Ruiyi Yang

Orcid: 0009-0005-2324-6593

According to our database1, Ruiyi Yang authored at least 16 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
Divide by Question, Conquer by Agent: SPLIT-RAG with Question-Driven Graph Partitioning.
CoRR, May, 2025

KG-IRAG: A Knowledge Graph-Based Iterative Retrieval-Augmented Generation Framework for Temporal Reasoning.
CoRR, March, 2025

Self-Supervised Joint Representation Learning for Urban Land-Use Classification With Multisource Geographic Data.
IEEE Trans. Geosci. Remote. Sens., 2025

Gaussian Process Regression under Computational and Epistemic Misspecification.
SIAM J. Numer. Anal., 2025

2024
Optimization on Manifolds via Graph Gaussian Processes.
SIAM J. Math. Data Sci., March, 2024

SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding.
Proceedings of the ACM on Web Conference 2024, 2024

Urban Land-Use Classification with Multi-Source Self-Supervised Representation Learning and Correlation Modeling.
Proceedings of the IGARSS 2024, 2024

2023
Discrete-continuous model for facility location problem with capacity-cost relation constraints.
Comput. Ind. Eng., November, 2023

A Linear Programming Approach for Maximum Integral Multiflow and Minimum Multicut Problems in Unrestricted Network.
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.
Proceedings of the 28th International Conference on Automation and Computing, 2023

2022
Finite Element Representations of Gaussian Processes: Balancing Numerical and Statistical Accuracy.
SIAM/ASA J. Uncertain. Quantification, 2022

Unlabeled Data Help in Graph-Based Semi-Supervised Learning: A Bayesian Nonparametrics Perspective.
J. Mach. Learn. Res., 2022

Mathematical Foundations of Graph-Based Bayesian Semi-Supervised Learning.
CoRR, 2022

2020
Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds.
SIAM/ASA J. Uncertain. Quantification, 2020

The SPDE Approach to Matérn Fields: Graph Representations.
CoRR, 2020

2019
Local Regularization of Noisy Point Clouds: Improved Global Geometric Estimates and Data Analysis.
J. Mach. Learn. Res., 2019


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