| Deep computational phenotyping Z Che, D Kale, W Li, MT Bahadori, Y Liu Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 327 | 2015 |
| Mechanix: A sketch-based tutoring system for statics courses S Valentine, F Vides, G Lucchese, D Turner, H Kim, W Li, J Linsey, ... Proceedings of the AAAI Conference on Artificial Intelligence 26 (2), 2253-2260, 2012 | 77 | 2012 |
| Scalable MCMC for mixed membership stochastic blockmodels W Li, S Ahn, M Welling Artificial Intelligence and Statistics, 723-731, 2016 | 58 | 2016 |
| Causal phenotype discovery via deep networks DC Kale, Z Che, MT Bahadori, W Li, Y Liu, R Wetzel AMIA Annual Symposium Proceedings 2015, 677, 2015 | 41 | 2015 |
| Physics-informed data-driven models to predict surface runoff water quantity and quality in agricultural fields J Liang, W Li, SA Bradford, J Šimůnek Water 11 (2), 200, 2019 | 37 | 2019 |
| Mechanix: a sketch-based tutoring and grading system for free-body diagrams S Valentine, F Vides, G Lucchese, D Turner, H Kim, W Li, J Linsey, ... AI magazine 34 (1), 55-55, 2013 | 37 | 2013 |
| Recognizing text through sound alone W Li, T Hammond Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 1481-1486, 2011 | 17 | 2011 |
| Scalable overlapping community detection I El-Helw, R Hofman, W Li, S Ahn, M Welling, H Bal 2016 IEEE International Parallel and Distributed Processing Symposium …, 2016 | 12 | 2016 |
| Metric learning for ordinal data Y Shi, W Li, F Sha Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 12 | 2016 |
| Using scribble gestures to enhance editing behaviors of sketch recognition systems W Li, T Hammond CHI'12 Extended Abstracts on Human Factors in Computing Systems, 2213-2218, 2012 | 12 | 2012 |
| Time series feature learning with applications to health care Z Che, S Purushotham, D Kale, W Li, MT Bahadori, R Khemani, Y Liu Mobile Health: Sensors, Analytic Methods, and Applications, 389-409, 2017 | 7 | 2017 |
| Unifying Local and Global Change Detection in Dynamic Networks W Li, D Guo, GV Steeg, A Galstyan arXiv preprint arXiv:1710.03035, 2017 | | 2017 |
| Path-Based Learning for Plant Domain Knowledge Graph C Dong, H Du, Y Du, Y Chen, W Li, M Zhao Knowledge Graph and Semantic Computing. Language, Knowledge, and …, 2017 | | 2017 |
| Deep Computational Phenotyping D Kale, Z Che, W Li, MT Bahadori, Y Liu | | 2015 |
| AN EFFICIENT APPROACH TO GROUPING SHAPES USING NEIGHBORHOOD GRAPHS W LI, T HAMMOND | | |
Taha BahadoriPrincipal Machine Learning Scientist在 amazon.com 的电子邮件经过验证
