4 citations · 4 across the 4 of their papers we have counts for
4 papers
Fine-Tuning BERT for Automatic ADME Semantic Labeling in FDA Drug Labeling to Enhance Product-Specific Guidance Assessment
Yiwen Shi, Jing Wang, Ping Ren +4
Product-specific guidances (PSGs) recommended by the United States Food and Drug Administration (FDA) are instrumental to promote and guide generic drug product development. To ass…
Two-Stage Fine-Tuning: A Novel Strategy for Learning Class-Imbalanced Data
Taha ValizadehAslani, Yiwen Shi, Jing Wang +5
Classification on long-tailed distributed data is a challenging problem, which suffers from serious class-imbalance and hence poor performance on tail classes with only a few sampl…
How is Vaping Framed on Online Knowledge Dissemination Platforms?
Keyu Chen, Yiwen Shi, Jun Luo +7
We analyze 1,888 articles and 1,119,453 vaping posts to study how vaping is framed across multiple knowledge dissemination platforms (Wikipedia, Quora, Medium, Reddit, Stack Exchan…
US News and Social Media Framing around Vaping
Keyu Chen, Marzieh Babaeianjelodar, Yiwen Shi +9
In this paper, we investigate how vaping is framed differently (2008-2021) between US news and social media. We analyze 15,711 news articles and 1,231,379 Facebook posts about vapi…