Xiaodong Li

Orcid: 0000-0002-5985-9886

Affiliations:
  • University of Hong Kong, Department of Computer Science, Hong Kong


According to our database1, Xiaodong Li authored at least 15 papers between 2017 and 2024.

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

2024
ZeroEA: A Zero-Training Entity Alignment Framework via Pre-Trained Language Model.
Proc. VLDB Endow., March, 2024

Accelerating directed densest subgraph queries with software and hardware approaches.
VLDB J., January, 2024

FDM: Effective and efficient incident detection on sparse trajectory data.
Inf. Syst., 2024

From Motif to Path: Connectivity and Homophily.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Large Subgraph Matching: A Comprehensive and Efficient Approach for Heterogeneous Graphs.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
MOSER: Scalable Network Motif Discovery using Serial Test.
Proc. VLDB Endow., November, 2023

2022
The Social Technology and Research (STAR) Lab in the University of Hong Kong.
SIGMOD Rec., 2022

Leveraging Contextual Graphs for Stochastic Weight Completion in Sparse Road Networks.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

2021
On Analyzing Graphs with Motif-Paths.
Proc. VLDB Endow., 2021

2020
Traffic Incident Detection: A Trajectory-based Approach.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

M-Cypher: A GQL Framework Supporting Motifs.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
On Spatial-Aware Community Search.
IEEE Trans. Knowl. Data Eng., 2019

LINC: A Motif Counting Algorithm for Uncertain Graphs.
Proc. VLDB Endow., 2019

2018
Scalable Evaluation of k-NN Queries on Large Uncertain Graphs.
Proceedings of the 21st International Conference on Extending Database Technology, 2018

2017
Effective Community Search over Large Spatial Graphs.
Proc. VLDB Endow., 2017


  Loading...