Event sequence, asynchronously generated with random timestamp, is ubiquitous among
applications. The precise and arbitrary timestamp can carry important clues about the …

For doubly fed induction generator (DFIG)-based wind energy conversion systems (WECSs),
large electromotive force will be induced in the rotor circuit during grid faults. Without …

With the rapid development of face manipulation technology, it is difficult for human eyes to
distinguish fake face images. On the contrary, Convolutional Neural Network (CNN) …

Lots of Deepfake videos are circulating on the Internet, which not only damages the personal
rights of the forged individual, but also pollutes the web environment. What’s worse, it may …

Fake detection has become an urgent task. Generative adversarial networks (GANs) extended
to deep learning has shown its extraordinary ability in the fields of image, audio, and …

In recent years, denoising methods based on deep learning have achieved unparalleled
performance at the cost of large computational complexity. In this work, we propose an Efficient …

Hepatic stellate cells (HSCs) constitute the liver sinusoid with Kupffer cells and liver
sinusoidal endothelial cells. While the sinusoid functions as the gateway to liver inflammation, …

Intestinal-type gastric cancer is preceded by premalignant lesions, including chronic atrophic
gastritis and intestinal metaplasia. In this study, we constructed a single-cell atlas for …

Point processes are becoming very popular in modeling asynchronous sequential data due
to their sound mathematical foundation and strength in modeling a variety of real-world …

The outlook for T-cell malignancies remain poor due to the lack of effective therapeutic options.
Chimeric antigen receptor (CAR) immunotherapy has recently shown promise in clinical …