Ruiyi Yang - RankMe

27 papers A* 2C 1Journal 22Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Beyond Single Pass, Looping Through Time: KG-IRAG with Iterative Knowledge Retrieval. WWW Ruiyi Yang, Hao Xue, Imran Razzak, Flora D. Salim
2026	J	`jnl`	Machine learning-assisted prognosis of multiple myeloma side population cells via SRGs and OCLR stemness index. Comput. Methods Programs Biomed. Xufei Xiang, Ruiyi Yang, Jicong Li, Brian Su, Zefang Xu, Yang An
2025	J	`jnl`	Bayesian Optimization on Networks. CoRR Wenwen Li, Daniel Sanz-Alonso, Ruiyi Yang
2025	J	`jnl`	DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle. CoRR Fangyu Lei, Jinxiang Meng, Yiming Huang, Junjie Zhao, Yitong Zhang, Jianwen Luo, Xin Zou, Ruiyi Yang, Wenbo Shi, Yan Gao, Shizhu He, Zuo Wang, Qian Liu, Yang Wang, Ke Wang, Jun Zhao, Kang Liu
2025	J	`jnl`	Divide by Question, Conquer by Agent: SPLIT-RAG with Question-Driven Graph Partitioning. CoRR Ruiyi Yang, Hao Xue, Imran Razzak, Hakim Hacid, Flora D. Salim
2025	J	`jnl`	Gaussian Process Regression under Computational and Epistemic Misspecification. SIAM J. Numer. Anal. Daniel Sanz-Alonso, Ruiyi Yang
2025	J	`jnl`	Hierarchical Sequence Iteration for Heterogeneous Question Answering. CoRR Ruiyi Yang, Hao Xue, Imran Razzak, Hakim Hacid, Flora D. Salim
2025	J	`jnl`	KG-IRAG: A Knowledge Graph-Based Iterative Retrieval-Augmented Generation Framework for Temporal Reasoning. CoRR Ruiyi Yang, Hao Xue, Imran Razzak, Hakim Hacid, Flora D. Salim
2025	J	`jnl`	Self-Supervised Joint Representation Learning for Urban Land-Use Classification With Multisource Geographic Data. IEEE Trans. Geosci. Remote. Sens. Ruiyi Yang, Yanfei Zhong, Yu Su
2024	J	`jnl`	Optimization on Manifolds via Graph Gaussian Processes. SIAM J. Math. Data Sci. Hwanwoo Kim, Daniel Sanz-Alonso, Ruiyi Yang
2024	A*	`conf`	SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding. WWW Ruiyi Yang, Flora D. Salim, Hao Xue
2024	J	`jnl`	SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding. CoRR Ruiyi Yang, Flora D. Salim, Hao Xue
2024	C	`conf`	Urban Land-Use Classification with Multi-Source Self-Supervised Representation Learning and Correlation Modeling. IGARSS Ruiyi Yang, Yu Su, Yanfei Zhong
2023	—	`conf`	A Joint Order Cost Optimization Model for Multi-Item Spare Parts Manufacturing Systems Considering the Requirement of Support Probability. ICAC Xinhao Cui, Ruiyi Yang, Siyue Zhang, Yiyong Xiao
2023	—	`conf`	A Linear Programming Approach for Maximum Integral Multiflow and Minimum Multicut Problems in Unrestricted Network. ICAC Siyue Zhang, Yiyong Xiao, Xinhao Cui, Ruiyi Yang
2023	J	`jnl`	Discrete-continuous model for facility location problem with capacity-cost relation constraints. Comput. Ind. Eng. Runze Zhao, Yiyong Xiao, Rui Luo, Ruiyi Yang, Shenghan Zhou, Siyue Zhang
2023	J	`jnl`	Gaussian Process Regression under Computational and Epistemic Misspecification. CoRR Daniel Sanz-Alonso, Ruiyi Yang
2022	J	`jnl`	Finite Element Representations of Gaussian Processes: Balancing Numerical and Statistical Accuracy. SIAM/ASA J. Uncertain. Quantification Daniel Sanz-Alonso, Ruiyi Yang
2022	J	`jnl`	Mathematical Foundations of Graph-Based Bayesian Semi-Supervised Learning. CoRR Nicolás García Trillos, Daniel Sanz-Alonso, Ruiyi Yang
2022	J	`jnl`	Optimization on Manifolds via Graph Gaussian Processes. CoRR Hwanwoo Kim, Daniel Sanz-Alonso, Ruiyi Yang
2022	J	`jnl`	Unlabeled Data Help in Graph-Based Semi-Supervised Learning: A Bayesian Nonparametrics Perspective. J. Mach. Learn. Res. Daniel Sanz-Alonso, Ruiyi Yang
2021	J	`jnl`	Finite Element Representations of Gaussian Processes: Balancing Numerical and Statistical Accuracy. CoRR Daniel Sanz-Alonso, Ruiyi Yang
2020	J	`jnl`	Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds. SIAM/ASA J. Uncertain. Quantification John Harlim, Daniel Sanz-Alonso, Ruiyi Yang
2020	J	`jnl`	The SPDE Approach to Matérn Fields: Graph Representations. CoRR Daniel Sanz-Alonso, Ruiyi Yang
2019	J	`jnl`	Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds. CoRR John Harlim, Daniel Sanz-Alonso, Ruiyi Yang
2019	J	`jnl`	Local Regularization of Noisy Point Clouds: Improved Global Geometric Estimates and Data Analysis. CoRR Nicolás García Trillos, Daniel Sanz-Alonso, Ruiyi Yang
2019	J	`jnl`	Local Regularization of Noisy Point Clouds: Improved Global Geometric Estimates and Data Analysis. J. Mach. Learn. Res. Nicolás García Trillos, Daniel Sanz-Alonso, Ruiyi Yang