Yang Song

Orcid: 0009-0008-2611-757X

Affiliations:
  • Northeastern University, College of Information Science and Engineering, Shenyang, China


According to our database1, Yang Song authored at least 13 papers between 2018 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
Container loading problem based on robotic loader system: An optimization approach.
Expert Syst. Appl., February, 2024

Service recommendation in JointCloud environments: An efficient regret theory-based Qos-aware approach.
Comput. Networks, 2024

CyberStar: Simple, Elastic and Cost-Effective Network Functions Management in Cloud Network at Scale.
Proceedings of the 2024 USENIX Annual Technical Conference, 2024

Canal Mesh: A Cloud-Scale Sidecar-Free Multi-Tenant Service Mesh Architecture.
Proceedings of the ACM SIGCOMM 2024 Conference, 2024

Understanding Network Startup for Secure Containers in Multi-Tenant Clouds: Performance, Bottleneck and Optimization.
Proceedings of the 2024 ACM on Internet Measurement Conference, 2024

A Hybrid Testing System on P4 Cloud Gateway.
Proceedings of the 2024 SIGCOMM Workshop on Formal Methods Aided Network Operation, 2024

2023
BrePartition: Optimized High-Dimensional kNN Search with Bregman Distances (Extended Abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
BrePartition: Optimized High-Dimensional kNN Search With Bregman Distances.
IEEE Trans. Knowl. Data Eng., 2022

Accelerating Hypergraph Motif Counting Based on Hyperedge Relations.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

Efficient Subhypergraph Containment Queries on Hypergraph Databases.
Proceedings of the Web Information Systems and Applications, 2022

2021
ProMIPS: Efficient High-Dimensional c-Approximate Maximum Inner Product Search with a Lightweight Index.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2018
Approximate Order-Sensitive k-NN Queries over Correlated High-Dimensional Data.
IEEE Trans. Knowl. Data Eng., 2018

LIDH: An Efficient Filtering Method for Approximate k Nearest Neighbor Queries Based on Local Intrinsic Dimension.
Proceedings of the Web and Big Data - Second International Joint Conference, 2018


  Loading...