In dyadic speaker-listener interactions, the listener's head reactions a...
Generative chat models, such as ChatGPT and GPT-4, have revolutionized
n...
In recent years, pre-trained language models have undergone rapid develo...
Large-scale language models like ChatGPT and GPT-4 have gained attention...
In Causal Discovery with latent variables, We define two data paradigms:...
News recommendation aims to predict click behaviors based on user behavi...
Planar object tracking is a critical computer vision problem and has dra...
Metaverse is expected to create a virtual world closely connected with
r...
To enable the pre-trained models to be fine-tuned with local data on edg...
The issue of factual consistency in abstractive summarization has attrac...
The algorithms of one-shot neural architecture search(NAS) have been wid...
The study of electromagnetic detection satellite scheduling problem (EDS...
Knowledge graph embedding (KGE) aims to learn continuous vectors of rela...
Modern cloud computing systems contain hundreds to thousands of computin...
As a disruptive technology that originates from cryptocurrency, blockcha...
Aiming at high-dimensional (HD) data acquisition and analysis, snapshot
...
Fixating fractured pelvis fragments with the sacroiliac screw is a commo...
This paper investigates the application of physical-layer network coding...
For collecting high-quality high-resolution (HR) MR image, we propose a ...
This work presents the design and implementation of a blockchain system ...
The advent of distributed energy resources (DERs), such as distributed
r...
The fast growth of distributed energy resources (DERs), such as distribu...
With the booming of smart grid, The ubiquitously deployed smart meters
c...
In this paper, we study the power iteration algorithm for the spiked ten...
Heating, Ventilation, and Air Conditioning (HVAC) energy consumption acc...
Transactive energy plays a key role in the operation and energy manageme...
As the communication infrastructure of the blockchain system, the underl...
To reduce the amount of transmitted data, feature map based fusion is
re...
Unobserved confounders are a long-standing issue in causal inference usi...
While self-attention mechanism has shown promising results for many visi...
With the increasing popularity of deep neural networks (DNNs), it has
re...
Face anti-spoofing has become an increasingly important and critical sec...
Structured pruning, especially channel pruning is widely used for the re...
Determining the precise rank is an important problem in many large-scale...
Autonomous vehicles can combine their own data with that of other vehicl...
To improve the execution speed and efficiency of neural networks in embe...
Micro-energy harvesting wireless network (MEHWN) enables a perpetual net...
With rapidly scaling up of deep neural networks (DNNs), extensive resear...
Autonomous vehicles may make wrong decisions due to inaccurate detection...
Quadratic discriminant analysis (QDA) is a simple method to classify a
s...