activity
20162021
most citedComplexity and Efficient Algorithms for Data Inconsistency Evaluating and Repairing

1 citations · 4 across the 8 of their papers we have counts for

collaborators

23 papers

cs.DB2021

Sublinear Time Nearest Neighbor Search over Generalized Weighted Manhattan Distance

Huan Hu, Jianzhong Li

Nearest Neighbor Search (NNS) over generalized weighted distances is fundamental to a wide range of applications. The problem of NNS over the generalized weighted square Euclidean…

cs.DB2020

Efficient Approximate Nearest Neighbor Search for Multiple Weighted Distance Functions

Huan Hu, Jianzhong Li

Nearest neighbor search is fundamental to a wide range of applications. Since the exact nearest neighbor search suffers from the "curse of dimensionality", approximate approaches,…

cs.CG20201 cited

A Sub-linear Time Algorithm for Approximating k-Nearest-Neighbor with Full Quality Guarantee

Hengzhao Ma, Jianzhong Li

In this paper we propose an algorithm for the approximate k-Nearest-Neighbors problem. According to the existing researches, there are two kinds of approximation criterion. One is…

cs.DB2020

Sampling Based Approximate Skyline Calculation on Big Data

Xingxing Xiao, Jianzhong Li

The existing algorithms for processing skyline queries cannot adapt to big data. This paper proposes two approximate skyline algorithms based on sampling. The first algorithm obtai…

cs.DB20201 cited

Complexity and Efficient Algorithms for Data Inconsistency Evaluating and Repairing

Dongjing Miao, Zhipeng Cai, Jianzhong Li +2

Data inconsistency evaluating and repairing are major concerns in data quality management. As the basic computing task, optimal subset repair is not only applied for cost estimatio…

cs.AI2019

Auto-Model: Utilizing Research Papers and HPO Techniques to Deal with the CASH problem

Chunnan Wang, Hongzhi Wang, Tianyu Mu +2

In many fields, a mass of algorithms with completely different hyperparameters have been developed to address the same type of problems. Choosing the algorithm and hyperparameter s…