VLDB 2026 Research / reviewers in the wild / expert
Chase Norman
dblp:303/3066
· DBLP profile ↗
4ranked-venue papers
2as first author
4since 2021 · last 2026
0000-0001-8954-3770ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 since 2021Theory of computation · 2 · 1 first-author · 2 since 2021Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Stable Voting and the Splitting of CyclesabstractAlgorithms for resolving majority cycles in preference aggregation have been studied extensively in computational social choice. Several sophisticated cycle-resolving methods, including Tideman's Ranked Pairs, Schulze's Beat Path, and Heitzig's River, are refinements of the Split Cycle (SC) method that resolves majority cycles by discarding the weakest majority victories in each cycle. Recently, Holliday and Pacuit proposed a new refinement of Split Cycle, dubbed Stable Voting, and a simplification thereof, called Simple Stable Voting (SSV). They conjectured that SSV is a refinement of SC whenever no two majority victories are of the same size. In this paper, we prove the conjecture up to 6 alternatives and refute it for more than 6 alternatives. While our proof of the conjecture for up to 5 alternatives uses traditional mathematical reasoning, our 6-alternative proof and 7-alternative counterexample were obtained with the use of SAT solving. The SAT encoding underlying this proof and counterexample is applicable far beyond SC and SSV: it can be used to test properties of any voting method whose choice of winners depends only on the ordering of margins of victory by size. Wesley H. Holliday, Milan Mossé, Chase Norman, Eric Pacuit, Cynthia Wang |
AAAI | 3 |
| 2025 | Canonical for Automated Theorem Proving in LeanabstractArtefacts for this paper Chase Norman, Jeremy Avigad |
ITP | 1 |
| 2023 | PipeSynth: Automated Synthesis of Microarchitectural Axioms for Memory ConsistencyabstractFormal verification can help ensure the correctness of today’s processors. However, such formal verification requires formal specifications of the processors being verified. Today, these specifications are mostly written by hand, which is tedious and error-prone. Furthermore, architects and hardware engineers generally do not have formal methods experience, making it even harder for them to write formal specifications. Existing methods for the automated synthesis of formal microarchitectural specifications utilise RTL implementations of processors for their synthesis, preventing their usage until RTL implementation of the processor has completed. This hampers the effectiveness of formal verification for processors, as catching design bugs pre-RTL can reduce verification overhead and overall development time. Chase Norman, Adwait Godbole, Yatin A. Manerkar |
ASPLOS (3) | 1 |
| 2023 | Program Synthesis in SaturationabstractAbstract We present an automated reasoning framework for synthesizing recursion-free programs using saturation-based theorem proving. Given a functional specification encoded as a first-order logical formula, we use a first-order theorem prover to both establish validity of this formula and discover program fragments satisfying the specification. As a result, when deriving a proof of program correctness, we also synthesize a program that is correct with respect to the given specification. We describe properties of the calculus that a saturation-based prover capable of synthesis should employ, and extend the superposition calculus in a corresponding way. We implemented our work in the first-order prover Vampire, extending the successful applicability of first-order proving to program synthesis. Petra Hozzová, Laura Kovács, Chase Norman, Andrei Voronkov |
CADE | 3 |