23 citations · 33 across the 8 of their papers we have counts for
8 papers
One Size Cannot Fit All: a Self-Adaptive Dispatcher for Skewed Hash Join in Shared-nothing RDBMSs
Jinxin Yang, Hui Li, Yiming Si +6
Shared-nothing architecture has been widely adopted in various commercial distributed RDBMSs. Thanks to the architecture, query can be processed in parallel and accelerated by scal…
Random Ensemble Reinforcement Learning for Traffic Signal Control
Ruijie Qi, Jianbin Huang, He Li +3
Traffic signal control is a significant part of the construction of intelligent transportation. An efficient traffic signal control strategy can reduce traffic congestion, improve…
Revisiting -Nearest Neighbor Graph Construction on High-Dimensional Data : Experiments and Analyses
Liu Yingfan, Cheng Hong, Cui Jiangtao
The -nearest neighbor graph (KNNG) on high-dimensional data is a data structure widely used in many applications such as similarity search, dimension reduction and clustering. D…
Enhanced countering adversarial attacks via input denoising and feature restoring
Yanni Li, Wenhui Zhang, Jiawei Liu +3
Despite the fact that deep neural networks (DNNs) have achieved prominent performance in various applications, it is well known that DNNs are vulnerable to adversarial examples/sam…
An Efficient Secure Dynamic Skyline Query Model
Weiguo Wang, Hui Li, Yanguo Peng +4
It is now cost-effective to outsource large dataset and perform query over the cloud. However, in this scenario, there exist serious security and privacy issues that sensitive info…
DISCO: Influence Maximization Meets Network Embedding and Deep Learning
Hui Li, Mengting Xu, Sourav S Bhowmick +3
Since its introduction in 2003, the influence maximization (IM) problem has drawn significant research attention in the literature. The aim of IM is to select a set of k users who…
ONCE and ONCE+: Counting the Frequency of Time-constrained Serial Episodes in a Streaming Sequence
Hui Li, Sizhe Peng, Jian Li +3
As a representative sequential pattern mining problem, counting the frequency of serial episodes from a streaming sequence has drawn continuous attention in academia due to its wid…
Time is What Prevents Everything from Happening at Once: Propagation Time-conscious Influence Maximization
Hui Li, Sourav S Bhowmick, Jiangtao Cui +1
The influence maximization (IM) problem as defined in the seminal paper by Kempe et al. has received widespread attention from various research communities, leading to the design o…