Jun Yan

Ph.D. Student

Department of Computer Science
University of Southern California

About Me

I am a second-year PhD student at University of Southern California (USC). I am fortunately advised by Prof. Xiang Ren. My research focuses on Commonsense Reasoning and Information Extraction. I am currently interested in how to leverage external knowledge to benefit machine learning models, especially in low-resource scenarios.

You can find my CV here.


Learning Contextualized Knowledge Structures for Commonsense Reasoning

Jun Yan, Mrigank Raman, Tianyu Zhang, Ryan Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, Xiang Ren

arXiv:2010.12873 (short version in KR2ML@NeurIPS 2020) [paper]


Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering

Yanlin Feng*, Xinyue Chen*, Bill Yuchen Lin, Peifeng Wang, Jun Yan, Xiang Ren (* indicates equal contribution)

EMNLP 2020 [paper][code]

Learning from Explanations with Neural Execution Tree

Ziqi Wang*, Yujia Qin*, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren (* indicates equal contribution)

ICLR 2020 [paper][code]

Learning Dual Retrieval Module for Semi-supervised Relation Extraction

Hongtao Lin, Jun Yan, Meng Qu, Xiang Ren

TheWebConf 2019 [paper][code]

Language Modeling with Sparse Product of Sememe Experts

Yihong Gu*, Jun Yan*, Hao Zhu*, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Fen Lin, Leyu Lin (* indicates equal contribution)

EMNLP 2018 [paper][code]

Research Experience


Graduate Research Assistant

Aug 2019 - Present

Undergraduate Research Assistant

Jul 2018 - Sep 2018

Intelligence and Knowledge Discovery Research Lab at University of Southern California
Advisor: Prof. Xiang Ren

Inspired by the duality between relation extraction and sentence retrieval with relation query, we proposed a semi-supervised dual learning framework that can better leverage unlabeled data than traditional methods.

I am now working on incorporating knowledge graph into knowledge-driven tasks like quesion answering.


Undergraduate Research Assistant

Oct 2018 - Jun 2019

Multimedia Signal and Intelligent Information Processing Lab at Tsinghua University
Advisor: Prof. Ji Wu

I worked on my thesis project, which focuses on machine translation in the low-resource medical domain. I improved the performance by leveraging both in-domain terminology constraints and out-domain training data.


Undergraduate Research Assistant

Nov 2017 - Apr 2018

Natural Language Processing Lab at Tsinghua University
Advisor: Prof. Zhiyuan Liu

We proposed a language model that incorporates sememe (the basic semantic unit) knowledge about words and demonstrated its superior performance and interpretability on language modeling and its downstream task.

Honors & Awards

  • Sep 2019: My project receives support from Adobe Data Science Research Award ($50,000), PI: Prof. Xiang Ren
  • Aug 2019: Annenberg Fellowship, University of Southern California
  • Jul 2019: Excellent Graduate, Tsinghua University
  • Oct 2018: Evergrande Scholarship, Tsinghua University
  • Oct 2017: Samsung Scholarship, Tsinghua University
  • Oct 2016: JJWorld Scholarship, Tsinghua University


University of Southern California

Ph.D. in Computer Science

2019 - Present     Los Angeles, U.S.

Tsinghua University

B.Eng. in Electronic Engineering

2015 - 2019     Beijing, China