Large-scale networks are commonly encountered in practice (e.g., Faceboo...
We study here a fixed mini-batch gradient decent (FMGD) algorithm to sol...
Labeling mistakes are frequently encountered in real-world applications....
Modern statistical analysis often encounters high dimensional models but...
We present Diversity-Aware Meta Visual Prompting (DAM-VP), an efficient ...
We study the dynamics of matrix-valued time series with observed network...
Deep learning methods have contributed substantially to the rapid advanc...
Knowledge-enhanced methods that take advantage of auxiliary knowledge gr...
Topic evolution modeling has received significant attentions in recent
d...
Distributed systems have been widely used in practice to accomplish data...
Mobile edge computing (MEC) provides computational services at the edge ...