activity
20182022
most citedHybrid Beamforming for Millimeter Wave Systems Using the MMSE Criterion

282 citations · 316 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CV2022

Coarse-to-Fine Cascaded Networks with Smooth Predicting for Video Facial Expression Recognition

Fanglei Xue, Zichang Tan, Yu Zhu +2

Facial expression recognition plays an important role in human-computer interaction. In this paper, we propose the Coarse-to-Fine Cascaded network with Smooth Predicting (CFC-SP) t…

cs.IT201934 cited

Hybrid MMSE Beamforming for Multiuser Millimeter Wave Communication Systems

Jiaqi Cong, Tian Lin, Yu Zhu

This letter investigates the hybrid analog and digital beamforming (HBF) design for multiuser millimeter wave (mmWave) communication systems based on the minimum mean square error…

cs.IT2019

Beamforming Design for Large-Scale Antenna Arrays Using Deep Learning

Tian Lin, Yu Zhu

Beamforming (BF) design for large-scale antenna arrays with limited radio frequency chains and the phase-shifter-based analog BF architecture, has been recognized as a key issue in…

eess.SP2019

Hybrid beamforming for single carrier mmWave MIMO systems

Tian Lin, Jiaqi Cong, Yu Zhu

Hybrid analog and digital beamforming (HBF) has been recognized as an attractive technique offering a tradeoff between hardware implementation limitation and system performance for…

cs.IT2019282 cited

Hybrid Beamforming for Millimeter Wave Systems Using the MMSE Criterion

Tian Lin, Jiaqi Cong, Yu Zhu +2

Hybrid analog and digital beamforming (HBF) has recently emerged as an attractive technique for millimeter-wave (mmWave) communication systems. It well balances the demand for suff…

cs.IR2018

Addressing the Item Cold-start Problem by Attribute-driven Active Learning

Yu Zhu, Jinhao Lin, Shibi He +4

In recommender systems, cold-start issues are situations where no previous events, e.g. ratings, are known for certain users or items. In this paper, we focus on the item cold-star…