91 citations · 251 across the 24 of their papers we have counts for
6 papers · 1 filter
MIMO Systems with Reconfigurable Antennas: Joint Channel Estimation and Mode Selection
Fariba Armandoust, Ehsan Tohidi, Martin Kasparick +3
Reconfigurable antennas (RAs) are a promising technology to enhance the capacity and coverage of wireless communication systems. However, RA systems have two major challenges: (i)…
Deep Factorization Model for Robust Recommendation
Li Wang, Qiang Zhao, Wei Wang
Recently, malevolent user hacking has become a huge problem for real-world companies. In order to learn predictive models for recommender systems, factorization techniques have bee…
Search for relativistic fractionally charged particles in space
DAMPE Collaboration, F. Alemanno, C. Altomare +148
More than a century after the performance of the oil drop experiment, the possible existence of fractionally charged particles FCP still remains unsettled. The search for FCPs is c…
Low Rank Tensor Decompositions and Approximations
Jiawang Nie, Li Wang, Zequn Zheng
There exist linear relations among tensor entries of low rank tensors. These linear relations can be expressed by multi-linear polynomials, which are called generating polynomials.…
Scalable and Sparsity-Aware Privacy-Preserving K-means Clustering with Application to Fraud Detection
Yingting Liu, Chaochao Chen, Jamie Cui +2
K-means is one of the most widely used clustering models in practice. Due to the problem of data isolation and the requirement for high model performance, how to jointly build prac…
Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation
Chaochao Chen, Huiwen Wu, Jiajie Su +3
Cross Domain Recommendation (CDR) has been popularly studied to alleviate the cold-start and data sparsity problem commonly existed in recommender systems. CDR models can improve t…