Hao Zhang

Orcid: 0000-0002-0026-9283

Affiliations:
  • Chinese University of Hong Kong, Hong Kong
  • Wuhan University, State Key Laboratory of Software Engineering, China (former)


According to our database1, Hao Zhang authored at least 15 papers between 2016 and 2023.

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

2023
Learned sketch for subgraph counting: a holistic approach.
VLDB J., September, 2023

2022
Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Parallel Query Processing: To Separate Communication from Computation.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

How Learning Can Help Complex Cyclic Join Decomposition.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
SQL-G: Efficient Graph Analytics by SQL.
IEEE Trans. Knowl. Data Eng., 2021

Uncertainty-aware Cardinality Estimation by Neural Network Gaussian Process.
CoRR, 2021

Graph Ordering: Towards the Optimal by Learning.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

A Learned Sketch for Subgraph Counting.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Fast Distributed Complex Join Processing.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
Distributed Subgraph Counting: A General Approach.
Proc. VLDB Endow., 2020

Graph Ordering: Towards the Optimal by Learning.
CoRR, 2020

2017
Subgraph Matching: on Compression and Computation.
Proc. VLDB Endow., 2017

Efficient MapReduce algorithms for triangle listing in billion-scale graphs.
Distributed Parallel Databases, 2017

Efficient Local Clustering Coefficient Estimation in Massive Graphs.
Proceedings of the Database Systems for Advanced Applications, 2017

2016
Efficient triangle listing for billion-scale graphs.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016


  Loading...