Maximal biclique enumeration is a fundamental problem in bipartite graph...
Deep Neural Networks (DNNs) have been ubiquitously adopted in internet o...
Tabular visualization techniques integrate visual representations with
t...
Blind Face Restoration (BFR) aims to construct a high-quality (HQ) face ...
Domain adaptive semantic segmentation attempts to make satisfactory dens...
Finding all maximal k-plexes on networks is a fundamental research probl...
Deep neural networks (DNNs) have become ubiquitous techniques in mobile ...
Domain adaptation (DA) attempts to transfer the knowledge from a labeled...
Unsupervised domain adaptation has recently emerged as an effective para...
Cohesive subgraph mining on attributed graphs is a fundamental problem i...
Domain adaptive semantic segmentation refers to making predictions on a
...
Domain Adaptation (DA) attempts to transfer knowledge learned in the lab...
Microblogs are widely used to express people's opinions and feelings in ...
Indexes provide a method to access data in databases quickly. It can imp...
Temporal graphs are ubiquitous. Mining communities that are bursting in ...
In-memory databases (IMDBs) are gaining increasing popularity in big dat...