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.

Featured Co-authors

Yang Liu
322 publications
Wei Zhang
176 publications
Jianfeng Gao
133 publications
Wei Li
128 publications
Ting Liu
108 publications
Bo Zhang
105 publications
Jie Zhou
95 publications
Jian Tang
73 publications
Jieping Ye
71 publications
Tat-Seng Chua
70 publications
Maosong Sun
69 publications

Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment

Entity alignment (EA) aims at building a unified Knowledge Graph (KG) of...
10/07/2020 ∙ by Zhiyuan Liu, et al. ∙ 0 ∙ share

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Learning from Context or Names? An Empirical Study on Neural Relation Extraction

Neural models have achieved remarkable success on relation extraction (R...
10/05/2020 ∙ by Hao Peng, et al. ∙ 0 ∙ share

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Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph

Multi-hop reasoning has been widely studied in recent years to seek an e...
10/05/2020 ∙ by Xin Lv, et al. ∙ 0 ∙ share

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Partially-Aligned Data-to-Text Generation with Distant Supervision

The Data-to-Text task aims to generate human-readable text for describin...
10/03/2020 ∙ by Zihao Fu, et al. ∙ 0 ∙ share

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Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models

Several recent efforts have been devoted to enhancing pre-trained langua...
09/29/2020 ∙ by YuSheng Su, et al. ∙ 0 ∙ share

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Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect

Recommender systems aim to provide item recommendations for users, and a...
09/19/2020 ∙ by Zheni Zeng, et al. ∙ 0 ∙ share

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Learning to Attack: Towards Textual Adversarial Attacking in Real-world Situations

Adversarial attacking aims to fool deep neural networks with adversarial...
09/19/2020 ∙ by Yuan Zang, et al. ∙ 0 ∙ share

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OpenAttack: An Open-source Textual Adversarial Attack Toolkit

Textual adversarial attacking has received wide and increasing attention...
09/19/2020 ∙ by Guoyang Zeng, et al. ∙ 0 ∙ share

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Country Image in COVID-19 Pandemic: A Case Study of China

Country image has a profound influence on international relations and ec...
09/12/2020 ∙ by Huimin Chen, et al. ∙ 0 ∙ share

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A Smoothed Analysis of Online Lasso for the Sparse Linear Contextual Bandit Problem

We investigate the sparse linear contextual bandit problem where the par...
07/16/2020 ∙ by Zhiyuan Liu, et al. ∙ 0 ∙ share

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Adaptive Graph Encoder for Attributed Graph Embedding

Attributed graph embedding, which learns vector representations from gra...
07/03/2020 ∙ by Ganqu Cui, et al. ∙ 0 ∙ share

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Crossmodal Language Grounding in an Embodied Neurocognitive Model

Human infants are able to acquire natural language seemingly easily at a...
06/24/2020 ∙ by Stefan Heinrich, et al. ∙ 5 ∙ share

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Graph Policy Network for Transferable Active Learning on Graphs

Graph neural networks (GNNs) have been attracting increasing popularity ...
06/24/2020 ∙ by Shengding Hu, et al. ∙ 25 ∙ share

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Few-Shot Generative Conversational Query Rewriting

Conversational query rewriting aims to reformulate a concise conversatio...
06/09/2020 ∙ by Shi Yu, et al. ∙ 0 ∙ share

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Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen

The curse of knowledge can impede communication between experts and laym...
05/02/2020 ∙ by Yixin Cao, et al. ∙ 0 ∙ share

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Joint Keyphrase Chunking and Salience Ranking with BERT

An effective keyphrase extraction system requires to produce self-contai...
04/28/2020 ∙ by Si Sun, et al. ∙ 0 ∙ share

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KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion

Knowledge graphs (KGs) contains an instance-level entity graph and an on...
04/28/2020 ∙ by Jie Zhou, et al. ∙ 0 ∙ share

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MAVEN: A Massive General Domain Event Detection Dataset

Event detection (ED), which identifies event trigger words and classifie...
04/28/2020 ∙ by Xiaozhi Wang, et al. ∙ 0 ∙ share

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How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence

Legal Artificial Intelligence (LegalAI) focuses on applying the technolo...
04/25/2020 ∙ by Haoxi Zhong, et al. ∙ 0 ∙ share

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Train No Evil: Selective Masking for Task-guided Pre-training

Recently, pre-trained language models mostly follow the pre-training-the...
04/21/2020 ∙ by Yuxian Gu, et al. ∙ 0 ∙ share

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Coreferential Reasoning Learning for Language Representation

Language representation models such as BERT could effectively capture co...
04/15/2020 ∙ by Deming Ye, et al. ∙ 0 ∙ share

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More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction

Relational facts are an important component of human knowledge, which ar...
04/07/2020 ∙ by Xu Han, et al. ∙ 0 ∙ 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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Lexical Sememe Prediction using Dictionary Definitions by Capturing Local Semantic Correspondence

Sememes, defined as the minimum semantic units of human languages in lin...
01/16/2020 ∙ by Jiaju Du, et al. ∙ 0 ∙ share

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CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension

We present a Chinese judicial reading comprehension (CJRC) dataset which...
12/19/2019 ∙ by Xingyi Duan, et al. ∙ 0 ∙ share

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Towards Building a Multilingual Sememe Knowledge Base: Predicting Sememes for BabelNet Synsets

A sememe is defined as the minimum semantic unit of human languages. Sem...
12/04/2019 ∙ by Fanchao Qi, et al. ∙ 0 ∙ share

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JEC-QA: A Legal-Domain Question Answering Dataset

We present JEC-QA, the largest question answering dataset in the legal d...
11/27/2019 ∙ by Haoxi Zhong, et al. ∙ 0 ∙ share

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CAIL2019-SCM: A Dataset of Similar Case Matching in Legal Domain

In this paper, we introduce CAIL2019-SCM, Chinese AI and Law 2019 Simila...
11/20/2019 ∙ by Chaojun Xiao, et al. ∙ 0 ∙ share

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KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation

Pre-trained language representation models (PLMs) learn effective langua...
11/13/2019 ∙ by Xiaozhi Wang, et al. ∙ 0 ∙ share

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Incentivized Exploration for Multi-Armed Bandits under Reward Drift

We study incentivized exploration for the multi-armed bandit (MAB) probl...
11/12/2019 ∙ by Zhiyuan Liu, et al. ∙ 0 ∙ share

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Building Effective Large-Scale Traffic State Prediction System: Traffic4cast Challenge Solution

How to build an effective large-scale traffic state prediction system is...
11/11/2019 ∙ by Yang Liu, et al. ∙ 0 ∙ share

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Conversation Generation with Concept Flow

Human conversations naturally evolve around related entities and connect...
11/07/2019 ∙ by Houyu Zhang, et al. ∙ 0 ∙ share

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Multi-Paragraph Reasoning with Knowledge-enhanced Graph Neural Network

Multi-paragraph reasoning is indispensable for open-domain question answ...
11/06/2019 ∙ by Deming Ye, et al. ∙ 0 ∙ share

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Adversarial Language Games for Advanced Natural Language Intelligence

While adversarial games have been well studied in various board games an...
11/05/2019 ∙ by Yuan Yao, et al. ∙ 0 ∙ share

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Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations

Deep neural networks usually require massive labeled data, which restric...
11/04/2019 ∙ by Ziqi Wang, et al. ∙ 0 ∙ share

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Learning to Annotate: Modularizing Data Augmentation for TextClassifiers with Natural Language Explanations

Deep neural networks usually require massive labeled data, which restric...
11/04/2019 ∙ by Ziqi Wang, et al. ∙ 0 ∙ share

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FewRel 2.0: Towards More Challenging Few-Shot Relation Classification

We present FewRel 2.0, a more challenging task to investigate two aspect...
10/16/2019 ∙ by Tianyu Gao, et al. ∙ 0 ∙ share

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NumNet: Machine Reading Comprehension with Numerical Reasoning

Numerical reasoning, such as addition, subtraction, sorting and counting...
10/15/2019 ∙ by Qiu Ran, 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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OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction

OpenNRE is an open-source and extensible toolkit that provides a unified...
09/28/2019 ∙ by Xu Han, 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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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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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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Explore Entity Embedding Effectiveness in Entity Retrieval

This paper explores entity embedding effectiveness in ad-hoc entity retr...
08/28/2019 ∙ by Zhenghao Liu, 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 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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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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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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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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