Revisiting the Relationship Between Fault Detection, Test Adequacy Criteria, and Test Set Size. - Yiqun T. Chen 001; Rahul Gopinath; Anita Tadakamalla; Michael D. Ernst; Reid Holmes; Gordon Fraser 001; Paul Ammann; René Just (ASE, 2020)

Collecting and Reporting Race and Ethnicity Data in HCI. - Yiqun T. Chen 001; Angela D. R. Smith; Katharina Reinecke; Alexandra To (CHI Extended Abstracts, 2022)

rigr: Regression, Inference, and General Data Analysis Tools in R. - Yiqun T. Chen 001; Brian D. Williamson; Taylor Okonek; Charles J. Wolock; Andrew J. Spieker; Travis Y. Hee Wai; James P. Hughes 003; Scott S. Emerson; Amy Willis (J. Open Source Softw., 2022)

Why, when, and from whom: considerations for collecting and reporting race and ethnicity data in HCI. - Yiqun T. Chen 001; Angela D. R. Smith; Katharina Reinecke; Alexandra To (CHI, 2023)

TWIGMA: A dataset of AI-Generated Images with Metadata From Twitter. - Yiqun T. Chen 001; James Y. Zou (NeurIPS, 2023)

Selective inference for k-means clustering. - Yiqun T. Chen 001; Daniela M. Witten (J. Mach. Learn. Res., 2023)

More Powerful Selective Inference for the Graph Fused Lasso. - Yiqun Chen 001; Sean Jewell; Daniela M. Witten (J. Comput. Graph. Stat., 2023)

What's documented in AI? Systematic Analysis of 32K AI Model Cards. - Weixin Liang; Nazneen Rajani; Xinyu Yang 002; Ezinwanne Ozoani; Eric Wu; Yiqun Chen 001; Daniel Scott Smith; James Zou 001 (CoRR, 2024)

Systematic analysis of 32,111 AI model cards characterizes documentation practice in AI. - Weixin Liang; Nazneen Rajani; Xinyu Yang 002; Ezinwanne Ozoani; Eric Wu; Yiqun Chen 001; Daniel Scott Smith; James Zou 001 (Nat. Mac. Intell., 2024)