research
∙
05/18/2023
Faster Parallel Exact Density Peaks Clustering
Clustering multidimensional points is a fundamental data mining task, wi...
share
research
∙
05/12/2023
Dr. LLaMA: Improving Small Language Models in Domain-Specific QA via Generative Data Augmentation
Large Language Models (LLMs) have made significant strides in natural la...
research
∙
03/09/2023
Parallel Filtered Graphs for Hierarchical Clustering
Given all pairwise weights (distances) among a set of objects, filtered ...
research
∙
11/20/2022
Differential Privacy from Locally Adjustable Graph Algorithms: k-Core Decomposition, Low Out-Degree Ordering, and Densest Subgraphs
Differentially private algorithms allow large-scale data analytics while...
research
∙
07/05/2022
ParGeo: A Library for Parallel Computational Geometry
This paper presents ParGeo, a multicore library for computational geomet...
research
∙
06/08/2021
ParChain: A Framework for Parallel Hierarchical Agglomerative Clustering using Nearest-Neighbor Chain
This paper studies the hierarchical clustering problem, where the goal i...
research
∙
06/07/2021
Parallel Batch-Dynamic k-Core Decomposition
Maintaining a k-core decomposition quickly in a dynamic graph is an impo...
research
∙
04/02/2021
Fast Parallel Algorithms for Euclidean Minimum Spanning Tree and Hierarchical Spatial Clustering
This paper presents new parallel algorithms for generating Euclidean min...
research
∙
10/05/2020
A Parallel Batch-Dynamic Data Structure for the Closest Pair Problem
We propose a theoretically-efficient and practical parallel batch-dynami...
research
∙
09/09/2019
Analyzing the Spotify Top 200 Through a Point Process Lens
Every generation throws a hero up the pop charts. For the current genera...
research
∙
02/06/2019
