We study neural image compression based on the Sparse Visual Representat...
Design of process control scheme is critical for quality assurance to re...
As the rapid progression of practical applications based on Large Langua...
Aggregating distributed energy resources in power systems significantly
...
This paper focuses on multiple-access protocol design in a wireless netw...
This paper focuses on the design of transmission methods and reflection
...
Person Re-identification (ReID) plays a more and more crucial role in re...
Unsupervised domain adaptive person re-identification (Re-ID) methods
al...
Adversarial attacks can compromise the robustness of real-world detectio...
Predictive Autoscaling is used to forecast the workloads of servers and
...
Recently, multi-reference entropy model has been proposed, which capture...
We study universal zero-shot segmentation in this work to achieve panopt...
Learning unnormalized statistical models (e.g., energy-based models) is
...
Interaction between the background vehicles (BVs) and automated vehicles...
Developing monolingual large Pre-trained Language Models (PLMs) is shown...
Replay-based methods have proved their effectiveness on online continual...
Zero-shot instance segmentation aims to detect and precisely segment obj...
Projection-free online learning has drawn increasing interest due to its...
Machine learning (ML) has revolutionized transportation systems, enablin...
In recent years, there has been rapid development in learned image
compr...
As of today, 5G is rolling out across the world, but academia and indust...
Learned image compression has achieved remarkable performance. Transform...
User experience in mobile communications is vulnerable to worse quality ...
This paper focuses on multi-user downlink signal transmission in a wirel...
Most prior works on intelligent reflecting surface (IRS) merely consider...
Reconfigurable intelligent surface (RIS) has recently drawn intensive
at...
Intelligent reflecting surface (IRS) is envisioned to become a key techn...
Intelligent reflecting surface (IRS) has recently received much attentio...
This paper focuses on studying orthogonal and non-orthogonal multiple ac...
Dataset distillation reduces the network training cost by synthesizing s...
Dataset distillation aims to generate small datasets with little informa...
Recently, learned image compression has achieved remarkable performance....
This paper establishes an unconditionally bound-preserving and energy-st...
In the context of cell-free massive multi-input multi-output (CFmMIMO),
...
This letter aims to clarify the impact of channel aging and phase noise ...
KDD CUP 2022 proposes a time-series forecasting task on spatial dynamic ...
We propose and analyze a semi-discrete parametric finite element scheme ...
Variance reduction techniques such as SPIDER/SARAH/STORM have been
exten...
We study the backward compatible problem for person re-identification
(R...
Recently, high-quality video conferencing with fewer transmission bits h...
In this work, we investigate into the performance of mainstream neural
g...
The previous deep video compression approaches only use the single scale...
In this paper, we address the problem of joint sensing, computation, and...
In this paper, we investigate an online prediction strategy named as
Dis...
In order to achieve terabits-per-second (Tbps) data rates in the
sixth-g...
To meet the demand of supreme data rates in terabits-per-second, the
nex...
Exploiting the degree of freedom in the frequency domain and the near-fa...
Intelligent reflecting surface (IRS) is a cost-efficient technique to im...
Visible-infrared person re-identification (VI-ReID) is a challenging and...
Photorealistic rendering and reposing of humans is important for enablin...