| Analysis of protein-coding genetic variation in 60,706 humans M Lek, KJ Karczewski, EV Minikel, KE Samocha, E Banks, T Fennell, ... Nature 536 (7616), 285-291, 2016 | 9578 | 2016 |
| Man is to computer programmer as woman is to homemaker? debiasing word embeddings T Bolukbasi, KW Chang, JY Zou, V Saligrama, AT Kalai Advances in neural information processing systems 29, 2016 | 2692 | 2016 |
| Word embeddings quantify 100 years of gender and ethnic stereotypes N Garg, L Schiebinger, D Jurafsky, J Zou Proceedings of the National Academy of Sciences 115 (16), E3635-E3644, 2018 | 876 | 2018 |
| Interpretation of neural networks is fragile A Ghorbani, A Abid, J Zou Proceedings of the AAAI conference on artificial intelligence 33 (01), 3681-3688, 2019 | 648 | 2019 |
| A primer on deep learning in genomics J Zou, M Huss, A Abid, P Mohammadi, A Torkamani, A Telenti Nature genetics 51 (1), 12-18, 2019 | 575 | 2019 |
| Genome-wide chromatin state transitions associated with developmental and environmental cues J Zhu, M Adli, JY Zou, G Verstappen, M Coyne, X Zhang, T Durham, ... Cell 152 (3), 642-654, 2013 | 566 | 2013 |
| AI can be sexist and racist—it’s time to make it fair J Zou, L Schiebinger Nature 559 (7714), 324-326, 2018 | 544 | 2018 |
| A single-cell transcriptomic atlas characterizes ageing tissues in the mouse Nature 583 (7817), 590-595, 2020 | 519 | 2020 |
| Mopo: Model-based offline policy optimization T Yu, G Thomas, L Yu, S Ermon, JY Zou, S Levine, C Finn, T Ma Advances in Neural Information Processing Systems 33, 14129-14142, 2020 | 446 | 2020 |
| Data shapley: Equitable valuation of data for machine learning A Ghorbani, J Zou International Conference on Machine Learning, 2242-2251, 2019 | 430 | 2019 |
| Locus-specific editing of histone modifications at endogenous enhancers EM Mendenhall, KE Williamson, D Reyon, JY Zou, O Ram, JK Joung, ... Nature biotechnology 31 (12), 1133-1136, 2013 | 427 | 2013 |
| Towards automatic concept-based explanations A Ghorbani, J Wexler, JY Zou, B Kim Advances in Neural Information Processing Systems 32, 2019 | 388 | 2019 |
| Sex and gender analysis improves science and engineering C Tannenbaum, RP Ellis, F Eyssel, J Zou, L Schiebinger Nature 575 (7781), 137-146, 2019 | 379 | 2019 |
| Video-based AI for beat-to-beat assessment of cardiac function D Ouyang, B He, A Ghorbani, N Yuan, J Ebinger, CP Langlotz, ... Nature 580 (7802), 252-256, 2020 | 340 | 2020 |
| Controlling bias in adaptive data analysis using information theory D Russo, J Zou Artificial Intelligence and Statistics, 1232-1240, 2016 | 272* | 2016 |
| Genome-wide analysis reveals conserved and divergent features of Notch1/RBPJ binding in human and murine T-lymphoblastic leukemia cells H Wang, J Zou, B Zhao, E Johannsen, T Ashworth, H Wong, WS Pear, ... Proceedings of the National Academy of Sciences 108 (36), 14908-14913, 2011 | 252 | 2011 |
| Multiaccuracy: Black-box post-processing for fairness in classification MP Kim, A Ghorbani, J Zou Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 247-254, 2019 | 244 | 2019 |
| Epigenome-wide association studies without the need for cell-type composition J Zou, C Lippert, D Heckerman, M Aryee, J Listgarten Nature methods 11 (3), 309-311, 2014 | 243 | 2014 |
| Deep learning interpretation of echocardiograms A Ghorbani, D Ouyang, A Abid, B He, JH Chen, RA Harrington, DH Liang, ... NPJ digital medicine 3 (1), 10, 2020 | 236 | 2020 |
| Religion and HIV in Tanzania: influence of religious beliefs on HIV stigma, disclosure, and treatment attitudes J Zou, Y Yamanaka, M John, M Watt, J Ostermann, N Thielman BMC public health 9, 1-12, 2009 | 234 | 2009 |
