Mobile edge computing (MEC) is essential for next-generation mobile netw...
Exploiting the computational heterogeneity of mobile devices and edge no...
The cold-start problem is a long-standing challenge in recommender syste...
Adversarial training (AT) is widely considered as the most promising str...
Joint caching and transmission optimization problem is challenging due t...
The coronavirus disease 2019 (COVID-19) continues to have a negative imp...
Although a variety of methods have been proposed for sequential
recommen...
Generalization is one of the most important problems in deep learning (D...
Scalable packet classification is a key requirement to support scalable
...
The goal of co-salient object detection (CoSOD) is to discover salient
o...
Cross-domain recommendation (CDR) has been attracting increasing attenti...
Traditional robust recommendation methods view atypical user-item
intera...
Robust recommendation aims at capturing true preference of users from no...
Musical expressivity is an important aspect of musical performance for h...
Millimeter wave (mmWave) based gesture recognition technology provides a...
Recently, information cascade prediction has attracted increasing intere...
Explainable recommendation is far from being well solved partly due to t...
Secure communication is a promising technology for wireless networks bec...