עקוב אחר
Rose Yu
Rose Yu
Associate Professor, University of California, San Diego
כתובת אימייל מאומתת בדומיין ucsd.edu - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting‏
Y Li, R Yu, C Shahabi, Y Liu‏
International Conference on Learning Representations (ICLR), 2018‏
40652018
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
5182017
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
4712021
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
4012020
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
3362019
Long-term forecasting using higher order tensor RNNs‏
R Yu, S Zheng, A Anandkumar, Y Yue‏
Journal of Machine Learning Research (JMLR), 2017‏
256*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
2302022
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
228*2014
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
2222023
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
2182016
Incorporating symmetry into deep dynamics models for improved generalization‏
R Wang, R Walters, R Yu‏
International Conference on Learning Representations (ICLR), 2020‏
1942020
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
1882015
Naomi: Non-autoregressive multiresolution sequence imputation‏
Y Liu, R Yu, S Zheng, E Zhan, Y Yue‏
Advances in Neural Information Processing Systems, 2019‏
1702019
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
1682019
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
1362022
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
1332017
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
1212017
A Survey on Social Media Anomaly Detection‏
R Yu, H Qiu, Z Wen, CY Lin, Y Liu‏
arXiv preprint arXiv:1601.01102, 2015‏
1142015
A feasible nonconvex relaxation approach to feature selection.‏
C Gao, N Wang, QR Yu, Z Zhang‏
AAAI, 356-361, 2011‏
1062011
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
1022023
המערכת אינה יכולה לבצע את הפעולה כעת. נסה שוב מאוחר יותר.
מאמרים 1–20