Yingfan Liu

Orcid: 0000-0002-3743-5249

According to our database1, Yingfan Liu authored at least 12 papers between 2013 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Personalized Programming Guidance based on Deep Programming Learning Style Capturing.
CoRR, 2024

2023
Accelerating massive queries of approximate nearest neighbor search on high-dimensional data.
Knowl. Inf. Syst., October, 2023

One Size Cannot Fit All: a Self-Adaptive Dispatcher for Skewed Hash Join in Shared-nothing RDBMSs.
CoRR, 2023

2022
An Expectation Maximization Based Adaptive Group Testing Method for Improving Efficiency and Sensitivity of Large-Scale Screening of COVID-19.
IEEE J. Biomed. Health Informatics, 2022

2021
Revisiting k-Nearest Neighbor Graph Construction on High-Dimensional Data : Experiments and Analyses.
CoRR, 2021

2019
An efficient LSH indexing on discriminative short codes for high-dimensional nearest neighbors.
Multim. Tools Appl., 2019

2018
Exploiting lower bounds to accelerate approximate nearest neighbor search on high-dimensional data.
Inf. Sci., 2018

Towards Secure Approximate ${k}$ -Nearest Neighbor Query Over Encrypted High-Dimensional Data.
IEEE Access, 2018

2017
Effective optimizations of cluster-based nearest neighbor search in high-dimensional space.
Multim. Syst., 2017

PQBF: I/O-Efficient Approximate Nearest Neighbor Search by Product Quantization.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2014
SK-LSH: An Efficient Index Structure for Approximate Nearest Neighbor Search.
Proc. VLDB Endow., 2014

2013
Near-Optimal Partial Linear Scan for Nearest Neighbor Search in High-Dimensional Space.
Proceedings of the Database Systems for Advanced Applications, 2013


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