Publications (110+ citations) (Google Scholar / ResearchGate)

• Conference Papers
• J.-W. Lin, R. Jabbarvand, J. Garcia, and S. Malek, "Nemo: Multi-Criteria Test-Suite Minimization with Integer Nonlinear Programming," International Conference of Software Engineering (ICSE 2018), Gothenburg, Sweden, May 2018. (21% acceptance rate). (pdf)
• J.-W. Lin, F. Wang and P. Chu, "Using Semantic Similarity in Crawling-Based Web Application Testing," 2017 IEEE International Conference on Software Testing, Verification and Validation (ICST 2017), Tokyo, Japan, 2017, pp. 138-148 (27% acceptance rate).(pdf, ppt)
• C.-Y. Wu, F. Wang, M.-H. Weng, and J.-W. Lin, “Automated Testing of Web Applications with Text Input,” 2015 IEEE International Conference on Progress in Informatics and Computing, Nanjing, 2015, pp. 343-347. (pdf)
• J.-W. Lin, C.-Y. Huang, and C.-T. Lin, “Test suite reduction analysis with enhanced tie-breaking techniques,” in 4th IEEE International Conference on Management of Innovation and Technology, 2008, pp. 1228–1233. (pdf, ppt)
• Journal Papers
• M. Poelchau, C. Childers, G. Moore, V. Tsavatapalli, J. Evans, C.-Y. Lee, H. Lin, J.-W. Lin, and K. Hackett, “The i5k Workspace@NAL—enabling genomic data access, visualization and curation of arthropod genomes,” Nucl. Acids Res., p. gku983, Oct. 2014. (link)
• J.-W. Lin and C.-Y. Huang, “Analysis of test suite reduction with enhanced tie-breaking techniques,” Information and Software Technology, vol. 51, no. 4, pp. 679–690, Apr. 2009. (pdf)
• Others
• J.-W. Lin and F. Wang, “Using Semantic Similarity for Input Topic Identification in Crawling-based Web Application Testing.” arXiv: 1608.06549.

Projects (GitHub)

Predicting the Best Answers for Questions on Stack Overflow

Term project of CS295 Statistical NLP, Winter 2018. Applied various ML models (e.g., Random Forest and XGBoost) and NLP techniques (e.g., Latent Semantic Indexing) to predict the best answers for questions labeled ”Python” on Stack Overflow. Outperformed baseline by 8.5%. (report)

Kaggle Competition: Rainfall Prediction (7/126, top 6%)

Term project of CS273A Machine Learning, Fall 2017. Used ensembles (e.g., Random Forest and XGBoost) and feature engineering (e.g., missing data handling) to predict rainfall based on the infrared information.

AlphaTrip (Hackathon project)

A prototype using natural language processing and machine learning to categorize attractions near Tokyo and schedule trips. Collaboratively developed and demoed at the Big Data X Maker Hackathon, Taipei. (presentation, press)

PTT Web Crawler (150+ Stars and 80+ forks on GitHub)

Crawler and data parser for the web version of PTT, the largest local online community in Taiwan.

Bulletin Board for Government Job Opportunities (700+ daily users)

Data visualization for open data provided by Taiwan's government.

Research Projects

b2g-monkey (Python)

Fully automatic interface crawler and invariant checker for Firefox OS App.
Aug. 2015-Dec. 2015, "Automatic Test Case Generation for HTML5 Apps", Institute for Information Industry, Taiwan.

django-blast (Live site) (Python, Django)

An interactive visualization tool translating texts obtained from sequence similarity searching into sortable and searchable tables and graphs (Collaboratively developed).
May 2014-May 2015, "i5k Workspace@NAL", National Agricultural Library, USDA. (report, paper)

ITRI Cloud Testing Service (Java)

Applied data and behavior mutation to test cases, leveraging computing power provided by ITRI.
Nov. 2013-Feb. 2014, "ITRI Cloud Testing Service", Industrial Technology Research Institute, Taiwan. (report)

Awards

• Chair’s Award and Graduate Dean’s Recruitment Fellowship ($7,500), UC Irvine, 2016
• Government Fellowship for Studying Abroad ($42,000 for 3 years), Ministry of Education, Taiwan, 2014

Courses

• INF211 Software Engineering (A+), INF221 Software Architecture (A+), INF225 Information Retrieval (A+), CS273A Machine Learning (A), CS295 Statistical NLP (A)