Measuring the predictability of life outcomes with a scientific mass collaboration MJ Salganik, I Lundberg, AT Kindel, CE Ahearn, K Al-Ghoneim, ... Proceedings of the National Academy of Sciences 117 (15), 8398-8403, 2020 | 278 | 2020 |
Controlling commercial cooling systems using reinforcement learning J Luo, C Paduraru, O Voicu, Y Chervonyi, S Munns, J Li, C Qian, P Dutta, ... arXiv preprint arXiv:2211.07357, 2022 | 17 | 2022 |
Instagram popularity prediction via neural networks and regression analysis CJ Qian, JD Tang, MA Penza, CM Ferri IEEE Transactions on Multimedia 19, 2017 | 9 | 2017 |
Semi-analytical industrial cooling system model for reinforcement learning Y Chervonyi, P Dutta, P Trochim, O Voicu, C Paduraru, C Qian, ... arXiv preprint arXiv:2207.13131, 2022 | 6 | 2022 |
From discovery to adoption: understanding the ML practitioners’ interpretability journey N Ashtari, R Mullins, C Qian, J Wexler, I Tenney, M Pushkarna Proceedings of the 2023 ACM Designing Interactive Systems Conference, 2304-2325, 2023 | 1 | 2023 |
Predicting bitcoin transactions from blockchain records through recursive clustering C Qian, K Ouyang | 1 | 2015 |
Take it, leave it, or fix it: measuring productivity and trust in human-AI collaboration C Qian, J Wexler Proceedings of the 29th International Conference on Intelligent User …, 2024 | | 2024 |
Understanding the dataset practitioners behind large language model development C Qian, E Reif, M Kahng arXiv preprint arXiv:2402.16611, 2024 | | 2024 |
Automatic histograms: leveraging language models for text dataset exploration E Reif, C Qian, J Wexler, M Kahng arXiv preprint arXiv:2402.14880, 2024 | | 2024 |