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Tianwei Zhang 0006

dblp:77/7902-6 · DBLP profile ↗
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4ranked-venue papers
3as first author
4since 2021 · last 2025
—ORCID · none

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

Artificial intelligence and machine learning · 4 · 3 first-author · 4 since 2021Software engineering, systems software and programming languages · 2 · 2 first-author · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021Theory of computation · 1 · 1 first-author · 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.

Artificial intelligence
1 paper
Probabilistic and Bayesian machine learning · 100%
Theoretical computer science
1 paper
Automated reasoning and model checking · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Probabilistic and Bayesian machine learning
model counting
0.812024
Compilation and Fast Model Counting beyond CNF · IJCAI 2024
Automated reasoning and model checking
knowledge compilation
0.812024
Compilation and Fast Model Counting beyond CNF · IJCAI 2024
YearPublicationVenuePosition
2025 The 3-Decomposition Conjecture: A SAT-Based Approach with Specialized Propagators
Tianwei Zhang 0006, Stefan Szeider
CP1
2024 Compilation and Fast Model Counting beyond CNF
Alexis de Colnet, Stefan Szeider, Tianwei Zhang 0006
IJCAI3
2024 Small Unsatisfiable k-CNFs with Bounded Literal Occurrence
abstract
We obtain the smallest unsatisfiable formulas in subclasses of $k$-CNF (exactly $k$ distinct literals per clause) with bounded variable or literal occurrences. Smaller unsatisfiable formulas of this type translate into stronger inapproximability results for MaxSAT in the considered formula class. Our results cover subclasses of 3-CNF and 4-CNF; in all subclasses of 3-CNF we considered we were able to determine the smallest size of an unsatisfiable formula; in the case of 4-CNF with at most 5 occurrences per variable we decreased the size of the smallest known unsatisfiable formula. Our methods combine theoretical arguments and symmetry-breaking exhaustive search based on SAT Modulo Symmetries (SMS), a recent framework for isomorph-free SAT-based graph generation. To this end, and as a standalone result of independent interest, we show how to encode formulas as graphs efficiently for SMS.
Tianwei Zhang 0006, Tomás Peitl, Stefan Szeider
SAT1
2023 Searching for Smallest Universal Graphs and Tournaments with SAT
Tianwei Zhang 0006, Stefan Szeider
CP1