VLDB 2026 Research / reviewers in the wild / expert
Kevin G. Milans
dblp:49/10354
· DBLP profile ↗
3ranked-venue papers
2as first author
1since 2021 · last 2021
0000-0002-9680-8949ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 3 · 2 first-author · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Sublinear Longest Path TransversalsabstractWe show that connected graphs admit sublinear longest path transversals. This improves an earlier result of Rautenbach and Sereni and is related to the fifty-year-old question of whether connected graphs admit longest path transversals of constant size. The same technique allows us to show that 2-connected graphs admit sublinear longest cycle transversals. James A. Long Jr., Kevin G. Milans, Andrea Munaro |
SIAM J. Discret. Math. | 2 |
| 2020 | A Dichotomy Theorem for First-Fit Chain PartitionsabstractFirst-Fit is a greedy algorithm for partitioning the elements of a poset into chains. Let $\mathrm{FF}(w,Q)$ be the maximum number of chains that First-Fit uses on a $Q$-free poset of width $w$. A result due to Bosek, Krawczyk, and Matecki states that $\mathrm{FF}(w,Q)$ is finite when $Q$ has width at most $2$. We describe a family of posets $\mathcal{Q}$ and show that the following dichotomy holds: if $Q\in\mathcal{Q}$, then $\mathrm{FF}(w,Q) \le 2^{c(\log w)^2}$ for some constant $c$ depending only on $Q$, and if $Q\not\in\mathcal{Q}$, then $\mathrm{FF}(w,Q) \ge 2^w - 1$. Kevin G. Milans, Michael C. Wigal |
SIAM J. Discret. Math. | 1 |
| 2006 | The Complexity of Graph PebblingabstractIn a graph G whose vertices contain pebbles, a pebbling move $uv$ removes two pebbles from u and adds one pebble to a neighbor v of u. The optimal pebbling number ${\widehat{\pi}}(G)$ is the minimum k such that there exists a distribution of k pebbles to G so that for any target vertex r in G, there is a sequence of pebbling moves which places a pebble on r. The pebbling number $\pi(G)$ is the minimum k such that for all distributions of k pebbles to G and for any target vertex r, there is a sequence of pebbling moves which places a pebble on r. We explore the computational complexity of computing ${\widehat{\pi}}(G)$ and $\pi(G)$. In particular, we show that deciding whether ${\widehat{\pi}}(G)\leq k$ is NP‐complete. Furthermore, we prove that deciding whether $\pi(G)\leq k$ is ${\Pi_2^{\mathrm{P}}}$‐complete and therefore both NP‐hard and coNP‐hard. Additionally, we provide a characterization of when an unordered set of pebbling moves can be ordered to form a valid sequence of pebbling moves. Kevin G. Milans, Bryan Clark |
SIAM J. Discret. Math. | 1 |