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See Woo Lee

dblp:308/6677 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

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

Artificial 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
1 paper
Mathematical optimization · 67% Graph algorithms and graph theory · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Mathematical optimization
combinatorial optimization
0.612022
Computing Diverse Shortest Paths Efficiently: A Theoretical and Experimental Study · AAAI 2022
Mathematical optimization › combinatorial optimization
diverse solutions
0.612022
Computing Diverse Shortest Paths Efficiently: A Theoretical and Experimental Study · AAAI 2022
Graph algorithms and graph theory
shortest path
0.612022
Computing Diverse Shortest Paths Efficiently: A Theoretical and Experimental Study · AAAI 2022

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

polynomial-time algorithm · 0.6hamming distance · 0.6
YearPublicationVenuePosition
2022 Computing Diverse Shortest Paths Efficiently: A Theoretical and Experimental Study
abstract
Finding diverse solutions in combinatorial problems recently has received considerable attention (Baste et al. 2020; Fomin et al. 2020; Hanaka et al. 2021). In this paper we study the following type of problems: given an integer k, the problem asks for k solutions such that the sum of pairwise (weighted) Hamming distances between these solutions is maximized. Such solutions are called diverse solutions. We present a polynomial-time algorithm for finding diverse shortest st-paths in weighted directed graphs. Moreover, we study the diverse version of other classical combinatorial problems such as diverse weighted matroid bases, diverse weighted arborescences, and diverse bipartite matchings. We show that these problems can be solved in polynomial time as well. To evaluate the practical performance of our algorithm for finding diverse shortest st-paths, we conduct a computational experiment with synthetic and real-world instances. The experiment shows that our algorithm successfully computes diverse solutions within reasonable computational time.
Tesshu Hanaka, Yasuaki Kobayashi, Kazuhiro Kurita, See Woo Lee, Yota Otachi
AAAI4