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Yijia Chen

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7 papers
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7

I&C Journal 2025 Journal Article

On algorithms based on finitely many homomorphism counts

  • Yijia Chen
  • Jörg Flum
  • Mingjun Liu
  • Zhiyang Xun

It is a well-known result of Lovász that up to isomorphism a graph G is determined by the homomorphism counts hom ( F, G ), i. e. , the number of homomorphisms from F to G, where F ranges over all graphs. Thus, in principle, we can answer any query concerning G with only accessing the hom ( ⋅, G ) 's instead of G itself. In this paper, we deal with queries φ for which there is a hom algorithm, i. e. , there are finitely many graphs F 1, …, F k such that for any graph G whether it is a Yes-instance of the query is already determined by the vector hom → F 1, …, F k ( G ): = ( hom ( F 1, G ), …, hom ( F k, G ) ), where the graphs F 1, …, F k only depend on φ. We observe that planarity of graphs and 3-colorability of graphs, properties expressible in monadic second-order logic, have no hom algorithm. We provide a characterization of the prefix classes of first-order logic with the property that each query definable by a sentence of the prefix class has a hom algorithm. For adaptive query algorithms, i. e. , algorithms that again access hom → F 1, …, F k ( G ) but here F i + 1 might depend on hom ( F 1, G ), …, hom ( F i, G ), we show that three homomorphism counts hom ( ⋅, G ) are both sufficient and in general necessary to determine the isomorphism type of G.

I&C Journal 2019 Journal Article

Some lower bounds in parameterized AC0

  • Yijia Chen
  • Jörg Flum

We demonstrate some lower bounds for parameterized problems via parameterized classes corresponding to the classical AC 0. Among others, we derive such a lower bound for all fpt-approximations of the parameterized clique problem and for a parameterized halting problem, which recently turned out to link problems of computational complexity, descriptive complexity, and proof theory. To show the lower bound mentioned first we prove a strong AC 0 version of the planted clique conjecture: AC 0 -circuits asymptotically almost surely can not distinguish between a random graph and this graph with a randomly planted clique of any size ≤ n ξ (where 0 ≤ ξ < 1 ).

IJCAI Conference 2018 Conference Paper

The Complexity of Limited Belief Reasoning—The Quantifier-Free Case

  • Yijia Chen
  • Abdallah Saffidine
  • Christoph Schwering

The classical view of epistemic logic is that an agent knows all the logical consequences of their knowledge base. This assumption of logical omniscience is often unrealistic and makes reasoning computationally intractable. One approach to avoid logical omniscience is to limit reasoning to a certain belief level, which intuitively measures the reasoning "depth". This paper investigates the computational complexity of reasoning with belief levels. First we show that while reasoning remains tractable if the level is constant, the complexity jumps to PSPACE-complete -- that is, beyond classical reasoning -- when the belief level is part of the input. Then we further refine the picture using parameterized complexity theory to investigate how the belief level and the number of non-logical symbols affect the complexity.

I&C Journal 2017 Journal Article

The parameterized complexity of k-edge induced subgraphs

  • Bingkai Lin
  • Yijia Chen

We prove that finding a k-edge induced subgraph is fixed-parameter tractable, thereby answering an open problem of Leizhen Cai. Our algorithm is based on several combinatorial observations, Gauss' famous Eureka theorem, and a generalization of the well-known fpt-algorithm for the model-checking problem for first-order logic on graphs with locally bounded tree-width due to Frick and Grohe. On the other hand, we show that two natural counting versions of the problem are hard. Hence, the k-edge induced subgraph problem is one of the very few known examples in parameterized complexity that are easy for decision while hard for counting.

TCS Journal 2006 Journal Article

On miniaturized problems in parameterized complexity theory

  • Yijia Chen
  • Jörg Flum

We introduce a general notion of miniaturization of a problem that comprises the different miniaturizations of concrete problems considered so far. We develop parts of the basic theory of miniaturizations. Using the appropriate logical formalism, we show that the miniaturization of a definable problem in W [ t ] lies in W [ t ], too. In particular, the miniaturization of the dominating set problem is in W [ 2 ]. Furthermore, we investigate the relation between f ( k ) · n o ( k ) time and subexponential time algorithms for the dominating set problem and for the clique problem.

TCS Journal 2005 Journal Article

Machine-based methods in parameterized complexity theory

  • Yijia Chen
  • Jörg Flum
  • Martin Grohe

We give machine characterizations of most parameterized complexity classes, in particular, of W[P], of the classes of the W-hierarchy, and of the A-hierarchy. For example, we characterize W[P] as the class of all parameterized problems decidable by a nondeterministic fixed-parameter tractable algorithm whose number of nondeterministic steps is bounded in terms of the parameter. The machine characterizations suggest the introduction of a hierarchy W func between the W- and the A-hierarchy. We study the basic properties of this hierarchy.

v2026.09.13