Complex manipulation tasks often require robots with complementary
capab...
Multi-tenancy in public clouds may lead to co-location interference on s...
Understanding the continuous states of objects is essential for task lea...
We introduce Alexa Arena, a user-centric simulation platform for Embodie...
In Click-through rate (CTR) prediction models, a user's interest is usua...
With the recent progress of simulations by 3D modeling software and game...
Although partially autonomous driving (AD) systems are already available...
Click-through rate (CTR) prediction plays an important role in online
ad...
Collaborative filtering (CF), as a standard method for recommendation wi...
Language-guided Embodied AI benchmarks requiring an agent to navigate an...
Multi-task learning (MTL) has been widely used in recommender systems,
w...
Finding influential users in social networks is a fundamental problem wi...
Aligning humans' assessment of what a robot can do with its true capabil...
Human collaborators can effectively communicate with their partners to f...
Online real-time bidding (RTB) is known as a complex auction game where ...
Top-k Nearest Geosocial Keyword (T-kNGK) query on geosocial network is
d...
We target modeling latent dynamics in high-dimension marked event sequen...
The prevalence of social media and the development of geo-positioning
te...
Social recommendation leverages social information to solve data sparsit...
One of the main challenges of advancing task-oriented learning such as v...
As a significant business paradigm, many online information platforms ha...
With the popularity of mobile devices and the development of geo-positio...
Nowadays, events usually burst and are propagated online through multipl...
Topic popularity prediction in social networks has drawn much attention
...
In this paper, we present a general framework for learning social afford...