Publications (290+ citations) (Google Scholar)

• Book
• Jun-Wei Lin and Hubert Lin (2018), "Web Scraping and Data Analysis with Python (in Chinese)," DrMaster Press. (Best Seller of the Month)
• Conference Papers
• Navid Salehnamadi, Abdulaziz Alshayban, Jun-Wei Lin, Iftekhar Ahmed, Stacy Branham, and Sam Malek, "Latte: Use-Case and Assistive-Service Driven Automated Accessibility Testing Framework for Android," 2021 ACM SIGCHI Conference on Human Factors in Computing Systems (CHI 2021) (26% acceptance rate)
• Jun-Wei Lin, Navid Salehnamadi, and Sam Malek, "Test Automation in Open-Source Android Apps: A Large-Scale Empirical Study," 35th International Conference on Automated Software Engineering (ASE 2020), Virtual Event, Australia, September 2020. (23% acceptance rate) (pdf, slides)
• 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, USA, Nov. 2019. (21% acceptance rate) (pdf, slides)
• 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, slides)
• 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, slides)
• 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, slides)
• 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 (670+ stars and 350+ forks on GitHub)

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 on 40K data points of infrared information.

PTT Web Crawler (380+ Stars and 200+ forks on GitHub)

A Python 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 Django website hosted on AWS, parsing and visualizing open data from Taiwan's government.

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 best answers for 44K questions on Stack Overflow. Outperformed baseline by 8.5%. (report)

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)

Online Course: Web Crawling with Python (1100+ students)

Designed and lectured an online course about web scraping technologies including Beautiful Soup, Requests, RESTful APIs and Selenium.