Sha (Stanley) Lai lais823-AT-bu.edu CV Github

Biography

I am a PhD student in the department of Computer Science (CS) at Boston University (BU) and my advisors are Margrit Betke and Prakash Ishwar from the ECE department.
I received a Bachelor of Science degree in Mathematics at University of Washington (UW) in Seattle in 2016. In my last year at UW, I worked with Sara Billey on building a database called Graphlopedia for publications related to graph theory.
I obtained a Master of Science degree in CS at BU in 2019, and then transferred into the PhD program after the graduation.

Research

My research interests are machine learning, natural language processing, image analysis, and application in medical field.
Currently, I am working in the group of Artificial Intelligence and Emerging Media (AIEM) to study the impact of online information while collaborating with a research team in the Sargent College of Health and Rehabilitation Sciences at BU to predict the recovery of aphasia patients.

Selected Publications

• Jiang, Y., S. Lai, Lei Guo, Prakash Ishwar, Derry Wijaya, and Margrit Betke. "Community Detection of the Framing Element Network: Proposing and Assessing a New Computational Framing Analysis Approach." In 105th Annual Conference of the Association for Education in Journalism and Mass Communication (AEJMC), Detroit, MI. 2022.
• Lai, Sha, Yanru Jiang, Lei Guo, Margrit Betke, Prakash Ishwar, and Derry Tanti Wijaya. "An unsupervised approach to discover media frames." In Proceedings of the LREC 2022 workshop on Natural Language Processing for Political Sciences, pp. 22-31. 2022. URL: https://aclanthology.org/2022.politicalnlp-1.4
• Billot, Anne, Sha Lai, Maria Varkanitsa, Emily J. Braun, Brenda Rapp, Todd B. Parrish, James Higgins et al. "Multimodal neural and behavioral data predict response to rehabilitation in chronic poststroke aphasia." Stroke 53, no. 5 (2022): 1606-1614. DOI: 10.1161/STROKEAHA.121.036749
• Tourni, Isidora, Lei Guo, Taufiq Husada Daryanto, Fabian Zhafransyah, Edward Edberg Halim, Mona Jalal, Boqi Chen et al. "Detecting Frames in News Headlines and Lead Images in US Gun Violence Coverage." In Findings of the Association for Computational Linguistics: EMNLP 2021, pp. 4037-4050. 2021. DOI: 10.18653/v1/2021.findings-emnlp.339
• Lai, Sha, Anne Billot, Maria Varkanitsa, Emily Braun, Brenda Rapp, Todd Parrish, Ajay Kurani et al. "An exploration of machine learning methods for predicting post-stroke aphasia recovery." In The 14th PErvasive Technologies Related to Assistive Environments Conference, pp. 556-564. 2021. DOI: 10.1145/3453892.3461319
• Guo, Lei, Kate Mays, Sha Lai, Mona Jalal, Prakash Ishwar, and Margrit Betke. "Accurate, fast, but not always cheap: Evaluating “crowdcoding” as an alternative approach to analyze social media data." Journalism & Mass Communication Quarterly 97, no. 3 (2020): 811-834. DOI: 10.1177/1077699019891437
• Gu, Yiwen, Murtadha Bahrani, Anne Billot, Sha Lai, Emily J. Braun, Maria Varkanitsa, Julia Bighetto et al. "A machine learning approach for predicting post-stroke aphasia recovery: A pilot study." In Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments, pp. 1-9. 2020 DOI: 10.1145/3389189.3389204