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Ruiyi Yang
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2020 – today
- 2024
- [j6]Hwanwoo Kim
, Daniel Sanz-Alonso, Ruiyi Yang
Optimization on Manifolds via Graph Gaussian Processes. SIAM J. Math. Data Sci. 6(1): 1-25 (2024) - [c4]Ruiyi Yang, Yu Su, Yanfei Zhong:
Urban Land-Use Classification with Multi-Source Self-Supervised Representation Learning and Correlation Modeling. IGARSS 2024: 4693-4696 - [c3]Ruiyi Yang
SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding. WWW 2024: 551-559 - [i8]Ruiyi Yang, Flora D. Salim, Hao Xue:
SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding. CoRR abs/2402.12132 (2024) - 2023
- [j5]Runze Zhao
Discrete-continuous model for facility location problem with capacity-cost relation constraints. Comput. Ind. Eng. 185: 109661 (2023) - [c2]Xinhao Cui
A Joint Order Cost Optimization Model for Multi-Item Spare Parts Manufacturing Systems Considering the Requirement of Support Probability. ICAC 2023: 1-6 - [c1]Siyue Zhang, Yiyong Xiao, Xinhao Cui
A Linear Programming Approach for Maximum Integral Multiflow and Minimum Multicut Problems in Unrestricted Network. ICAC 2023: 1-4 - [i7]Daniel Sanz-Alonso, Ruiyi Yang:
Gaussian Process Regression under Computational and Epistemic Misspecification. CoRR abs/2312.09225 (2023) - 2022
- [j4]Daniel Sanz-Alonso, Ruiyi Yang:
Unlabeled Data Help in Graph-Based Semi-Supervised Learning: A Bayesian Nonparametrics Perspective. J. Mach. Learn. Res. 23: 97:1-97:28 (2022) - [j3]Daniel Sanz-Alonso, Ruiyi Yang
Finite Element Representations of Gaussian Processes: Balancing Numerical and Statistical Accuracy. SIAM/ASA J. Uncertain. Quantification 10(4): 1323-1349 (2022) - [i6]Nicolás García Trillos, Daniel Sanz-Alonso, Ruiyi Yang:
Mathematical Foundations of Graph-Based Bayesian Semi-Supervised Learning. CoRR abs/2207.01093 (2022) - [i5]Hwanwoo Kim, Daniel Sanz-Alonso, Ruiyi Yang:
Optimization on Manifolds via Graph Gaussian Processes. CoRR abs/2210.10962 (2022) - 2021
- [i4]Daniel Sanz-Alonso, Ruiyi Yang:
Finite Element Representations of Gaussian Processes: Balancing Numerical and Statistical Accuracy. CoRR abs/2109.02777 (2021) - 2020
- [j2]John Harlim, Daniel Sanz-Alonso, Ruiyi Yang
Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds. SIAM/ASA J. Uncertain. Quantification 8(4): 1414-1445 (2020) - [i3]Daniel Sanz-Alonso, Ruiyi Yang:
The SPDE Approach to Matérn Fields: Graph Representations. CoRR abs/2004.08000 (2020)
2010 – 2019
- 2019
- [j1]Nicolás García Trillos, Daniel Sanz-Alonso, Ruiyi Yang:
Local Regularization of Noisy Point Clouds: Improved Global Geometric Estimates and Data Analysis. J. Mach. Learn. Res. 20: 136:1-136:37 (2019) - [i2]Nicolás García Trillos, Daniel Sanz-Alonso, Ruiyi Yang:
Local Regularization of Noisy Point Clouds: Improved Global Geometric Estimates and Data Analysis. CoRR abs/1904.03335 (2019) - [i1]John Harlim, Daniel Sanz-Alonso, Ruiyi Yang:
Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds. CoRR abs/1910.10669 (2019)
Coauthor Index
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last updated on 2024-10-07 21:16 CEST by the dblp team
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