Chao Pan

TL;DR: The proposed ST-GST performs iterative applications of spatio-temporal graph wavelets and nonlinear activation functions, and is promising for the real-world scenarios with limited training data, and also allows for a theoretical analysis, which shows that the proposed ST -GST is stable to small perturbations of input signals and structures.

TL;DR: In this paper, the authors consider the problem of approximate K-means clustering with outliers and side information provided by same-cluster queries and possibly noisy answers, and show that under some mild assumptions on the smallest cluster size, one can obtain an $(1+\epsilon)$-approximation for the optimal potential with probability at least $1-delta.

TL;DR: In this paper, a two-dimensional molecular data storage system that records information in both the sequence and the backbone structure of DNA was proposed, which can serve both as a write-once and rewritable memory for heterogenous data.

TL;DR: The problem of approximate K-means clustering with outliers and side information provided by same-cluster queries and possibly noisy answers is considered, and the solution shows that, under some mild assumptions on the smallest cluster size, one can obtain an $(1+\epsilon)-approximation for the optimal potential with probability at least $1-\delta".