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Yijia Chen [9]Yijiang Chen [1]
  1.  43
    Strong isomorphism reductions in complexity theory.Sam Buss, Yijia Chen, Jörg Flum, Sy-David Friedman & Moritz Müller - 2011 - Journal of Symbolic Logic 76 (4):1381-1402.
    We give the first systematic study of strong isomorphism reductions, a notion of reduction more appropriate than polynomial time reduction when, for example, comparing the computational complexity of the isomorphim problem for different classes of structures. We show that the partial ordering of its degrees is quite rich. We analyze its relationship to a further type of reduction between classes of structures based on purely comparing for every n the number of nonisomorphic structures of cardinality at most n in both (...)
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  2.  7
    Forbidden Induced Subgraphs and the Łoś–Tarski Theorem.Yijia Chen & Jörg Flum - forthcoming - Journal of Symbolic Logic:1-33.
    Let $\mathscr {C}$ be a class of finite and infinite graphs that is closed under induced subgraphs. The well-known Łoś–Tarski Theorem from classical model theory implies that $\mathscr {C}$ is definable in first-order logic by a sentence $\varphi $ if and only if $\mathscr {C}$ has a finite set of forbidden induced finite subgraphs. This result provides a powerful tool to show nontrivial characterizations of graphs of small vertex cover, of bounded tree-depth, of bounded shrub-depth, etc. in terms of forbidden (...)
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  3.  16
    On optimal inverters.Yijia Chen & Jörg Flum - 2014 - Bulletin of Symbolic Logic 20 (1):1-23.
    Leonid Levin showed that every algorithm computing a function has an optimal inverter. Recently, we applied his result in various contexts: existence of optimal acceptors, existence of hard sequences for algorithms and proof systems, proofs of Gödel’s incompleteness theorems, analysis of the complexity of the clique problem assuming the nonuniform Exponential Time Hypothesis. We present all these applications here. Even though a simple diagonalization yields Levin’s result, we believe that it is worthwhile to be aware of the explicit result. The (...)
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  4.  49
    Consistency, optimality, and incompleteness.Yijia Chen, Jörg Flum & Moritz Müller - 2013 - Annals of Pure and Applied Logic 164 (12):1224-1235.
    Assume that the problem P0 is not solvable in polynomial time. Let T be a first-order theory containing a sufficiently rich part of true arithmetic. We characterize T∪{ConT} as the minimal extension of T proving for some algorithm that it decides P0 as fast as any algorithm B with the property that T proves that B decides P0. Here, ConT claims the consistency of T. As a byproduct, we obtain a version of Gödelʼs Second Incompleteness Theorem. Moreover, we characterize problems (...)
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  5.  14
    Hard instances of algorithms and proof systems.Yijia Chen, Jörg Flum & Moritz Müller - 2012 - In S. Barry Cooper (ed.), How the World Computes. pp. 118--128.
  6.  40
    On the complexity of Gödel's proof predicate.Yijia Chen & Jörg Flum - 2010 - Journal of Symbolic Logic 75 (1):239-254.
    The undecidability of first-order logic implies that there is no computable bound on the length of shortest proofs of valid sentences of first-order logic. Some valid sentences can only have quite long proofs. How hard is it to prove such "hard" valid sentences? The polynomial time tractability of this problem would imply the fixed-parameter tractability of the parameterized problem that, given a natural number n in unary as input and a first-order sentence φ as parameter, asks whether φ has a (...)
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  7.  19
    The parameterized complexity of maximality and minimality problems.Yijia Chen & Jörg Flum - 2008 - Annals of Pure and Applied Logic 151 (1):22-61.
    Many parameterized problems ask, given an instance and a natural number k as parameter, whether there is a solution of size k. We analyze the relationship between the complexity of such a problem and the corresponding maximality problem asking for a solution of size k maximal with respect to set inclusion. As our results show, many maximality problems increase the parameterized complexity, while “in terms of the W-hierarchy” minimality problems do not increase the complexity. We also address the corresponding construction, (...)
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  8.  14
    The Market Response to Mandatory Conflict Mineral Disclosures.Fayez A. Elayan, Kareen Brown, Jennifer Li & Yijia Chen - 2019 - Journal of Business Ethics 169 (1):13-42.
    This paper examines the market response to the events leading up to the passage of Section 1502 of the Dodd-Frank Wall Street Reform and Consumer Protection Act to explore whether investors value mandatory human rights disclosures of conflict mineral usage. Using a sample of 3639 US registrants from January 1, 2008 to September 30, 2014, we document a significant negative stock market reaction to the passage of the Act. Using a sample of 1206 filers, we also find a negative market (...)
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  9.  80
    An Analysis of the W -Hierarchy.Yijia Chen, Jörg Flum & Martin Grohe - 2007 - Journal of Symbolic Logic 72 (2):513 - 534.
    We observe that the W*-hierarchy, a variant (introduced by Downey, Fellows, and Taylor [7]) of the better known W-hierarchy, coincides with the W-hierarchy, though not level wise, but just as a whole hierarchy. More precisely, we prove that W[t] ⊆ W*[t] ⊆ W[2t − 2] for each t ≥ 2. It was known before that W[1] = W*[1] and W[2] = W*[2]. Our second main result is a new logical characterization of the W*-hierarchy in terms of "Fagin-definable problems." As a (...)
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  10.  5
    Why Do We “Like” on WeChat Moments: The Effects of Personality Traits and Content Characteristics.Chun Zheng, Xingyu Song, Jieyun Li, Yijiang Chen, Tingyue Dong & Sha Yang - 2022 - Frontiers in Psychology 13.
    To probe the motivational roles of hedonic gratification and social gratification in giving “Like” feedback on social media, we developed a set of novel pictures to simulate WeChat Moments. We subsequently examined how the personality trait of extraversion and stimulus content characteristics influenced “Liking” behavior. A 2 × 3 × 2 -mixed experimental design was applied to data obtained from 56 WeChat Moments users. These participants included 28 individuals with the highest extraversion scale scores, and 28 individuals with the lowest (...)
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