Yao Xuan

According to our database, Yao Xuan authored at least 8 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Towards general-purpose representation learning of polygonal geometries.

Gengchen Mai, Chiyu Jiang, Weiwei Sun, Rui Zhu, Yao Xuan, Ling Cai, Krzysztof Janowicz, Stefano Ermon, Ni Lao

GeoInformatica, April, 2023

Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions.

Gengchen Mai, Yao Xuan, Wenyun Zuo, Yutong He, Jiaming Song, Stefano Ermon, Krzysztof Janowicz, Ni Lao

CoRR, 2023

2022

Machine Learning and Polymer Self-Consistent Field Theory in Two Spatial Dimensions.

Yao Xuan, Kris T. Delaney, Héctor D. Ceniceros, Glenn H. Fredrickson

CoRR, 2022

Pandemic Control, Game Theory and Machine Learning.

Yao Xuan, Robert Balkin, Jiequn Han, Ruimeng Hu, Héctor D. Ceniceros

CoRR, 2022

Sphere2Vec: Multi-Scale Representation Learning over a Spherical Surface for Geospatial Predictions.

Gengchen Mai, Yao Xuan, Wenyun Zuo, Krzysztof Janowicz, Ni Lao

CoRR, 2022

2021

Deep learning and self-consistent field theory: A path towards accelerating polymer phase discovery.

Yao Xuan, Kris T. Delaney, Héctor D. Ceniceros, Glenn H. Fredrickson

J. Comput. Phys., 2021

Optimal Policies for a Pandemic: A Stochastic Game Approach and a Deep Learning Algorithm.

Yao Xuan, Robert Balkin, Jiequn Han, Ruimeng Hu, Héctor D. Ceniceros

Proceedings of the Mathematical and Scientific Machine Learning, 2021

2019

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting.

Shiyang Li, Xiaoyong Jin, Yao Xuan, Xiyou Zhou, Wenhu Chen, Yu-Xiang Wang, Xifeng Yan

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019