Yao Xuan

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 11

Top Topics

Parametric Representation

Long Run Average Cost

Semi Markov Decision Processes

Top Venues

J. Comput. Phys.

Publications

Gengchen Mai, Chiyu Jiang, Weiwei Sun, Rui Zhu, Yao Xuan, Ling Cai, Krzysztof Janowicz, Stefano Ermon, Ni Lao
Towards general-purpose representation learning of polygonal geometries. GeoInformatica 27 (2) (2023)
Gengchen Mai, Yao Xuan, Wenyun Zuo, Yutong He, Jiaming Song, Stefano Ermon, Krzysztof Janowicz, Ni Lao
Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions. CoRR (2023)
Gengchen Mai, Chiyu Jiang, Weiwei Sun, Rui Zhu, Yao Xuan, Ling Cai, Krzysztof Janowicz, Stefano Ermon, Ni Lao
Towards General-Purpose Representation Learning of Polygonal Geometries. CoRR (2022)
Gengchen Mai, Yao Xuan, Wenyun Zuo, Krzysztof Janowicz, Ni Lao
Sphere2Vec: Multi-Scale Representation Learning over a Spherical Surface for Geospatial Predictions. CoRR (2022)
Yao Xuan, Kris T. Delaney, Héctor D. Ceniceros, Glenn H. Fredrickson
Machine Learning and Polymer Self-Consistent Field Theory in Two Spatial Dimensions. CoRR (2022)
Yao Xuan, Robert Balkin, Jiequn Han, Ruimeng Hu, Héctor D. Ceniceros
Pandemic Control, Game Theory and Machine Learning. CoRR (2022)
Yao Xuan, Kris T. Delaney, Héctor D. Ceniceros, Glenn H. Fredrickson
Deep learning and self-consistent field theory: A path towards accelerating polymer phase discovery. J. Comput. Phys. 443 (2021)
Yao Xuan, Robert Balkin, Jiequn Han, Ruimeng Hu, Héctor D. Ceniceros
Optimal Policies for a Pandemic: A Stochastic Game Approach and a Deep Learning Algorithm. MSML (2021)
Yao Xuan, Robert Balkin, Jiequn Han, Ruimeng Hu, Héctor D. Ceniceros
Optimal Policies for a Pandemic: A Stochastic Game Approach and a Deep Learning Algorithm. CoRR (2020)
Shiyang Li, Xiaoyong Jin, Yao Xuan, Xiyou Zhou, Wenhu Chen, Yu-Xiang Wang, Xifeng Yan
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting. NeurIPS (2019)
Shiyang Li, Xiaoyong Jin, Yao Xuan, Xiyou Zhou, Wenhu Chen, Yu-Xiang Wang, Xifeng Yan
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting. CoRR (2019)