Augmented Language Models (ALMs) empower large language models with the
...
Grasping objects is a fundamental yet important capability of robots, an...
Advanced persistent threats (APTs) have novel features such as multi-sta...
Ethylene leakage detection has become one of the most important research...
This paper presents our submission to the Expression Classification Chal...
Dereverberation is often performed directly on the reverberant audio sig...
In this paper, the problem of joint communication and sensing is studied...
With its promise of increasing softwarization, improving disaggregabilit...
Speech quality assessment has been a critical component in many voice
co...
3D-controllable portrait synthesis has significantly advanced, thanks to...
In regions that practice common law, relevant historical cases are essen...
With the development of generative-based self-supervised learning (SSL)
...
This paper presents our submission to the Multi-Task Learning (MTL) Chal...
Traditional nonnegative matrix factorization (NMF) learns a new feature
...
In this paper, we briefly introduce our submission to the Valence-Arousa...
Particle robots are novel biologically-inspired robotic systems where
lo...
In this paper, a novel distributed scheduling algorithm is proposed, whi...
This paper investigates the throughput performance issue of the
relay-as...
Channel pruning has made major headway in the design of efficient deep
l...
Compressing convolutional neural networks (CNNs) by pruning and distilla...
The system design and algorithm development of mobile 3D printing robots...
Emotion recognition in conversation (ERC) is a crucial component in affe...
Generative adversarial networks (GANs), e.g., StyleGAN2, play a vital ro...
End-to-end speech translation aims to translate speech in one language i...
Due to the rapid densification of small cells in 5G and beyond cellular
...
Formula Student Driverless challenges engineering students to develop
au...
Channel pruning has received ever-increasing focus on network compressio...
Speech-to-text translation (ST), which translates source language speech...
End-to-end speech translation (ST), which directly translates from sourc...
Current Neural Machine Translation (NMT) employs a language-specific enc...
This paper presents an unsupervised method to learn a neural network, na...
User experience in modern content discovery applications critically depe...
This paper presents Pinterest Related Pins, an item-to-item recommendati...