Yinda Zhang

Orcid: 0000-0002-4060-287X

Affiliations:
  • University of Pennsylvania, PA, USA
  • University of Chicago, IL, USA (former)


According to our database1, Yinda Zhang authored at least 13 papers between 2020 and 2025.

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

2025
Achieving Top-$K$K-fairness for Finding Global Top-$K$K Frequent Items.
IEEE Trans. Knowl. Data Eng., April, 2025

Enabling Silent Telemetry Data Transmission with InvisiFlow.
Proceedings of the 22nd USENIX Symposium on Networked Systems Design and Implementation, 2025

2024
OctoSketch: Enabling Real-Time, Continuous Network Monitoring over Multiple Cores.
Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

2023
CocoSketch: High-Performance Sketch-Based Measurement Over Arbitrary Partial Key Query.
IEEE/ACM Trans. Netw., December, 2023

A Sketch Framework for Approximate Data Stream Processing in Sliding Windows.
IEEE Trans. Knowl. Data Eng., May, 2023

Double-Anonymous Sketch: Achieving Top-K-fairness for Finding Global Top-K Frequent Items.
Proc. ACM Manag. Data, 2023

2022
QCluster: Clustering Packets for Flow Scheduling.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

MinMax Sampling: A Near-optimal Global Summary for Aggregation in the Wide Area.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

PeriodicSketch: Finding Periodic Items in Data Streams.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
CocoSketch: high-performance sketch-based measurement over arbitrary partial key query.
Proceedings of the ACM SIGCOMM 2021 Conference, Virtual Event, USA, August 23-27, 2021., 2021

2020
On-Off Sketch: A Fast and Accurate Sketch on Persistence.
Proc. VLDB Endow., 2020

QCluster: Clustering Packets for FlowScheduling.
CoRR, 2020

Sliding Sketches: A Framework using Time Zones for Data Stream Processing in Sliding Windows.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020


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