Tan Yu

TL;DR: A novel approach and techniques for physics-based electromigration (EM) assessment in power delivery networks of VLSI systems by replacing a currently employed conservative weakest segment criterion with an increase in the voltage drop above the threshold level, caused by EM-induced increase in resistances of the individual interconnect segments.

TL;DR: Through the proposed product quantization network, the author can obtain a discriminative and compact image representation in an end-to-end manner, which further enables a fast and accurate image retrieval.

TL;DR: In this article, a nonlinear kernel generation layer is employed to aggregate convolutional features into a kernel matrix which is guaranteed to be an symmetric positive definite (SPD) matrix, and a vector transformation layer is designed to project the original SPD representation to a more compact and discriminative SPD manifold.

TL;DR: This work proposes a simple and effective strategy termed as Cross-lingual Cross-modal Consolidation (C 3) to improve mVCMR accuracy, and adopts the ensemble similarity as the teacher to guide the training of each stream, leading to a more pow-erful ensemble similarity.