Följ
Rose Yu
Rose Yu
Associate Professor, University of California, San Diego
Verifierad e-postadress på ucsd.edu - Startsida
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Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
Y Li, R Yu, C Shahabi, Y Liu
International Conference on Learning Representations (ICLR), 2018
43272018
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
5342017
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
5112021
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
4242020
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
3572019
Long-term forecasting with tide: Time-series dense encoder
A Das, W Kong, A Leach, S Mathur, R Sen, R Yu
arXiv preprint arXiv:2304.08424, 2023
2972023
Long-term forecasting using higher order tensor RNNs
R Yu, S Zheng, A Anandkumar, Y Yue
Journal of Machine Learning Research (JMLR), 2017
263*2017
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
2492022
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
233*2014
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
2202016
Incorporating symmetry into deep dynamics models for improved generalization
R Wang, R Walters, R Yu
International Conference on Learning Representations (ICLR), 2020
2052020
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
1902015
Naomi: Non-autoregressive multiresolution sequence imputation
Y Liu, R Yu, S Zheng, E Zhan, Y Yue
Advances in Neural Information Processing Systems, 2019
1862019
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
1732019
SELFIES and the future of molecular string representations
M Krenn, Q Ai, S Barthel, N Carson, A Frei, NC Frey, P Friederich, ...
Patterns 3 (10), 2022
1512022
Diffusion convolutional recurrent neural network: Data-driven traffic forecasting. arXiv 2017
Y Li, R Yu, C Shahabi, Y Liu
arXiv preprint arXiv:1707.01926, 2017
1462017
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
1252017
A Survey on Social Media Anomaly Detection
R Yu, H Qiu, Z Wen, CY Lin, Y Liu
arXiv preprint arXiv:1601.01102, 2015
1172015
Artificial intelligence for science in quantum, atomistic, and continuum systems
X Zhang, L Wang, J Helwig, Y Luo, C Fu, Y Xie, M Liu, Y Lin, Z Xu, K Yan, ...
arXiv preprint arXiv:2307.08423, 2023
1162023
A feasible nonconvex relaxation approach to feature selection.
C Gao, N Wang, QR Yu, Z Zhang
AAAI, 356-361, 2011
1102011
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Artiklar 1–20