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
220 publications
Wei Li
162 publications
Jianfeng Gao
161 publications
Jie Zhou
140 publications
Ting Liu
135 publications
Bo Zhang
133 publications
Maosong Sun
95 publications
Chao Li
92 publications
Jian Tang
90 publications
Tat-Seng Chua
87 publications

Robotic Occlusion Reasoning for Efficient Object Existence Prediction

Reasoning about potential occlusions is essential for robots to efficien...
07/26/2021 ∙ by Mengdi Li, et al. ∙ 0 ∙ share

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More Robust Dense Retrieval with Contrastive Dual Learning

Dense retrieval conducts text retrieval in the embedding space and has s...
07/16/2021 ∙ by Yizhi Li, et al. ∙ 0 ∙ share

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From Symbols to Embeddings: A Tale of Two Representations in Computational Social Science

Computational Social Science (CSS), aiming at utilizing computational me...
06/27/2021 ∙ by Huimin Chen, et al. ∙ 0 ∙ share

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Evaluating Modules in Graph Contrastive Learning

The recent emergence of contrastive learning approaches facilitates the ...
06/15/2021 ∙ by Ganqu Cui, et al. ∙ 16 ∙ share

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Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution

Recent studies show that neural natural language processing (NLP) models...
06/11/2021 ∙ by Fanchao Qi, et al. ∙ 0 ∙ share

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SHUOWEN-JIEZI: Linguistically Informed Tokenizers For Chinese Language Model Pretraining

Conventional tokenization methods for Chinese pretrained language models...
06/01/2021 ∙ by Chenglei Si, et al. ∙ 0 ∙ share

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Fully Hyperbolic Neural Networks

Hyperbolic neural networks have shown great potential for modeling compl...
05/31/2021 ∙ by Weize Chen, et al. ∙ 0 ∙ share

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CLEVE: Contrastive Pre-training for Event Extraction

Event extraction (EE) has considerably benefited from pre-trained langua...
05/30/2021 ∙ by Ziqi Wang, et al. ∙ 0 ∙ share

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Knowledge Inheritance for Pre-trained Language Models

Recent explorations of large-scale pre-trained language models (PLMs) su...
05/28/2021 ∙ by Yujia Qin, et al. ∙ 8 ∙ share

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Automatic Construction of Sememe Knowledge Bases via Dictionaries

A sememe is defined as the minimum semantic unit in linguistics. Sememe ...
05/26/2021 ∙ by Fanchao Qi, et al. ∙ 0 ∙ share

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Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger

Backdoor attacks are a kind of insidious security threat against machine...
05/26/2021 ∙ by Fanchao Qi, et al. ∙ 0 ∙ share

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PTR: Prompt Tuning with Rules for Text Classification

Fine-tuned pre-trained language models (PLMs) have achieved awesome perf...
05/24/2021 ∙ by Xu Han, et al. ∙ 0 ∙ share

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Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction

Distantly supervised (DS) relation extraction (RE) has attracted much at...
05/20/2021 ∙ by Tianyu Gao, et al. ∙ 16 ∙ share

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Few-NERD: A Few-Shot Named Entity Recognition Dataset

Recently, considerable literature has grown up around the theme of few-s...
05/16/2021 ∙ by Ning Ding, et al. ∙ 0 ∙ share

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Few-Shot Conversational Dense Retrieval

Dense retrieval (DR) has the potential to resolve the query understandin...
05/10/2021 ∙ by Shi Yu, et al. ∙ 0 ∙ share

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Lawformer: A Pre-trained Language Model for Chinese Legal Long Documents

Legal artificial intelligence (LegalAI) aims to benefit legal systems wi...
05/09/2021 ∙ by Chaojun Xiao, et al. ∙ 3 ∙ share

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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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