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赵逸雪 Yixue Zhao, PhD

Research Computer Scientist

Information Sciences Institute

About Me

I'm a Research Computer Scientist at Information Scienced Institute (ISI) Arlington (VA), doing cool research and working with cool people 😊 I enjoy solving important and interesting problems with broad research interests (knowledge has no boundaries, right? ;)). My current research focus is listed below (it changes overtime and I'm always open to new collaborations!). Prior to ISI, I enjoyed 2 wonderful years in the beautiful town Amherst (MA) as a Computing Innovation Fellow (CIFellow) at University of Massachusetts Amherst (UMass). I received my Ph.D. in Computer Science from University of Southern California (USC) in 2020. Before my PhD, I grew up in China and received my Bachelor’s degree in Software Engineering from the Harbin Institute of Technology (HIT) in China.

Throughout my research projects, I enjoy working with people the most. I love learning about leadership and mentoring very much! My mentoring experience can be found here.

Outside of work, I enjoy rock climbing, taking fun classes (see class list ), meditation, writing blogs, and reading books very much. Check out my misc page for more non-researchy stuff :)

Interests

  • Next-gen Processors for Spaceships
  • Well-being and Mindfulness
  • Software Engineering
  • Mobile Applications
  • Program Analysis
  • Software Testing

Education

  • PhD in Computer Science, 2014 -- 2020

    University of Southern California (USC), USA

  • BEng in Software Engineering, 2010 -- 2014

    Harbin Institute of Technology (HIT), China

Recent News

All News»

[Mar 2023] I'm chairing ICSE 2023‘s Student Mentoring Workshop (SMeW) and we've got huge interests from students! If you're coming to ICSE, consider sign up as a student mentor to make your ICSE trip more fun and rewarding! 🤝

[Jan 2023] Our paper AVGUST: A Tool for Generating Usage-Based Tests from Videos of App Executions is accepted to ICSE 2023 Demo track! Australia here I come! 🇦🇺

[Nov 2022] I will be attending ESEC/FSE 2022 in Singapore and presenting our work FrUITeR and Avgust! 🇸🇬

[Nov 2022] Big announcement!! I just started my new chapter at Information Sciences Institute (ISI) as Research Computer Scientist! I'll start using LinkedIn now haha :)

[Aug 2022] I just had my annual tradition at Dhamma Sukha Meditation Center‘s silent meditation retreat! Always the best 10 days of the year!!

[Jun 2022] Our paper Avgust: Automating Usage-Based Test Generation from Videos of App Executions was accepted to ESEC/FSE 2022! Stay tuned for the camera-ready! ;)

Recent Publications

see CV for the full list :)

. AVGUST: A Tool for Generating Usage-Based Tests from Videos of App Executions. Proceedings of the 45th IEEE/ACM International Conference on Software Engineering (ICSE 2023 Demo), 2023.

. Avgust: Automating Usage-Based Test Generation from Videos of App Executions. Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2022), 2022.

PDF Code Slides Video DOI

. UI Test Migration Across Mobile Platforms. Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering (ASE 2021), 2021.

. Identifying Casualty Changes in Software Patches. Proceedings of the 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2021), 2021.

. Assessing the Feasibility of Web-Request Prediction Models on Mobile Platforms. Proceedings of the 8th IEEE/ACM International Conference on Mobile Software Engineering and Systems 2021 (MOBILESoft), 2021.

PDF Code Slides Video

Recent Talks

Avgust: Automating Usage-Based Test Generation from Videos of App Executions [ESEC/FSE 2022 Presentation]

Writing and maintaining UI tests for mobile apps is a time-consuming and tedious task. While decades of research have produced …

Assessing the Feasibility of Web-Request Prediction Models on Mobile Platforms [MOBILESoft 2021 Paper Presentation]

Prefetching web pages is a well-studied solution to reduce network latency by predicting users’ future actions based on their …

Reducing user-perceived latency in mobile applications via prefetching and caching [PhD Thesis Presentation]

Prefetching and caching is a fundamental approach to reduce user-perceived latency, and has been shown effective in various domains for …

FrUITeR: A Framework for Evaluating UI Test Reuse [ESEC/FSE 2020 Full Presentation]

UI testing is tedious and time-consuming due to the manual effort required. Recent research has explored opportunities for reusing …

FrUITeR: A Framework for Evaluating UI Test Reuse [ESEC/FSE 2020 Short Video]

UI testing is tedious and time-consuming due to the manual effort required. Recent research has explored opportunities for reusing …

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