PhD Student

About Me

I am currently a fourth-year Ph.D. student at University of Southern California (USC), advised by Prof. Xiang Ren.

My research focuses on building trustworthy Natural Language Processing (NLP) systems. Specifically, I’m interested in security and robustness of NLP models. I also do research in question answering, and information extraction.

You can find my CV here.

Preprint

BITE: Textual Backdoor Attacks with Iterative Trigger Injection

Jun Yan, Vansh Gupta, Xiang Ren

arXiv:2205.12700 [paper]

Publications

On the Robustness of Reading Comprehension Models to Entity Renaming

Jun Yan, Yang Xiao, Sagnik Mukherjee, Bill Yuchen Lin, Robin Jia, Xiang Ren

NAACL 2022 [paper][code]

RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models

Bill Yuchen Lin, Wenyang Gao, Jun Yan, Ryan Moreno, Xiang Ren

EMNLP 2021 (short) [paper][code]

AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding

Jun Yan, Nasser Zalmout, Yan Liang, Christan Grant, Xiang Ren, Xin Luna Dong

ACL-IJCNLP 2021 [paper]

Learning Contextualized Knowledge Structures for Commonsense Reasoning

Jun Yan, Mrigank Raman, Aaron Chan, Tianyu Zhang, Ryan Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka

Findings of ACL-IJCNLP 2021 (short version in KR2ML@NeurIPS 2020) [paper][code]

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]

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

Education

University of Southern California

Ph.D. in Computer Science

2019 - Present Los Angeles, CA, U.S.

Tsinghua University

B.Eng. in Electronic Engineering

2015 - 2019 Beijing, China

Jun Yan