Ruiyi Yang

According to our database, Ruiyi Yang authored at least 13 papers between 2019 and 2024.

Collaborative distances:

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

2024

Optimization on Manifolds via Graph Gaussian Processes.

Hwanwoo Kim, Daniel Sanz-Alonso, Ruiyi Yang

SIAM J. Math. Data Sci., March, 2024

SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding.

Ruiyi Yang, Flora D. Salim, Hao Xue

Proceedings of the ACM on Web Conference 2024, 2024

Urban Land-Use Classification with Multi-Source Self-Supervised Representation Learning and Correlation Modeling.

Ruiyi Yang, Yu Su, Yanfei Zhong

Proceedings of the IGARSS 2024, 2024

2023

Discrete-continuous model for facility location problem with capacity-cost relation constraints.

Runze Zhao, Yiyong Xiao, Rui Luo, Ruiyi Yang, Shenghan Zhou, Siyue Zhang

Comput. Ind. Eng., November, 2023

Gaussian Process Regression under Computational and Epistemic Misspecification.

Daniel Sanz-Alonso, Ruiyi Yang

CoRR, 2023

A Linear Programming Approach for Maximum Integral Multiflow and Minimum Multicut Problems in Unrestricted Network.

Siyue Zhang, Yiyong Xiao, Xinhao Cui, Ruiyi Yang

Proceedings of the 28th International Conference on Automation and Computing, 2023

A Joint Order Cost Optimization Model for Multi-Item Spare Parts Manufacturing Systems Considering the Requirement of Support Probability.

Xinhao Cui, Ruiyi Yang, Siyue Zhang, Yiyong Xiao

Proceedings of the 28th International Conference on Automation and Computing, 2023

2022

Finite Element Representations of Gaussian Processes: Balancing Numerical and Statistical Accuracy.

Daniel Sanz-Alonso, Ruiyi Yang

SIAM/ASA J. Uncertain. Quantification, 2022

Unlabeled Data Help in Graph-Based Semi-Supervised Learning: A Bayesian Nonparametrics Perspective.

Daniel Sanz-Alonso, Ruiyi Yang

J. Mach. Learn. Res., 2022

Mathematical Foundations of Graph-Based Bayesian Semi-Supervised Learning.

Nicolás García Trillos, Daniel Sanz-Alonso, Ruiyi Yang

CoRR, 2022

2020

Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds.

John Harlim, Daniel Sanz-Alonso, Ruiyi Yang

SIAM/ASA J. Uncertain. Quantification, 2020

The SPDE Approach to Matérn Fields: Graph Representations.

Daniel Sanz-Alonso, Ruiyi Yang

CoRR, 2020

2019

Local Regularization of Noisy Point Clouds: Improved Global Geometric Estimates and Data Analysis.

Nicolás García Trillos, Daniel Sanz-Alonso, Ruiyi Yang

J. Mach. Learn. Res., 2019