al. ∙

research

∙ 09/23/2020

Leveraging Local and Global Descriptors in Parallel to Search Correspondences for Visual Localization

Visual localization to compute 6DoF camera pose from a given image has w...

0 Pengju Zhang, et al. ∙

research

∙ 09/14/2020

Learning Mixtures of Permutations: Groups of Pairwise Comparisons and Combinatorial Method of Moments

In applications such as rank aggregation, mixture models for permutation...

0 Cheng Mao, et al. ∙

research

∙ 08/31/2020

Note on approximating the Laplace transform of a Gaussian on a complex disk

In this short note we study how well a Gaussian distribution can be appr...

0 Yury Polyanskiy, et al. ∙

research

∙ 08/23/2020

Testing correlation of unlabeled random graphs

We study the problem of detecting the edge correlation between two rando...

0 Yihong Wu, et al. ∙

research

∙ 08/19/2020

Self-regularizing Property of Nonparametric Maximum Likelihood Estimator in Mixture Models

Introduced by Kiefer and Wolfowitz <cit.>, the nonparametric maximum lik...

0 Yury Polyanskiy, et al. ∙

research

∙ 07/09/2020

VisImages: A Large-scale, High-quality Image Corpus in Visualization Publications

Images in visualization publications contain rich information, such as n...

0 Dazhen Deng, et al. ∙

research

∙ 05/21/2020

Extrapolating the profile of a finite population

We study a prototypical problem in empirical Bayes. Namely, consider a p...

0 Soham Jana, et al. ∙

research

∙ 03/31/2020

Likelihood landscape and maximum likelihood estimation for the discrete orbit recovery model

We study the non-convex optimization landscape for maximum likelihood es...

0 Zhou Fan, et al. ∙

research

∙ 02/14/2020

Optimal estimation of high-dimensional Gaussian mixtures

This paper studies the optimal rate of estimation in a finite Gaussian l...

0 Natalie Doss, et al. ∙

research

∙ 11/18/2019

Consistent recovery threshold of hidden nearest neighbor graphs

Motivated by applications such as discovering strong ties in social netw...

0 Jian Ding, et al. ∙

research

∙ 08/28/2019

Randomly initialized EM algorithm for two-component Gaussian mixture achieves near optimality in O(√(n)) iterations

We analyze the classical EM algorithm for parameter estimation in the sy...

0 Yihong Wu, et al. ∙

research

∙ 07/24/2019

Efficient Circle-Based Camera Pose Tracking Free of PnP

Camera pose tracking attracts much interest both from academic and indus...

2 Fulin Tang, et al. ∙

research

∙ 07/20/2019

Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality

We analyze a new spectral graph matching algorithm, GRAph Matching by Pa...

0 Zhou Fan, et al. ∙

research

∙ 07/20/2019

Spectral Graph Matching and Regularized Quadratic Relaxations I: The Gaussian Model

Graph matching aims at finding the vertex correspondence between two unl...

0 Zhou Fan, et al. ∙

research

∙ 06/27/2019

Automatically Extract the Semi-transparent Motion-blurred Hand from a Single Image

When we use video chat, video game, or other video applications, motion-...

8 Xiaomei Zhao, et al. ∙

research

∙ 03/29/2019

Data Amplification: A Unified and Competitive Approach to Property Estimation

Estimating properties of discrete distributions is a fundamental problem...

0 Yi Hao, et al. ∙

research

∙ 02/14/2019

Dualizing Le Cam's method, with applications to estimating the unseens

One of the most commonly used techniques for proving statistical lower b...

0 Yury Polyanskiy, et al. ∙

research

∙ 11/19/2018

Efficient random graph matching via degree profiles

Random graph matching refers to recovering the underlying vertex corresp...

0 Jian Ding, et al. ∙

research

∙ 10/19/2018

Heteroskedastic PCA: Algorithm, Optimality, and Applications

Principal component analysis (PCA) and singular value decomposition (SVD...

0 Anru Zhang, et al. ∙

research

∙ 07/19/2018

Optimal estimation of Gaussian mixtures via denoised method of moments

The Method of Moments [Pea94] is one of the most widely used methods in ...

0 Yihong Wu, et al. ∙

research

∙ 06/11/2018

Application of information-percolation method to reconstruction problems on graphs

In this paper we propose a method of proving impossibility results based...

0 Yury Polyanskiy, et al. ∙

research

∙ 05/31/2018

Statistical Problems with Planted Structures: Information-Theoretical and Computational Limits

Over the past few years, insights from computer science, statistical phy...

0 Yihong Wu, et al. ∙

research

∙ 04/15/2018

Hidden Hamiltonian Cycle Recovery via Linear Programming

We introduce the problem of hidden Hamiltonian cycle recovery, where the...

0 Vivek Bagaria, et al. ∙

research

∙ 02/22/2018

Entropy Rate Estimation for Markov Chains with Large State Space

Estimating the entropy based on data is one of the prototypical problems...

0 Yanjun Han, et al. ∙

research

∙ 02/21/2018

Counting Motifs with Graph Sampling

Applied researchers often construct a network from a random sample of no...

0 Jason M. Klusowski, et al. ∙

research

∙ 01/12/2018

Estimating the Number of Connected Components in a Graph via Subgraph Sampling

Learning properties of large graphs from samples has been an important p...

0 Jason M. Klusowski, et al. ∙

research

∙ 01/01/2018

Statistical and Computational Limits for Sparse Matrix Detection

This paper investigates the fundamental limits for detecting a high-dime...

0 T. Tony Cai, et al. ∙

research

∙ 11/06/2017

Optimal rates of entropy estimation over Lipschitz balls

We consider the problem of minimax estimation of the entropy of a densit...

0 Yanjun Han, et al. ∙

Yihong Wu

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