| Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting Y Li, R Yu, C Shahabi, Y Liu International Conference on Learning Representations (ICLR), 2018 | 2227 | 2018 |
| Deep learning: A generic approach for extreme condition traffic forecasting R Yu, Y Li, C Shahabi, U Demiryurek, Y Liu Proceedings of the 2017 SIAM international Conference on Data Mining, 777-785, 2017 | 407 | 2017 |
| Towards physics-informed deep learning for turbulent flow prediction R Wang, K Kashinath, M Mustafa, A Albert, R Yu Proceedings of the 26th ACM SIGKDD international conference on Knowledge …, 2020 | 257 | 2020 |
| Neural lander: Stable drone landing control using learned dynamics G Shi, X Shi, M O’Connell, R Yu, K Azizzadenesheli, A Anandkumar, ... 2019 International Conference on Robotics and Automation (ICRA), 9784-9790, 2019 | 209 | 2019 |
| Long-term forecasting using higher order tensor RNNs R Yu, S Zheng, A Anandkumar, Y Yue arXiv preprint arXiv:1711.00073, 2017 | 196* | 2017 |
| Physics-informed machine learning: case studies for weather and climate modelling K Kashinath, M Mustafa, A Albert, JL Wu, C Jiang, S Esmaeilzadeh, ... Philosophical Transactions of the Royal Society A 379 (2194), 20200093, 2021 | 193 | 2021 |
| Latent Space Model for Road Networks to Predict Time-Varying Traffic D Deng, C Shahabi, U Demiryurek, L Zhu, R Yu, Y Liu Proceedings of the 22nd ACM SIGKDD international conference on Knowledge …, 2016 | 190 | 2016 |
| Fast Multivariate Spatio-Temporal Analysis via Low-Rank Tensor Learning R Yu, MT Bahadori, Y Liu Advances in Neural Information Processing Systems, 3491-3499, 2014 | 187* | 2014 |
| GLAD: group anomaly detection in social media analysis R Yu, X He, Y Liu ACM Transactions on Knowledge Discovery from Data (TKDD) 10 (2), 18, 2015 | 171 | 2015 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 | 151 | 2022 |
| Understanding the representation power of graph neural networks in learning graph topology N Dehmamy, AL Barabási, R Yu Advances in Neural Information Processing Systems, 2019 | 118 | 2019 |
| Incorporating symmetry into deep dynamics models for improved generalization R Wang, R Walters, R Yu International Conference on Learning Representations (ICLR), 2020 | 112 | 2020 |
| Graph convolutional recurrent neural network: Data-driven traffic forecasting Y Li, R Yu, C Shahabi, Y Liu arXiv preprint arXiv:1707.01926 7 (8), 2017 | 94 | 2017 |
| Naomi: Non-autoregressive multiresolution sequence imputation Y Liu, R Yu, S Zheng, E Zhan, Y Yue Advances in Neural Information Processing Systems, 2019 | 93 | 2019 |
| A Survey on Social Media Anomaly Detection R Yu, H Qiu, Z Wen, CY Lin, Y Liu arXiv preprint arXiv:1601.01102, 2015 | 91 | 2015 |
| A feasible nonconvex relaxation approach to feature selection. C Gao, N Wang, QR Yu, Z Zhang AAAI, 356-361, 2011 | 86 | 2011 |
| International conference on learning representations Y Li, R Yu, C Shahabi, Y Liu ICLR, 2018 | 85 | 2018 |
| Learning from Multiway Data: Simple and Efficient Tensor Regression R Yu, Y Liu Proceedings of the 33rd International Conference on Machine Learning (ICML-16), 2016 | 71 | 2016 |
| Accelerated online low rank tensor learning for multivariate spatiotemporal streams R Yu, D Cheng, Y Liu International conference on machine learning, 238-247, 2015 | 70 | 2015 |
| Diffusion convolutional recurrent neural network: Data-driven traffic forecasting. arXiv 2017 Y Li, R Yu, C Shahabi, Y Liu arXiv preprint arXiv:1707.01926, 0 | 68 | |
Yan LiuProfessor, Director of Machine Learning [email protected]在 usc.edu 的电子邮件经过验证
