Xin Ye bio photo

Xin Ye

Ph.D. Student
Electrical Engineering and Computer Science
Ohio University

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Hello, and welcome! My name is Xin Ye. I am a Ph.D. student in Computer Science at Ohio University (OU), advised by Dr. Chang Liu and Dr. Razvan Bunescu.

I has been working in the VITAL Lab as a Research Assistant since I joined OU in August 2010. I am expected to graduate in February 2016.

My research interest focus on applying Information Retrieval and Machine Learning techniques to assist automated Software Engineering tasks.

I also develop educational 3D mobile games for assisting high school teaching in the NSF GK-12 BooKS project.

Before attending OU, I worked as an assistant manager in the Information Technology department of Guangdong Materials Group Corporation from 2008 to 2010.

Before that, I worked as a hardware engineer in ZTE corporation after getting a master and a bachelor degree in Electronic Engineering from Beijing Institute of Technology, where I designed the embedded system of a signal processing system.

Research Interests:

  • Software Engineering: Static Program Analysis, Mining Software Repository, Automated Fault Localization, Text Analytics for Software Engineering, Software Visualization
  • Information Retrieval
  • Big Data
  • Machine Learning
  • Pattern Recognition


  • Xin Ye, Hui Shen, Xiao Ma, Razvan Bunescu, Chang Liu. From Word Embeddings To Document Similarities for Improved Information Retrieval in Software Engineering. Accepted to the 38th International Conference on Software Engineering (ICSE 2016), Austin, TX, May 2016. (Acceptance Rate: 19%, 101 out of 530)

  • Xin Ye, Razvan Bunescu, Chang Liu. Mapping Bug Reports to Relevant Files: A Ranking Model, a Fine-grained Benchmark, and Feature Evaluation, to appear. IEEE Transactions on Software Engineering (TSE), 2015, [doi:10.1109/TSE.2015.2479232]

  • Xin Ye, Razvan Bunescu, Chang Liu. Learning to Rank Relevant Files for Bug Reports using Domain Knowledge. In Proceedings of the 22nd ACM SIGSOFT International Symposium on the Foundations of Software Engineering (FSE 2014), pp. 66-76, Hong Kong, China, November 2014. [pdf] (Acceptance Rate: 22.3%, 61 out of 273)

  • Chang Liu, Xin Ye, En Ye. Source Code Revision History Visualization Tools: Do They Work and What Would it Take to Put Them to Work?. Access, IEEE, vol.2, no., pp.404-426, 2014. [pdf]

  • Tiao J. Chang, John Bentz, Justin Wiseman, Yanhui Fang, Andrew Copley, Chang Liu, Sertac Ozercan, Xin Ye, Nathan Andre, and Qing Zhu. A Sustainable Model for Water Resources and Environmental Education. In Proceedings of International Conference on Sustainable Design, Engineering and Construction (ICSDEC 2012), pp. 955-974, Fort Worth, Texas, USA, November 2012.