2 citations · 4 across the 3 of their papers we have counts for
4 papers
Local Differentially Private Frequency Estimation based on Learned Sketches
Meifan Zhang, Sixin Lin, Lihua Yin
Sketches are widely used for frequency estimation of data with a large domain. However, sketches-based frequency estimation faces more challenges when considering privacy. Local di…
Approximate Query Processing for Group-By Queries based on Conditional Generative Models
Meifan Zhang, Hongzhi Wang
The Group-By query is an important kind of query, which is common and widely used in data warehouses, data analytics, and data visualization. Approximate query processing is an eff…
LAQP: Learning-based Approximate Query Processing
Meifan Zhang, Hongzhi Wang
Querying on big data is a challenging task due to the rapid growth of data amount. Approximate query processing (AQP) is a way to meet the requirement of fast response. In this pap…
Diversification on Big Data in Query Processing
Meifan Zhang, Hongzhi Wang, Jianzhong Li +1
Recently, in the area of big data, some popular applications such as web search engines and recommendation systems, face the problem to diversify results during query processing. I…