8 citations · 22 across the 5 of their papers we have counts for
5 papers
A2: Efficient Automated Attacker for Boosting Adversarial Training
Zhuoer Xu, Guanghui Zhu, Changhua Meng +5
Based on the significant improvement of model robustness by AT (Adversarial Training), various variants have been proposed to further boost the performance. Well-recognized methods…
UniGPS: A Unified Programming Framework for Distributed Graph Processing
Zhaokang Wang, Junhong Li, Yifan Qi +3
The industry and academia have proposed many distributed graph processing systems. However, the existing systems are not friendly enough for users like data analysts and algorithm…
DIFER: Differentiable Automated Feature Engineering
Guanghui Zhu, Zhuoer Xu, Xu Guo +2
Feature engineering, a crucial step of machine learning, aims to extract useful features from raw data to improve data quality. In recent years, great efforts have been devoted to…
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…
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…