Barry Wang

Barry Wang

M.S. Computer Science

Cornell University

Biography

My thesis research focuses on Privacy and Security, with Natural Language Processing (NLP) as a concurrent interest of mine.

Proudly advised by Professor Thomas Ristenpart, I have concentrated on End-to-End Encryption applications in my security research. My research aims to enhance online community governance and privacy while balancing anti-abuse.

In my NLP work, fortunately guided by Professor Claire Cardie, my focus is on improving Information Extraction and model interpretability, particularly when inputs are at the document level.

Education
  • M.S. in Computer Science, 2024

    Cornell University

  • B.A. in Computer Science, 2022

    Cornell University

Publications

(2023). Probing Representations for Document-level Event Extraction. EMNLP 2023 Findings.

PDF Cite Code Poster Slides DOI ACL Anthology ArXiv

(2022). Automatic Error Analysis for Document-level Information Extraction. ACL 2022 Main.

PDF Cite Code Poster Video DOI

(2017). Private Hierarchical Governance for Encrypted Messaging. Oakland 2024.

PDF Code DOI Oakland PDF

Experience

 
 
 
 
 
Cornell University
Teaching Assistant
August 2020 – Present Ithaca, New York

Courses TA’ed:

  • CS4410: Operating System (Spring 2022, Spring 2024)
  • CS5430: System Security (Fall 2023)
  • CS3410: Computer System Organization and Programming (Spring 2021, Fall 2021, Fall 2022)
  • CS2112: Object-Oriented Design and Data Structures (Honors) (Fall 2020)
 
 
 
 
 
Roblox
Software Engineering Intern (Research)
May 2023 – August 2023 San Mateo, California
Machine Learning research @Roblox Security.