VLDB 2026 Research / reviewers in the wild / expert
Abhiruk Lahiri
dblp:163/1847
· DBLP profile ↗
15ranked-venue papers
1as first author
12since 2021 · last 2026
0009-0008-7556-3445ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 11 · 9 since 2021Artificial intelligence and machine learning · 3 · 1 first-author · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | On Small Pair Decompositions for Point Sets
Kevin Buchin, Jacobus Conradi, Sariel Har-Peled, Antonia Kalb, Abhiruk Lahiri, Lukas Plätz, Carolin Rehs, Sampson Wong |
ESA | 5 |
| 2025 | Eliminating Majority Illusion
Foivos Fioravantes, Abhiruk Lahiri, Antonio Lauerbach, Lluís Sabater, Marie Diana Sieper, Samuel Wolf |
AAMAS | 2 |
| 2024 | Parameterized Shortest Path Reconfiguration
Nicolas Bousquet 0001, Kshitij Gajjar, Abhiruk Lahiri, Amer E. Mouawad |
IPEC | 3 |
| 2024 | Reconfiguring Shortest Paths in GraphsabstractAbstract Reconfiguring two shortest paths in a graph means modifying one shortest path to the other by changing one vertex at a time so that all the intermediate paths are also shortest paths. This problem has several natural applications, namely: (a) repaving road networks, (b) rerouting data packets in a synchronous multiprocessing setting, (c) the shipping container stowage problem, and (d) the train marshalling problem. When modelled as graph problems, (a) is the most general case while (b), (c), (d) are restrictions to different graph classes. We show that (a) does not admit polynomial-time algorithms (assuming $${{\,\mathrm{\texttt {P}}\,}}\ne {{\,\mathrm{\texttt {NP}}\,}}$$ P ≠ NP ), even for relaxed variants of the problem (assuming $${{\,\mathrm{\texttt {P}}\,}}\ne {{\,\mathrm{\texttt {PSPACE}}\,}}$$ P ≠ PSPACE ). For (b), (c), (d), we present polynomial-time algorithms to solve the respective problems. We also generalize the problem to when at most k (for a fixed integer $$k\ge 2$$ k ≥ 2 ) contiguous vertices on a shortest path can be changed at a time. Kshitij Gajjar, Agastya Vibhuti Jha, Manish Kumar 0011, Abhiruk Lahiri |
Algorithmica | 4 |
| 2024 | On (n,m)-chromatic numbers of graphs with bounded sparsity parametersabstractAn ( n , m ) -graph is characterized by n types of arcs and m types of edges. A homomorphism of an ( n , m ) -graph G to an ( n , m ) -graph H , is a vertex mapping that preserves adjacency, direction, and type. The ( n , m ) -chromatic number of G , denoted by χ n , m ( G ) , is the minimum value of | V ( H ) | such that there exists a homomorphism of G to H . The theory of homomorphisms of ( n , m ) -graphs have connections with graph theoretic concepts like harmonious coloring, nowhere-zero flows; with other mathematical topics like binary predicate logic , Coxeter groups; and has application to the Query Evaluation Problem (QEP) in graph database. In this article, we show that the arboricity of G is bounded by a function of χ n , m ( G ) but not the other way around. Additionally, we show that the acyclic chromatic number of G is bounded by a function of χ n , m ( G ) , a result already known in the reverse direction. Furthermore, we prove that the ( n , m ) -chromatic number for the family of graphs with maximum average degree less than 2 + 2 4 ( 2 n + m ) − 1 , including the subfamily of planar graphs with girth at least 8 ( 2 n + m ) , equals 2 ( 2 n + m ) + 1 . This improves upon previous findings, which proved the ( n , m ) -chromatic number for planar graphs with girth at least 10 ( 2 n + m ) − 4 is 2 ( 2 n + m ) + 1 . It is established that the ( n , m ) -chromatic number for the family T 2 of partial 2-trees is both bounded below and above by quadratic functions of ( 2 n + m ) , with the lower bound being tight when ( 2 n + m ) = 2 . We prove 14 ≤ χ ( 0 , 3 ) ( T 2 ) ≤ 15 and 14 ≤ χ ( 1 , 1 ) ( T 2 ) ≤ 21 which improves both known lower bounds and the former upper bound. Moreover, for the latter upper bound, to the best of our knowledge we provide the first theoretical proof. Sandip Das 0001, Abhiruk Lahiri, Soumen Nandi, Sagnik Sen 0001, S. Taruni |
Discret. Appl. Math. | 2 |
| 2023 | Approximating Fair k-Min-Sum-Radii in Euclidean Space
Lukas Drexler, Annika Hennes, Abhiruk Lahiri, Melanie Schmidt 0001, Julian Wargalla |
WAOA | 3 |
| 2023 | Maximum Edge Colouring Problem On Graphs That Exclude a Fixed Minor
Zdenek Dvorák 0001, Abhiruk Lahiri |
WG | 2 |
| 2023 | Geometric dominating-set and set-cover via local-search
Minati De, Abhiruk Lahiri |
Comput. Geom. | 2 |
| 2022 | Reconfiguring Shortest Paths in GraphsabstractReconfiguring two shortest paths in a graph means modifying one shortest path to the other by changing one vertex at a time, so that all the intermediate paths are also shortest paths. This problem has several natural applications, namely: (a) revamping road networks, (b) rerouting data packets in a synchronous multiprocessing setting, (c) the shipping container stowage problem, and (d) the train marshalling problem. When modelled as graph problems, (a) is the most general case while (b), (c) and (d) are restrictions to different graph classes. We show that (a) is intractable, even for relaxed variants of the problem. For (b), (c) and (d), we present efficient algorithms to solve the respective problems. We also generalise the problem to when at most k (for some k >= 2) contiguous vertices on a shortest path can be changed at a time. Kshitij Gajjar, Agastya Vibhuti Jha, Manish Kumar 0011, Abhiruk Lahiri |
AAAI | 4 |
| 2022 | On Comparable Box DimensionabstractTwo boxes in $\mathbb{R}^d$ are comparable if one of them is a subset of a translation of the other one. The comparable box dimension of a graph $G$ is the minimum integer $d$ such that $G$ can be represented as a touching graph of comparable axis-aligned boxes in $\mathbb{R}^d$. We show that proper minor-closed classes have bounded comparable box dimensions and explore further properties of this notion. Zdenek Dvorák 0001, Daniel Gonçalves 0001, Abhiruk Lahiri, Jane Tan, Torsten Ueckerdt |
SoCG | 3 |
| 2022 | Improved approximation for maximum edge colouring problem
L. Sunil Chandran, Abhiruk Lahiri |
Discret. Appl. Math. | 2 |
| 2021 | Approximation Schemes for Bounded Distance Problems on Fractionally Treewidth-Fragile GraphsabstractWe give polynomial-time approximation schemes for monotone maximization problems expressible in terms of distances (up to a fixed upper bound) and efficiently solvable in graphs of bounded treewidth. These schemes apply in all fractionally treewidth-fragile graph classes, a property that is true for many natural graph classes with sublinear separators. We also provide quasipolynomial-time approximation schemes for these problems in all classes with sublinear separators. Zdenek Dvorák 0001, Abhiruk Lahiri |
ESA | 2 |
| 2020 | Hardness and approximation for L-EPG and B1-EPG graphs
Dror Epstein, Martin Charles Golumbic, Abhiruk Lahiri, Gila Morgenstern |
Discret. Appl. Math. | 3 |
| 2016 | VPG and EPG bend-numbers of Halin graphs
Mathew C. Francis, Abhiruk Lahiri |
Discret. Appl. Math. | 2 |
| 2015 | Maximum Independent Set on B_1 B 1 -VPG Graphs
Abhiruk Lahiri, Joydeep Mukherjee, C. R. Subramanian 0001 |
COCOA | 1 |