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  • Ph.D. Candidate in Computer Engineering
    University of Notre Dame, Notre Dame, IN. May 2017 (Expected)
  • M.S. in Information and Communication Engineering
    Xi’an Jiaotong University, Xi’an, China. June 2009
  • B.S. in Information Engineering
    Xi’an Jiaotong University, Xi’an, China. July 2006

Research Experience

  • Research Assistant in Computer Science and Engineering Department, University of Notre Dame. June 2016 – Present

    Semantically Enhanced Software Traceability

    • Designed and implemented accurate trace link generation system that utilizes Recurrent Neural Network (RNN) to extract semantic information from software artifact.
    • Evaluated and compared the performance of different RNN variations with different configurations for the purpose of software traceability.
  • Research Assistant in College of Computing and Digital Media, DePaul University. January 2013 – May 2016

    Domain Ontology Construction

    • Designed and implemented platform utilizing natural language processing and data mining techniques including Syntax Analysis, Association Rule Mining, Topic Modeling, etc. to extract domain knowledge supervised by software traceability data.
    • Ranked generated domain fact to users based on heuristics for creating domain ontology.

    Intelligent Domain-Specific Traceability

    • Designed and implemented natural language processing algorithm to extract semantic information representing software key functions from software artifacts such as requirement specifications, design descriptions.
    • Designed knowledge base containing domain specific concepts and relations. Implemented algorithm that queries knowledge base for supporting inference during traceability activities.
    • Designed and implemented intelligent domain specific traceability system that could establish accurate trace links between software artifacts and generate the underlying rationales explaining those links.
  • Researcher in Communication Technology Lab, Fuji Xerox Co., Ltd., June 2009 – July 2011
    • Designed and implemented the image processing algorithm to extract and correct the business card and whiteboard regions from images with complex background.
    • Designed and implemented the fuzzy image comparing algorithm. Developed the corresponding application for Windows, Linux, and OS X.
    • Implemented new image processing modules and modified existing modules to improve performances for the image processing platform which is used throughout Fuji Xerox.
  • Visiting Research Fellow in Communication Technology Lab, Fuji Xerox Co., Ltd., October 2007 – August 2008
    • Participated in designing and implementing the "Sensing UI" platform (a novel human-computer interface based on 3D tracking technologies) and took in charge of the image processing module.
    • Proposed an improved object model for the current "Sensing UI" prototype and developed its feature extraction algorithm.


  • Guo, J., Cheng, J., Cleland-Huang, J. (2016). Semantically Enhanced Software Traceability Using Deep Learning Techniques. Accepted to the 39th International Conference on Software Engineering - ICSE’17. IEEE.
  • Guo, J., Gibiec M., Cleland-Huang, J. (2016). Tackling the Term-Mismatch Problem in Automated Trace Retrieval. In Empirical Software Engineering (pp. 1-40). Springer.
  • Cheng, J., Putnam, C., Guo,  J. (2016). “Always a Tall Order”: Values and Practices of Professional Game Designers of Serious Games for Health. In Proceedings of the 3rd ACM SIGCHI annual symposium on Computer-human interaction in play - CHI PLAY'16 (pp. 217-228). ACM.
  • Guo, J. (2016). Ontology Learning and its Application in Software-Intensive Projects. In Proceedings of the 38th International Conference on Software Engineering - ICSE'16 Companion (pp. 843-846). ACM.
  • Guo, J., Rahimi, M., Cleland-Huang, J., Rasin, A., Hayes J.H., and Vierhauser, M. (2016). Cold-Start Software Analytics. In Proceedings of the 13th International Conference on Mining Software Repositories - MSR'16 (pp. 142-153). ACM.
  • Guo, J., Monaikul, N., and Cleland-Huang, J. (2015). Trace Links Explained: An Automated Approach for Generating Rationales. In Proceedings of the 23st IEEE International Requirements Engineering Conference - RE'15 (pp. 202–207). IEEE.
  • Guo, J., Monaikul, N., Plepel, C., and Cleland-Huang, J. (2014). Towards an intelligent domain-specific traceability solution. In Proceedings of The 29th ACM/IEEE international conference on Automated software engineering - ASE’14 (pp. 755–766). ACM.
  • Cleland-Huang, J., Guo, J. (2014). Towards more intelligent trace retrieval algorithms. In Proceedings of the 3rd International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering - RAISE'14 (pp. 1–6). ACM.
  • Guo, J., Cleland-Huang, J., and Berenbach, B. (2013). Foundations for an expert system in domain-specific traceability. In Proceedings of the 21st IEEE International Requirements Engineering Conference - RE'13 (pp. 42–51). IEEE.
  • Guo, J., Onishi, T. (2014). Subject region detecting apparatus. U.S. Patent 8,805,077, filed November 8, 2011 and issued August 12, 2014.
  • Guo, J., Onishi, T. (2014). Image processing apparatus, image processing method, and computer readable medium. U.S. Patent 8,923,610, filed October 31, 2011 and issued December 30, 2014.

Teaching Experience

  • Guest Lecturer. Coordinated series of debates on Ethics in Drone Use.
    CSE-40773: Software Projects with Drones. University of Notre Dame. Fall, 2016.
  • Guest Lecturer. Lectured on Design Patterns and JavaFX tool, Organized Lab Activities.
    SE350: Object-Oriented Software Development. DePaul University. Spring, 2016.
  • Invited Speaker. Title: Ontology Learning for Software-Intensive Projects.
    CSC 480: Artificial Intelligence. DePaul University. Spring, 2016.
  • Invited Speaker. Title: Towards an Intelligent Domain-Specific Traceability Solution.
    CSC 395: Research Colloquium. DePaul University. Fall, 2014.
  • Project Mentor. Managed and mentored two graduate students who served as research assistants on
    software engineering research projects. DePaul University. 2013-2014.
  • Invited Speaker. Title: The Domain-Specific Expert Traceability System
    CSC 395: Research Colloquium. DePaul University. Fall, 2013.
  • Co-Instructor. Lectured on Image Processing and Pattern Recognition.
    Internal Tutorial. Fuji Xerox. Fall, 2009.

Research Community Activities

  • Program Committee Member, The 25rd IEEE International RE Conference - Data Track, Lisbon, Portugal. 2017
  • Organizing Committee Member, The 1st, 2nd, and 3rd International Workshop on AIRE. 2014-2016.
  • Program Committee Member, The 5th International Workshop on RAISE, Austin, United States. 2016
  • Program Committee Member, The 8th International Symposium on SST, Florence, Italy. 2015.
  • Student Volunteer, ACM SIGSOFT International Symposium on the Foundations of Software Engineering . 2016.
  • Student Volunteer, The 23rd IEEE International RE Conference, Ottawa, Canada. 2015.
  • Student Volunteer, The 19th ACM SIGKDD Conference, Chicago, United States. 2013.
  • Student Volunteer, The 20th IEEE International RE Conference, Chicago, United States. 2012.



  • Development Environments: Visual Studio, Eclipse IDE
  • Operating Systems: Windows, Linux, Mac OS X
  • Programming: Java, C/C++, C#, Matlab
  • Other libraries and tools: Protégé, Octave, OpenCV, GATE, and Qt


  • Proficient in English (TOFEL iBT 115/120)
  • Intermediate in Japanese (Three years working experience in Japan)
  • Native Chinese