Higher-order singular value decomposition (HOSVD) is one of the most
cel...
Mixed-precision neural networks (MPNNs) that enable the use of just enou...
Multimodal data, which can comprehensively perceive and recognize the
ph...
Large language models (LLMs) have shown powerful performance and develop...
Formal method-based analysis of the 5G Wireless Communication Protocol i...
Softwarization and virtualization in 5G and beyond necessitate thorough
...
Softwarization and virtualization in 5G and beyond require rigorous test...
As the representation capability of Pre-trained Language Models (PLMs)
i...
To ensure resilient neural network processing on even unreliable hardwar...
As large language models (LLMs) like ChatGPT exhibited unprecedented mac...
The effectiveness and efficiency of 5G software stack vulnerability and
...
The virtualization and softwarization of 5G and NextG are critical enabl...
In this paper, we investigate the employment of reconfigurable intellige...
We present a novel and first-of-its-kind information-theoretic framework...
The paper introduces a novel non-parametric Riemannian regression method...
Automatically detecting software failures is an important task and a
lon...
Unsupervised learning of vision transformers seeks to pretrain an encode...
Gut microbiota plays a crucial role in modulating pig development and he...
Deep reinforcement learning (DRL) breaks through the bottlenecks of
trad...
Label noise and class imbalance commonly coexist in real-world data. Pre...
A diffusion auction is a market to sell commodities over a social networ...
Submodular function maximization is central in numerous data science
app...
Soft errors in large VLSI circuits pose dramatic influence on computing-...
Forking breaches the security and performance of blockchain as it is
sym...
Vision-language models have recently shown great potential on many compu...
DNN-based video object detection (VOD) powers autonomous driving and vid...
Sophisticated traffic analytics, such as the encrypted traffic analytics...
In recent years, supervised or unsupervised learning-based MVS methods
a...
This paper addresses the construction of inverted index for large-scale ...
Ultrasonography is an important routine examination for breast cancer
di...
This paper considers a way of generalizing the t-SVD of third-order tens...
Kernel smooth is the most fundamental technique for data density and
reg...
Winograd convolution is originally proposed to reduce the computing over...
We propose a simple and practical approach for incorporating the effects...
The Android platform introduces the runtime permission model in version ...
It is critical to obtain high resolution features with long range depend...
Extracting roads from high-resolution remote sensing images (HRSIs) is v...
Corrupted labels and class imbalance are commonly encountered in practic...
Depth estimation is a crucial step for 3D reconstruction with panorama i...
Deep learning-based histopathology image classification is a key techniq...
Objectives: To develop and validate a deep learning (DL)-based primary t...
Fine-grained geometry, captured by aggregation of point features in loca...
In this paper, we present a novel perceptual consistency perspective on ...
Most of the existing Siamese-based trackers treat tracking problem as a
...
The liver has a unique blood supply system and plays an important role i...
In large-scale image retrieval, many indexing methods have been proposed...
Carbon nanotube field-effect transistors (CNFET) emerge as a promising
a...
AIoT processors fabricated with newer technology nodes suffer rising sof...
Deformable convolution networks (DCNs) proposed to address the image
rec...
Previous methods for skeleton-based gesture recognition mostly arrange t...