In this paper, we explored how to boost speech emotion recognition (SER)...
Federated Learning (FL) requires frequent exchange of model parameters, ...
Multicast short video streaming (MSVS) can effectively reduce network tr...
Although automatic emotion recognition (AER) has recently drawn signific...
We propose a digital twin-assisted adaptive preloading scheme to enhance...
In recent years, personality has been regarded as a valuable personal fa...
In automatic emotion recognition (AER), labels assigned by different hum...
In this paper, we propose a digital twin (DT)-assisted resource demand
p...
In this paper, we propose a novel distributed learning scheme, named
gro...
Full-duplex (FD) technique can remarkably boost the network capacity in ...
This paper proposes handling training data sparsity in speech-based auto...
Recently, making recommendations for ephemeral groups which contain dyna...
Gradient-based explanation methods play an important role in the field o...
Beamforming (BF) training is crucial to establishing reliable millimeter...
Edge caching is emerging as the most promising solution to reduce the co...
In this tutorial paper, we look into the evolution and prospect of netwo...
In this paper, we investigate the joint device activity and data detecti...
In this paper, we study a network slicing problem for edge-cloud orchest...
Collaboration among industrial Internet of Things (IoT) devices and edge...
Automatic emotion recognition in conversation (ERC) is crucial for
emoti...
Sequential Recommendation is a prominent topic in current research, whic...
Automatic depression detection has attracted increasing amount of attent...
Recent years have witnessed the progress of sequential recommendation in...
Split learning (SL) is a collaborative learning framework, which can tra...
Emotion recognition is a key attribute for artificial intelligence syste...
Nowadays, with the explosive growth of multimodal reviews on social medi...
Accurate prediction in session-based recommendation has achieved progres...
With the global roll-out of the fifth generation (5G) networks, it is
ne...
In this paper, we investigate a radio access network (RAN) slicing probl...
In this paper, a novel two-branch neural network model structure is prop...
In this paper, we investigate a computing task scheduling problem in
spa...
Future railway is expected to accommodate both train operation services ...
Predicting the mutation status of genes in tumors is of great clinical
s...
Beam alignment (BA) is to ensure the transmitter and receiver beams are
...