Yao Xuan
University of California, Santa Barbara(US)
Publications by Year
Research Areas
Geographic Information Systems Studies, Block Copolymer Self-Assembly, Machine Learning in Materials Science, Robotics and Sensor-Based Localization, Model Reduction and Neural Networks
Most-Cited Works
- → Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting(2019)1,006 cited
- → Towards general-purpose representation learning of polygonal geometries(2022)39 cited
- → Sphere2Vec: A general-purpose location representation learning over a spherical surface for large-scale geospatial predictions(2023)35 cited
- → Machine learning and polymer self-consistent field theory in two spatial dimensions(2023)10 cited
- → Optimal Policies for a Pandemic: A Stochastic Game Approach and a Deep Learning Algorithm(2020)6 cited
- → Real-Time Stress Field Prediction of Umbilical Based on PyEf-U-Net Convolutional Neural Network(2023)3 cited
- → A Study on the Evolution Law of the Early Nonlinear Plastic Shock Response of a Ship Subjected to Underwater Explosions(2025)1 cited
- → Machine-learning accelerated density-explicit polymer field theory simulations(2026)