About me

I am a final-year Ph.D. student in Computer Science at the School of Interactive Computing of the Georgia Institute of Technology, where I am advised by Professor Wei Xu. My research mainly focuses on Natural Language Processing (NLP) and Large Language Models (LLMs), particularly in the area of text revision and semantic understanding.

Before joining Georgia Tech, I was a Ph.D. student at the Computer Science and Engineering department of The Ohio State University. I received my M.S. degree in Computer Science from the University of Virginia, where I did some research on representation learning for NLP with Professor Kai-Wei Chang. I received my B.E. in Communication Engineering from the School of Electrical and Information Engineering at Tianjin University.

For complete information, please refer to my resume.

Publications

• MedReadMe: A Systematic Study for Fine-grained Sentence Readability in Medical Domain
  Chao Jiang, Wei Xu
  EMNLP 2024
  [arXiv]
• Frustratingly Easy Label Projection for Cross-lingual Transfer
  Yang Chen, Chao Jiang, Alan Ritter, Wei Xu
  Findings of ACL 2023
  [arXiv]
• arXivEdits: Understanding the Human Revision Process in Scientific Writing
  Chao Jiang, Wei Xu, Samuel Stevens
  EMNLP 2022
  [arXiv] [data] [poster] [short slides] [long slides] [3-minute video on Youtube]
• Improving Large-scale Paraphrase Acquisition and Generation
  Yao Dou, Chao Jiang, Wei Xu
  EMNLP 2022
  [arXiv] [data/leaderboard]
• Neural semi-Markov CRF for Monolingual Word Alignment
  Wuwei Lan*, Chao Jiang*, Wei Xu (* indicates equal contribution.)
  ACL 2021 (Oral Presentation)
  [arXiv] [data/code] [slides] [video on Youtube]
• Neural CRF Model for Sentence Alignment in Text Simplification
  Chao Jiang, Mounica Maddela, Wuwei Lan, Yang Zhong, Wei Xu
  ACL 2020
  [arXiv] [data/code] [slides] [video on Youtube]
• Discourse Level Factors for Sentence Deletion in Text Simplification
  Yang Zhong, Chao Jiang, Wei Xu, Junyi Jessy Li
  AAAI 2020 (Oral Presentation)
  [arXiv] [slides by Yang Zhong]
• Learning Word Embeddings for Low-Resource Languages by PU Learning
  Chao Jiang, Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang
  NAACL-HLT 2018 (Oral Presentation)
  [arXiv] [code] [slides] [video]

Preprints

• Multi-task Learning for Universal Sentence Embeddings: A Thorough Evaluation using Transfer and Auxiliary Tasks
  Wasi Uddin Ahmad, Xueying Bai, Zhechao Huang, Chao Jiang, Nanyun Peng, Kai-Wei Chang
  [arXiv]

Education

• Georgia Institute of Technology
  Ph.D. student in Computer Science
  Aug. 2020 -- Present
• The Ohio State University
  Ph.D. student in Computer Science and Engineering
  Aug. 2018 -- Aug. 2020
• University of Virginia
  M.S. in Computer Science
  Aug. 2016 -- May 2018
• Tianjin University
  B.S. in Communication Engineering
  Aug. 2011 -- Jun. 2015

Experience

• Apple AIML, Siri Information Intelligence
  Machine Learning Engineering Intern
  May. 2024 -- August 2024
• Georgia Institute of Technology
  Research Assistant with Professor Wei Xu
  Aug. 2020 -- Present
• Georgia Institute of Technology
  Teaching Assistant for graudate-level natural language processing course
  2022 -- 2024
• The Ohio State University
  Research Assistant with Professor Wei Xu
  Jan. 2019 -- Aug. 2020
• The Ohio State University
  Teaching Assistant for undergraduate-level algorithm course
  Aug. 2018 -- Dec. 2018
• University of Virginia
  Teaching Assistant for undergraduate-level machine learning course
  Jan. 2018 -- May 2018

Contact

chaojiang06 AT gmail.com