220 citations · 452 across the 40 of their papers we have counts for
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cs.DB2020
Tempura: A General Cost Based Optimizer Framework for Incremental Data Processing (Extended Version)
Zuozhi Wang, Kai Zeng, Botong Huang +10
Incremental processing is widely-adopted in many applications, ranging from incremental view maintenance, stream computing, to recently emerging progressive data warehouse and inte…
cs.LG2020★ 5 cited
Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks
Boyuan Feng, Yuke Wang, Zheng Wang +1
With the increasing popularity of graph-based learning, graph neural networks (GNNs) emerge as the essential tool for gaining insights from graphs. However, unlike the conventional…
stat.ML2020★ 2 cited
Physics Informed Deep Kernel Learning
Zheng Wang, Wei Xing, Robert Kirby +1
Deep kernel learning is a promising combination of deep neural networks and nonparametric function learning. However, as a data driven approach, the performance of deep kernel lear…