Yao Xuan
Cited by
Cited by
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
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
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
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, 1-52, 2022
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
Sphere2Vec: Multi-Scale Representation Learning over a Spherical Surface for Geospatial Predictions
G Mai, Y Xuan, W Zuo, K Janowicz, N Lao
arXiv preprint arXiv:2201.10489, 2022
Sphere2Vec: Self-Supervised Location Representation Learning on Spherical Surfaces
G Mai, Y Xuan, W Zuo, Y He, S Ermon, J Song, K Janowicz, N Lao
Machine Learning and Polymer Self-Consistent Field Theory in Two Spatial Dimensions
Y Xuan, KT Delaney, HD Ceniceros, GH Fredrickson
arXiv preprint arXiv:2212.10478, 2022
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
Machine Learning and Computational Mathematics: Studies of Accelerating Polymer Phase Discovery and Finding Optimal Policies for a Pandemic
Y Xuan
UC Santa Barbara, 2021
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