A3: An Extensible Platform for Application-Aware Anonymity. - Micah Sherr; Andrew Mao; William R. Marczak; Wenchao Zhou; Boon Thau Loo; Matt Blaze (NDSS, 2010)

Adaptive Polling for Information Aggregation. - Thomas Pfeiffer 003; Xi Alice Gao; Yiling Chen 001; Andrew Mao; David G. Rand (AAAI, 2012)

TurkServer: Enabling Synchronous and Longitudinal Online Experiments. - Andrew Mao; Yiling Chen 001; Krzysztof Z. Gajos; David C. Parkes; Ariel D. Procaccia; Haoqi Zhang (HCOMP@AAAI, 2012)

Social Choice for Human Computation. - Andrew Mao; Ariel D. Procaccia; Yiling Chen 001 (HCOMP@AAAI, 2012)

Better Human Computation Through Principled Voting. - Andrew Mao; Ariel D. Procaccia; Yiling Chen 001 (AAAI, 2013)

Volunteering Versus Work for Pay: Incentives and Tradeoffs in Crowdsourcing. - Andrew Mao; Ece Kamar; Yiling Chen 001; Eric Horvitz; Megan E. Schwamb; Chris J. Lintott; Arfon M. Smith (HCOMP, 2013)

Why Stop Now? Predicting Worker Engagement in Online Crowdsourcing. - Andrew Mao; Ece Kamar; Eric Horvitz (HCOMP, 2013)

Capturing Cognitive Aspects of Human Judgment. - Andrew Mao; Hossein Azari Soufiani; Yiling Chen 001; David C. Parkes (CoRR, 2013)

Trick or treat: putting peer prediction to the test. - Xi Alice Gao; Andrew Mao; Yiling Chen 001; Ryan Prescott Adams (EC, 2014)

The design and implementation of the A3 application-aware anonymity platform. - Micah Sherr; Harjot Gill; Taher Saeed; Andrew Mao; William R. Marczak; Saravana Soundararajan; Wenchao Zhou; Boon Thau Loo; Matt Blaze (Comput. Networks, 2014)

Toward a Quantitative Understanding of Teamwork and Collective Intelligence. - Andrew Mao (AAAI Spring Symposia, 2016)

Design of a wearable FMG sensing system for user intent detection during hand rehabilitation with a soft robotic glove. - Hong Kai Yap; Andrew Mao; James C. H. Goh; Chen-Hua Yeow (BioRob, 2016)

Do physicists stop searches too early? A remote-science, optimization landscape investigation. - Robert Heck; Oana Vuculescu; Jens Jakob W. H. Sørensen; Jonathan Zoller; Morten Ginnerup Andreasen; Mark G. Bason; Poul Ejlertsen; Ottó Elíasson; Pinja Haikka; Jens S. Laustsen; Lærke L. Nielsen; Andrew Mao; et al. (CoRR, 2017)

Cheater's Bowl: Human vs. Computer Search Strategies for Open-Domain QA. - Wanrong He; Andrew Mao; Jordan L. Boyd-Graber (EMNLP (Findings), 2022)

Cheater's Bowl: Human vs. Computer Search Strategies for Open-Domain Question Answering. - Wanrong He; Andrew Mao; Jordan L. Boyd-Graber (CoRR, 2022)

Unbiased Neural Networks for Parameter Estimation in Quantitative MRI. - Andrew Mao; Sebastian Flassbeck; Jakob Assländer (CoRR, 2023)

Improving the TENOR of Labeling: Re-evaluating Topic Models for Content Analysis. - Zongxia Li; Andrew Mao; Daniel Kofi Stephens; Pranav Goel 001; Emily Walpole; Alden Dima; Juan Fung; Jordan L. Boyd-Graber (EACL (1), 2024)

Beyond Automated Evaluation Metrics: Evaluating Topic Models On Practical Social Science Content Analysis Tasks. - Zongxia Li; Andrew Mao; Daniel Kofi Stephens; Pranav Goel 001; Emily Walpole; Alden Dima; Juan Fung; Jordan L. Boyd-Graber (CoRR, 2024)

Cramér-Rao Bound Optimized Subspace Reconstruction in Quantitative MRI. - Andrew Mao; Sebastian Flassbeck; Cem Gultekin; Jakob Assländer (IEEE Trans. Biomed. Eng., 2025)