In this paper, we propose a simultaneously transmitting and reflecting
r...
In this paper, we propose a robust secure transmission scheme for an act...
A key challenge for LiDAR-based 3D object detection is to capture suffic...
The rapid advancement of AI technology has made text generation tools li...
Deep neural networks are facing severe threats from adversarial attacks....
In this article, we propose two numerical methods, the Gaussian Process ...
In this paper, we consider deep neural networks for solving inverse prob...
Identifying hidden dynamics from observed data is a significant and
chal...
Relying on the classical connection between Backward Stochastic Differen...
The hyperspectral image (HSI) unmixing task is essentially an inverse
pr...
Efficient and effective learning is one of the ultimate goals of the dee...
The residual method with deep neural networks as function parametrizatio...
Economic factors can have substantial effects on transportation crash tr...
Learning-based Adaptive Bit Rate (ABR) method, aiming to learn outstandi...
Objective: Ultrahigh-resolution optical coherence microscopy (OCM) has
r...
Deep learning has been used in many areas, such as feature detections in...
Due to the fluctuation of throughput under various network conditions, h...
Real-time video streaming is now one of the main applications in all net...
Rate control is widely adopted during video streaming to provide both hi...
Convolutional neural networks are powerful tools for image segmentation ...
Dynamic adaptive streaming over HTTP (DASH) has recently been widely dep...
Estimating correspondence between two images and extracting the foregrou...