Federated learning is an emerging distributed machine learning method,
e...
Natural language understanding (NLU) is integral to various social media...
Wave propagation problems are typically formulated as partial differenti...
In this work, we develop an adaptive algorithm for the efficient numeric...
Traffic management systems play a vital role in ensuring safe and effici...
Magnetic Resonance Spectroscopy (MRS) is an important non-invasive techn...
Recently, numerous efforts have continued to push up performance boundar...
Social media platforms are essential outlets for expressing opinions,
pr...
Millions of users are active on social media. To allow users to better
s...
Document layout analysis is a crucial prerequisite for document
understa...
Acceleration of large language model pre-training is a critical issue in...
Coronary CT angiography (CCTA) scans are widely used for diagnosis of
co...
Many machine learning applications encounter a situation where model
pro...
Large language models (LLMs) such as ChatGPT and GPT-4 have recently
dem...
Multi-view clustering (MVC) based on non-negative matrix factorization (...
Social media is daily creating massive multimedia content with paired im...
The goal of continuous sign language recognition(CSLR) research is to ap...
To deal with the explosive growth of mobile traffic, millimeter-wave (mm...
Sharpness aware minimization (SAM) optimizer has been extensively explor...
Given only a set of images, neural implicit surface representation has s...
The multimedia communications with texts and images are popular on socia...
People may perform diverse gestures affected by various mental and physi...
Privacy protection raises great attention on both legal levels and user
...
Path planning in the multi-robot system refers to calculating a set of
a...
Traffic signal control is safety-critical for our daily life. Roughly
on...
When reading a story, humans can rapidly understand new fictional charac...
The ultimate goal of continuous sign language recognition(CSLR) is to
fa...
Objective: Radiomics, an emerging tool for medical image analysis, is
po...
Knowledge distillation is one of the primary methods of transferring
kno...
The GAN-based infrared and visible image fusion methods have gained
ever...
An NLP model that understands stories should be able to understand the
c...
Language features are ever-evolving in the real-world social media
envir...
Unsupervised summarization methods have achieved remarkable results by
i...
Online and offline handwritten Chinese text recognition (HTCR) has been
...
Aiming at the problem that the spatial-temporal hierarchical continuous ...
In this paper, we consider the prediction of the helium concentrations a...
Millimeter-wave (mmWave) communication technology offers a potential and...
In recommender systems, models mostly use a combination of embedding lay...
We propose the shared task of cross-lingual conversation summarization,
...
As the body of research on machine narrative comprehension grows, there ...
Due to its safety-critical property, the image-based diagnosis is desire...
Complaining is a speech act that expresses a negative inconsistency betw...
With the rapid development of multimedia technology, Augmented Reality (...
We propose a new task for assessing machines' skills of understanding
fi...
Continuous Sign Language Recognition (CSLR) is a challenging research ta...
Huge volumes of patient queries are daily generated on online health for...
Oriented object detection is a crucial task in computer vision. Current
...
Vulnerability of various machine learning methods to adversarial example...
Non-maximum suppression (NMS) is widely used in object detection pipelin...
Attention mechanisms are dominating the explainability of deep models. T...