Projects per year
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)
Education/Academic qualification
Computer Science, Doctor of Philosophy, Nanyang Technological University
Award Date: 15 Jul 2018
Electronic Engineering, Bachelor of Engineering, Beijing University of Posts and Telecommunications
Award Date: 24 Jun 2014
Research area keywords
- Software Engineering
- Deep Learning
- Text mining
- Human computer interaction, multimedia
Network
Projects
- 1 Active
-
UI2code: Automatically Generating Code for User Interface
Facebook, Inc. (United States)
1/08/20 → 31/07/21
Project: Research
Research output
-
From lost to found: discover missing UI design semantics through recovering missing tags
Chen, C., Feng, S., Liu, Z., Xing, Z. & Zhao, S., Oct 2020, In : Proceedings of the ACM on Human-Computer Interaction. 4, CSCW2, 22 p., 123.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile2 Citations (Scopus) -
Owl Eyes: spotting UI display issues via visual understanding
Liu, Z., Chen, C., Wang, J., Huang, Y., Hu, J. & Wang, Q., 2020, Proceedings - 2020 35th IEEE/ACM International Conference on Automated Software Engineering, ASE 2020. Le Goues, C. & Lo, D. (eds.). New York NY USA: IEEE, Institute of Electrical and Electronics Engineers, p. 398-409 12 p. 9286056Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
2 Citations (Scopus) -
Seenomaly: vision-based linting of GUI animation effects against design-don't guidelines
Zhao, D., Xing, Z., Chen, C., Xu, X., Zhu, L., Li, G. & Wang, J., 2020, Proceedings - 2020 ACM/IEEE 42nd International Conference on Software Engineering, ICSE 2020. Cleland-Huang, J. & Marinov, D. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 1286-1297 12 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
7 Citations (Scopus) -
SimilarAPI: mining analogical APIs for library migration
Chen, C., 2020, Proceedings - 2020 ACM/IEEE 42nd International Conference on Software Engineering: Companion Proceedings, ICSE-Companion 2020. Do, H. & N. Nguyen, T. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 37-40 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other
1 Citation (Scopus) -
Unblind your apps: predicting natural-language labels for mobile gui components by deep learning
Chen, J., Chen, C., Xing, Z., Xu, X., Zhu, L., Li, G. & Wang, J., 2020, Proceedings - 2020 ACM/IEEE 42nd International Conference on Software Engineering, ICSE 2020. Cleland-Huang, J. & Marinov, D. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 322-334 13 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
7 Citations (Scopus)
Prizes
-
ACM SIGSOFT Distinguished Paper Award in ASE'18
Chen, Chunyang (Recipient), Oct 2018
Prize: Prize (including medals and awards)
-
ACM SIGSOFT Distinguished Paper Award in ICSE
Chen, Chunyang (Recipient), Jul 2020
Prize: Prize (including medals and awards)
-
Best Research Paper Award in SANER 2016
Chen, Chunyang (Recipient), Mar 2018
Prize: Prize (including medals and awards)
-
Best Tool Demo Award in ASE'16
Chen, Chunyang (Recipient), Oct 2016
Prize: Prize (including medals and awards)
-
Dean's Award for Research Impact (Economic and Social Impact)
Chen, Chunyang (Recipient), Aug 2020
Prize: Prize (including medals and awards)