Xu Han


Ph.D. Student
Natural Language Processing Lab,
Department of Computer Science and Technology,
Tsinghua University, Beijing, China.

Contact

  thu [dot] hanxu13 [at] gmail [dot] com
cst_hanxu13 [at] 163 [dot] com
  Room 4-506, FIT Building, Tsinghua University
Beijing, 100084, China
  Github
  Google Scholar

About me

Hi! I am a Ph.D. student in the Department of Computer Science and Technology at Tsinghua University. I am advised by Professor Zhiyuan Liu and affiliated with the Natural Language Processing Lab (THUNLP). My research interests lie within the intersection of natural language processing, deep learning, information extraction and knowledge graphs. Before I becoming a Ph.D. student, I also received my bachelor degree from Tsinghua University.

PUBLICATIONS

2020

1. Zhiyuan Liu, Xu Han, Maosong Sun. Knowledge Graph and Deep Learning. Book (In Chinese).
2. Xu Han, Yuzhuo Bai, Keyue Qiu, Zhiyuan Liu and Maosong Sun. IsOBS: An Information System for Oracle Bone Script. EMNLP 2020. Demo paper.
3. Xin Lv, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu, Wei Zhang, Yichi Zhang, Hao Kong and Suhui Wu. Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph. EMNLP 2020. Long paper.
4. Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun and Jie Zhou. Learning from Context or Names? An Empirical Study on Neural Relation Extraction. EMNLP 2020. Long paper.
5. Xiaozhi Wang, Ziqi Wang, Xu Han, Wangyi Jiang, Rong Han, Zhiyuan Liu, Juanzi Li, Peng Li, Yankai Lin and Jie Zhou. MAVEN: A Massive General Domain Event Detection Dataset. EMNLP 2020. Long paper.
6. Chaojun Xiao, Yuan Yao, Ruobing Xie, Xu Han, Zhiyuan Liu, Maosong Sun, Fen Lin and Leyu Lin. Denoising Relation Extraction from Document-level Distant Supervision. EMNLP 2020. Short paper.
7. Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Maosong Sun and Jie Zhou. More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction. AACL-IJCNLP 2020. Long paper.
8. Xiaozhi Wang, Shengyu Jia, Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li and Jie Zhou. Neural Gibbs Sampling for Joint Event Argument Extraction. AACL-IJCNLP 2020. Long paper.
9. Xu Han, Yi Dai, Tianyu Gao, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun and Jie Zhou. Continual Relation Learning via Episodic Memory Activation and Reconsolidation. ACL 2020. Long paper.
10.   Tianyu Gao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun. Neural Snowball for Few-Shot Relation Learning. AAAI 2020. Long paper.
11.   Bowen Dong, Yuan Yao, Ruobing Xie, Tianyu Gao, Xu Han, Zhiyuan Liu, Fen Lin, Leyu Lin and Maosong Sun. Meta-Information Guided Meta-Learning for Few-Shot Relation Classification. COLING 2020. Long paper.

2019

1.   Xu Han, Tianyu Gao, Yuan Yao, Demin Ye, Zhiyuan Liu, Maosong Sun. OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction. EMNLP 2019. Demo paper.
2.   Ruidong Wu, Yuan Yao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun. Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data. EMNLP 2019. Long paper.
3.   Tianyu Gao, Xu Han, Hao Zhu, Zhiyuan Liu , Peng Li, Maosong Sun, Jie Zhou. FewRel 2.0: Towards More Challenging Few-Shot Relation Classification. EMNLP 2019. Short paper.
4.   Xiaozhi Wang, Ziqi Wang, Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li, Maosong Sun, Jie Zhou, Xiang Ren. HMEAE: Hierarchical Modular Event Argument Extraction. EMNLP 2019. Short paper.
5.   Xin Lv, Yuxian Gu, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu. Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations. EMNLP 2019. Short paper.
6.  Zhengyan Zhang, Xu Han*, Zhiyuan Liu, Xin Jiang, Maosong Sun, Qun Liu (* indicates equal contribution). ERNIE: Enhanced Language Representation with Informative Entities. ACL 2019. Long paper.
7.  Jie Zhou, Xu Han, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, Maosong Sun. GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification. ACL 2019. Long paper.
8.  Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun. DocRED: A Large-Scale Document-Level Relation Extraction Dataset. ACL 2019. Long paper.
9.   Weize Chen, Hao Zhu, Xu Han, Zhiyuan Liu, Maosong Sun. Quantifying Similarity between Relations with Fact Distribution. ACL 2019. Long paper.
10.   Shun Zheng, Xu Han, Yankai Lin, Peilin Yu, Lu Chen, Ling Huang, Zhiyuan Liu, Wei Xu. DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction. ACL 2019. Long paper.
11.  Xiaozhi Wang*, Xu Han*, Zhiyuan Liu, Maosong Sun, Peng Li (* indicates equal contribution). Adversarial Training for Weakly Supervised Event Detection. NAACL-HLT 2019. Long paper.
12.  Tianyu Gao*, Xu Han*, Zhiyuan Liu, Maosong Sun (* indicates equal contribution). Hybrid Attention-based Prototypical Networks for Noisy Few-Shot Relation Classification. AAAI 2019. Long paper.

Before 2019

1.  Xu Han, Pengfei Yu, Zhiyuan Liu, Maosong Sun, Peng Li. Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention. EMNLP 2018. Long paper.
2.  Xu Han, Shulin Cao, Xin Lv, Yankai Lin, Zhiyuan Liu, Maosong Sun and Juanzi Li. OpenKE: An Open Toolkit for Knowledge Embedding. EMNLP 2018. Demo paper.
3.  Xu Han, Hao Zhu, Pengfei Yu, Ziyun Wang, Yuan Yao, Zhiyuan Liu, Maosong Sun. FewRel: A Large-Scale Supervised Few-shot Relation Classification Dataset with State-of-the-Art Evaluation. EMNLP 2018. Short paper.
4.  Ji Xin, Hao Zhu, Xu Han, Zhiyuan Liu, Maosong Sun. Put It Back: Entity Typing with Language Model Enhancement. EMNLP 2018. Short paper.
5.  Xu Han, Zhiyuan Liu, Maosong Sun. Denoising Distant Supervision for Relation Extraction via Instance-Level Adversarial Training. arXiv. 2018.
6.  Xiaozhi Wang*, Xu Han*, Yankai Lin, Zhiyuan Liu, Maosong Sun (* indicates equal contribution). Adversarial Multi-lingual Neural Relation Extraction. COLING 2018. Long paper.
7.  Xu Han, Zhiyuan Liu, Maosong Sun. Neural Knowledge Acquisition via Mutual Attention between Knowledge Graph and Text. AAAI 2018. Long paper.
8.  Xu Han, Zhiyuan Liu, Maosong Sun. Joint Representation Learning of Text and Knowledge for Knowledge Graph Completion. arXiv. 2016.

PROJECTS

Toolkits for Knowledge Embedding

Toolkits for Relation Extraction

Datasets

Paper Lists

EXPERIENCE

Ph.D. student

Department of Computer Science and Technology,
Tsinghua University, Beijing, China.
August 2017 - Present

Bachelor of Engineering

Department of Computer Science and Technology,
Tsinghua University, Beijing, China.
August 2013 - July 2017

High School

Dafeng High School, Yancheng, Jiangsu, China.
August 2010 - July 2013

Reviewer

SIGIR 2018, IJCAI 2018, AAAI 2019, NAACL-HLT 2019, EMNLP-IJCNLP 2019,
ACL 2020, WWW 2020, CIKM 2020, EMNLP 2020, COLING 2020, NLPCC 2020, AACL 2020,
NAACL 2021.

TA

Writing and Communication, Tsinghua University.
2020 - Present
Object-Oriented Programming, Tsinghua University.
2018 - Present
Software Engineering, Tsinghua University.
2016 - 2017

Awards

Ph.D. student

Microsoft Research Asia (MSRA) Fellowship.
Tsinghua-Sohu Scholarship, Tsinghua University.
2020
Zhongshimo Scholarship, Tsinghua University.
Jiang Nanxiang Scholarship, Tsinghua University.
National Scholarship for Ph.D Student, Tsinghua University.
Tencent Rhino-Bird Elite Training Program Excellent Graduate.
2019
National Scholarship for Ph.D Student, Tsinghua University.
2018

Bachelor

Excellent Graduate, Tsinghua University.
Excellent Bachelor Thesis, Tsinghua University.
Excellent Graduate, Dept. of CS&T, Tsinghua University.
2017
First-class Overall Excellence Scholarship, Tsinghua University.
2016
First-class Science and Technology Innovation Excellence Scholarship, Tsinghua University.
2015
First-class Academic Excellence Scholarship, Tsinghua University.
2014

high school

Silver medal in National Olympiad in Information, China.
2012
Golden medal in National Olympiad in Information, China.
2011