Indoor localization is getting increasing demands for various cutting-ed...
Scarcity of health care resources could result in the unavoidable conseq...
We explore the methodology and theory of reward-directed generation via
...
The recent surge of large language models (LLMs) highlights their abilit...
Recently, there has been a surge of interest in introducing vision into ...
Dynamic diagnosis is desirable when medical tests are costly or
time-con...
Diffusion models achieve state-of-the-art performance in various generat...
Online influence maximization aims to maximize the influence spread of a...
Deep Reinforcement Learning (RL) powered by neural net approximation of ...
Bandit problems with linear or concave reward have been extensively stud...
Eluder dimension and information gain are two widely used methods of
com...
Federated Learning (FL) coordinates with numerous heterogeneous devices ...
Deep residual networks (ResNets) have demonstrated better generalization...
Federated learning enables a large amount of edge computing devices to l...