Publications (170+ citations) (Google Scholar / ResearchGate)

• Books
• Jun-Wei Lin and Hubert Lin (2018), "Web Scraping and Data Analysis with Python (in Chinese)," DrMaster Press, ISBN: 9789864343386. (link)
• Conference Papers
• Jun-Wei Lin, Reyhaneh Jabbarvand, and Sam Malek, "Test Transfer Across Mobile Apps Through Semantic Mapping," 34th International Conference on Automated Software Engineering (ASE 2019), San Diego, California, USA, Nov. 2019. (21% acceptance rate)
• Reyhaneh Jabbarvand, Jun-Wei Lin, and Sam Malek, "Search-Based Energy Testing of Android," 41st International Conference of Software Engineering (ICSE 2019), Montreal, Canada, May 2019. (21% acceptance rate).
• Jun-Wei Lin, Reyhaneh Jabbarvand, Joshua Garcia, and Sam Malek, "Nemo: Multi-Criteria Test-Suite Minimization with Integer Nonlinear Programming," 40th International Conference of Software Engineering (ICSE 2018), Gothenburg, Sweden, May 2018. (21% acceptance rate). (pdf, ppt)
• Jun-Wei Lin, Farn Wang and Paul Chu, "Using Semantic Similarity in Crawling-Based Web Application Testing," 10th IEEE International Conference on Software Testing, Verifaction and Validation (ICST 2017), Tokyo, Japan, 2017, pp. 138-148 (27% acceptance rate).(pdf, ppt)
• Chi-Yun Wu, Farn Wang, Ming-Hong Weng, and Jun-Wei 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)
• Jun-Wei Lin, Chin-Yu Huang, and Chu-Ti Lin, "Test suite reduction analysis with enhanced tie-breaking techniques," 4th IEEE International Conference on Management of Innovation and Technology, 2008, pp. 1228–1233. (pdf, ppt)
• Journal Papers
• Monica Poelchau, Christopher Childers, Gary Moore, Vijaya Tsavatapalli, Jay Evans, Chien-Yueh Lee, Han Lin, Jun-Wei Lin, and Kevin Hackett, “The i5k Workspace@NAL—enabling genomic data access, visualization and curation of arthropod genomes,” Nucleic Acids Research, Vol. 43, Issue D1, Jan. 2015. (link)
• Jun-Wei Lin and Chin-Yu 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
• Jun-Wei Lin and Farn Wang, "Using Semantic Similarity for Input Topic Identification in Crawling-based Web Application Testing." arXiv: 1608.06549.

Projects (GitHub)

Predicting 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 by 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 (280+ Stars and 150+ forks on GitHub)

A command-line tool to crawl and parse data from PTT, the largest local online community in Taiwan

Bulletin Board for Government Job Opportunities (800+ daily users)

A website parsing and visualizing open data from 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

• SIGSOFT CAPS Travel grant to attend ASE 2019, ACM SIGSOFT, 2019
• SIGSOFT CAPS Travel grant to attend ICSE 2018, ACM SIGSOFT, 2018
• Chair's Award and Graduate Dean's Recruitment Fellowship, UC Irvine, 2016
• Government Fellowship for Studying Abroad, 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)