Data is a critical asset in AI, as high-quality datasets can significant...
In recent years, semantic communication has been a popular research topi...
Understanding human interaction with objects is an important research to...
Multispectral pedestrian detection achieves better visibility in challen...
With the popularity of implicit neural representations, or neural radian...
Since existing mobile communication networks may not be able to meet the...
The rapid development of information and communications technology has
e...
In this paper, a multipath component aggregation (MCA) mechanism is
intr...
Robotic dexterous grasping is a challenging problem due to the high degr...
Autonomous drone racing is becoming an excellent platform to challenge
q...
We consider signal source localization from range-difference measurement...
Differentiable architecture search (DARTS) has been a mainstream directi...
3D human reconstruction from RGB images achieves decent results in good
...
Implicit neural representations have shown promising potential for the 3...
Millimeter Wave (mmWave) Radar is gaining popularity as it can work in
a...
Multivariate time series anomaly detection has been extensively studied ...
Implicit neural representations have shown compelling results in offline...
Weighted Majority Voting (WMV) is a well-known optimal decision rule for...
In an asynchronous federated learning framework, the server updates the
...
Federated learning (FL) is a collaborative learning paradigm where
parti...
Semantic-oriented communication has been considered as a promising to bo...
Architecture ranking has recently been advocated to design an efficient ...
For protecting users' private data, local differential privacy (LDP) has...
With the increased penetration and proliferation of Internet of Things (...
Outlier ensemble methods have shown outstanding performance on the disco...
In differential privacy (DP), a challenging problem is to generate synth...
Vision-based dynamic pedestrian intrusion detection (PID), judging wheth...
Imagine when you line up in a store, the person in front of you can make...
With the proliferation of training data, distributed machine learning (D...
We study a novel problem of sponsored search (SS) for E-Commerce platfor...
Online advertising has been the major monetization approach for Internet...
As the largest e-commerce platform, Taobao helps advertisers reach billi...
In this paper, we study the incentive mechanism design for real-time dat...
Incentive mechanism plays a critical role in privacy-aware crowdsensing....