I'm a first second third fourth year Ph.D. student at University of Notre Dame. I'm working in HCI@ND lab with advised by Ronald Metoyer.
I interned at Fujitsu Laboratories of America (FLA) during 2018 summer, where I worked on API Learning project.
I will be joining Facebook Feed Integrity group as an intern this coming summer.
My broad research interests lie in HCI and Machine Learning with an emphasis on Data Visualization and NLP. I design and develop interactive interfaces and tools to better mine and communicate stories in data.
Here is my Resume and email.


∙ Linking and Layout: Exploring the Integration of Text and Visualization in Storytelling

  Qiyu Zhi, Alvitta Ottley, Ronald Metoyer

  21st EG/VGTC Conference on Visualization (EuroVis’19)


∙ GameViews: Understanding and Supporting Data-driven Sports Storytelling

  Qiyu Zhi, Suwen Lin, Poorna Talkad Sukumar, Ronald Metoyer

  Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI’19)


∙ VisPod: Content-Based Audio Visual Navigation

  Qiyu Zhi, Suwen Lin, Shuai He, Ronald Metoyer, Nitesh V Chawla

  23rd International Conference on Intelligent User Interfaces (IUI'18) demo

  pdf Video

∙ Coupling Story to Visualization: Using Textual Analysis as a Bridge Between Data and Interpretation

  Ronald Metoyer, Qiyu Zhi, Bart Janczuk, Walter Scheirer

  23rd International Conference on Intelligent User Interfaces (IUI'18)


∙ Recognizing Handwritten Source Code

  Qiyu Zhi, Ronald Metoyer

  Proceedings of Graphics Interface 2017 (GI'17)

  PDF Slides Website

∙ Docio: Documenting API Input/Output Examples

  Jiang, S., Armaly, A., McMillan, C., Zhi, Q., Metoyer, R.

  Proceedings of the 25th IEEE International Conference on Program Comprehension, Tool Demo Track (ICPC'17)

  PDF Website

∙ An combined sentiment classification system for SIGHAN-8

  Qiuchi Li, Qiyu Zhi, Miao Li

  Eighth SIGHAN Workshop on Chinese Language Processing at the Association for Computational Linguistics (ACL-IJCNLP'15)


∙ Msiipl THU at TAC2014 Entity Discovery and Linking Track

  Gang Zhao, Ping Lu, Ruochen Xu, Qiyu Zhi, and Ji Wu

  Proceedings of Text Analysis Conference (TAC'14)