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
344 publications
Wei Zhang
205 publications
Jianfeng Gao
153 publications
Wei Li
149 publications
Ting Liu
125 publications
Bo Zhang
124 publications
Jie Zhou
116 publications
Chao Li
84 publications
Jian Tang
83 publications
Maosong Sun
82 publications
Xiang Ren
81 publications

Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability

Multi-hop reasoning has been widely studied in recent years to obtain mo...
04/14/2021 ∙ by Xin Lv, et al. ∙ 0 ∙ share

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Incentivizing Exploration in Linear Bandits under Information Gap

We study the problem of incentivizing exploration for myopic users in li...
04/08/2021 ∙ by Huazheng Wang, et al. ∙ 0 ∙ share

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Visual Distant Supervision for Scene Graph Generation

Scene graph generation aims to identify objects and their relations in i...
03/29/2021 ∙ by Yuan Yao, et al. ∙ 0 ∙ share

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Equality before the Law: Legal Judgment Consistency Analysis for Fairness

In a legal system, judgment consistency is regarded as one of the most i...
03/25/2021 ∙ by Yuzhong Wang, et al. ∙ 0 ∙ share

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UPRec: User-Aware Pre-training for Recommender Systems

Existing sequential recommendation methods rely on large amounts of trai...
02/22/2021 ∙ by Chaojun Xiao, et al. ∙ 0 ∙ share

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CSS-LM: A Contrastive Framework for Semi-supervised Fine-tuning of Pre-trained Language Models

Fine-tuning pre-trained language models (PLMs) has demonstrated its effe...
02/07/2021 ∙ by YuSheng Su, et al. ∙ 0 ∙ share

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Representation Learning for Natural Language Processing

This book aims to review and present the recent advances of distributed ...
02/07/2021 ∙ by Zhiyuan Liu, et al. ∙ 0 ∙ share

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OpenMatch: An Open-Source Package for Information Retrieval

Information Retrieval (IR) is an important task and can be used in many ...
01/30/2021 ∙ by Zhenghao Liu, et al. ∙ 0 ∙ share

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Red Alarm for Pre-trained Models: Universal Vulnerabilities by Neuron-Level Backdoor Attacks

Due to the success of pre-trained models (PTMs), people usually fine-tun...
01/18/2021 ∙ by Zhengyan Zhang, et al. ∙ 0 ∙ share

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ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning

Pre-trained Language Models (PLMs) have shown strong performance in vari...
12/30/2020 ∙ by Yujia Qin, et al. ∙ 17 ∙ share

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Meta Adaptive Neural Ranking with Contrastive Synthetic Supervision

Neural Information Retrieval (Neu-IR) models have shown their effectiven...
12/29/2020 ∙ by Si Sun, et al. ∙ 0 ∙ share

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CPM: A Large-scale Generative Chinese Pre-trained Language Model

Pre-trained Language Models (PLMs) have proven to be beneficial for vari...
12/01/2020 ∙ by Zhengyan Zhang, et al. ∙ 4 ∙ share

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ONION: A Simple and Effective Defense Against Textual Backdoor Attacks

Backdoor attacks, which are a kind of emergent training-time threat to d...
11/20/2020 ∙ by Fanchao Qi, et al. ∙ 0 ∙ share

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TLab: Traffic Map Movie Forecasting Based on HR-NET

The problem of the effective prediction for large-scale spatio-temporal ...
11/13/2020 ∙ by Fanyou Wu, et al. ∙ 0 ∙ share

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Denoising Relation Extraction from Document-level Distant Supervision

Distant supervision (DS) has been widely used to generate auto-labeled d...
11/08/2020 ∙ by Chaojun Xiao, et al. ∙ 0 ∙ share

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CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search

Neural rankers based on deep pretrained language models (LMs) have been ...
11/03/2020 ∙ by Chenyan Xiong, et al. ∙ 0 ∙ share

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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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