Chaoyi Ma

Orcid: 0000-0002-3572-0046

According to our database1, Chaoyi Ma authored at least 25 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
From CountMin to Super kJoin Sketches for Flow Spread Estimation.
IEEE Trans. Netw. Sci. Eng., 2024

2023
Policy enforcement in traditional non-SDN networks.
J. Parallel Distributed Comput., July, 2023

Randomized Error Removal for Online Spread Estimation in High-Speed Networks.
IEEE/ACM Trans. Netw., April, 2023

Single Update Sketch with Variable Counter Structure.
Proc. VLDB Endow., 2023

Real-time Spread Burst Detection in Data Streaming.
Proc. ACM Meas. Anal. Comput. Syst., 2023

Attention Weighted Mixture of Experts with Contrastive Learning for Personalized Ranking in E-commerce.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
Fast and Accurate Cardinality Estimation by Self-Morphing Bitmaps.
IEEE/ACM Trans. Netw., 2022

Virtual Filter for Non-Duplicate Sampling With Network Applications.
IEEE/ACM Trans. Netw., 2022

Super Spreader Identification Using Geometric-Min Filter.
IEEE/ACM Trans. Netw., 2022

Online Cardinality Estimation by Self-morphing Bitmaps.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Supporting Real-time Networkwide T-Queries in High-speed Networks.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

Training Medical-Diagnosis Neural Networks on the Cloud with Privacy-Sensitive Patient Data from Multiple Clients.
Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing, 2022

2021
A Novel Modified Sparrow Search Algorithm with Application in Side Lobe Level Reduction of Linear Antenna Array.
Wirel. Commun. Mob. Comput., 2021

Spread Estimation With Non-Duplicate Sampling in High-Speed Networks.
IEEE/ACM Trans. Netw., 2021

Randomized Error Removal for Online Spread Estimation in Data Streaming.
Proc. VLDB Endow., 2021

A unified Neural Network Approach to E-CommerceRelevance Learning.
CoRR, 2021

Noise Measurement and Removal for Data Streaming Algorithms with Network Applications.
Proceedings of the IFIP Networking Conference, 2021

On Outsourcing Artificial Neural Network Learning of Privacy-Sensitive Medical Data to the Cloud.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Virtual Filter for Non-duplicate Sampling.
Proceedings of the 29th IEEE International Conference on Network Protocols, 2021

Supporting Real-Time ${T}$-Queries on Network Traffic with a Cloud-Based Offloading Model.
Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

2020
An Efficient K-Persistent Spread Estimator for Traffic Measurement in High-Speed Networks.
IEEE/ACM Trans. Netw., 2020

Online Spread Estimation with Non-duplicate Sampling.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

2019
Generalized Sketch Families for Network Traffic Measurement.
Proc. ACM Meas. Anal. Comput. Syst., 2019

From Semantic Retrieval to Pairwise Ranking: Applying Deep Learning in E-commerce Search.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

2015
BUPT_PRIS at TAC KBP 2015.
Proceedings of the 2015 Text Analysis Conference, 2015


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