Boyu Ruan

Orcid: 0000-0002-2215-5930

According to our database1, Boyu Ruan authored at least 13 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 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Breaking the Static Graph: Context-Aware Traversal for Robust Retrieval-Augmented Generation.
CoRR, February, 2026

2025
Dynamic Structural Clustering Unleashed: Flexible Similarities, Versatile Updates and for All Parameters.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Efficient Bitruss Decomposition without Butterfly Enumeration.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

2024
Efficient Frequency-Based Randomization for Spatial Trajectories Under Differential Privacy.
IEEE Trans. Knowl. Data Eng., June, 2024

Preserving Location Privacy with Semantic-Aware Indistinguishability.
Proceedings of the Database Systems for Advanced Applications, 2024

2022
Clustering and Cohesive Pattern Mining on Massive Graphs
PhD thesis, 2022

Frequency-based Randomization for Guaranteeing Differential Privacy in Spatial Trajectories.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
Dynamic Structural Clustering on Graphs.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020
Efficient and robust data augmentation for trajectory analytics: a similarity-based approach.
World Wide Web, 2020

Incremental preference adjustment: a graph-theoretical approach.
VLDB J., 2020

2018
Origin-Destination Trajectory Diversity Analysis: Efficient Top-k Diversified Search.
Proceedings of the 19th IEEE International Conference on Mobile Data Management, 2018

Trajectory Set Similarity Measure: An EMD-Based Approach.
Proceedings of the Databases Theory and Applications, 2018

2017
Decomposition-Based Approximation of Time Series Data with Max-Error Guarantees.
Proceedings of the Databases Theory and Applications, 2017


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