Semi-analytical Industrial Cooling System Model for Reinforcement Learning. - Yuri Chervonyi; Praneet Dutta; Piotr Trochim; Octavian Voicu; Cosmin Paduraru; Crystal Qian; Emre Karagozler; Jared Quincy Davis; Richard Chippendale; Gautam Bajaj; Sims Witherspoon; Jerry Luo (CoRR, 2022)

Controlling Commercial Cooling Systems Using Reinforcement Learning. - Jerry Luo; Cosmin Paduraru; Octavian Voicu; Yuri Chervonyi; Scott Munns; Jerry Li; Crystal Qian; Praneet Dutta; Jared Quincy Davis; Ningjia Wu; Xingwei Yang; Chu-Ming Chang; et al. (CoRR, 2022)

From Discovery to Adoption: Understanding the ML Practitioners' Interpretability Journey. - Narges Ashtari; Ryan Mullins; Crystal Qian; James Wexler; Ian Tenney; Mahima Pushkarna (Conference on Designing Interactive Systems, 2023)

Understanding the Dataset Practitioners Behind Large Language Models. - Crystal Qian; Emily Reif; Minsuk Kahng (CHI Extended Abstracts, 2024)

Automatic Histograms: Leveraging Language Models for Text Dataset Exploration. - Emily Reif; Crystal Qian; James Wexler; Minsuk Kahng (CHI Extended Abstracts, 2024)

Take It, Leave It, or Fix It: Measuring Productivity and Trust in Human-AI Collaboration. - Crystal Qian; James Wexler (IUI, 2024)

Understanding the Dataset Practitioners Behind Large Language Model Development. - Crystal Qian; Emily Reif; Minsuk Kahng (CoRR, 2024)

The Moral Turing Test: Evaluating Human-LLM Alignment in Moral Decision-Making. - Basile Garcia; Crystal Qian; Stefano Palminteri (CoRR, 2024)

The Evolution of LLM Adoption in Industry Data Curation Practices. - Crystal Qian; Michael Xieyang Liu; Emily Reif; Grady Simon; Nada Hussein; Nathan Clement; James Wexler; Carrie J. Cai; Michael Terry; Minsuk Kahng (CoRR, 2024)

LLM Adoption in Data Curation Workflows: Industry Practices and Insights. - Crystal Qian; Michael Xieyang Liu; Emily Reif; Grady Simon; Nada Hussein; Nathan Clement; James Wexler; Carrie J. Cai; Michael Terry; Minsuk Kahng (CHI Extended Abstracts, 2025)