Demo Data from SIGIR 2026 / reviewers in the wild / expert
Vsevolod Vaskin
dblp:358/6166
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Electronic design automation · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Electronic design automation › logic synthesis
boolean function realization |
0.9 | 1 | 2025 | Cirbo: A New Tool for Boolean Circuit Analysis and Synthesis · AAAI 2025 |
Electronic design automation › logic synthesis › circuit optimization
circuit minimization |
0.9 | 1 | 2025 | Cirbo: A New Tool for Boolean Circuit Analysis and Synthesis · AAAI 2025 |
Electronic design automation
hardware verification and test |
0.9 | 1 | 2025 | Cirbo: A New Tool for Boolean Circuit Analysis and Synthesis · AAAI 2025 |
Electronic design automation
logic synthesis |
0.9 | 1 | 2025 | Cirbo: A New Tool for Boolean Circuit Analysis and Synthesis · AAAI 2025 |
Methods — techniques the papers use, named apart from their topics
circuit optimization algorithms · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Cirbo: A New Tool for Boolean Circuit Analysis and SynthesisabstractWe present an open-source tool for manipulating Boolean circuits. It implements efficient algorithms, both existing and novel, for a rich variety of frequently used circuit tasks such as satisfiability, synthesis, and minimization. We tested the tool on a wide range of practically relevant circuits (computing, in particular, symmetric and arithmetic functions) that have been optimized intensively by the community for the last three years. The tool helped us to win the IWLS 2024 Programming Contest. In 2023, it was Google DeepMind who took the first place in the competition. We were able to reduce the size of the best circuits from 2023 by 12% on average, whereas for some individual circuits, our size reduction was as large as 83%. Daniil Averkov, Tatiana Belova, Gregory Emdin, Mikhail Goncharov, Viktoriia Krivogornitsyna, Alexander S. Kulikov, Fedor Kurmazov, Daniil Levtsov, Georgie Levtsov, Vsevolod Vaskin, Aleksey Vorobiev |
AAAI | 10 |