Kai Li

TL;DR: This report summarizes the work of the University of Utah, which was a member of the National Fusion Collaboratory (NFC) Project funded by the United States Department of Energy under the Scientific Discovery through Advanced Computing Program (SciDAC) to develop a persistent infrastructure to enable scientific collaboration for magnetic fusion research.

TL;DR: In this paper , an environment selection based on hierarchical clustering is proposed to solve the problem of minimizing the total pollution cost and the maximum lateness on non-identical parallel batch processing machines with different unit pollution costs.

TL;DR: This work proposes a way of combining the two approaches to compilation so that the performance of the automata-based approach can be achieved without suffering the code size increase due to it.

TL;DR: This study provides a new avenue to reveal the “endophenotype” role of microbial networks in linking genotype to end-point phenotypes in plants, and illustrates a more comprehensive picture of the genetic architecture underlying the leaf microbiome by network mapping.

TL;DR: In this paper , the authors proposed a new method CM-Unet based on the U-Net framework to address the problems of holes, omissions, and fuzzy edge segmentation.