Despite their promising performance across various natural language
proc...
While having achieved great success in rich real-life applications, deep...
Robust prediction of citywide traffic flows at different time periods pl...
In the past decade, deep learning (DL)-based artificial intelligence (AI...
Image-based salient object detection (ISOD) in 360 scenarios is
signific...
Network embedding represents network nodes by a low-dimensional informat...
Minimizing privacy leakage while ensuring data utility is a critical pro...
Federated learning (FL) is a promising machine learning paradigm that en...
Recent years have witnessed the tremendous research interests in network...
Online conversations can go in many directions: some turn out poorly due...
Unmanned ariel vehicle (UAV) can provide superior flexibility and
cost-e...
We propose a hybrid quantum-classical algorithm for quantum state tomogr...
Given the effectiveness and ease of use, Item-based Collaborative Filter...
Recent years have witnessed the world-wide emergence of mega-metropolise...
The deep network model, with the majority built on neural networks, has ...
Segmenting primary objects in a video is an important yet challenging pr...
Recent years have witnessed the unprecedented rising of time series from...
Driven by the wave of urbanization in recent decades, the research topic...
The prevalence of online media has attracted researchers from various do...
Company profiling is an analytical process to build an indepth understan...