| 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 | 1866 | 2019 |
| 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 | 39 | 2023 |
| 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 | 35* | 2023 |
| 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 | 21 | 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 | 13 | 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 | 4 | 2022 |
| 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 | 3 | 2023 |
| 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 |
