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Hirotaka Yoneda

dblp:377/7378 · DBLP profile ↗
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3ranked-venue papers
1as first author
3since 2021 · last 2026
0009-0001-6318-0024ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 2 · 1 first-author · 2 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
2 papers
Algorithmic game theory and mechanism design · 47% Computational complexity · 18% Graph algorithms and graph theory · 14%

Topics — the 8 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Algorithmic game theory and mechanism design › fair division
envy-freeness
0.912025
Dividing Conflicting Items Fairly · IJCAI 2025
Algorithmic game theory and mechanism design
fair division
0.912025
Dividing Conflicting Items Fairly · IJCAI 2025
Algorithmic game theory and mechanism design › fair division
indivisible goods allocation
0.912025
Dividing Conflicting Items Fairly · IJCAI 2025
Computational complexity › hardness of approximation
approximate graph coloring
0.812024
Better Coloring of 3-Colorable Graphs · STOC 2024
Approximation and online algorithms
approximation algorithms
0.812024
Better Coloring of 3-Colorable Graphs · STOC 2024
Graph algorithms and graph theory
graph coloring
0.812024
Better Coloring of 3-Colorable Graphs · STOC 2024
Distributed computing theory
distributed graph coloring
0.212024
Better Coloring of 3-Colorable Graphs · STOC 2024
Mathematical optimization
semidefinite programming
0.212024
Better Coloring of 3-Colorable Graphs · STOC 2024

Methods — techniques the papers use, named apart from their topics

pseudo-polynomial time algorithm · 0.9polynomial-time algorithm · 0.9semidefinite programming · 0.8progress notion · 0.8combinatorial algorithms · 0.8
YearPublicationVenuePosition
2026 Online Coloring for Graphs of Large Odd Girth
abstract
We study the problem of online coloring for graphs with large odd girth. The best previously known algorithm uses O(n^{1/2}) colors, which was discovered by Kierstead in 1998. This algorithm works when the odd girth is 7 or more. In this paper, we provide the following: for every ε > 0, there exists a constant g' ∈ {3, 5, 7, …} such that graphs with odd girth at least g' can be deterministically colored online using O(n^ε) colors.
Hirotaka Yoneda, Masataka Yoneda
ESA1
2025 Dividing Conflicting Items Fairly
abstract
We study the allocation of indivisible goods under conflicting constraints, represented by a graph. In this framework, vertices correspond to goods and edges correspond to conflicts between a pair of goods. Each agent is allocated an independent set in the graph. In a recent work of Kumar et al. (AAMAS, 2024), it was shown that a maximal EF1 allocation exists for interval graphs and two agents with monotone valuations. We significantly extend this result by establishing that a maximal EF1 allocation exists for any graph when the two agents have monotone valuations. To compute such an allocation, we present a polynomial-time algorithm for additive valuations, as well as a pseudo-polynomial time algorithm for monotone valuations. Moreover, we complement our findings by providing a counterexample demonstrating a maximal EF1 allocation may not exist for three agents with monotone valuations; further, we establish NP-hardness of determining the existence of such allocations for every fixed number n >= 3 of agents. All of our results for goods also apply to the allocation of chores.
Ayumi Igarashi 0001, Pasin Manurangsi, Hirotaka Yoneda
IJCAI3
2024 Better Coloring of 3-Colorable Graphs
abstract
We consider the problem of coloring a 3-colorable graph in polynomial time using as few colors as possible. This is one of the most challenging problems in graph algorithms. In this paper using Blum’s notion of “progress”, we develop a new combinatorial algorithm for the following: Given any 3-colorable graph with minimum degree >√n, we can, in polynomial time, make progress towards a k-coloring for some k=√n/· no(1). We balance our main result with the best-known semi-definite(SDP) approach which we use for degrees below n0.605073. As a result, we show that (n0.19747) colors suffice for coloring 3-colorable graphs. This improves on the previous best bound of (n0.19996) by Kawarabayashi and Thorup from 2017.
Ken-ichi Kawarabayashi, Mikkel Thorup, Hirotaka Yoneda
STOC3