b'He Sun'

research

∙ 09/07/2023

Three Hardness Results for Graph Similarity Problems

Notions of graph similarity provide alternative perspective on the graph...

0 He Sun, et al. ∙

research

∙ 08/23/2023

Recovering a Molecule's 3D Dynamics from Liquid-phase Electron Microscopy Movies

The dynamics of biomolecules are crucial for our understanding of their ...

0 Enze Ye, et al. ∙

research

∙ 06/16/2023

Nearly-Optimal Hierarchical Clustering for Well-Clustered Graphs

This paper presents two efficient hierarchical clustering (HC) algorithm...

8 Steinar Laenen, et al. ∙

research

∙ 04/12/2023

Ill-Posed Image Reconstruction Without an Image Prior

We consider solving ill-posed imaging inverse problems without access to...

0 Oscar Leong, et al. ∙

research

∙ 04/05/2023

Spectral Toolkit of Algorithms for Graphs: Technical Report (1)

Spectral Toolkit of Algorithms for Graphs (STAG) is an open-source libra...

3 Peter Macgregor, et al. ∙

research

∙ 03/21/2023

Image Reconstruction without Explicit Priors

We consider solving ill-posed imaging inverse problems without access to...

2 Angela F. Gao, et al. ∙

research

∙ 11/08/2022

Reinforcement Learning with Stepwise Fairness Constraints

AI methods are used in societally important settings, ranging from credi...

4 Zhun Deng, et al. ∙

research

∙ 10/18/2022

Research on the impact of asteroid mining on global equity

In the future situation, aiming to seek more resources, human beings dec...

0 He Sun, et al. ∙

research

∙ 08/02/2022

A Tighter Analysis of Spectral Clustering, and Beyond

This work studies the classical spectral clustering algorithm which embe...

5 Peter Macgregor, et al. ∙

research

∙ 07/26/2022

Nondestructive Quality Control in Powder Metallurgy using Hyperspectral Imaging

Measuring the purity in the metal powder is critical for preserving the ...

5 Yijun Yan, et al. ∙

research

∙ 05/05/2022

Finding Bipartite Components in Hypergraphs

Hypergraphs are important objects to model ternary or higher-order relat...

1 Peter Macgregor, et al. ∙

research

∙ 05/04/2022

Is the Algorithmic Kadison-Singer Problem Hard?

We study the following 𝖪𝖲_2(c) problem: let c ∈ℝ^+ be some constant, and...

0 Ben Jourdan, et al. ∙

research

∙ 04/01/2022

Differential Liquidity Provision in Uniswap v3 and Implications for Contract Design

Decentralized exchanges (DEXs) provide a means for users to trade pairs ...

0 Zhou Fan, et al. ∙

research

∙ 01/28/2022

Hybrid Contrastive Learning with Cluster Ensemble for Unsupervised Person Re-identification

Unsupervised person re-identification (ReID) aims to match a query image...

16 He Sun, et al. ∙

research

∙ 01/21/2022

alpha-Deep Probabilistic Inference (alpha-DPI): efficient uncertainty quantification from exoplanet astrometry to black hole feature extraction

Inference is crucial in modern astronomical research, where hidden astro...

5 He Sun, et al. ∙

research

∙ 12/16/2021

Hierarchical Clustering: O(1)-Approximation for Well-Clustered Graphs

Hierarchical clustering studies a recursive partition of a data set into...

3 Bogdan-Adrian Manghiuc, et al. ∙

research

∙ 06/09/2021

Local Algorithms for Finding Densely Connected Clusters

Local graph clustering is an important algorithmic technique for analysi...

18 Peter Macgregor, et al. ∙

research

∙ 06/08/2021

Optimized Rate-Profiling for PAC Codes

The polarization-adjusted convolutional (PAC) codes concatenate the pola...

0 He Sun, et al. ∙

research

∙ 05/13/2021

End-to-End Sequential Sampling and Reconstruction for MR Imaging

Accelerated MRI shortens acquisition time by subsampling in the measurem...

19 Tianwei Yin, et al. ∙

research

∙ 11/10/2020

Higher-Order Spectral Clustering of Directed Graphs

Clustering is an important topic in algorithms, and has a number of appl...

13 Steinar Laenen, et al. ∙

research

∙ 10/27/2020

Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging

Computational image reconstruction algorithms generally produce a single...

10 He Sun, et al. ∙

research

∙ 09/26/2020

Decision-Aware Conditional GANs for Time Series Data

We introduce the decision-aware time-series conditional generative adver...

7 He Sun, et al. ∙

research

∙ 06/25/2020

Augmenting the Algebraic Connectivity of Graphs

For any undirected graph G=(V,E) and a set E_W of candidate edges with E...

0 Bogdan-Adrian Manghiuc, et al. ∙

research

∙ 05/18/2020

Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery

Recently, single gray/RGB image super-resolution reconstruction task has...

4 Junjun Jiang, et al. ∙

research

∙ 04/17/2020

Fully-Dynamic Graph Sparsifiers Against an Adaptive Adversary

Designing dynamic graph algorithms against an adaptive adversary is a ma...

0 Aaron Bernstein, et al. ∙

research

∙ 03/23/2020

Learning a Probabilistic Strategy for Computational Imaging Sensor Selection

Optimized sensing is important for computational imaging in low-resource...

25 He Sun, et al. ∙

research

∙ 08/06/2019

Hermitian matrices for clustering directed graphs: insights and applications

Graph clustering is a basic technique in machine learning, and has wides...

4 Mihai Cucuringu, et al. ∙

research

∙ 11/27/2018

Hermitian Laplacians and a Cheeger inequality for the Max-2-Lin problem

We study spectral approaches for the MAX-2-LIN(k) problem, in which we a...

0 Huan Li, et al. ∙

research

∙ 03/15/2018

Temporal Human Action Segmentation via Dynamic Clustering

We present an effective dynamic clustering algorithm for the task of tem...

0 Yan Zhang, et al. ∙

research

∙ 11/03/2017

Distributed Graph Clustering and Sparsification

Graph clustering is a fundamental computational problem with a number of...

0 He Sun, et al. ∙

He Sun

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