activity
20182024
most citedHappyDB: A Corpus of 100,000 Crowdsourced Happy Moments

31 citations · 35 across the 22 of their papers we have counts for

collaborators

28 papers

cs.DS2024

Faster Weighted and Unweighted Tree Edit Distance and APSP Equivalence

Jakob Nogler, Adam Polak, Barna Saha +3

The tree edit distance (TED) between two rooted ordered trees with nodes labeled from an alphabet is the minimum cost of transforming one tree into the other by a sequence…

cs.DS2024

All-Hops Shortest Paths

Virginia Vassilevska Williams, Zoe Xi, Yinzhan Xu +1

Let be a weighted directed graph without negative cycles. For two vertices , we let be the minimum, according to the weight function , of…

cs.DS2024

Fine-Grained Optimality of Partially Dynamic Shortest Paths and More

Barna Saha, Virginia Vassilevska Williams, Yinzhan Xu +1

Single Source Shortest Paths () is among the most well-studied problems in computer science. In the incremental (resp. decremental) setting, the goal is to maintain…

cs.DS2024

More Asymmetry Yields Faster Matrix Multiplication

Josh Alman, Ran Duan, Virginia Vassilevska Williams +3

We present a new improvement on the laser method for designing fast matrix multiplication algorithms. The new method further develops the recent advances by [Duan, Wu, Zhou FOCS 20…

cs.DS2024

Shaving Logs via Large Sieve Inequality: Faster Algorithms for Sparse Convolution and More

Ce Jin, Yinzhan Xu

In sparse convolution-type problems, a common technique is to hash the input integers modulo a random prime for some parameter , which reduces the range of the in…

cs.DS2023

Simpler and Higher Lower Bounds for Shortcut Sets

Virginia Vassilevska Williams, Yinzhan Xu, Zixuan Xu

We provide a variety of lower bounds for the well-known shortcut set problem: how much can one decrease the diameter of a directed graph on vertices and edges by adding $O(…

cs.DS2023

Simpler Reductions from Exact Triangle

Timothy M. Chan, Yinzhan Xu

In this paper, we provide simpler reductions from Exact Triangle to two important problems in fine-grained complexity: Exact Triangle with Few Zero-Weight -Cycles and All-Edges…

cs.DS2023

Faster Algorithms for Text-to-Pattern Hamming Distances

Timothy M. Chan, Ce Jin, Virginia Vassilevska Williams +1

We study the classic Text-to-Pattern Hamming Distances problem: given a pattern of length and a text of length , both over a polynomial-size alphabet, compute the Ha…

cs.DS2023

Towards Optimal Output-Sensitive Clique Listing or: Listing Cliques from Smaller Cliques

Mina Dalirrooyfard, Surya Mathialagan, Virginia Vassilevska Williams +1

We study finding and listing -cliques in a graph, for constant , a fundamental problem of both theoretical and practical importance. Our main contribution is a new outp…

cs.DS2023

New Bounds for Matrix Multiplication: from Alpha to Omega

Virginia Vassilevska Williams, Yinzhan Xu, Zixuan Xu +1

The main contribution of this paper is a new improved variant of the laser method for designing matrix multiplication algorithms. Building upon the recent techniques of [Duan, Wu,…

cs.DS2023

Fredman's Trick Meets Dominance Product: Fine-Grained Complexity of Unweighted APSP, 3SUM Counting, and More

Timothy M. Chan, Virginia Vassilevska Williams, Yinzhan Xu

In this paper we carefully combine Fredman's trick [SICOMP'76] and Matoušek's approach for dominance product [IPL'91] to obtain powerful results in fine-grained complexity: - Under…

cs.DS2023

Optimal Bounds for Noisy Sorting

Yuzhou Gu, Yinzhan Xu

Sorting is a fundamental problem in computer science. In the classical setting, it is well-known that comparisons are both necessary and sufficient to sort…

cs.GT2022

Near-Tight Algorithms for the Chamberlin-Courant and Thiele Voting Rules

Krzysztof Sornat, Virginia Vassilevska Williams, Yinzhan Xu

We present an almost optimal algorithm for the classic Chamberlin-Courant multiwinner voting rule (CC) on single-peaked preference profiles. Given voters and candidates, it…

cs.DS2022

Removing Additive Structure in 3SUM-Based Reductions

Ce Jin, Yinzhan Xu

Our work explores the hardness of SUM instances without certain additive structures, and its applications. As our main technical result, we show that solving SUM on a size-$n…

cs.DS2022

Algorithms and Lower Bounds for Replacement Paths under Multiple Edge Failures

Virginia Vassilevska Williams, Eyob Woldeghebriel, Yinzhan Xu

This paper considers a natural fault-tolerant shortest paths problem: for some constant integer , given a directed weighted graph with no negative cycles and two fixed vertices…

cs.DS2022

Listing, Verifying and Counting Lowest Common Ancestors in DAGs: Algorithms and Fine-Grained Lower Bounds

Surya Mathialagan, Virginia Vassilevska Williams, Yinzhan Xu

The AP-LCA problem asks, given an -node directed acyclic graph (DAG), to compute for every pair of vertices and in the DAG a lowest common ancestor (LCA) of and …

cs.CC2022

Hardness for Triangle Problems under Even More Believable Hypotheses: Reductions from Real APSP, Real 3SUM, and OV

Timothy M. Chan, Virginia Vassilevska Williams, Yinzhan Xu

The SUM hypothesis, the APSP hypothesis and SETH are the three main hypotheses in fine-grained complexity. So far, within the area, the first two hypotheses have mainly been abo…

cs.DS2022★ 2 cited

All-Pairs Shortest Path Distances with Differential Privacy: Improved Algorithms for Bounded and Unbounded Weights

Justin Y. Chen, Shyam Narayanan, Yinzhan Xu

We revisit the problem of privately releasing the all-pairs shortest path distances of a weighted undirected graph up to low additive error, which was first studied by Sealfon [Sea…

cs.CC2022

Tight Dynamic Problem Lower Bounds from Generalized BMM and OMv

Ce Jin, Yinzhan Xu

The main theme of this paper is using -dimensional generalizations of the combinatorial Boolean Matrix Multiplication (BMM) hypothesis and the closely-related Online Matrix Vect…

cs.DS2021

Faster Monotone Min-Plus Product, Range Mode, and Single Source Replacement Paths

Yuzhou Gu, Adam Polak, Virginia Vassilevska Williams +1

One of the most basic graph problems, All-Pairs Shortest Paths (APSP) is known to be solvable in time, and it is widely open whether it has an time algori…

cs.DS2021

Fine-Grained Complexity and Algorithms for the Schulze Voting Method

Krzysztof Sornat, Virginia Vassilevska Williams, Yinzhan Xu

We study computational aspects of a well-known single-winner voting rule called the Schulze method [Schulze, 2003] which is used broadly in practice. In this method the voters give…

cs.DS2021

Algorithms, Reductions and Equivalences for Small Weight Variants of All-Pairs Shortest Paths

Timothy M. Chan, Virginia Vassilevska Williams, Yinzhan Xu

APSP with small integer weights in undirected graphs [Seidel'95, Galil and Margalit'97] has an time algorithm, where is the matrix multiplication exponen…

cs.CC2020

Monochromatic Triangles, Triangle Listing and APSP

Virginia Vassilevska Williams, Yinzhan Xu

One of the main hypotheses in fine-grained complexity is that All-Pairs Shortest Paths (APSP) for -node graphs requires time. Another famous hypothesis is that the…

cs.DS2020★ 1 cited

Faster Dynamic Range Mode

Bryce Sandlund, Yinzhan Xu

In the dynamic range mode problem, we are given a sequence of length bounded by and asked to support element insertion, deletion, and queries for the most frequent element…