1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.DB2021
Hash Adaptive Bloom Filter
Rongbiao Xie, Meng Li, Zheyu Miao +4
Bloom filter is a compact memory-efficient probabilistic data structure supporting membership testing, i.e., to check whether an element is in a given set. However, as Bloom filter…
cs.DC2020★ 1 cited
Distributed Subgraph Enumeration via Backtracking-based Framework
Zhaokang Wang, Weiwei Hu, Chunfeng Yuan +2
Finding or monitoring subgraph instances that are isomorphic to a given pattern graph in a data graph is a fundamental query operation in many graph analytic applications, such as…
cs.LG2020
Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization
Jingfan Chen, Guanghui Zhu, Chunfeng Yuan +1
Bayesian optimization is a broadly applied methodology to optimize the expensive black-box function. Despite its success, it still faces the challenge from the high-dimensional sea…