Search Results for author: Yong Lai

Found 7 papers, 2 papers with code

PBCounter: Weighted Model Counting on Pseudo-Boolean Formulas

no code implementations26 Dec 2023 Yong Lai, Zhenghang Xu, Minghao Yin

The experiments on three domains of benchmarks show that PBCounter is superior to the model counters on CNF formulas.

Variants of Tagged Sentential Decision Diagrams

no code implementations16 Nov 2023 Deyuan Zhong, Mingwei Zhang, Quanlong Guan, Liangda Fang, Zhaorong Lai, Yong Lai

The standard ones minimize the size of sentential decision diagrams (SDDs) while the zero-suppressed trimming rules have the same objective as the standard ones but for zero-suppressed sentential decision diagrams (ZSDDs).

Fast Converging Anytime Model Counting

1 code implementation19 Dec 2022 Yong Lai, Kuldeep S. Meel, Roland H. C. Yap

Model counting is a fundamental problem which has been influential in many applications, from artificial intelligence to formal verification.

STS

CCDD: A Tractable Representation for Model Counting and Uniform Sampling

1 code implementation21 Feb 2022 Yong Lai, Kuldeep S. Meel, Roland H. C. Yap

Knowledge compilation concerns with the compilation of representation languages to target languages supporting a wide range of tractable operations arising from diverse areas of computer science.

Approximate Model Counting by Partial Knowledge Compilation

no code implementations18 May 2018 Yong Lai

An unbiased estimate of the model number can be computed via a randomly partial Decision-DNNF formula.

Augmenting Ordered Binary Decision Diagrams with Conjunctive Decomposition

no code implementations24 Oct 2014 Yong Lai, Dayou Liu, Minghao Yin

This paper augments OBDD with conjunctive decomposition to propose a generalization called OBDD[$\wedge$].

Ordered {AND, OR}-Decomposition and Binary-Decision Diagram

no code implementations14 Aug 2012 Yong Lai, Dayou Liu

In the context of knowledge compilation (KC), we study the effect of augmenting Ordered Binary Decision Diagrams (OBDD) with two kinds of decomposition nodes, i. e., AND-vertices and OR-vertices which denote conjunctive and disjunctive decomposition of propositional knowledge bases, respectively.

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