Spiking Neural Networks (SNNs) are well known as a promising energy-effi...
Spiking neural networks (SNNs) are brain-inspired energy-efficient model...
Due to limited resources on edge and different characteristics of deep n...
As deep neural networks (DNNs) are being applied to a wide range of edge...
In this paper, we present our solutions for the 5th Workshop and Competi...
Open radio access network (ORAN) provides an open architecture to implem...
The lacking of analytic solutions of diverse partial differential equati...
Numerous physics theories are rooted in partial differential equations
(...
In deep learning, neural networks serve as noisy channels between input ...
Batteries plays an essential role in modern energy ecosystem and are wid...
Event cameras are considered to have great potential for computer vision...
Earth observation is fundamental for a range of human activities includi...
Recently audio-driven talking face video generation has attracted
consid...
This paper designs a new and scientific environmental quality assessment...
Video frame interpolation is a challenging task due to the ever-changing...
In this paper, we present our solutions for the Multimodal Sentiment Ana...
Humans usually convey emotions voluntarily or involuntarily by facial
ex...
Networks are common in physics, biology, computer science, and social
sc...
This paper presents a novel approach that supports natural language voic...
Transfer learning aims to leverage knowledge from pre-trained models to
...
Information transfer between coupled stochastic dynamics, measured by
tr...
Recently, Multilayer Perceptron (MLP) becomes the hotspot in the field o...
Recording fast motion in a high FPS (frame-per-second) requires expensiv...
While traditional statistical signal processing model-based methods can
...
Domain adaptation targets at knowledge acquisition and dissemination fro...
We propose the Fourier-domain transfer entropy spectrum, a novel
general...
Machine learning over-fitting caused by data scarcity greatly limits the...