Si Zhang

We formulate this problem from an optimization perspective based on the alignment consistency principle, and develop effective and scalable algorithms to solve it. Expand

We develop a new allocation rule, called OCBAm+, which is more efficient and robust than currently existing procedures in the literature. Expand

We propose a new framework to perform efficient multi-fidelity simulation optimization when simulation models with different fidelity levels are available. Expand

In this paper, we focus on mining user-specified high-order network structures and aim to find a structure-rich subgraph which does not break many such structures by separating the subgraph from the rest. Expand

We integrate the idea of OT with evolutionary algorithms to improve the efficiency of solving optimization problems with limited scale solution space by using multi-fidelity models. Expand

We introduce two taxonomies to group the existing works based on the types of convolutions and the areas of applications, then highlight graph convolutional network models in details. Expand

The channel response of data communication over a multipath wireless channel is often required to be known at the receiver. Expand