Meng Li

Orcid: 0000-0001-5764-960X

Affiliations:
  • Nanjing University, State Key Laboratory for Novel Software Technology, China


According to our database1, Meng Li authored at least 22 papers between 2016 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Bamboo Filters: Make Resizing Smooth and Adaptive.
IEEE/ACM Trans. Netw., October, 2024

A Generic Framework for Finding Special Quadratic Elements in Data Streams.
IEEE/ACM Trans. Netw., August, 2024

Oasis: An Optimal Disjoint Segmented Learned Range Filter.
Proc. VLDB Endow., April, 2024

ACER: Accelerating Complex Event Recognition via Two-Phase Filtering under Range Bitmap-Based Indexes.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

The Reinforcement Cuckoo Filter.
Proceedings of the IEEE INFOCOM 2024, 2024

2023
Seesaw Counting Filter: A Dynamic Filtering Framework for Vulnerable Negative Keys.
IEEE Trans. Knowl. Data Eng., December, 2023

Bloom Filter With Noisy Coding Framework for Multi-Set Membership Testing.
IEEE Trans. Knowl. Data Eng., July, 2023

A Pareto optimal Bloom filter family with hash adaptivity.
VLDB J., May, 2023

ROVEC: Runtime Optimization of Vectorized Expression Evaluation for Column Store.
IEEE Trans. Knowl. Data Eng., March, 2023

ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation.
Proc. VLDB Endow., 2023

Variable-length Encoding Framework: A Generic Framework for Enhancing the Accuracy of Approximate Membership Queries.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
Packet-in request redirection: A load-balancing mechanism for minimizing control plane response time in SDNs.
J. Syst. Archit., 2022

DUET: A Generic Framework for Finding Special Quadratic Elements in Data Streams.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Seesaw Counting Filter: An Efficient Guardian for Vulnerable Negative Keys During Dynamic Filtering.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Bamboo Filters: Make Resizing Smooth.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
Hash Adaptive Bloom Filter.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
Thresholded Monitoring in Distributed Data Streams.
IEEE/ACM Trans. Netw., 2020

Finding Persistent Items in Distributed Datasets.
IEEE/ACM Trans. Netw., 2020

Packet-in Request Redirection for Minimizing Control Plane Response Time.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

2018
Identifying and Estimating Persistent Items in Data Streams.
IEEE/ACM Trans. Netw., 2018

Finding Persistent Items in Distributed Datasets.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

2016
Noisy Bloom Filters for Multi-Set Membership Testing.
Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science, 2016


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