About

I am a Ph.D. student at Princeton University, advised by Prof. Danqi Chen. I received an M.S. in Computer Science from University of Illinois at Urbana-Champaign in 2019, advised by Prof. Tao Xie, and a B.S. in Computer Science from Peking University in 2017.

I am interested in natural language processing and machine learning. My long-term goal is to build efficient and robust systems that can understand human language.

Papers

(* indicates equal contribution)
  1. A Frustratingly Easy Approach for Entity and Relation Extraction
    Zexuan Zhong, Danqi Chen
    Download: [PDF] [Code]
  2. Factual Probing Is [MASK]: Learning vs. Learning to Recall
    Zexuan Zhong*, Dan Friedman*, Danqi Chen
    Download: [PDF] [Code]
  3. Robustra: Training Provable Robust Neural Networks over Reference Adversarial Space
    Linyi Li*, Zexuan Zhong*, Bo Li, Tao Xie
    Download: [PDF]
  4. Learning Food Quality and Safety using Wireless Stickers
    Unsoo Ha, Yunfei Ma, Zexuan Zhong, Tzu-Ming Hsu, Fadel Adib
    Download: [PDF]
  5. SemRegex: A Semantics-Based Approach for Generating Regular Expressions from Natural Language Specifications
    Zexuan Zhong, Jiaqi Guo, Wei Yang, Jian Peng, Tao Xie, Jian-Guang Lou, Ting Liu, Dongmei Zhang
    Download: [PDF]
  6. CoLink: An Unsupervised Framework for User Identity Linkage
    Zexuan Zhong, Yong Cao, Mu Guo, Zaiqing Nie
    Download: [PDF]
  7. Generating Regular Expressions from Natural Language Specifications: Are We There Yet?
    Zexuan Zhong, Jiaqi Guo, Wei Yang, Tao Xie, Jian-Guang Lou, Ting Liu, Dongmei Zhang
    Download: [PDF]
  8. MULDEF: Multi-model-based Defense Against Adversarial Examples for Neural Networks
    Siwakorn Srisakaokul, Zexuan Zhong, Yuhao Zhang, Wei Yang, Tao Xie
    arXiv: 1809.00065
    Download: [PDF]

Education

  • 2019.9 - present, Princeton University
    Ph.D. in Computer Science
  • 2017.8 - 2019.5, University of Illinois at Urbana-Champaign
    M.S. in Computer Science
  • 2013.9 - 2017.7, Peking University
    B.S. in Computer Science and Technology

Experience

  • 2017.8 - 2019.5, Research Assistant, University of Illinois at Urbana-Champaign
    Advisor: Prof. Tao Xie
  • 2018.5 - 2018.8, Visiting Research Assistant, MIT Media Lab
    Advisor: Prof. Fadel Adib
  • 2016.7 - 2017.5, Research Intern, Microsoft Research Asia
    Mentors: Dr. Zaiqing Nie and Dr. Yong Cao
  • 2015.11 - 2016.5, Research Assistant, Peking University
    Advisor: Prof. Yingfei Xiong

Honors

  • Siebel Scholar Class of 2019 [News Post]
  • Tang Li-Xin Scholar (4 in 400), 2014 - present
  • Beijing City Excellent Graduate, 2017
  • Peking University Excellent Graduate, 2017
  • Bachelor of Science Summa Cum Laude, 2017
  • Peking University Merit Student, 2014 - 2017

Program Contests

  • Finalist, ACM-ICPC World Final, 2019
  • Gold Medal, ACM-ICPC Mid-Central USA Regionals Chicago site, 2018
  • Gold Medal, ACM-ICPC Mid-Central USA Regionals Chicago site, 2017
  • Gold Medal, ACM-ICPC Asia Regionals Changchun site, 2013
  • Gold Medal, China National Olympiad in Informatics, 2012

Contact

35 Olden St, Princeton, NJ 08540, USA
Email: zzhong@princeton.edu