Search Results for author: Yuyi Wang

Found 20 papers, 5 papers with code

Continuous Temporal Graph Networks for Event-Based Graph Data

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.

Controllable Multi-Character Psychology-Oriented Story Generation

1 code implementation11 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.

Story Generation

Graph Hawkes Neural Network for Forecasting on Temporal Knowledge Graphs

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.

Knowledge Graphs

Domain-Liftability of Relational Marginal Polytopes

no code implementations15 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.

Relational Reasoning

Improving Neural Relation Extraction with Positive and Unlabeled Learning

no code implementations28 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.

reinforcement-learning Relation Extraction

Knowledge Graph Embedding: A Probabilistic Perspective and Generalization Bounds

no code implementations25 Sep 2019 Ondrej Kuzelka, Yuyi Wang

We study theoretical properties of embedding methods for knowledge graph completion under the missing completely at random assumption.

Generalization Bounds Knowledge Graph Completion +2

McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds

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.

Learning Theory

Variational Quantum Circuit Model for Knowledge Graphs Embedding

no code implementations19 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.

Knowledge Graph Embedding Knowledge Graphs +1

Symbolic Music Genre Transfer with CycleGAN

4 code implementations20 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.

Music Genre Transfer Style Transfer

MIDI-VAE: Modeling Dynamics and Instrumentation of Music with Applications to Style Transfer

no code implementations20 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.

Style Transfer

Quantum generative adversarial network for generating discrete distribution

no code implementations3 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

VC-Dimension Based Generalization Bounds for Relational Learning

no code implementations17 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).

Generalization Bounds Relational Reasoning

PAC-Reasoning in Relational Domains

no code implementations15 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.

Natural Language Multitasking: Analyzing and Improving Syntactic Saliency of Hidden Representations

no code implementations18 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.


Teaching a Machine to Read Maps with Deep Reinforcement Learning

1 code implementation20 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.

Navigate reinforcement-learning

On the ERM Principle with Networked Data

no code implementations12 Nov 2017 Yuanhong Wang, Yuyi Wang, Xingwu Liu, Juhua Pu

We consider general weighted ERM and show new universal risk bounds for this problem.

Learning-To-Rank Link Prediction

Relational Marginal Problems: Theory and Estimation

no code implementations18 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.

Learning from networked examples

no code implementations11 May 2014 Yuyi Wang, Jan Ramon, Zheng-Chu Guo

Many machine learning algorithms are based on the assumption that training examples are drawn independently.

Learning from networked examples in a k-partite graph

no code implementations3 Jun 2013 Yuyi Wang, Jan Ramon, Zheng-Chu Guo

Many machine learning algorithms are based on the assumption that training examples are drawn independently.

BIG-bench Machine Learning

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