no code implementations • 17 Aug 2023 • Yuanhong Wang, Juhua Pu, Yuyi Wang, Ondřej Kuželka
Specifically, we prove the domain-liftability under sampling for the two-variables fragment of first-order logic with counting quantifiers in this paper, by devising an efficient sampling algorithm for this fragment that runs in time polynomial in the domain size.
1 code implementation • 13 Mar 2023 • Hongxiang Huang, Daihui Yang, Gang Dai, Zhen Han, Yuyi Wang, Kin-Man Lam, Fan Yang, Shuangping Huang, Yongge Liu, Mengchao He
We evaluate our approach on the photographic ancient character datasets, e. g., OBC306 and CSDD.
1 code implementation • 6 Feb 2023 • Yuanhong Wang, Juhua Pu, Yuyi Wang, Ondřej Kuželka
In this paper, we study the sampling problem for first-order logic proposed recently by Wang et al. -- how to efficiently sample a model of a given first-order sentence on a finite domain?
1 code implementation • 28 Oct 2022 • Zhounan Chen, Daihui Yang, Jinglin Liang, Xinwu Liu, Yuyi Wang, Zhenghua Peng, Shuangping Huang
Many important tasks such as forensic signature verification, calligraphy synthesis, etc, rely on handwriting trajectory recovery of which, however, even an appropriate evaluation metric is still missing.
no code implementations • NAACL (DLG4NLP) 2022 • Jin Guo, Zhen Han, Zhou Su, Jiliang Li, Volker Tresp, Yuyi Wang
Hence, we propose Continuous Temporal Graph Networks (CTGNs) to capture the continuous dynamics of temporal graph data.
1 code implementation • 11 Oct 2020 • Feifei Xu, Xinpeng Wang, Yunpu Ma, Volker Tresp, Yuyi Wang, Shanlin Zhou, Haizhou Du
In our work, we aim to design an emotional line for each character that considers multiple emotions common in psychological theories, with the goal of generating stories with richer emotional changes in the characters.
1 code implementation • AKBC 2020 • Zhen Han, Yunpu Ma, Yuyi Wang, Stephan Günnemann, Volker Tresp
The Hawkes process has become a standard method for modeling self-exciting event sequences with different event types.
no code implementations • 15 Jan 2020 • Ondrej Kuzelka, Yuyi Wang
We study computational aspects of relational marginal polytopes which are statistical relational learning counterparts of marginal polytopes, well-known from probabilistic graphical models.
no code implementations • 28 Nov 2019 • Zhengqiu He, Wenliang Chen, Yuyi Wang, Wei zhang, Guanchun Wang, Min Zhang
We present a novel approach to improve the performance of distant supervision relation extraction with Positive and Unlabeled (PU) Learning.
no code implementations • 25 Sep 2019 • Ondrej Kuzelka, Yuyi Wang
We study theoretical properties of embedding methods for knowledge graph completion under the missing completely at random assumption.
no code implementations • NeurIPS 2019 • Rui Ray Zhang, Xingwu Liu, Yuyi Wang, Li-Wei Wang
We demonstrate that for many types of dependent data, the forest complexity is small and thus implies good concentration.
no code implementations • 19 Feb 2019 • Yunpu Ma, Volker Tresp, Liming Zhao, Yuyi Wang
In this work, we propose the first quantum Ans\"atze for the statistical relational learning on knowledge graphs using parametric quantum circuits.
no code implementations • 20 Sep 2018 • Gino Brunner, Andres Konrad, Yuyi Wang, Roger Wattenhofer
The interpolations smoothly change pitches, dynamics and instrumentation to create a harmonic bridge between two music pieces.
5 code implementations • 20 Sep 2018 • Gino Brunner, Yuyi Wang, Roger Wattenhofer, Sumu Zhao
In this paper we apply such a model to symbolic music and show the feasibility of our approach for music genre transfer.
no code implementations • 3 Jul 2018 • Haozhen Situ, Zhimin He, Yuyi Wang, Lvzhou Li, Shenggen Zheng
Quantum machine learning has recently attracted much attention from the community of quantum computing.
Quantum Physics
no code implementations • 17 Apr 2018 • Ondrej Kuzelka, Yuyi Wang, Steven Schockaert
In many applications of relational learning, the available data can be seen as a sample from a larger relational structure (e. g. we may be given a small fragment from some social network).
no code implementations • 15 Mar 2018 • Ondrej Kuzelka, Yuyi Wang, Jesse Davis, Steven Schockaert
We consider the problem of predicting plausible missing facts in relational data, given a set of imperfect logical rules.
no code implementations • 18 Jan 2018 • Gino Brunner, Yuyi Wang, Roger Wattenhofer, Michael Weigelt
We train multi-task autoencoders on linguistic tasks and analyze the learned hidden sentence representations.
1 code implementation • 21 Nov 2017 • Gino Brunner, Yuyi Wang, Roger Wattenhofer, Jonas Wiesendanger
First, a chord LSTM predicts a chord progression based on a chord embedding.
1 code implementation • 20 Nov 2017 • Gino Brunner, Oliver Richter, Yuyi Wang, Roger Wattenhofer
Localization and navigation is also an important problem in domains such as robotics, and has recently become a focus of the deep reinforcement learning community.
no code implementations • 12 Nov 2017 • Yuanhong Wang, Yuyi Wang, Xingwu Liu, Juhua Pu
We consider general weighted ERM and show new universal risk bounds for this problem.
no code implementations • 18 Sep 2017 • Ondrej Kuzelka, Yuyi Wang, Jesse Davis, Steven Schockaert
In the propositional setting, the marginal problem is to find a (maximum-entropy) distribution that has some given marginals.
no code implementations • 11 May 2014 • Yuyi Wang, Jan Ramon, Zheng-Chu Guo
Many machine learning algorithms are based on the assumption that training examples are drawn independently.
no code implementations • 3 Jun 2013 • Yuyi Wang, Jan Ramon, Zheng-Chu Guo
Many machine learning algorithms are based on the assumption that training examples are drawn independently.