Rose Yu

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Citations	10113	9634
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i10-index	59	59

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Rui WangMassachusetts Institute of TechnologyVerified email at mit.edu
Yan LiuProfessor, Director of Machine Learning Center@USCVerified email at usc.edu
Cyrus ShahabiProfessor of Computer Science, University of Southern CaliforniaVerified email at usc.edu
Nima DehmamyIBM ResearchVerified email at ibm.com
YaGuang LiGoogle DeepMindVerified email at google.com
Yisong YueCalifornia Institute of Technology; Asari AI; Latitude AIVerified email at caltech.edu
Mustafa BaniodehWaymoVerified email at google.com
Adrian Albertterrafuse.ai, Massachusetts Institute of Technology, Lawrence Berkeley National LabVerified email at mit.edu
Karthik KashinathPrincipal Scientist & Engineer, NVIDIAVerified email at nvidia.com
Anima AnandkumarCalifornia Institute of Technology and NVIDIAVerified email at caltech.edu
Albert-László BarabásiNortheastern University, Harvard Medical SchoolVerified email at neu.edu
Soon-Jo ChungBren Professor of Control and Dynamical Systems at Caltech; JPL Senior Research ScientistVerified email at caltech.edu
Guanya ShiAssistant Professor, Robotics Institute, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Christopher RéComputer Science, Stanford UniversityVerified email at cs.stanford.edu
Christopher De SaAssistant Professor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Taha BahadoriPrincipal Machine Learning ScientistVerified email at amazon.com
Xinran HeTiktokVerified email at alumni.usc.edu
Naiyan WangXiaomi EVVerified email at xiaomi.com
Zhihua ZhangProfessor of Computer Science, Shanghai Jiao Tong UniversityVerified email at zju.edu.cn
Dehua ChengUniversity of Southern CaliforniaVerified email at usc.edu

Rose Yu

Associate Professor, University of California, San Diego

Verified email at ucsd.edu - Homepage

Machine Learning Computational Sustainability


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting Y Li, R Yu, C Shahabi, Y Liu International Conference on Learning Representations (ICLR), 2018	4098	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	521	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	475	2021
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	402	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	343	2019
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	232	2022
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	230	2023
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
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	218	2016
Incorporating symmetry into deep dynamics models for improved generalization R Wang, R Walters, R Yu International Conference on Learning Representations (ICLR), 2020	197	2020
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	188	2015
Naomi: Non-autoregressive multiresolution sequence imputation Y Liu, R Yu, S Zheng, E Zhan, Y Yue Advances in Neural Information Processing Systems, 2019	173	2019
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	169	2019
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	137	2022
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	133	2017
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	121	2017
A Survey on Social Media Anomaly Detection R Yu, H Qiu, Z Wen, CY Lin, Y Liu arXiv preprint arXiv:1601.01102, 2015	115	2015
A feasible nonconvex relaxation approach to feature selection. C Gao, N Wang, QR Yu, Z Zhang AAAI, 356-361, 2011	106	2011
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	104	2023

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