Zhiyuan Liu

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University of Colorado Boulder ∙ University of Technology Sydney ∙ Tsinghua University ∙ Nanyang Technological University

Associate Professor at Tsinghua University since 2017, Assistant Professor at Tsinghua University since 2016, Assistant Researcher at Tsinghua University since 2013, Post-doc at Tsinghua University from 2011-2013, Research intern at Google from 2008-2011.

Graph Neural Networks: A Review of Methods and Applications

Lots of learning tasks require dealing with graph data which contains ri...
12/20/2018 ∙ by Jie Zhou, et al. ∙ 62 ∙ share

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Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations

Multi-hop knowledge graph (KG) reasoning is an effective and explainable...
08/30/2019 ∙ by Xin Lv, et al. ∙ 14 ∙ share

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Differentiating Concepts and Instances for Knowledge Graph Embedding

Concepts, which represent a group of different instances sharing common ...
11/12/2018 ∙ by Xin Lv, et al. ∙ 1 ∙ share

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Selective Weak Supervision for Neural Information Retrieval

This paper democratizes neural information retrieval to scenarios where ...
01/28/2020 ∙ by Kaitao Zhang, et al. ∙ 1 ∙ share

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Image-embodied Knowledge Representation Learning

Entity images could provide significant visual information for knowledge...
09/22/2016 ∙ by Ruobing Xie, et al. ∙ 0 ∙ share

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End-to-End Neural Ad-hoc Ranking with Kernel Pooling

This paper proposes K-NRM, a kernel based neural model for document rank...
06/20/2017 ∙ by Chenyan Xiong, et al. ∙ 0 ∙ share

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Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning with Confidence

Knowledge graphs (KGs) can provide significant relational information an...
05/09/2017 ∙ by Ruobing Xie, et al. ∙ 0 ∙ share

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Neural Emoji Recommendation in Dialogue Systems

Emoji is an essential component in dialogues which has been broadly util...
12/14/2016 ∙ by Ruobing Xie, et al. ∙ 0 ∙ share

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Joint Representation Learning of Text and Knowledge for Knowledge Graph Completion

Joint representation learning of text and knowledge within a unified sem...
11/13/2016 ∙ by Xu Han, et al. ∙ 0 ∙ share

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Topic Sensitive Neural Headline Generation

Neural models have recently been used in text summarization including he...
08/20/2016 ∙ by Lei Xu, et al. ∙ 0 ∙ share

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Neural Headline Generation with Sentence-wise Optimization

Recently, neural models have been proposed for headline generation by le...
04/07/2016 ∙ by Ayana, et al. ∙ 0 ∙ share

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A C-LSTM Neural Network for Text Classification

Neural network models have been demonstrated to be capable of achieving ...
11/27/2015 ∙ by Chunting Zhou, et al. ∙ 0 ∙ share

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Category Enhanced Word Embedding

Distributed word representations have been demonstrated to be effective ...
11/27/2015 ∙ by Chunting Zhou, et al. ∙ 0 ∙ share

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Linking GloVe with word2vec

The Global Vectors for word representation (GloVe), introduced by Jeffre...
11/20/2014 ∙ by Tianze Shi, et al. ∙ 0 ∙ share

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Errata: Distant Supervision for Relation Extraction with Matrix Completion

The essence of distantly supervised relation extraction is that it is an...
11/17/2014 ∙ by Miao Fan, et al. ∙ 0 ∙ share

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Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval

This paper presents the Entity-Duet Neural Ranking Model (EDRM), which i...
05/19/2018 ∙ by Zhenghao Liu, et al. ∙ 0 ∙ share

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Denoising Distant Supervision for Relation Extraction via Instance-Level Adversarial Training

Existing neural relation extraction (NRE) models rely on distant supervi...
05/28/2018 ∙ by Xu Han, et al. ∙ 0 ∙ share

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Incorporating Chinese Characters of Words for Lexical Sememe Prediction

Sememes are minimum semantic units of concepts in human languages, such ...
06/17/2018 ∙ by Huiming Jin, et al. ∙ 0 ∙ share

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CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction

In this paper, we introduce the Chinese AI and Law challenge dataset (CA...
07/04/2018 ∙ by Chaojun Xiao, et al. ∙ 0 ∙ share

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An Ontology-Based Artificial Intelligence Model for Medicine Side-Effect Prediction: Taking Traditional Chinese Medicine as An Example

In this work, an ontology-based model for AI-assisted medicine side-effe...
09/12/2018 ∙ by Zeheng Wang, et al. ∙ 0 ∙ share

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Automatic Judgment Prediction via Legal Reading Comprehension

Automatic judgment prediction aims to predict the judicial results based...
09/18/2018 ∙ by Shangbang Long, et al. ∙ 0 ∙ share

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FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation

We present a Few-Shot Relation Classification Dataset (FewRel), consisti...
10/24/2018 ∙ by Xu Han, et al. ∙ 0 ∙ share

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Overview of CAIL2018: Legal Judgment Prediction Competition

In this paper, we give an overview of the Legal Judgment Prediction (LJP...
10/13/2018 ∙ by Haoxi Zhong, et al. ∙ 0 ∙ share

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DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization

We propose DeepChannel, a robust, data-efficient, and interpretable neur...
11/06/2018 ∙ by Jiaxin Shi, et al. ∙ 0 ∙ share

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Language Modeling with Sparse Product of Sememe Experts

Most language modeling methods rely on large-scale data to statistically...
10/29/2018 ∙ by Yihong Gu, et al. ∙ 0 ∙ share

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Learning to Embed Sentences Using Attentive Recursive Trees

Sentence embedding is an effective feature representation for most deep ...
11/06/2018 ∙ by Jiaxin Shi, et al. ∙ 0 ∙ share

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Block Belief Propagation for Parameter Learning in Markov Random Fields

Traditional learning methods for training Markov random fields require d...
11/09/2018 ∙ by You Lu, et al. ∙ 0 ∙ share

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Consistency and Variation in Kernel Neural Ranking Model

This paper studies the consistency of the kernel-based neural ranking mo...
09/27/2018 ∙ by Mary Arpita Pyreddy, et al. ∙ 0 ∙ share

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Neural Collective Entity Linking

Entity Linking aims to link entity mentions in texts to knowledge bases,...
11/21/2018 ∙ by Yixin Cao, et al. ∙ 0 ∙ share

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COSINE: Compressive Network Embedding on Large-scale Information Networks

There is recently a surge in approaches that learn low-dimensional embed...
12/21/2018 ∙ by Zhengyan Zhang, et al. ∙ 0 ∙ share

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Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision

Joint representation learning of words and entities benefits many NLP ta...
11/27/2018 ∙ by Yixin Cao, et al. ∙ 0 ∙ share

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Knowledge Representation Learning: A Quantitative Review

Knowledge representation learning (KRL) aims to represent entities and r...
12/28/2018 ∙ by Yankai Lin, et al. ∙ 0 ∙ share

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OpenHowNet: An Open Sememe-based Lexical Knowledge Base

In this paper, we present an open sememe-based lexical knowledge base Op...
01/28/2019 ∙ by Fanchao Qi, et al. ∙ 0 ∙ share

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Graph Neural Networks with Generated Parameters for Relation Extraction

Recently, progress has been made towards improving relational reasoning ...
02/02/2019 ∙ by Hao Zhu, et al. ∙ 0 ∙ share

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Understanding the Behaviors of BERT in Ranking

This paper studies the performances and behaviors of BERT in ranking tas...
04/16/2019 ∙ by Yifan Qiao, et al. ∙ 0 ∙ share

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Fact Discovery from Knowledge Base via Facet Decomposition

During the past few decades, knowledge bases (KBs) have experienced rapi...
04/21/2019 ∙ by Zihao Fu, et al. ∙ 0 ∙ share

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Relation Structure-Aware Heterogeneous Information Network Embedding

Heterogeneous information network (HIN) embedding aims to embed multiple...
05/15/2019 ∙ by Yuanfu Lu, et al. ∙ 0 ∙ share

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ERNIE: Enhanced Language Representation with Informative Entities

Neural language representation models such as BERT pre-trained on large-...
05/17/2019 ∙ by Zhengyan Zhang, et al. ∙ 0 ∙ share

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COS960: A Chinese Word Similarity Dataset of 960 Word Pairs

Word similarity computation is a widely recognized task in the field of ...
06/01/2019 ∙ by Junjie Huang, et al. ∙ 0 ∙ share

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Multi-Interest Network with Dynamic Routing for Recommendation at Tmall

Industrial recommender systems usually consist of the matching stage and...
04/17/2019 ∙ by Chao Li, et al. ∙ 0 ∙ share

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DocRED: A Large-Scale Document-Level Relation Extraction Dataset

Multiple entities in a document generally exhibit complex inter-sentence...
06/14/2019 ∙ by Yuan Yao, et al. ∙ 0 ∙ share

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Modeling Semantic Compositionality with Sememe Knowledge

Semantic compositionality (SC) refers to the phenomenon that the meaning...
07/10/2019 ∙ by Fanchao Qi, et al. ∙ 0 ∙ share

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Quantifying Similarity between Relations with Fact Distribution

We introduce a conceptually simple and effective method to quantify the ...
07/21/2019 ∙ by Weize Chen, et al. ∙ 0 ∙ share

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GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification

Fact verification (FV) is a challenging task which requires to retrieve ...
07/22/2019 ∙ by Jie Zhou, et al. ∙ 0 ∙ share

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Multi-Channel Graph Neural Network for Entity Alignment

Entity alignment typically suffers from the issues of structural heterog...
08/26/2019 ∙ by Yixin Cao, et al. ∙ 0 ∙ share

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Low-Resource Name Tagging Learned with Weakly Labeled Data

Name tagging in low-resource languages or domains suffers from inadequat...
08/26/2019 ∙ by Yixin Cao, et al. ∙ 0 ∙ share

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Neural Snowball for Few-Shot Relation Learning

Knowledge graphs typically undergo open-ended growth of new relations. T...
08/29/2019 ∙ by Tianyu Gao, et al. ∙ 0 ∙ share

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Towards Scalable Koopman Operator Learning: Convergence Rates and A Distributed Learning Algorithm

In this paper, we propose an alternating optimization algorithm to the n...
09/30/2019 ∙ by Zhiyuan Liu, et al. ∙ 0 ∙ share

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Course Concept Expansion in MOOCs with External Knowledge and Interactive Game

As Massive Open Online Courses (MOOCs) become increasingly popular, it i...
09/17/2019 ∙ by Jifan Yu, et al. ∙ 0 ∙ share

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Neural Document Expansion with User Feedback

This paper presents a neural document expansion approach (NeuDEF) that e...
08/08/2019 ∙ by Yue Yin, et al. ∙ 0 ∙ share

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Zhiyuan Liu

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