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Yao Xuan
Yao Xuan
Research Scientist at Meta
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Title
Cited by
Cited by
Year
Enhancing the locality and breaking the memory bottleneck of transformer on time series forecasting
S Li, X Jin, Y Xuan, X Zhou, W Chen, YX Wang, X Yan
Advances in neural information processing systems 32, 2019
13662019
Towards general-purpose representation learning of polygonal geometries
G Mai, C Jiang, W Sun, R Zhu, Y Xuan, L Cai, K Janowicz, S Ermon, ...
GeoInformatica 27 (2), 289-340, 2023
192023
Deep learning and self-consistent field theory: A path towards accelerating polymer phase discovery
Y Xuan, KT Delaney, HD Ceniceros, GH Fredrickson
Journal of Computational Physics 443, 110519, 2021
182021
Sphere2Vec: A general-purpose location representation learning over a spherical surface for large-scale geospatial predictions
G Mai, Y Xuan, W Zuo, Y He, J Song, S Ermon, K Janowicz, N Lao
ISPRS Journal of Photogrammetry and Remote Sensing 202, 439-462, 2023
17*2023
Optimal policies for a pandemic: A stochastic game approach and a deep learning algorithm
Y Xuan, R Balkin, J Han, R Hu, HD Ceniceros
Mathematical and Scientific Machine Learning, 987-1012, 2022
122022
Pandemic Control, Game Theory, and Machine Learning
Y Xuan, R Balkin, J Han, R Hu, HD Ceniceros
Notices of the American Mathematical Society 69, 1878-1887, 2022
32022
Machine Learning and Polymer Self-Consistent Field Theory in Two Spatial Dimensions
Y Xuan, KT Delaney, HD Ceniceros, GH Fredrickson
The Journal of Chemical Physics 158 (14), 144103, 2023
22023
Microstructural descriptors for data-driven prediction of energetics and structures of polymer mesophases
D Chen, Y Xuan, K Delaney, H Ceniceros, G Fredrickson
APS March Meeting Abstracts 2022, T16. 012, 2022
2022
Machine Learning and Computational Mathematics: Studies of Accelerating Polymer Phase Discovery and Finding Optimal Policies for a Pandemic
Y Xuan
University of California, Santa Barbara, 2021
2021
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