Deepfake has taken the world by storm, triggering a trust crisis. Curren...
The malicious use and widespread dissemination of deepfake pose a signif...
This paper provides an exact simulation algorithm for the sampling from ...
We construct a fast exact algorithm for the simulation of the first-pass...
Over the past few years, developing a broad, universal, and general-purp...
Terahertz (THz) systems are capable of supporting ultra-high data rates
...
Computing is a critical driving force in the development of human
civili...
Faced with the threat of identity leakage during voice data publishing, ...
A new learning algorithm proposed by Brandt and Lin for neural network [...
Fine-grained human action recognition is a core research topic in comput...
This paper aims to solve a distributed learning problem under Byzantine
...
In wireless rechargeable sensor networks (WRSNs), most of researches add...
This work presents FG-Net, a general deep learning framework for large-s...
In Internet of Things, where billions of devices with limited resources ...
Named entity recognition (NER) plays an essential role in natural langua...
Recent years have witnessed the bloom development of the human-centered
...
Wireless signal-based gesture recognition has promoted the developments ...
Self-supervised learning by predicting transformations has demonstrated
...
In this paper, we propose a novel space partitioning strategy for implic...
Driven by applications like Micro Aerial Vehicles (MAVs), driver-less ca...
In this paper, we focus on subspace-based learning problems, where data
...
We propose a framework for Google Map aided UAV navigation in GPS-denied...
Given the potential X-ray radiation risk to the patient, low-dose CT has...
This paper describes the development of a novel algorithm to tackle the
...
Spectrum sensing is a fundamental problem in cognitive radio. We propose...