20162019

Research output per year

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Personal profile

Biography

Chunyang is a lecturer in Faculty of Information Technology, Monash University, Australia. He obtained his Ph.D from School of Computer Science and Engineering, Nanyang Technological University (NTU), Singapore. You can find more information from my personal page.

His research focuses on Mining Software Repositories, Automated Software Development, Deep Learning, and Human-Computer Interaction. Specifically, he applies AI/ML, NLP and program analysis technology in the following three directions:

1. AI-assisted Automated Mobile App Development

  • App Usability/Accessibility Testing

                   e.g., Can mobile apps be more accessible for people with visual impairments? (ICSE’20)

                   e.g., How to test the animation effect of the running apps? (ICSE’20)

  • Automate App UI Design & Implementation

                   e.g., How to generate front-end code for the UI design? (ICSE’18)

                   e.g., How to statically get the storyboard of Android apps? (ICSE’19)

                   e.g., How to help designer get inspiration for UI design? (CSCW’20)

 

2. (AI-empowered) Mining Software Repository

  • Ensuring the quality of Q&A platform

                   e.g., How to extract word deviations from unstructured text? (ICSE’17)

                   e.g., Can collaborative editing in Q&A posts be automated by deep learning? (CSCW’17)

                   e.g., How to spot potential issues of the post before its release? (CSCW’18)

  • Mining Similar Technologies for Software Migration

                   e.g., Can similar third-party libraries be mined from Stack Overflow? (SANER’16)

                   e.g., How to search English programming questions by Chinese queries? (ASE’16)

                   e.g., How to distil the difference between similar software technologies? (ASE’18) 

                   e.g., Can similar APIs be mined from GitHub? (TSE’19)

 

3. Testing Deep Neural Network

                   e.g., How to ensure the robustness of neural network? (ASE’18)

Research area keywords

  • Software Engineering
  • Deep Learning
  • Text mining
  • Human computer interaction, multimedia

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output

ActionNet: vision-based workflow action recognition from programming screencasts

Zhao, D., Xing, Z., Chen, C., Xia, X. & Li, G., 2019, Proceedings - 2019 IEEE/ACM 41st International Conference on Software Engineering, ICSE 2019. Bultan, T. & Whittle, J. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 350-361 12 p. 8811922

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

1 Citation (Scopus)

A neural model for method name generation from functional description

Gao, S., Chen, C., Xing, Z., Ma, Y., Song, W. & Lin, S-W., 2019, SANER ’19 - Proceedings of the 2019 IEEE 26th International Conference on Software Analysis, Evolution, and Reengineering: February 24-27, 2019 Hangzhou, China. Wang, X., Lo, D. & Shihab, E. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 411-421 11 p. 8667994

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

2 Citations (Scopus)

Domain-specific machine translation with recurrent neural network for software localization

Wang, X., Chen, C. & Xing, Z., Dec 2019, In : Empirical Software Engineering. 24, 6, p. 3514-3545 32 p.

Research output: Contribution to journalArticleResearchpeer-review

Easy-to-deploy API extraction by multi-level feature embedding and transfer learning

Ma, S., Xing, Z., Chen, C., Chen, C., Qu, L. & Li, G., 11 Oct 2019, (Accepted/In press) In : IEEE Transactions on Software Engineering. 15 p.

Research output: Contribution to journalArticleResearchpeer-review

Gallery D.C. design search and knowledge discovery through auto-created GUI component gallery

Chen, C., Feng, S., Xing, Z., Liu, L., Zhao, S. & Wang, J., 2019, Proceedings of the ACM on Human-Computer Interaction. Lampe, C. (ed.). CSCW ed. New York NY USA: Association for Computing Machinery (ACM), 22 p. 180. (Proceedings of the ACM on Human-Computer Interaction; vol. 3).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review