Xiangyu Ke

Orcid: 0000-0001-8082-7398

Affiliations:

Zhejiang University, Hangzhou, China

According to our database¹, Xiangyu Ke authored at least 52 papers between 2017 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

VikingMem: A Memory Base Management System for Stateful LLM-based Applications.

[BibT_eX]

[DOI]

CoRR, May, 2026

Adaptive Graph Refinement and Label Propagation with LLMs for Cost-Effective Entity Resolution.

[BibT_eX]

[DOI]

CoRR, May, 2026

Efficient graph embedding at scale: optimizing CPU-GPU-SSD integration.

[BibT_eX]

[DOI]

VLDB J., April, 2026

SliceGX: Layer-wise GNN Explanation with Model-slicing.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

GNN Explainers 2.0: User-centric and Data-driven Insights.

[BibT_eX]

[DOI]

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

2025

Reveal Hidden Pitfalls and Navigate Next Generation of Vector Similarity Search from Task-Centric Views.

[BibT_eX]

[DOI]

CoRR, December, 2025

Beyond Relational: Semantic-Aware Multi-Modal Analytics with LLM-Native Query Optimization.

[BibT_eX]

[DOI]

CoRR, November, 2025

Beyond influence: voting theory for opinion maximization.

[BibT_eX]

[DOI]

Arkaprava Saha

Xiangyu Ke

Arijit Khan

Laks V. S. Lakshmanan

VLDB J., September, 2025

Balancing the Blend: An Experimental Analysis of Trade-offs in Hybrid Search.

[BibT_eX]

[DOI]

CoRR, August, 2025

OneDB: A Distributed Multi-Metric Data Similarity Search System.

[BibT_eX]

[DOI]

CoRR, July, 2025

Graph Data Management and Graph Machine Learning: Synergies and Opportunities.

[BibT_eX]

[DOI]

Arijit Khan

Xiangyu Ke

Yinghui Wu

SIGMOD Rec., June, 2025

Accelerating Graph Indexing for ANNS on Modern CPUs.

[BibT_eX]

[DOI]

Proc. ACM Manag. Data, June, 2025

SliceGX: Layer-wise GNN Explanation with Model-slicing.

[BibT_eX]

[DOI]

CoRR, June, 2025

Maximum Inner Product is Query-Scaled Nearest Neighbor.

[BibT_eX]

[DOI]

Proc. VLDB Endow., February, 2025

Cohesiveness-aware Hierarchical Compressed Index for Community Search on Attributed Graphs.

[BibT_eX]

[DOI]

Proc. ACM Manag. Data, February, 2025

Scalable Graph Indexing using GPUs for Approximate Nearest Neighbor Search.

[BibT_eX]

[DOI]

Proc. ACM Manag. Data, 2025

In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration.

[BibT_eX]

[DOI]

Proc. ACM Manag. Data, 2025

Large-Scale Community Key-Member Search: An Efficient Approach Based on Random Walks.

[BibT_eX]

[DOI]

Big Data Min. Anal., 2025

Stitching Inner Product and Euclidean Metrics for Topology-aware Maximum Inner Product Search.

[BibT_eX]

[DOI]

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Empowering Graph-based Approximate Nearest Neighbor Search with Adaptive Awareness Capabilities.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Spectral Subspace Clustering for Attributed Graphs.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

HC-SpMM: Accelerating Sparse Matrix-Matrix Multiplication for Graphs with Hybrid GPU Cores.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

An Interactive Multi-modal Query Answering System with Retrieval-Augmented Large Language Models.

[BibT_eX]

[DOI]

Proc. VLDB Endow., August, 2024

A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over Graphs.

[BibT_eX]

[DOI]

Proc. VLDB Endow., July, 2024

Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment.

[BibT_eX]

[DOI]

Proc. ACM Manag. Data, February, 2024

View-based Explanations for Graph Neural Networks.

[BibT_eX]

[DOI]

Proc. ACM Manag. Data, February, 2024

GTS: GPU-based Tree Index for Fast Similarity Search.

[BibT_eX]

[DOI]

Proc. ACM Manag. Data, 2024

Efficient and effective (k, P)-core-based community search over attributed heterogeneous information networks.

[BibT_eX]

[DOI]

Inf. Sci., 2024

User-friendly, Interactive, and Configurable Explanations for Graph Neural Networks with Graph Views.

[BibT_eX]

[DOI]

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

Scalable Community Search over Large-scale Graphs based on Graph Transformer.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

MUST: An Effective and Scalable Framework for Multimodal Search of Target Modality.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Accelerating Biclique Counting on GPU.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

GPU-Accelerated Batch-Dynamic Subgraph Matching.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

View-based Explanations for Graph Neural Networks (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the 40th International Conference on Data Engineering, ICDE 2024, 2024

Scalable Community Search with Accuracy Guarantee on Attributed Graphs.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Efficient Temporal Butterfly Counting and Enumeration on Temporal Bipartite Graphs.

[BibT_eX]

[DOI]

Proc. VLDB Endow., December, 2023

Efficient and Effective Academic Expert Finding on Heterogeneous Graphs through (<i>k</i>, 𝒫)-Core based Embedding.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, July, 2023

Host Profit Maximization: Leveraging Performance Incentives and User Flexibility.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2023

Most Probable Densest Subgraphs.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Voting-based Opinion Maximization.

[BibT_eX]

[DOI]

Arkaprava Saha

Xiangyu Ke

Arijit Khan

Laks V. S. Lakshmanan

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Effective and Efficient Community Search with Graph Embeddings.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Reliability Maximization in Uncertain Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Multi-relation Graph Summarization.

[BibT_eX]

[DOI]

Xiangyu Ke

Arijit Khan

Francesco Bonchi

ACM Trans. Knowl. Discov. Data, 2022

Academic Expert Finding via $(k, \mathcal{P})$-Core based Embedding over Heterogeneous Graphs.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Reliability Maximization in Uncertain Graphs (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2019

Querying and mining complex graphs : uncertainty and multi-relations

[BibT_eX]

[DOI]

Xiangyu Ke

PhD thesis, 2019

An In-Depth Comparison of s-t Reliability Algorithms over Uncertain Graphs.

[BibT_eX]

[DOI]

Xiangyu Ke

Arijit Khan

Leroy Lim Hong Quan

Proc. VLDB Endow., 2019

Budgeted Reliability Maximization in Uncertain Graphs.

[BibT_eX]

[DOI]

CoRR, 2019

2018

A Demonstration of PERC: Probabilistic Entity Resolution With Crowd Errors.

[BibT_eX]

[DOI]

Xiangyu Ke

Michelle Teo

Arijit Khan

Vijaya Krishna Yalavarthi

Proc. VLDB Endow., 2018

Finding Seeds and Relevant Tags Jointly: For Targeted Influence Maximization in Social Networks.

[BibT_eX]

[DOI]

Xiangyu Ke

Arijit Khan

Gao Cong

Proceedings of the 2018 International Conference on Management of Data, 2018

2017

Probabilistic Entity Resolution with Imperfect Crowd.

[BibT_eX]

[DOI]

Vijaya Krishna Yalavarthi

Xiangyu Ke

Arijit Khan

CoRR, 2017

Select Your Questions Wisely: For Entity Resolution With Crowd Errors.

[BibT_eX]

[DOI]

Vijaya Krishna Yalavarthi

Xiangyu Ke

Arijit Khan

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Xiangyu Ke

Timeline

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